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AI Voice Agents - The Complete Guide to Voice Chat (2025)

Nov 23, 2025
7 mins

Learn everything about an AI voice agents, its benefits, implementation tips, and the AI voice chat applications for business success.

Longer wait times, high call volumes, and language barriers in call centers often frustrate customers. Complex interactive voice response (IVR) menus only add to the problem, leading to customer dissatisfaction. That’s why companies are adopting smarter self-service solutions like artificial intelligence (AI) voice agents. In fact, experts predict the voice bot market will reach $98.2 billion by 2027, showing a clear trend toward smarter solutions to improving customer experience.

AI voice agents technology combines Natural Language Processing (NLP), machine learning, and voice recognition to transform customer interactions. It provides quicker, more efficient service and improves the overall customer experience.

In this guide, we'll explore what AI voice agents are, their key features, practical use cases, and tips on how to implement a voice agent in your business.

What is an AI voice agent?

An AI voice agent is a two-way conversational tool that communicates with the customer. It automates inbound and outbound calls without human intervention and transfers calls to a human agent when needed.

The biggest advantage? Callers can navigate an IVR by speaking naturally, without listening to long, complex menus or pressing numbers on a keypad.

Popular AI voice agent examples include Apple's Siri, Google Assistant, and Amazon's Alexa. These tools simplify interactions, provide instant answers, and automate tasks. In contrast, advanced bots like IBM’s Watson Assistant and Microsoft’s Cortana handle customer support, sales inquiries, and internal communications.

Types of AI voice agents

Here’s a breakdown of the four main types of AI voice agents and how they can benefit your business:

Rule-based AI voice agent

Rule-based voice agent use predefined sets of questions and rules to offer answers or perform tasks. Such voice agents handle routine tasks and customer FAQs. They answer all queries that fall under the if-this-then-that logic.

For example, an e-commerce site using a bot to guide customers in checking their order status or a banking site handling routine inquiries like balance checks, bill payments, transaction histories, etc.

AI-assisted voice agent

AI-assisted voice agents use machine learning and natural language to interpret conversations so they can analyze the context and grasp what the speaker means. This makes them far more capable and user-friendly than the conventional, rule-based voice agents.

Let’s suppose a user asks Alexa, 'What's the weather tomorrow?' and then follows up with, 'How about next week?' it remembers the context. This adaptability means customers don’t have to repeat themselves, creating a more contextual customer experience.

Conversational AI voice agent

Conversational voice agents make conversations using natural language. They’re more nuanced than AI-assisted voice agents as they can handle complex conversations using everyday language to create more personalized interactions.

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Google Duplex, and IBM Watson Assistant, are examples of conversational voice agents. They can make phone calls, make reservations, and handle natural conversations with a human-like tone.

Voice-activated voice agent

These bots use voice commands to answer practical questions and perform routine tasks. They are more flexible than personal voice agents that adapt to speakers and perform customized tasks.

Such bots serve as digital assistants to AI-assisted bots like Siri.

How does an AI voice agent improve customer engagement?

A customer calling your sales team wants to feel valued and understood. An AI voice agent does that. It puts the customer at the center, creating a better experience and driving business benefits as a result. Let’s understand it with a few use cases. 

Use case: Get a quick update on order status, 24/7

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Assuming the AI voice agent is integrated into your CRM, it greets the customer by name. Instead of navigating through a branched IVR to get their order status, the customer can simply say ‘order status’ and the voice bot pulls out the order details from the CRM and gives the user a real-time update within seconds.

Sheraz Ali, the Founder of HARO Links Builder states that their voice agent managed over 30% of customer interactions in one of their company projects and drastically reduced wait times.

“It also improved our response efficiency and led to a 20% increase in customer satisfaction scores and a reduction in operational costs within three months.” 

Benefits:

  • Decreased waiting time.
  • Limited IVR menu navigation.
  • No human intervention is required.
  • Quick response times.
  • Reduced business costs.
  • Tangible increase in customer satisfaction.

Use case: Improve language learning for students 

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A language learning platform uses a voice agent to provide real-time translations and personalized tutoring. So the voice agent instantly supports students in any subject by translating and clarifying complex terms in their preferred language.

Benefits:

  • Reduced requirement for multilingual staff.
  • Increases inclusivity as the bot answers in the user’s preferred language.
  • Language barriers are removed.

Use case: Improve patient outcomes in healthcare

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It's easy to miss appointments or forget to deliver prescriptions to the patient’s home timely. A healthcare service can employ a voice agent to deliver personalized care and offer preliminary health assessments, medication reminders, and easy appointment scheduling, all according to the individual patient's needs.

Benefits

  • Saves time by streamlining appointment bookings.
  • Ensures medication adherence with timely reminders.
  • Reduces workload for healthcare providers with automated support.

Use case: Streamline routine financial services 

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Once integrated with the banking system, the voice agent automates routine financial tasks, provides instant account information, processes transactions, and delivers personalized financial advice around the clock.

Benefits:

  • 24/7 access to financial services without wait times.
  • Improves customer experience with quick, accurate responses.
  • Automates routine tasks, freeing up staff for complex queries.
  • Provides personalized advice to improve financial decision-making.

Use case: Get personal shopping assistance  

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An e-commerce platform can use a voice agent to assist customers with product selection, provide personalized recommendations, and automate the sales process from start to finish.

Benefits:

  • Delivers a personalized shopping experience 24/7.
  • Boosts sales with customized recommendations.
  • Reduces cart abandonment by guiding customers to checkout.
  • Improves customer satisfaction with fast, accurate service.

Features of an AI voice agent

To understand why voice agents are so effective, let’s look at the key features that improve the overall customer service experience while streamlining business operations.

The best voice agents for businesses come equipped with:

Natural language understanding (NLU)

An AI voice agent understands user queries by converting speech into text using AI and NLP. It then forms an appropriate response and converts it back into speech using text-to-speech (TTS) technology. This ability to understand and respond in natural, conversational language sets AI voice agents apart from traditional IVR systems, which rely on rigid, menu-based responses.

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Personalization capabilities

Customers want quick, personalized responses to their queries, unlike complex IVR systems that frustrate them with lengthy menus. An AI voice agent offers contextual conversations, adapting to the user’s intent. It detects speech cues, skips irrelevant interactions, and also transfers calls to the right agent.

Hence, when comparing voice agents to IVRs, the bot's ability to offer personalized interactions like a human outshines communication systems that follow even the best IVR practices.

Multi-language support

AI voice agents break down language barriers, supporting multiple languages to provide a more inclusive and accessible customer experience. Businesses can easily connect with diverse customer bases across the globe.

For instance, Plivo supports speech recognition in 27 languages and their regional variants. 

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Integration with other platforms and services

AI voice agents easily integrate with platforms like customer relationship management (CRM) systems, Enterprise resource planning (ERP) tools, and ticketing software. They access and update customer data in real time to ensure accuracy.

These bots also pull relevant details, automate follow-up actions, and sync with communication channels like email or chat. This creates a personalized and consistent customer experience across all touchpoints.

Benefits of voice agents

Let’s now look at the benefits of AI voice agents.  

Enhanced user experience

Many businesses have concerns over the quality of a voice agent for customer service. However, a voice agent answers queries quickly regardless of the time of the day. Speedy, reliable answers are important to providing excellent service, making voice agents an invaluable tool for businesses looking to improve customer satisfaction.

Additionally, businesses can:

  • Handle routine queries and common tasks faster than human agents.
  • Remove the need for users to navigate complex IVR menus.
  • Manage high-volume calls without errors.

Better cost efficiency

An AI voice agent doesn’t just save time, it also saves money. It boosts user satisfaction and reduces support times by automating repetitive queries. This frees up staff for higher-value tasks, and interacting with customers after hours has improved lead conversion.

The direct benefits to businesses are:

  • Reduces the need for a larger customer support team.
  • Allows human agents to focus on complex, high-value inquiries.
  • Engages users outside business hours to boost marketing return on investment (ROI).
  • Lowers training costs and minimizes the risk of providing incorrect information.

Accessibility for users with disabilities

With over one billion people living with disabilities worldwide, voice agents make services more inclusive. They enable hands-free, accessible interactions, allowing customers with visual, motor, or cognitive impairments to engage with the business easily. This not only improves customer satisfaction but also broadens the company’s reach to a more diverse audience.

Data collection and analysis for improved services

Voice agents don’t just serve customers — they also gather insights. Use this data to analyze data and improve services, personalize marketing efforts, and make more informed business decisions.

24/7 availability

Unlike human agents, voice agents are always accessible. They ensure customers get help whenever they need it, contributing to a more consistent and reliable customer experience.

Future of AI voice technology

As IBM's data engineer, Chris Hay puts it, "We're entering an era where every mom-and-pop shop can have the same level of customer service as an enterprise." This statement captures the transformative potential of voice recognition technology.

AI voice chat applications benefit businesses of all sizes by delivering top-tier customer experiences. Tech giants are already paving the way. Microsoft has updated its Copilot AI with advanced voice capabilities, allowing it to handle complex queries with natural language reasoning, while Meta has introduced voice AI to its messaging apps.

AI voice assistants will move beyond smartphones, integrating into wearable devices like the recently unveiled Meta Orion augmented reality glasses. For businesses handling sensitive client relationships, this could mean smarter, empathetic bots that mirror the tone and approach of a human assistant.

Key upcoming trends:

  • Hyper-personalization: Customized voices and targeted recommendations.
  • Advanced problem-solving: Managing complex queries using natural language.
  • Real-time analytics: Analyzing customer tone for deeper insights.

Yet, challenges remain. Arvind Rongala, the founder of a skill-management solution provider, shares, “There are still issues, especially with data privacy and ensuring interactions are human-like. In addition to resolving problems with bias in training data and regulatory compliance, businesses must strike a balance between automation and personalization. For example, adhering to GDPR regarding the storage of voice data can be challenging, but doing so is essential to fostering trust.”

Ultimately, businesses need to prioritize data security, explore multi-device integration options, and develop stronger contextual understanding for natural interactions.

Launch an AI voice agent with Plivo

Any scaling business needs a voice agent that's easy to integrate, globally accessible, and cost-effective without sacrificing quality.

Plivo checks all these boxes, offering seamless integration, seven global points of presence for low-latency interactions, and competitive rates starting at just $0.0040 per minute. It's ideal for businesses willing to scale while keeping operational costs in check.

In fact, Plivo can reduce operational costs by up to 40%.

Moreover, its commitment to reliability is backed by a 99.99% uptime guarantee, with failover capabilities that switch within two seconds if any disruptions occur.

You can launch voice agents with Plivo using just a few lines of code.

  • Log in to your OpenAI Account: Secure your API key and RealTime API access.
  • Log in to your Plivo Account: Sign up and get a voice-enabled number.

With integration options for leading speech-to-text (STT) and TTS providers like Deepgram and ElevenLabs, you can launch AI voice agents in multiple regions, including India, using local numbers.

Use Plivo-powered voice agents for: 

  • Personal shopping assistance: Offer personalized recommendations, go through product selections, and close sales. 
  • Healthcare automation: Improve patient outcomes with medication reminders, and appointment scheduling, and offer preliminary health assessments.
  • Inclusivity in education: Break language barriers in learning with real-time translations and personalized tutoring across multiple subjects.
  • Routine financial services automation: Provide instant account information, personalized financial advice, transaction processing status, etc. to customers.

With a 24/7 AI voice agent, your business can handle these tasks around the clock, ensuring that customers are never left waiting. Want to improve customer experience with Plivo? Contact us today.

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Jan 21, 2026
5 mins

AI Voice Agents for Real Estate (2026): 10 Tools Compared, Real Limitations and What Actually Scales

Compare 10 AI voice agents for real estate in 2026. Evaluate response time, CRM integration, multi-channel support, and scalability to find the right solution.

AI voice agents in real estate are all about response time, coverage and quick follow-through. If your system can't answer calls immediately, qualify intent, book tours and update your CRM without manual cleanup, it's not helping you win more deals; it's adding another layer for you to manage.

This guide isn't for browsing tools. It's for operators deciding whether to commit to AI voice agents in 2026 and ship something that actually helps you scale. We compare 10 platforms based on how they perform after signup, how fast you can go live, what breaks under real lead volume, and what it takes to keep them working week after week.

Top 10 AI Voice Agents for Real Estate (2026)

The goal here is simple: Helping you choose an option that you can launch confidently, not replace after the first integration headache.

1. Plivo

When aiming to build and scale AI voice agents for real estate, you care about two things: reaching prospects first and converting more inquiries into confirmed showings. Plivo excels here since it gives you production-ready AI voice agents that place instant callbacks, answer listing questions from your data, and book tours directly on your agents' calendars. They operate reliably across phone, SMS, WhatsApp and chat without stitching together telephony, AI models and messaging vendors.

Plivo is the AI agent builder platform for voice-first, omnichannel experiences—built on a carrier-grade telephony network trusted by Uber, Meta, Zomato, and thousands of businesses worldwide. Business teams can launch agents without writing code using Vibe agent. Engineering teams can orchestrate custom voice agents in code with full control. The foundation is Plivo's global communications infrastructure spanning 190+ countries: 15+ years of proven reliable infrastructure, low latency, and the call quality enterprises demand.

Core Capabilities:

  • Inbound & Outbound AI Voice Agents: Handle live calls end-to-end, qualify intent, route intelligently and escalate to human agents when needed.
  • Multi-Channel Agent Coverage: Run the same AI agent across phone, SMS, WhatsApp and chat with shared context across channels.
  • No-Code AI Agent Builder (Vibe): Build and deploy voice agents using plain-English instructions, no prompt engineering or coding required.
  • Build your way: Business teams launch with no-code tools; engineering teams build custom voice agents with full-code control. You're never forced into a single way of working.
  • Vertically Integrated Telephony (CPaaS): Voice runs on Plivo's own global telephony infrastructure, avoiding third-party carrier dependencies.
  • Low-Latency Voice AI Stack: Integrated TTS, STT and LLM orchestration enables sub-500ms response latency, critical for natural voice conversations.
  • Enterprise-Grade Reliability: Built on Plivo's proven CPaaS platform with 99.99% uptime, 15+ years of reliable infrastructure, and global carrier connectivity across 190+ countries.
  • CRM & Workflow Integrations: Pull customer context in real time and write call outcomes back to CRMs and support tools automatically. Connect Follow Up Boss, kvCORE, BoomTown, Salesforce, HubSpot, Google Calendar, Outlook, and your MLS/IDX feed.
  • You own the stack: You get to choose your speech-to-text (STT), text-to-speech (TTS), and LLM while keeping prompts and data portable and avoiding lock-in.

Best fit if you:

  • Need real-time voice agents that can operate continuously at scale.
  • Want to avoid stitching telephony, AI and messaging vendors together.
  • Plan to deploy across multiple channels, not voice alone.
  • Have defined workflows for lead qualification, routing or follow-ups.

Not a fit if you:

  • Only need a lightweight voice demo, basic IVR or short-term experiment.
  • Want a fully turnkey, real estate-specific tool with no configuration or workflow control.
  • Don't plan to integrate voice agents into your CRM, data stack or operations.

2. Luron AI

Luron AI is best suited for teams that need 24/7 AI voice agents that never miss calls and qualify leads automatically. It supports multilingual conversations and keeps pacing tight across accents and speaking styles. The system handles inbound and outbound voice conversations in dozens of languages and automates bookings and follow-ups without human staffing.

Core Capabilities:

  • Instant call answer & qualification: AI answers every call, gathers intent, and qualifies leads without hold times.
  • Multilingual support: Handles AI conversations in 45+ languages to cover diverse lead sources.
  • Inbound & outbound support: Manages both types of calls and can also run outbound follow-ups.
  • SMS, chat & email automation: Extends voice agents to text and messaging channels for a unified engagement approach.
  • CRM & integration options: Connects to existing phone systems via SIP trunking and can integrate with CRMs and ticket systems.

Best fit if you:

  • Want 24/7 lead capture and qualification without adding staff.
  • Need multilingual voice conversations for global or diverse markets.
  • Expect to automate bookings, follow-ups and reminders on voice and messaging channels.
  • Have a CRM or existing phone system you must integrate with.

Not a fit if you:

  • Only need a simple inbound answering or IVR replacement without automation.
  • Want a solution focused on voice only, with limited channel reach.
  • Prefer fixed, transparent pricing tiers publicly listed.

3. Callers AI

Callers AI is a platform for automating customer conversations with human-like voice agents that handle both inbound & outbound calls and messaging channels, powered by your brand's data and tone. It's focused on scaling high-volume voice interactions while maintaining contextual continuity across channels in a single branded voice experience.

Core Capabilities:

  • Omni-channel AI interactions: Voice agents run across phone, SMS, WhatsApp and chat from a central AI brain.
  • Human-like voice calls: Agents answer and place calls in a natural conversational style.
  • Lead workflows & use cases: Supports lead qualification, cold call automation, appointment confirmation, retention flows and more.
  • 24/7 availability & language breadth: Designed to handle calls and messaging around the clock, in multiple languages.
  • Context remembering: Conversations carry context across voice and messaging so follow-ups feel continuous.
  • Integrations & automation: Connects to CRMs and tools (300+ integrations) so call outcomes can update your systems.

Best fit if you:

  • Want both inbound and outbound AI calling with consistent, natural-tone responses across channels.
  • Need an AI system that can qualify leads, confirm appointments and manage follow-ups automatically.
  • Are scaling high call volumes 24/7.
  • Prefer a central "brain" that keeps context across channels and workflows.

Not a fit if you:

  • Only want a basic voice or outbound dialer with limited cross-channel logic.
  • Need a tool focused exclusively on simple IVR or basic routing without AI conversation layers.
  • Prefer a product you can set up and forget in minutes without upfront configuration or workflow definition.

4. SquadStack AI

SquadStack AI is best suited for teams that want AI-assisted sales and voice engagement workflows supported by configurable human-in-the-loop automation. It blends automated outreach and qualification with options to escalate to human agents where needed, helpful for revenue teams that are focused on pipeline speed.

Core Capabilities:

  • Automated Lead Engagement: AI enabled workflows proactively contact prospects and qualify them using data-driven sequencing.
  • Voice & Messaging Channels: Supports outbound dialing, ringless voicemail, SMS and multi-touch sequences.
  • Human-in-the-Loop Escalation: Configurable handoffs to live agents when conversations need human judgment.
  • Sales Workflow Automation: Built-in logic for lead routing, prioritization and follow-ups across channels.
  • CRM Integration + Data Sync: Sync outcomes and engagement data back to CRMs like Salesforce, HubSpot, etc.

Best fit if you:

  • Want inbound and outbound automated voice interactions with natural conversation flows and multilingual capability.
  • Need AI that handles lead qualification, follow-ups and reminders as part of sales or customer engagement sequences.
  • Are automating sales outreach and conversational workflows alongside voice calls.

Not a fit if you:

  • Need an AI platform focused on low-latency, bespoke voice agent infrastructure tied tightly to your own telephony stack.
  • Are building a multi-channel bot with CRM/telephony hooks and developer control from the ground up at scale.

5. Telgent

Telgent leans into MLS and portal context. It is best for businesses that want always-on voice AI calling with automated scheduling, intelligent call handling and quick setup. Its platform emphasizes immediate activation, seamless integration with existing phone systems and natural AI responses that handle calls, schedule meetings and engage customers day and night.

Core Capabilities:

  • 24/7 AI voice calling agents: Always-on call automation that answers and routes customer calls at any hour.
  • Lead engagement & scheduling: Automatically books appointments, meetings and showings based on natural language conversations.
  • Inbound call handling: AI answers incoming inquiries, qualifies intent and routes prospects with minimal human intervention.
  • Automated inquiry responses: Provides instant answers to property questions and responds to rental or sales leads.
  • Integration with real estate systems: Works with Zillow, Realtor.com, MLS platforms, Follow Up Boss, kvCORE, BoomTown, Salesforce and HubSpot for CRM continuity.

Best fit if you:

  • Need round-the-clock call handling that captures leads and books appointments without missing inquiries.
  • Want your voice AI to integrate with core real estate tools and CRM systems so client details are synced automatically.
  • Are focused on lead conversion and showing scheduling as part of your customer engagement workflows.

Not a fit if you:

  • Only require basic outbound calling with simple scripts rather than inbound + scheduling automation.
  • Expect a no-config, plug-and-play voice bot that requires zero setup or customization.
  • Want a platform that handles only one channel (voice only) without extending into SMS/WhatsApp/chat automation.

6. AIOnCalls

AIOnCalls is positioned as a virtual receptionist that never misses calls or opportunities. Best for teams that want an always-on voice AI assistant that handles inbound and outbound calls around the clock, engages callers in natural language, qualifies leads, books appointments and updates CRM data.

Core Capabilities:

  • 24/7 Inbound & Outbound Voice Handling: AI answers and places calls around the clock across all hours and holidays.
  • Lead Qualification & Follow-Up Automation: Qualifies callers in real time and automates follow-ups via voice, SMS and email.
  • Appointment Scheduling & Calendar Invites: Books appointments and sends confirmations during calls.
  • CRM & Workflow Integrations: Integrates with CRMs like Zoho, HubSpot, GoHighLevel, Google Calendar for real-time lead syncing and activity logging.
  • Multilingual Conversations: Supports multiple languages and can handle simultaneous call sessions.
  • Live Agent Escalation: Transfers complex calls to human agents when needed.
  • Real-Time Analytics & Transcriptions: Provides live call monitoring, transcripts, sentiment analysis and dashboards.

Best fit if you:

  • Need an AI voice agent that never misses inbound calls and engages leads immediately, 24/7.
  • Want automated lead qualification, booking and follow-ups in voice, SMS, and email without human staffing.
  • Are integrating call outcomes and engagement data into CRM or calendar workflows.
  • Operate in industries where speed-to-lead matters and missed calls are costly.

Not a fit if you:

  • Only need simple IVR or on-premise call routing without conversational automation.
  • Prefer a pure telephony or developer API platform without built-in AI conversational layers.
  • Are looking for a voice agent with deep, specialized industry templates.

7. Brilo AI

Brilo AI is a business-focused AI phone and voice call agent platform that enables teams to automate real-time voice interactions across industries like real estate. It promises fast setup, natural human-like voice responses, 24/7 coverage, integration with business tools and built-in analytics, all without needing a technical team to get started.

Core Capabilities:

  • 24/7 AI voice call agents: Always-on AI phone agents handle inbound calls and customer engagements at any hour.
  • Human-like voice interactions: Conversational voice responses built to sound natural and engaging.
  • Appointment booking & scheduling: Voice agents can book appointments with synced calendars and handle reminders.
  • CRM and business integrations: Integrates with a broad range of business apps (6,000+ app connections claimed) to sync customer context and outcomes.
  • Real-time analytics & insights: Live call transcripts, sentiment analysis, intent tracking and topic detection support actionable insights post-call.
  • Lead qualification automation: Agents engage prospects, capture intent and route high-value leads in real time.

Best fit if you:

  • Need 24/7 automated voice engagement that never misses inbound or high-volume calls for lead capture, scheduling or support.
  • Need a platform that books appointments, manages follow-ups and drives customer engagement without manual management.
  • Plan to integrate the voice agent with CRM, calendar tools and analytics pipelines to maintain context across systems.

Not a fit if you:

  • Simply need a basic phone tree, IVR or traditional call routing system.
  • Are focused solely on developer-centric API telephony without AI built in.
  • Require industry-specific compliance guarantees (HIPAA, PCI, etc.) documented publicly.

8. VocalDesk

VocalDesk is an AI-enabled voice and contact automation platform that helps teams automate calling, lead follow-up, support interactions and scheduling. Its focus is on automated voice conversations and multi-channel engagement with CRM integration and configurable workflows that replace manual outreach tasks.

Core Capabilities:

  • Automated Voice Conversations: Handles inbound and outbound calls using AI to engage, qualify, and route callers.
  • AI-Driven Lead Qualification: Automated conversation flows that marks lead intent and priority.
  • Appointment Booking & Reminders: Schedules meetings and sends reminders as part of automated flows.
  • Multichannel Messaging: Engages customers across voice, text and messaging platforms.
  • CRM & Workflow Sync: Connects with CRM systems and business tools to log interactions and maintain records.

Best fit if you:

  • Want to automate call handling and lead follow-up without manual dialing.
  • Need a solution that combines voice and messaging outreach with CRM context.
  • Are focused on lead qualification and scheduling as part of broader sales engagement.

Not a fit if you:

  • Only need basic call routing or IVR without AI handling.
  • Require explicit developer control over telephony APIs.
  • Rely on hard metrics like latency, concurrency limits or multi-region telephony SLAs.

9. Calldock

Calldock is an AI voice agent platform intended for instant lead engagement, automatic qualification and scheduling. Its system calls leads within seconds of form submission, conducts natural conversations and integrates with calendars and workflows to automate follow-ups and booking.

Core Capabilities:

  • Instant lead callbacks: Calls website leads within ~60 seconds of a submission, boosting early engagement.
  • Calendar booking: Agents can book appointments directly to your calendar during live calls.
  • Multi-channel follow-up: Agents send SMS and email follow-ups as part of the call workflow.
  • Seamless handoff & callbacks: You can trigger human handoffs in natural language and schedule intelligent callbacks.
  • API, webhooks, & integration ecosystem: Support for APIs and pre-call webhooks lets you fetch context before calls and connect with Gmail, Google Calendar, Slack, Zapier and thousands more.
  • Developer playground & documentation: Provides API documentation and code examples for triggered calls and automated workflows.

Best fit if you:

  • Want immediate lead engagement that happens in seconds.
  • Need voice agents that qualify, book and follow up automatically across voice, SMS and email.
  • Plan to integrate voice engagements with calendar and business workflows.
  • Need a voice agent that works with easy templates for common industries with minimal setup.
  • Want a low-code or no-code setup that goes live with simple configuration.

Not a fit if you:

  • Need proper inbound/outbound calling with API integration.
  • Require deep telephony infrastructure control or enterprise telephony SLAs.
  • Are building highly custom dialogue systems that need proprietary LLM tuning beyond the existing templates.

10. Ylopo

Ylopo is a digital marketing and lead gen platform built for the real estate industry. It combines lead capture, nurturing, AI voice calling, AI texting, branded websites and marketing automation into one system that integrates with CRMs and helps real estate teams generate and convert leads.

Core Capabilities:

  • AI Voice Follow-Up: Automatically calls new and existing leads to qualify interest and connect them to agents.
  • AI Text Conversations: Runs two-way SMS conversations to nurture leads until they're ready to talk.
  • AI² Voice + Text System: Combines calling and texting into one coordinated follow-up engine.
  • Automated Appointment Transfers: Delivers live transfers or booked appointments when leads are qualified.
  • Lead Generation & Nurture: Includes PPC ads, remarketing and IDX websites to capture and feed leads into AI follow-up.
  • CRM & Website Integration: Syncs AI conversations and lead activity with CRMs and branded real estate websites.

Best fit if you:

  • Want lead capture with nurturing as a unified system rather than isolated voice interaction tools.
  • Are a realtor or team that wants AI to automatically engage leads by text and phone, not just manage manual contacts.
  • Need branded websites with IDX search and integrated lead capture feeding into automated follow-up.
  • Plan to keep leads engaged over longer time horizons (e.g., 90-day voice follow-up).
  • Value combined marketing + AI follow-up rather than a single channel (voice only).

Not a fit if you:

  • Are looking for pure AI voice agent infrastructure like a telephony-first CPaaS platform.
  • Need tools focused on enterprise-grade telephony performance, low-latency voice systems or custom telephony workflows.

What Matters Most in AI Voice Agents (Beyond the Basics)

1. Telephony Ownership vs. Vendor Stitching

Many AI voice tools rely on third-party telephony stitched together with AI layers. This often introduces latency, call drops and limited routing control at scale.

What to prioritize:

  • Built-in telephony with direct carrier connectivity
  • End-to-end control over call routing and quality
  • Fewer external dependencies

Plivo runs on its own global CPaaS and carrier-grade telephony stack, removing third-party voice dependencies.

2. Real-Time Performance (Latency & Uptime)

Voice conversations break down quickly when responses lag or calls fail. Sub-second latency and high uptime aren't "nice to have"—they're mandatory.

What to validate:

  • Sub-500ms voice response latency
  • 99.99% uptime or better
  • Real-time STT, TTS, and LLM orchestration

Plivo's vertically integrated Voice AI stack is designed for low-latency, real-time conversations on proven infrastructure.

3. Multi-Channel Context, Not Disconnected Bots

Leads move between calls, SMS, WhatsApp and chat. Treating each channel as a separate bot creates broken experiences and duplicate work.

What to look for:

  • Shared context across voice and messaging
  • Unified conversation history
  • Seamless handoffs between channels

Plivo supports multi-channel agents that share context across phone, SMS, WhatsApp and chat from a single system.

4. Integration Depth (CRM, Calendars, Workflows)

Voice agents don't operate in isolation. Without deep integrations, they become another silo your team has to manage.

Prioritize platforms that:

  • Read from and write to CRMs in real time
  • Trigger workflows during live calls
  • Integrate cleanly with calendars and support tools

Plivo integrates directly with CRMs and business systems, allowing agents to act on live data and update records automatically.

5. Built for Scale, Not Just Launch

Many tools work well for pilots but struggle under sustained call volume or multi-region deployment.

Ask:

  • Can this run continuously without degradation?
  • Are pricing and performance predictable as usage grows?
  • Will this still work when channels or regions expand?

Plivo's AI agents are built on infrastructure that already powers enterprise-grade voice and messaging at global scale.

FAQs

What's the fastest way to go live without breaking existing operations?

Start with a single, contained flow like after-hours inbound calls or instant lead callbacks. Connect your phone numbers, CRM and calendar, define escalation rules and launch! You can expand coverage once live data validates the flow.

How do I ensure voice quality doesn't feel robotic or laggy?

Voice quality depends on latency and telephony control. Platforms with integrated telephony and real-time STT/TTS orchestration keep responses sub-second, which is critical for natural conversations that callers don't hang up on.

How does the agent stay accurate and compliant with real estate data?

The agent should pull from a restricted, curated knowledge source (MLS, IDX, listings) and operate within defined guardrails. When questions exceed scope like pricing nuance, legal terms, fair-housing-sensitive topics, it escalates to a human automatically.

What happens when call volume spikes or multiple leads call at once?

Calls don't fail—they should queue. High-intent conversations can be routed to live agents, while others are qualified, scheduled or followed up asynchronously. Every outcome is logged so nothing gets lost.

How does this fit into my CRM and follow-up workflows?

The agent reads live CRM data during calls and writes outcomes back automatically in the form of notes, disposition, next steps and booked appointments. Your team picks up conversations with full context instead of starting from scratch.

Try Plivo Free

Curious how an AI voice platform performs in your workflows, not just in theory? Plivo offers a free trial account with credits so you can experiment with voice, SMS, WhatsApp and chat services before committing. When you sign up, you get trial credits, can add a phone number and start testing features like real-time voice interactions and multi-channel engagement using APIs or visual tools like PHLO. This lets you validate performance, integrations, and call flows with your actual data—all without upfront cost.

Plivo's trial lets you test core capabilities immediately, making it easy to see how quickly you can build, launch, and refine agents that handle calls, qualify leads and update systems in real time.

Get started with your free trial now and begin building your first agent today.

Jan 20, 2026
5 mins

Best AI Voice Agents for Customer Support and Service (2026): What to Deploy Now

Compare 10 AI voice agent platforms for customer support. Get a practical 30-day pilot framework, implementation workflow, and outcome-driven selection guide.

1) Plivo — The fastest path to production-grade AI voice agents for customer support

A recent Gartner survey found that most customer service leaders plan to explore or pilot conversational GenAI in 2025—making a clear, near-term mandate to deliver something that works on the phone channel, not just in chat. That's your cue to build a reliable voice front door with an AI agent builder platform designed for voice-first, omnichannel experiences.

Why Plivo is #1

Plivo is the AI agent builder platform that lets you build your way. Whether you're a business leader who needs to launch fast or an engineering team building custom workflows, Plivo meets you where you are. Start with no-code tools that let non-technical teams deploy agents in hours. Go deeper with low-code orchestration for more control. Or build from scratch with full-code frameworks that integrate into your existing stack. You're never forced into a single way of working.

What it does for you

Plivo's Voice AI stack is modular by design. Want speed? Use the fully integrated platform—STT, LLM, TTS, and telephony—pre-configured and ready to go. Want control? Orchestrate your agents using code with Plivo's Agentic STT models and Telephony, alongside your preferred LLM providers. Want just the connectivity layer? Use audio streaming or SIP trunking and bring everything else yourself. You decide where Plivo ends and your stack begins.

Underlying it all is a reliable, carrier-grade telephony platform that scales for enterprises—global PSTN/SIP connectivity, number provisioning and porting, call routing with failover, recording with consent, and clean human handoff with full context into your CRM or help desk.

Segment-by-segment fit

If you're SMB, launch fast with no-code tools that let you deploy agents in hours, plus a simple dashboard and connectors for Shopify and Calendly. If you're mid-market, use low-code orchestration for more control, with a modular stack that lets you use what you need—swap in your preferred LLM, STT, or TTS. If you're enterprise, build with full-code frameworks that integrate into your existing stack, plus a modular Voice AI stack to pick-and-choose what you need, governance features (RBAC, audit transcripts, data residency), and contact center integration for high availability and reporting.

Start with Voice, go everywhere

Voice is the hardest channel to get right—and it's where Plivo leads. But the same flexible building experience extends to WhatsApp, SMS, RCS, and Chat. Build once, deploy across channels, and meet customers wherever they are.

Suitable for

  • Fintech customer service: consent-first flows, secure keypad capture, dispute status, and callbacks.
  • Healthcare scheduling: multilingual intake, appointment changes, escalations with a summarized handoff.
  • Retail and logistics: order status, returns, delivery windows, and SMS/WhatsApp follow-ups.

No more choosing between a locked-in platform that's easy but limiting, or a DIY approach that's flexible but painful. Plivo gives you both—simplicity when you want it, depth when you need it.

Explore the Voice API, check pricing, review compliance, handle numbers & porting, browse case studies, or jump into the quickstart.

2) Google Dialogflow CX — Complex, branching flows without spaghetti

Key features

Dialogflow CX uses a flow-and-page model to capture state and branching, so you can manage multi-step intents like returns, warranty claims, and multi-factor verification without dozens of brittle intents. It supports voice and text and includes versioning, experiments, and test tools. For telephony, you can use partner gateways or SIP; for global reach, put Plivo at the edge and connect to CX.

Why it matters

Complicated support journeys need explicit state. CX gives you that structure. If your "Where's my order?" workflow forks based on identity checks, fulfillment method, and policy windows, you can keep logic readable and testable. CX also plays well with multilingual experiences and mixed initiative, so callers can change course mid-conversation.

Implementation steps

Start with a single high-volume journey and draw it as a CX flow. Add a fallback page with a short menu for noisy lines. Ground the bot in your knowledge base and order system, then add handoff rules. Put Plivo in front for numbers, routing, and recording consent, and pass summaries back to your ticketing system.

Suitable for

Teams with multiple brands or product lines, where branching grows quickly and consistency matters across regions.

3) Amazon Lex + Amazon Connect — AWS-first voice automation that ops can own

Key features

Lex handles the speech and NLU for voice and text. Connect adds the contact-center fabric: routing, IVR, call recording, and agent desktop. It's a natural fit if your data and apps live in AWS and security prefers IAM-managed access. For global numbers or bring-your-own carrier control, front with Plivo and route into Connect.

Why it matters

Staying inside AWS accelerates procurement, security reviews, and monitoring. You can call Lambdas for tool use, search knowledge with Kendra, and use Connect metrics and contact flows your ops team already knows. That shortens time to value and concentrates governance in one place.

Implementation steps

Define one call flow in Connect (ID&V → status lookup → handoff). Build Lex intents from your top FAQs. Add Plivo for number management, routing, and failover. Send summaries back to your CRM or help desk. Keep a barge-in plan for noisy environments and a keypad fallback for payment flows.

Suitable for

IT-led programs where AWS standardization, auditability, and a single pane of glass for monitoring are priorities.

4) IBM Watson Assistant — Governance-first deployments in regulated industries

Key features

Watson Assistant supports omnichannel conversations with documented security and governance options, including deployment paths designed for regulated workloads. If your risk office leads the decision, IBM provides clear guidance on audit logging, data handling, and architectural choices. Add Plivo to handle PSTN/SIP, call consent prompts, and compliant recording policies.

Why it matters

Financial services and healthcare teams often need auditability from day one. When you need clear data-handling boundaries and deployment models that align with internal controls, IBM's documentation and support track help you pass reviews without months of back-and-forth.

Implementation steps

Map your data-classification rules to Watson's deployment options. Keep contact recordings and transcriptions in your approved storage. Use Plivo's routing and consent prompts to standardize intake across regions. Summarize calls into your case system for full traceability.

Suitable for

Organizations with heavy compliance needs, strict data residency, or formal audit trails for every customer interaction.

5) Cognigy.AI — IVR modernization with fine-grained voice control

Key features

Cognigy combines a visual designer with a voice gateway that supports streaming ASR, interruptibility, and transfer control. It integrates with multiple speech providers and enterprise systems like SAP and Salesforce. This lets you tune barge-in sensitivity, error handling, and handoff cues rather than living with a one-size-fits-all IVR.

Why it matters

If callers still hear a menu tree, you're wasting time and goodwill. Cognigy helps you replace rigid menus with natural conversations and graceful escalation. You keep the levers you need—timing, sensitivity, fallback prompts—so the agent feels human, not scripted.

Implementation steps

Start with the two intents that create the most queue time. Set barge-in thresholds conservatively and widen them after you test in live traffic. Put Plivo at the edge to manage numbers, recording policies, and failover. Send summaries with disposition tags to your CRM.

Suitable for

Enterprises with legacy IVRs, high call volumes, and a clear need to reduce effort without ripping out the contact-center core.

6) Salesforce Agentforce — CRM-native service automation where your team works

Key features

Agentforce brings AI agents into the Salesforce console and data model. Your service team stays in the view they know, while the agent handles common intents, drafts summaries, and routes cases. Add Plivo for calling so every phone interaction lands in Salesforce with the right context.

Why it matters

When everything you need to resolve an issue already lives in Salesforce, keeping the agent there shortens integration time and improves analytics. Supervisors can coach on the same dashboard and review case summaries, while admins maintain clear governance over data and automations.

Implementation steps

Pick one queue with repetitive calls. Tie identity checks to account data and warranties. Keep a "press 0 for a human" fallback and make sure the agent passes a clean summary with next steps. Use Plivo for the phone edge so call recordings and consent are consistent across regions.

Suitable for

Service teams that treat Salesforce as the system of record and want automation to feel native—not bolted on.

7) Zoom Virtual Agent for Phone — A 24/7 receptionist and concierge

Key features

Zoom's Virtual Agent for Phone handles greetings, routing, and the most common requests. You train it from existing docs and site content, then turn it on for after-hours or full-time reception. It's built for quick wins like appointment scheduling, store hours, and simple status checks with transfers when needed.

Why it matters

If reception lines clog your switchboard, a front-door voice agent can deflect simple questions without new headcount. As you add skills, you can expand from triage to completing tasks. For broader reach, connect Plivo to add global numbers and transactional notifications via SMS or WhatsApp.

Implementation steps

Start with greeting, business hours, and routing. Add appointment booking next. Keep live-agent transfers one click away. If you outgrow the PBX perimeter, bring Plivo in to manage numbers and cross-channel follow-ups.

Suitable for

Single-number switchboards, high-volume reception desks, and teams that need a quick, always-on front door.

8) Sierra — Enterprise "autonomous" agents with category momentum

Key features

Sierra focuses on enterprise-grade AI agents for customer service with an emphasis on agentic workflows. The leadership and market traction give executives confidence to back bigger bets. If you're evaluating multi-channel automation with rigorous SLAs, Sierra is a credible short-list option. Plug it into Plivo for reliable telephony, recording consent, and global routing.

Why it matters

Momentum reduces perceived risk. When you need cross-functional buy-in, a vendor that's already in enterprise production helps. You still need the phone edge right: numbers, routing, and failover that won't buckle under peaks.

Implementation steps

Define two end-to-end journeys (e.g., ID&V + order update; returns approval). Keep human handoff one step away and capture every call summary in your case system. Instrument containment and transfers, then iterate weekly.

Suitable for

Large teams planning multi-channel agents and looking for vendor accountability with clear deliverables and timelines.

9) Tidio (Lyro) — SMB eCommerce chat that pairs well with voice

Key features

Tidio blends live chat, an AI agent, and eCommerce integrations. It's a practical way to resolve repetitive questions, free up your team, and capture intent while buyers are on your site. Add Plivo for a simple order-status line and SMS/WhatsApp updates so customers get answers by phone as well as chat.

Why it matters

eCommerce teams need fast coverage more than complex architectures. You can start with FAQs, then add checkout and account questions. When phone calls spike—promos, holidays—route a basic voice flow through Plivo and keep your agent consistent across channels.

Implementation steps

Load your top FAQs and shipping policies, add a returns flow, and set clear handoff rules. For voice, route a single Plivo number to a lightweight agent that authenticates by order ID and ZIP code, then offers a callback option during peaks.

Suitable for

Lean teams that want to reduce repetitive chat volume now and add phone coverage without standing up a full contact center.

10) Robylon — Multi-channel AI agents focused on support teams

Key features

Robylon specializes in AI-driven customer support across voice, chat, email, and messaging. It integrates with help desks like Zendesk and Freshdesk, supports multiple languages, and offers analytics dashboards designed for service leaders. It's a pragmatic fit if your help desk is the hub of your operation.

Why it matters

You want human-like conversations that escalate cleanly. Robylon's positioning around support workflows means your ticketing, SLAs, and dispositions stay intact. For reliable calling, use Plivo for numbers, routing, and recording consent so your phone channel matches the quality of your chat channel.

Implementation steps

Start with account updates and appointment scheduling. Ground the agent in your help-desk knowledge base and macros. Track resolution time and transfer reasons; refine weekly.

Suitable for

Mid-market support teams who want a focused system that plugs into existing help-desk processes and expands to voice without heavy lifting.

How to run a safe, high-signal pilot in 30 days

Define success first

Pick three metrics: containment, transfer rate, and average resolution time. Write a one-line target for each and a go/no-go threshold. Everyone should know what "good" looks like before you take your first call.

Start with narrow, high-volume intents

"Where's my order?", appointment changes, returns, account updates. These are predictable, frequent, and measurable. Script your handoff sentence so agents never start from zero.

Build the right guardrails

Add a consent prompt, a keypad fallback for sensitive inputs, and a short backup menu for noisy environments. Keep the escalations simple: one route for billing, one for everything else.

Ground every answer

Connect the agent to your CRM/help desk and knowledge base. If the answer doesn't exist in your source of truth, escalate. Summarize every call into the ticket with disposition and next steps.

Iterate weekly

Review 20 call transcripts together. Fix the top three friction points. Update prompts and knowledge. Ship changes. Repeat.

FAQ

What's the fastest way to launch a voice agent without changing my stack?

Keep your telephony and routing on Plivo, connect your preferred conversation engine, and ground it in your CRM/help desk and knowledge base. Start with one number, one intent, and a simple fallback.

How should I measure success in the first 30 days?

Track containment, transfer rate, and resolution time. Listen for barge-in moments and interruptions—they reveal prompt and timing issues that you can fix quickly.

How do I implement consent, recording, and PCI/PHI safely?

Play a clear consent prompt before any recording. Use keypad input for payments or sensitive data. Store recordings and transcripts in approved systems and keep audit logs.

When is Dialogflow CX better than Lex, IBM, or Cognigy?

Choose CX for complex branching flows and multilingual journeys; Lex when your team standardizes on AWS; IBM when governance and deployment control are paramount; Cognigy when you're modernizing IVR with fine-grained voice settings.

How do I handle accents, noise, and barge-in in production?

Use a robust ASR, tune your barge-in sensitivity, and keep a keypad fallback. Test in noisy environments and shorten prompts. Summaries help human agents pick up without asking callers to repeat themselves.

Conclusion: Build the voice edge once, then scale what works

A measured result to anchor ROI. McKinsey reported that, at one company with thousands of agents, applying generative AI raised issue resolution and lowered handling time—small percentage gains that compound into real savings at scale. That's the kind of lift your leadership expects—and the reason to start with a focused pilot that moves one metric.

Bring your "brain" of choice, but keep the phone edge on Plivo so every call connects, every consent is captured, and every handoff carries context. Define three KPIs, pick one journey, and go live with a human fallback. Review transcripts weekly, then scale to the next two intents.

Ready to hear what real-time voice feels like? Build your agent or talk to an expert today.

Jun 19, 2025
5 mins

RCS Marketing 101: Your Complete Guide

Discover how RCS marketing delivers rich, branded messages that drive engagement for your business.

SMS marketing works, but let’s be honest: it feels a bit outdated compared to modern apps.

But what if you could send rich, interactive messages with branded content, images, buttons, and carousels straight to your customers’ native messaging apps?

Rich communication services (RCS) makes that possible.

If you’re ready to explore how RCS marketing can transform your engagement strategy, this guide will walk you through everything you need to know. Let’s get started.

What is RCS marketing? 

RCS marketing uses rich communication services to send interactive, branded messages through a customer’s default messaging app. It’s a modern upgrade to SMS that lets businesses share images, buttons, carousels, and more — all without needing third-party apps.

A user on Reddit summed up this perfectly:

Screenshot of a Reddit comment explaining what RCS is
RCS explained by a Reddit user

RCS lets you send messages that are visually branded with logos and colors while remaining interactive. This turns static updates into an app-like experience inside a message.

This shift is part of a broader industry move, led by Google and backed by major mobile carriers, to upgrade messaging infrastructure and make RCS the default standard on Android devices.

As support continues to grow, businesses are adopting RCS as part of their customer engagement strategy. Platforms like Plivo make that adoption easier with a reliable, enterprise-grade gateway to deliver rich, reliable RCS campaigns at scale.

RCS vs. SMS marketing: A quick comparison

Marketers today are looking for ways to deliver more interactive and visual communication, and RCS is clearly leading the way.

While SMS still works well for simple alerts, it lacks the creativity and engagement that RCS marketing offers.

Let’s take a quick look at RCS vs. SMS marketing.

Key feature SMS marketing RCS marketing
Message length Limited to 160 characters; with longer messages split Up to 8,000 characters in a single message
Multimedia Supports only plain text and links; needs MMS for multimedia Natively supports high-resolution photos, videos, audio, and GIFs
Security and verification No built-in sender verification Includes verified sender profiles with business name, logo, and custom colors
Read receipts No standardized way to know if a message was delivered or read Provides delivery and read receipts for real-time engagement tracking
Typing indicators Doesn't show when the other party is typing Displays typing indicators, creating a more conversational feel
Interactive buttons Not supported; calls to action (CTAs) are limited to plain text links Allows interactive buttons with predefined replies and actions
User experience Static, text-heavy, and transactional Dynamic, visually rich, and conversational — feels more like a mobile app
Analytics and reporting Basic delivery tracking (if supported by carrier) Advanced analytics: opens, clicks, conversions, and user behavior tracking

4 key benefits of RCS marketing

RCS marketing makes messaging feel more natural for both you and your customers. And since you can see what’s working and what’s not, it’s easier to pivot your strategy and get better results.

Here are its four key benefits.

1. Improved user interaction

One of the biggest advantages of RCS marketing is how seamless it makes the experience for your customers. Instead of typing out replies or clicking a link to open a website, users can just tap a button right inside the message.

Want them to book a demo, check order status, or browse products? It’s all possible with just a tap.

Fewer steps mean less effort, and that leads to more people following through. In fact, individuals spend up to 37 seconds engaging with RCS messages, which is a lot longer than most other types of mobile messaging.

 Image showing the engagement results of RCS messaging
People engage more with RCS than any other platform

That extra time and interaction can make all the difference when you’re trying to convert interest into action.

2. Consistent brand experience

RCS marketing doesn’t just tell people who you are — it shows them.

Verified business profiles help people know they’re getting messages from the real brand. Every message shows your brand’s logo, name, colors, and a checkmark. These small details make it clear that the message is coming from a genuine source.

Image showing that MAYI - HOMES sends a verified RCS message with branding
Verified RCS message from MAYI - HOMES

This consistency matters because 88% of people are more likely to buy from a brand they trust.

3. In-depth analytics

With RCS marketing, you can track open rates, button clicks, and how people interact with each part of your message.

You get clear visibility into what’s working and where users are dropping off. 

This makes it much easier to measure the return on investment (ROI) and fine-tune your campaigns. The more you understand how people engage, the better you can shape your messaging for results.

4. Higher conversion potential

RCS marketing makes it easier for customers to take action — whether that’s browsing products, booking a service, or making a purchase — all within the message itself.

With fewer clicks and no need to switch apps, the path to conversion feels effortless. And when it’s that easy, more people follow through.

For example, EaseMyTrip used RCS to run a post-COVID travel survey. They added quick-tap answer options and followed up with a thank-you coupon. The campaign saw a 4x higher click-through rate than email, 10x more survey completions, and a 2.7% increase in conversion rate.

5 major use cases of RCS marketing

Here are five major use cases showing how brands are using RCS marketing effectively.

1. Product promotions

RCS makes product promotions feel more like browsing a store than reading a message. Brands can send image carousels that customers can swipe through to explore new arrivals, check product details, and see what’s available without leaving their messaging app.

Verified RCS message highlights a 25% off promotion on all items
Verified RCS message from Daily-donuts

Example: A fashion retailer promoting its spring collection could send an RCS message featuring a carousel of outfits with styled images, prices, and buttons like “View Lookbook” or “Shop Now.”

Tapping a button could open a mini product page inside the chat, letting customers browse and buy without switching apps.

2. Abandoned cart reminders

The average cart abandonment rate is over 70%, which means most shoppers never make it to the finish line. RCS marketing can help bring them back by making the reminder more engaging and easier to act on.

You can send a message that shows exactly what they left behind, along with a clear button to complete the purchase. It’s visual, straightforward, and the entire experience stays within their messaging app.

Example: A home electronics store could follow up with customers who left a pair of wireless earbuds in their cart. The RCS message might include a product photo, the price, and a “Buy Now” button that takes them straight to checkout.

3. Appointment confirmations and reminders

A PhD thesis from Manchester Metropolitan University found that forgetfulness is the most common reason people skip their appointments.

RCS makes it easier for both businesses and customers to stay on the same page. You can send a message that shows the appointment details along with a simple calendar view. Add buttons to confirm, reschedule, or cancel — all within the chat.

Image depicting an interactive RCS booking confirmation message
Booking confirmation via RCS with quick action buttons

Example: A dental clinic could use RCS to remind patients of upcoming cleanings. The message might show the date, time, and location of the appointment, plus a “Confirm” button and options to “Reschedule” or “Cancel.”

Patients can respond instantly, helping the clinic manage its schedule more efficiently.

4. Customer surveys and feedback

Getting feedback is important, but most customers lack the time or patience to complete lengthy forms. RCS marketing makes it easier by allowing brands to ask short, targeted questions and receive quick responses.

Plus, the rich features of RCS let you include images, ratings, or multiple-choice options, making feedback feel more like a conversation.

Example: A restaurant could send an RCS message after a meal asking customers to rate their experience with simple buttons like “Excellent,” “Good,” or “Needs Improvement.”

The message might also include a photo of the dish they ordered and a quick question like, “What did you like most?” This quick interaction makes it easy for customers to respond and gives the restaurant valuable insights.

5. Customer support follow-ups

After a support request is resolved, following up shows customers you care and helps close the loop on their experience. But if the follow-up message gets buried in an email inbox or goes unnoticed, that opportunity to connect is lost.

With RCS marketing, you can send a quick message to check if everything’s working fine. You can include helpful buttons like “Change Password,” “Manage Account,” or “Talk to Support.”

Support bot provides instant replies and follow-ups for customer queries
AI-powered support for account management

RCS marketing myths and realities

Despite RCS marketing’s growing adoption and proven results, some common misconceptions still hold businesses back from trying it. Let’s look at a few of the biggest myths and what’s actually true.

Myth 1: RCS marketing is too expensive

At first glance, RCS business messaging can seem like a pricey upgrade. Rich visuals, tap-to-action buttons, and branded layouts look premium, so it’s easy to assume they come with a hefty cost.

But cost alone doesn’t tell the full story.

What you get in return matters more. RCS drives significantly stronger engagement with higher click-through rates, increased interactions, and better overall outcomes.

Take Club Comex, the loyalty program of North American paint brand Comex. They sent two rich and interactive RCS campaigns to their members and saw a 10x higher click-through rate, which helped increase revenue by 115%.

That’s the value side of the equation. Better targeting and richer content mean more people click, engage, and convert.

Myth 2: RCS marketing doesn’t reach enough users to be worth it

This concern made sense in the early days of RCS, when adoption was still catching up. But the landscape looks very different now.

In June 2024, the 12-month growth of RCS users reached 36.3%, showing faster uptake than other messaging channels. More Android devices support RCS by default, and it’s being rolled out across more networks globally. Even Apple has announced support, which means RCS is on track to reach a massive number of smartphone users worldwide.

With that kind of growth and widespread support, the hesitation around RCS is starting to fade. Brands can confidently invest in RCS marketing knowing it will connect with more customers than ever before.

Myth 3: RCS gets treated like spam and ends up ignored just like emails

Unlike email, RCS messages appear directly in the user’s primary messaging app alongside personal conversations. They include rich media and interactive elements, making them more engaging and less likely to be ignored.

This creates a more natural, conversational experience that drives higher open and response rates than traditional marketing channels.

Why choose Plivo for your RCS marketing needs

With RCS, you can turn simple messages into rich, branded conversations that feel more like chatting than broadcasting.

Plivo gives you the tools to make that shift without the hassle. From verified messaging to smart automation, everything works together to help you connect better and respond faster.

When combined with AI Agents and a unified customer data platform, RCS becomes more than just messaging. You can deliver personalized experiences at scale, automate everyday interactions, and keep conversations flowing without lifting a finger.

Here’s what you get with Plivo’s RCS API:

  • Real-time personalization: AI Agents tailor conversations using customer profiles and behavior triggers to improve engagement and conversions.
  • Multi-channel fallback: If RCS isn’t supported, messages automatically switch to SMS to ensure delivery and maintain consistent communication.
  • Conversational automation: AI Agents handle FAQs, process orders, schedule deliveries, and route complex queries within RCS.
  • All-in-one messaging platform: Manage RCS, SMS, WhatsApp, Voice, and more from a single dashboard.
  • Reliable performance: 99.99% uptime and global infrastructure keep your campaigns running smoothly.

With Plivo’s no-code tools, you can quickly launch AI-powered RCS messaging across channels and deliver a consistent customer experience from day one.

See how you can launch your first RCS marketing campaign with Plivo by requesting a demo today!

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Feb 20, 2025
5 mins

How to Implement 24/7 Customer Service for Your E-Commerce Business

Learn how to implement 24/7 customer service for your e-commerce business. Discover actionable strategies, examples and insights to meet customer expectations.

Customer Experience

“We’re closed at the moment. Please reach out again during our business hours.”

Imagine contacting customer support in an emergency, and this is how they respond. Frustrating?

According to The Consumer  Patience Study, 50% of customers are less likely to spend money on a business that takes longer to respond. If you’re unavailable when your customers need you, your competitors will be.

That’s why 24/7 customer support is critical for e-commerce businesses. It keeps customers engaged, reduces cart abandonment, and drives repeat sales.

So, how do you ensure your customers get the help they need anytime, anywhere? This blog post will show you how to implement effective 24/7 customer service that keeps your business running and your customers returning.

5 ways to offer 24/7 customer service as an e-commerce business

Data from The Harvard Business Review revealed that taking longer than five minutes to respond to a lead can reduce your lead qualification success rate by 10 times. Delaying your response to between five and ten minutes can result in a 400% drop in success. 

Here are five practical ways to deliver 24/7 customer service and enhance customer satisfaction.

Chatbots

Chatbots can simulate human-like conversations with customers in real time. They can guide customers toward resolving their issues and handle tasks like order tracking, product recommendations, and FAQs. 

For small and mid-sized e-commerce businesses, chatbots are a cost-effective way to deliver 24/7 customer service without hiring additional staff. 

In fact, data from Leadoo shows that websites using chatbots can boost conversion rates by 10-100%.

Brooklinen employs AI-powered chatbots on its website to assist customers with product inquiries, order tracking, and common support questions. The bots are available 24/7 to provide assistance outside regular business hours.

Brooklinen’s live chat
Brooklinen chatbots are there for you any time of the day

Omnichannel Communication

Customers reach out through multiple channels—email, chat, phone, and social media—and want a consistent experience no matter what channel they use. 

Omnichannel support ensures customers don’t have to repeat information or start from the beginning whenever they switch channels. This approach can help e-commerce businesses maintain context and personalized support while being available on multiple platforms to offer round-the-clock customer support.

Orvis, a fishing gear and apparel brand, has a great omnichannel strategy. It is so good that they have literally won an award for it.

The channels used include:

  • Retail locations
  • Online website
  • Social media platforms, including Instagram and Pinterest
  • Amazon storefront

Orvis’ homepage
Orvis has a great omnichannel strategy in place

Self-service options

Self-service options empower customers to solve issues on their own. This includes embedding resources like help centers, in-app tutorials and knowledge bases within your website.

A good self-service resource is well-organized, up-to-date, and easy to navigate. It typically includes helpful information about your products. This could be guides, videos, FAQs or blog posts available 24/7, even when your team is not.

Allbirds, known for their sustainable shoes, offers a comprehensive FAQ section covering everything from sizing to returns. It also features an articles section that discusses trends and guides customers in finding the proper footwear for different occasions.

Allbirds’s FAQ page
Allbirds has all questions answered even before you ask it

5. Community forums

Never underestimate the power of active community forums. Active online communities are valuable knowledge repositories.

A well-designed forum allows customers to interact and share experiences about products and services. This approach can also greatly reduce the burden on your support team while allowing customers to access information independently 24/7.

Glossier, a beauty brand, maintains an active community space on Reddit where customers discuss products, share beauty tips, and troubleshoot common issues. Businesses can use platforms like Discourse or Reddit to build similar customer communities and maintain a strong online presence that is accessible 24/7.

Glossier’s subreddit
Glossier’s subreddit is full of exciting events and discussions

Social media monitoring

Social media can help you constantly monitor consumer needs and sentiments while expanding your round-the-cloud customer support capabilities. To stay visible on social media, regularly share valuable content, promptly reply to comments and inquiries, and engage in relevant social media conversations. 

This will also allow you to understand how customers perceive your brand while identifying issues early, even outside of business hours.  Addressing concerns before they escalate will foster a reputation for responsiveness among your customers.

II Makiage does it perfectly by replying to user comments smartly. When a prospective customer commented about being confused about foundation shades, it immediately responded with a quiz link to help the user find a suitable shade. 

Il Makiage comment reply
Il Makiage knows how to respond to a comment smartly

7 steps to implement round-the-clock customer support

Here are seven effective steps to help you implement round-the-clock customer support without stretching your team too thin:

1. Analyze your customer base 

If your customer base spans different time zones, round-the-clock customer support is essential to ensure prompt assistance regardless of location. Analyze customer support inquiries to identify peak hours and whether extended support is needed. 

Understanding customer preferences will also help you determine the most effective channels, such as self-service options or personalized phone support. 

2. Evaluate the cost and benefits

Consider the expenses of hiring a 24/7 support team, investing in necessary technology, and providing staff training. Weigh these costs against the potential gains, such as higher customer satisfaction, lower churn rates, and a stronger brand reputation. 

Begin with a limited approach and expand gradually. You don’t need to launch a complete 24/7 support system right away. To gauge the results, try extending support hours or providing live chat during high-traffic periods. As customer demand grows, you can adjust and expand your support accordingly.

3. Choose the right technology

Use technology to deliver efficient 24/7 customer support. Invest in a reliable customer service platform to manage and resolve issues faster. 

Deploy AI-powered chatbots to handle basic questions and simple tasks, allowing your team to focus on more complex problems. Build a detailed knowledge base so your customers can easily find answers independently.

4. Establish clear internal protocols

Create escalation protocols, define response time standards, implement clear communication channels between teams, and develop standardized workflows for dealing with different customer inquiries. 

This will ensure support issues are tracked, routed and resolved systematically, minimizing delays.

5. Set response times based on the query type and channel used

Customer inquiries have varying levels of urgency. Issues like payment failures, order cancellations, or delivery delays need immediate attention, while questions about product details or return policies can allow for more flexible response times. 

You can improve support efficiency by categorizing these queries and assigning them to the right communication channels with clear response time expectations.

For example, live chat can handle urgent concerns like tracking lost packages or fixing checkout errors. Respond to email inquiries for more detailed questions about bulk orders or product specifications. 

Direct customers to community forums for topics like styling tips or user reviews, which aren’t time-sensitive. This method ensures every customer receives prompt and appropriate support based on their needs.

6. Conduct regular staff training

Equip your team with deep product knowledge, good communication skills, and the ability to manage customers in diverse scenarios. The training should cover technical and customer service skills like communication, collaboration, and empathy. Ongoing professional development ensures support staff can provide efficient support at any time of the day.

7. Deploy automation and plan for scalability 

Finally, use AI and automation to speed up assistance and response times. Tools like AI agents and machine learning-driven support solutions can manage a large number of routine inquiries and provide 24/7 customer service.

Best practices for providing 24/ customer service

Industries like e-commerce have a higher expectation of round-the-clock customer support because customers often shop outside traditional business hours and expect immediate assistance for issues such as order tracking, product availability, or payment problems. 

Follow these best practices to ensure you do it right: 

  • Clearly communicate support hours: Make your availability easy to find on your website, social media pages, and order confirmation emails. If you serve customers across different time zones, consider listing multiple time slots
  • Set response time expectations: Let customers know when to expect a reply during business hours. For example, provide estimated response times for emails or typical wait times for live chat
  • Prioritize self-service: A well-structured FAQ page, knowledge base, and order-tracking tool can help customers resolve common issues on their own, reducing the need for direct support
  • Use automated responses after hours: Set up auto-replies for emails and AI-powered chat to acknowledge messages received outside business hours. Include helpful links to self-service resources so customers can find answers while they wait
  • Respond quickly when available: During business hours, ensure your team addresses inquiries promptly. Fast responses build trust and show customers that their concerns matter
  • Extend support during peak periods: If you receive more inquiries during sales events or holiday seasons, consider temporarily extending support hours to manage demand efficiently

Accelerate response times and offer 24/7 support with Plivo CX 

Incorporating 24/7 customer service doesn’t have to mean constant human availability. It’s more about the strategies and tools you use.

Plivo CX can be the perfect support to help you provide seamless customer service, ensuring your customers receive timely assistance even when your team isn’t available. It is an AI-powered, omnichannel customer support platform perfect for small—to mid-sized e-commerce businesses. 

The platform's open AI-powered chatbots can proactively handle customer inquiries 24/7 across multiple communication channels.

Key features include:

  • AI self-service chatbots: Offer quick, accurate answers to common inquiries while escalating complex issues with detailed summaries to human agents when necessary
  • In-app customer service: Seamlessly exchange media and document exchange for quicker issue resolution and direct live chats to the best-suited agents 
  • Omnichannel support: Manage customer interactions across email, SMS, WhatsApp, voice, and live chat from a unified platform, maintaining context and continuity across channels
  • Unified agent desktop: Provide agents with a comprehensive view of customer data, allowing them to resolve issues faster and more effectively
  • Detailed customer insights: Use AI to analyze conversations and identify opportunities for service improvements and business growth
  • Agent training tools: Enhance agent performance with call recordings, real-time feedback, and discreet coaching.

Book a demo with us today!

Feb 20, 2025
5 mins

AI in Customer Service: How Enterprises Can Improve Support and Efficiency

Discover how AI in customer service for enterprises provides faster support, reduces costs, and improves customer satisfaction. Learn with real-life use cases.

Customer Experience

Imagine a customer buying a product online but wanting to return it in-store. Another shopper visits a physical store and later reaches out to a chatbot for support. Today’s consumers expect a seamless blend of online and offline experiences.

Enterprises must adapt their customer service strategies to meet these expectations. With e-commerce expanding, customers demand flexibility—fast online support, easy in-store pickups, and smooth returns. AI plays a key role in making this possible by providing instant responses and personalizing customer interaction in every way.

This blog post will explore the role of AI in enterprise customer service, real-life use cases, how to implement it and future AI scenarios.

What is AI in customer service for enterprises? 

AI in customer service for enterprises is the use of AI technologies to enhance, automate, and optimize customer interactions at scale. It involves leveraging AI tools and systems such as chatbots, virtual assistants, and machine learning algorithms to provide instant responses, personalize assistance and improve the overall customer experience.

Enterprises use AI to handle large volumes of customer queries, automate customer service workflows, and even predict customer needs before they arise. 

Benefits of AI in customer service

According to a Salesforce report, 83% of customers expect to interact with someone immediately when they contact a company. Thank God for AI; it is possible now.

Here are some ways AI can be beneficial for enterprises:

Hyper-personalized interactions 

AI accesses your company’s data to understand your customers and create interactions that feel personal and more connected. When a customer interacts with a chatbot, AI populates important information such as the customer’s name, location, email address, and preferred language in real time. 

Accordingly, the chatbot or human agent can interact with the customer with contextual information and offer personal assistance as needed.

Round-the-clock availability

Since most enterprises operate globally, customer service cannot be limited to business hours. AI ensures customers receive instant 24/7 assistance regardless of location or time zone. This is possible because AI-powered chatbots and virtual assistants simulate human-like conversations without human agents' intervention. 

For instance, Microsoft’s AI-driven customer support helps users troubleshoot technical issues at any hour.

Better productivity and efficiency

Without AI in customer service, agents would be swinging back and forth between screens to view customer history, routing field workers to service locations, and manually typing responses. AI makes this process easy and efficient by giving agents intelligent recommendations, conversational insights, and customer data. 

In fact, AI-based conversational assistants can increase agents' productivity by 14% on average.

Greater scalability

Enterprises keep growing, and so do the demands on customer service operations. AI solutions are designed to scale up and down with fluctuating volumes, keeping consistency and quality reliable. 

For example, during peak seasons like Black Friday or product launches, enterprises such as Amazon and Walmart rely on AI-driven customer support to handle surges in demand without hiring additional staff.

Data-driven insights 

AI can analyze customer calls, emails, and chatbot conversations to determine when an issue is likely to escalate, the time it will take to resolve an issue and whether a customer will require any assistance in the future. 

For instance, if there is a delay in delivery, a chatbot can proactively apprise the customer and offer compensation, such as coupons, to minimize escalations.

Proactive service experience

As previously mentioned, AI can draw information from customers’ warranties, purchase history, and marketing data to determine the best next action. 

To give an example, AI can notify customers when it’s time to renew a subscription, remind them of an appointment, or offer a product upgrade or discount.

Uses of AI in customer service for enterprises

Top-performing enterprises are more likely to benefit from AI. A cloud and business AI survey by PWC revealed that forward-thinking companies are 2x more likely to realize value from AI, with 69% experiencing improved customer service.

Let’s understand how global enterprises are using AI in customer service to improve experiences:

Personal assistance with chatbots

AI-powered chatbots are super-charged assistants that can help you with everything. Whether you're looking for a sweatshirt in the color pink or returning a coffee mug, you ask, and they will deliver. They are also available round the clock, so you don’t have to worry about checking your schedule to chat with them.

One such wonder chatbot is H&M’s AI-powered Kik, which provides fashion recommendations to users. The chatbot uses NLP to understand user requests and offer personalized styling tips. It is available on the Kik messenger app, with 15 million monthly active users.

H&M’s Kik chatbot in action
H&M’s Kik is a free fashion stylist

Accurate prediction of customer needs

Enterprises use AI to examine social media interactions, browsing history and customer feedback to get a fuller picture of customers. AI can give insights into factors that influence human behavior, such as:

  • Emotions and psychology: Feelings and mood when interacting with a chatbot or agent
  • Social proof: Recommendations and reviews to influence buying behavior
  • Personal values: Ethical considerations that impact buying habits like sustainability

For example, IKEA uses predictive analytics to optimize customer experiences by knowing customer needs before they say it. They analyze the behaviors and preferences of customers to make manufacturing decisions and for range planning.

Ikea recommending similar products
Ikea knows what you need

Sentiment analysis with advanced analytics

Sentiment analysis pulls data from all interactions, such as phone calls, messages, support tickets, and product reviews, to analyze customer interactions and feedback in real time. 

This helps businesses identify negative or positive sentiment drivers and gain insights into customer sentiment. The key goal is understanding a customer’s feelings and emotions towards the brand.

Amazon leverages the power of sentiment analysis to analyze a wide array of customer reviews meticulously. For example, sentiment analysis can uncover patterns when customers consistently praise a specific feature, such as user-friendliness or durability. It then enhances products aligned with customer preferences and incorporates these features into its marketing efforts to establish deeper customer relationships.

Amazon’s sentiment analysis infographic
Amazon’s advanced sentiment analysis can tell how customers feel

Omnichannel support for easier interactions

The omnichannel approach is the gold standard for treating customers in today’s business world. It’s allowing customers to leave one channel and pick up conversations on another as if they never left. This way, customers have a unified experience across platforms and channels.

Crate & Barrel implements an omnichannel to provide a frictionless customer experience. Whenever a consumer logs into their account, the app saves their shopping data so they can access this across multiple devices. This allows customers to continue shopping from where they’ve left.

Crate & Barrel homepage
Crate & Barrel takes an omnichannel approach for a frictionless experience

Self-service options through knowledge bases

AI-powered self-service bases are a repository of information and tools that allow customers to find solutions independently without waiting for a service agent. They are a standard expectation in business and comprise diverse components such as detailed articles, multimedia content, and mechanisms for user feedback.

eBay has a very well-designed knowledge base that caters to its global customers. It features a search bar and a list of popular articles and categories that customers can browse for information. 

The platform does a great job of providing detailed articles on how to use the platform for new customers. At the end of every article, customers are asked to rate the usefulness of the article.

eBay knowledge base
eBay’s knowledge base has got it all

How to implement AI in customer service

Follow the steps below to implement and integrate AI in customer service for enterprises:

1. Assess business needs

Identify which areas of your support operations will benefit most from AI integration. Analyze your current processes, customer pain points, and support team challenges to set clear objectives for what you hope to achieve with AI. 

2. Define goals and objectives

Identify common customer queries, concerns, and requests to define goals and objectives. This could be any area of your customer support approach, such as reducing response times, improving first-contact resolution rates, or enhancing overall customer satisfaction.

3. Choose the right AI platform

After identifying your needs and objectives, research various AI tools and platforms that align with your business goals and requirements. Consider important features such as integration capabilities, scalability, and user reviews when assessing different options.

4. Integrate with existing solutions

Now, ensure your tools fit your current customer service setups. This may need API integrations, data syncing, or other technical configurations. Also, conduct pilot tests to identify and address any integration issues before deployment. This will help you resolve potential problems early in the process.

5. Train your agents

Provide ongoing training for your agents on how to use and navigate the AI tools effectively. The training should cover the technical aspects of using the systems and how to collaborate with AI to provide superior customer support. 

Offer frequent training, support and resources to assist your team in transitioning successfully, and ask for feedback on the new processes.

6. Ensure compliance and data privacy

To ensure secure handling and storing of customer data, maintain strict compliance with data protection and privacy regulations such as GDPR, HIPAA, and PCI DSS.

Frequently update privacy policies and practices to comply with changing regulations and be transparent about how customer data is stored and handled.

7. Monitor and optimize regularly

Regularly monitor the effectiveness of your AI-powered customer service system. Evaluate crucial metrics such as response time, CSAT score, and issue resolution rates. Utilize this data to strategize ongoing enhancements and refinements,

Future of AI in customer service 

According to a report by Grand View Research, the growth rate for AI is expected to surge by 36.6% annually between 2023 and 2030.

Let’s understand its role in future customer service operations:

Automation will be the driving force of operations

Enterprises are constantly pushing the boundaries of automation, which will happen more in the coming years. Customers won’t have to wait to interact with a human agent for simple queries. AI-powered automation will handle highly complex tasks with minimal human intervention and streamline internal processes and decision-making workflows.

AI will be an ally, not a competition

With the growing use of AI, people wonder whether it will take their jobs. The answer is simple—no. AI will not replace humans but will work alongside them to boost productivity and streamline processes so they can focus on complex conversations and decisions. 

AI can also help agents refine their tone and approach by offering real-time insights and relevant scripts to guide conversations.

Human care will still matter

Surely, AI can make many things better and work with perfection and accuracy. However, it cannot replicate the human emotions of care and empathy. Customers experience varying emotions when dealing with a customer service agent. AI can detect these emotions, while humans ensure customers feel heard, understood and respected.

Understand your customers better with Plivo CX 

Plivo CX is a cloud-based, AI-driven omnichannel customer service platform designed to help businesses deliver fast, efficient, and personalized customer support. It integrates with your existing tools and systems, ensuring smooth operations across multiple channels. 

Some of its key features include: 

  • OpenAI-powered chatbots: Provide instant, accurate responses and escalate issues when needed. Also, train the chatbot using your company’s custom datasets, allowing for precise and relevant responses to customer queries, always.
  • In-app customer service: Route live chat to the most appropriate agents. Send and receive media and documents effortlessly for faster resolutions

Plivo CX in-app self-service‍
Plivo CX’s in-app self makes interactions quick and seamless
  • Unified agent desktop: Manage customer interactions across email, voice, SMS, WhatsApp, and live chat in one place
  • CRM Integration:  Access customer data from your CRM for more personalized support
  • Real-time analytics: Track customer interactions and agent performance for continuous improvement
  • Visual workflow builder: Create custom workflows using a no-code drag-and-drop interface
  • Interactive voice response (IVR): Automate call routing for faster support
  • Agent Coaching Tools: Monitor agent performance with call recording, barge, and whisper features
  • Security and Compliance: Protect customer data with enterprise-grade security (SOC 2, GDPR, HIPAA, PCI DSS)

Book a demo to learn more.

Feb 20, 2025
5 mins

AI Agent Use Cases: Transforming Customer Support with Automation

Explore AI agent use cases to understand how AI transforms customer service by automating support processes and providing real-time assistance.

Customer Experience

The AI agents market is expected to grow from USD 5.1 billion in 2024 to USD 47.1 billion in 2030, with a remarkable CAGR of 44.8%. This growth will not only be seen in AI adoption but also in how they operate. 

For example, in 2023, an AI bot mainly supported call center representatives by synthesizing and summarizing large volumes of data to respond to customer queries. 

However, fast forward to 2025, and an AI agent can do much more. It can converse with a customer and plan actions like processing a payment, checking for fraud, and completing a shipping action.

This blog post will discuss the concept of an AI agent and the best AI agent use cases worldwide to highlight the impressive utilization of AI in customer service.

What is an AI agent? 

An AI agent is a system or program that can autonomously respond to situations and perform tasks based on the information it has. It takes inputs or information from its environment, processes it, and then acts upon it.

AI agents utilize technologies like ML, GenAI, LLM, and NLP to understand and respond to customer needs and streamline the customer experience.

What can AI agents do?

AI agents can perform various operations—from task-specific programs to sophisticated systems integrating perception, reasoning, and decision-making capabilities. 

Most agents follow a specific workflow when performing assigned tasks that include:

Data collection and analysis

The first step is to gather data from various sources, including transaction histories, customer interaction, and social media. It then analyzes the data to understand the context and nuances of customer queries. The agents process the data in real time to provide the most up-to-date information.

Decision-making

AI agents then use sophisticated learning models such as NLP, sentiment analysis, and classification algorithms to identify patterns in the collected data and make decisions. 

In this case, NLP processes and understands user input, sentiment analysis assesses tone and intent, and classification algorithms determine the most appropriate response.  

For example, when managing a support ticket, the AI agent can assess its content and urgency to decide whether to resolve it automatically or escalate it to a human agent.

Action execution

Once a decision is made, the AI agents implement the task through their output interfaces. This could include responding to customer queries, processing requests, updating databases, or sending commands to other systems. 

For example, they could send automated troubleshooting steps, route the ticket to a specialized department, or flag it for immediate human attention.

Adapt from interaction

AI agents continuously learn and adapt from each interaction, refining their algorithms to improve accuracy and effectiveness. This may include updating knowledge bases and using feedback to enhance future interactions. 

The continuous learning capability ensures that AI agents remain relevant to changing customer expectations and business environments.

AI agents' workflow
AI agents work in a defined workflow

Top AI agents use cases in customer service

“The playing field is poised to become a lot more competitive, and businesses that don’t deploy AI and data to help them innovate in everything they do will be at a disadvantage.”
—Paul Daugherty, chief technology and innovation officer, Accenture

Let’s understand how top companies worldwide are leveraging AI to offer outstanding customer service with these AI agent use cases:

Personalized recommendations by Amazon

Amazon‘s AI agents personalize your shopping by analyzing your activity and recommending products on the homepage, product pages, and emails.

Here are some ways it personalizes user experience :

  • Product recommendations: Based on user browsing and purchase history, Amazon suggests relevant products
  • Personalized descriptions: Product details are tailored to highlight features you care about
  • Size recommendations: To recommend the ideal fit, the agents examine brand sizing, customer feedback, and a shopper's purchase history
  • Fit review highlights: AI agents can extract key insights from customer reviews, helping you decide if an item runs small or large
  • More accurate size charts: Cleaning and standardization play a role in data accuracy for size charts. AI Agents handle these processes
  • Fit insights for brands: AI agents also help brands improve sizing and reduce returns
Amazon’s product recommendation
Amazon recommends what’s best for you

Starbucks’ voice shopping

Starbucks has partnered with Alexa, one of the most famous AI agents, to allow customers to order their coffee hands-free. Imagine talking to Alexa and placing your morning coffee order while you go to work. 

The process has become so convenient and popular that this mobile ordering program drives 20% of transactions during peak hours. 

Placing an order is pretty simple, too. All you have to do is say, “Alexa, tell Starbucks to place my usual order.” The AI agent will reply with the usual order, costs, and which branch it will be sent to. 

Once the customer confirms the order, it is immediately sent to the Starbucks branch to be prepared. The coffee is ready to be delivered by the time the customer arrives.

Amazon Alexa for Starbucks
Alexa is ready to take your Starbucks order

Airbnb’s multilingual customer support

With its AI agent, Airbnb caters to a diverse global user base in multiple countries. It utilizes conversational AI systems that use NLP and machine learning to handle customer inquiries across multiple languages.

The AI agents can: 

  • Automatically recognize and switch between languages
  • Provide 24/7 support for guests and hosts
  • Resolve common issues without human agent intervention
  • Automatically translate property listings
  • Supports over 60 languages
  • Communicate fluently in multiple languages
  • Automatically translate and relay messages
  • Handle inquiries from guests around the world

The AI agents help Airbnb overcome language barriers, improve guest satisfaction, and streamline customer support operations by offering efficient, immediate, and personalized multilingual assistance.

Airbnb app
Airbnb can welcome guests in multiple languages

H&M’s Chatbots 

One of the world’s leading fashion retailers, H&M, has implemented AI-powered chatbots to handle inquiries, streamline operations, and provide personalized assistance.

Some of the features of  H&M’s chatbots include:

  • Instant customer support: Provides quick answers about order tracking, return policies, and store locations
  • Personal shopping assistance: Recommends products based on browsing history and past purchases
  • Simplified returns & exchanges: Generates return labels and guides customers through the process
  • Multilingual support: Assists customers in multiple languages for a seamless experience
  • Proactive engagement: Sends reminders for promotions, restocked items, and abandoned carts
  • High-volume handling: Manages spikes in customer inquiries during sales and holiday seasons
&M’s chatbot
H&M’s chatbots can make your shopping easy and quick 

Alen’s digital shopping assistant

45% of surveyed millennials want a personalized experience when shopping online.   This can be achieved by deploying a shopping assistant as it can guide customers to the most relevant products.

An AI shopping agent can create a consultative experience and highlight product features and specs that matter to the shopper’s needs. This can accelerate the buyer’s journey from discovery to purchase.

Alen uses a digital assistant that guides users in finding the most appropriate air purifier for their indoor spaces. Users must input room dimensions, specific air quality concerns like allergies or odors, and future preferences. 

AI will then pull out the top-rated Alen models with particular details about coverage areas, filter types, and innovative features.

Alen’s website
Alen’s digital assistant can help you find the ideal product

Amazon’s visual search agent

With a 70% rise in visual searches globally, Amazon is focusing on making searches more intuitive and personalized. It has added several new features to enhance the mobile visual search experience with Rufus, an AI shopping agent that helps customers discover products effortlessly. 

Some of its key features include:

  • Descriptive image suggestions: As customers type a search term, Amazon suggests relevant images to streamline browsing
  • Amazon lens upgrades: Users can upload images and add text to refine searches (e.g., specifying color, brand, or material)
  • More like this: A quick tap on a product image shows similar items
  • Circle to search: Customers can draw a circle around an item in a photo to isolate and search for it
  • Integrated product videos: Shoppers can watch videos directly in search results, improving engagement
Amazon’s visual search
Amazon’s visual search can help you find products quicker

Sephora’s reservation assistant

Sephora has enhanced its chatbot services with Sephora reservation AI agent, allowing customers to book beauty appointments via Facebook Messenger. 

Developed in partnership with Assi.st, this AI-powered feature improves customer engagement, making beauty consultations more accessible and efficient. 

How it works:

  • Customers message the Sephora chatbot, providing their location in natural language (city, address, or landmark)
  • The chatbot finds the nearest Sephora store and displays available appointment times.
  • Users can confirm and book instantly, receiving a confirmation email within seconds

Why It Matters:

  • Conversational AI: The chatbot understands various ways customers describe their preferred date, time, or location
  • Convenience: Eliminates phone calls or manual booking processes
  • Instant confirmation: Ensures quick and hassle-free appointment scheduling
Sephora’s reservation assistant
Sephora’s reservation assistant can book your appointments in minutes

Paypal’s fraud detection

PayPal efficiently utilizes AI agents and machine learning to enhance fraud detection and optimize payment authorization rates.

This is how PayPal does it:

  • Real-time risk assessment: AI agents assign a risk score to every transaction, analyzing customer behavior in milliseconds to differentiate between legitimate and fraudulent transactions
  • Fraud pattern adaptation: Machine learning identifies evolving fraud techniques, such as card cracking and carding attacks, by analyzing vast datasets
  • Graph database technology: PayPal processes highly interconnected data from 430M+ accounts across 200+ markets to detect fraud efficiently
  • Optimized filters & rules: AI continuously refines fraud detection filters, countering scammers who attempt to bypass security measures
PayPal’s security measures
PayPal ensures every transaction is safe

Speed up resolutions with Plivo CX’s AI agents

Plivo CX is an AI-powered omnichannel customer service platform built to integrate effortlessly into your business and support mechanisms. 

It brings frequently-used communication channels, such as voice, SMS, WhatsApp, and live chat, under a single window. You can also train OpenAI-powered chatbots using your company’s unique datasets to ensure customer queries are answered with the most relevant and precise information.

Here are some of its top features:

  • AI self-service chatbots: Engage with customers across channels by delivering quick and precise responses
  • In-app customer service: Direct live chats to the best-suited agents while easily exchanging media and documents for faster issue resolution
  • Omnichannel support: Monitor, manage, and track customer interactions across multiple channels from a single platform
  • Unified agent desktop: Empower agents with comprehensive customer context and insights within one intuitive application
  • Round-the-clock availability: Ensure continuous global support without interruptions
  • Simplified escalations with notes: Quickly summarize interactions and seamlessly transfer them to human agents when necessary
  • Rich customer insights: Analyze live or recorded conversations to uncover opportunities for growth and improvement
  • Agent training tools: Enhance performance with features like call recording, discreet guidance, and real-time intervention
  • Automated ticket management: Organize and prioritize incoming tickets automatically so critical issues are addressed promptly
  • Interactive voice response (IVR): Set up automated menus to efficiently direct callers to the right team or agent
  • CRM integration: Leverage customer data from your existing CRM and technology stack to deliver a more personalized experience

Book a demo with us today!

Feb 19, 2025
5 mins

Your Guide to Friendly Payment Reminders via SMS in 2025 + Templates

Reduce late payments and improve cash flow with SMS payment reminders. Automate, personalize and optimize reminders to ensure timely payments with Plivo CX.

SMS Marketing

Struggling with overdue payments? You’re not alone. A report from the Federation of Small Businesses (FSB) shows that 37% of businesses face cash flow issues due to late payments, with 30% forced to use overdrafts and 20% seeing a direct impact on profits.

Late payments can strain your cash flow, increase stress, and damage customer relationships. That’s where SMS payment reminders shine.

With SMS’s high open rate, your payment reminders get the attention they need. Incorporating SMS into your strategy can reduce overdue payments and improve results. 

Let’s explore why SMS payment reminder works and how you can use it to get the results you need.

What are payment reminder messages?

Payment reminder messages are text messages sent to customers to remind them about an upcoming or overdue payment. E-commerce companies, subscription services, and businesses with recurring payments typically send these messages to ensure timely processing and reduce late fees.

They’re usually short, polite, and direct, providing all the necessary details like the amount due and the due date. This makes it easy for your customers to pay without any hassle.

Payment reminder messages are most effective when timed just right. The key is to strike a balance between being helpful and not overwhelming your customers. 

When to send SMS billing reminders

Timing is crucial when it comes to sending SMS billing reminders. You want to ensure you're giving your customers enough time to make the payment without overwhelming them. 

Here’s a simple way to decide the perfect time for sending your reminders:

After the due date

Send a polite reminder immediately after the payment due date to prompt customers to complete their transactions. Include all the necessary details, such as the amount due, invoice reference, and a payment link for easy processing.

One week after the initial payment reminder message

If the payment is still pending, send a follow-up payment reminder message one week later. Include a direct payment link to make the process easier.

Two weeks after the initial payment reminder message

If the payment remains unpaid after two weeks, send a firm but still professional final reminder emphasizing urgency. Mention any late fees, account suspension risks, or potential service interruptions to encourage prompt payment.

Image showing a firm payment reminder, stressing urgency.
A final reminder sent, urging prompt payment to avoid service disruptions.

To help ensure your SMS billing reminders are as effective as possible, it’s not just about when you send them but how you create them. 

The content and tone of your payment reminder messages will ultimately determine whether or not your customer takes action. 

5 tips to write effective SMS billing reminders

Creating the perfect SMS reminder is about being clear, timely, and easy to act on. Here are five quick tips to make your reminders more effective:

1. Personalize your payment reminders

Use the customer’s name or account details to make the message feel more personal. If possible, refer to past interactions or payment history. 

Personalized messages are not only more likely to be read, but 31% of consumers sign up for SMS to receive personalized messages, making them more likely to act.

Example: “Hi [Name], your $50 payment for [Service/Product] is overdue. Settle it today to avoid late fees: [link].”

2. Choose the right time

Timing plays a crucial role in getting a quick response. Send SMS reminders when customers are most likely to engage, such as mid-afternoon or early evening. 

Be mindful of regulations, like the Telephone Consumer Protection Act (TCPA) in the US, which restricts messages before 8 AM or after 9 PM in the recipient’s time zone.

The best window is typically between 10 AM and 8 PM, but testing different times will help you find what works best for your audience.

3. Provide key payment details

Be clear and specific about the payment details. Include the exact amount due, the due date, and any other relevant details (e.g., order number) to make it easy for the customer to act on the reminder.

Example: “Reminder: Your $75 invoice for [Product/Service] was due on [Date]. Pay now to avoid a $10 late fee: [link].”

4. Include a clear call-to-action

Always end your SMS billing reminder with a clear CTA. Whether it’s a payment link, instructions to resolve the issue, or a contact number for support, make it easy for the customer to take the next step.

Use direct and action-oriented language like “Pay Now,” “Settle Your Balance,” or “Avoid Late Fees.”

Example: "Your payment of [Amount] is due. To avoid late fees and service disruption, please pay now by clicking the link: [Payment Link].”

Image showing a clear call to action in an SMS reminder.
A payment reminder with a direct call to action, encouraging quick resolution.

5. Maintain a respectful tone

Avoid harsh language that might frustrate customers. Maintain a polite, professional tone in every reminder, even if the payment is overdue. Customers are more likely to respond to friendly reminders.

Example: “We understand things get busy. If you need help with your payment, reach out to us at [support info].”

The next step is creating clear, engaging messages that encourage prompt action. 

Top 7 ready-to-use SMS payment reminder templates

Below are seven professional SMS payment reminder templates for different scenarios. You can customize them based on your business needs.

1. SMS payment reminder template: Before the due date

📅 When to send: 3-5 days before the due date.

Purpose: A soft and friendly reminder to keep the customer informed and prevent late payments.

Some customers forget about their upcoming payments. Sending a courteous and professional reminder ensures they are aware before the due date arrives. This message is especially useful for businesses with recurring invoices, service fees, or product payments.

Hi [Customer Name], just a reminder that your payment of [Amount] is due on [Due Date]. Let us know if you need any help. Thanks for choosing [Company Name]!

2. SMS payment reminder template: Follow-up on due date

📅 When to send: On the due date.

Purpose: A professional and polite reminder to encourage payment before it becomes overdue.

This message is for customers needing a gentle nudge on the due date. Some people wait until the last moment to pay, so this reminder ensures they don’t miss the deadline.

Hello [Customer Name], your payment of [Amount] is due today. Please visit [Payment Link] to make your payment. Feel free to contact us for assistance.

3. SMS payment reminder template: Overdue payment reminder (3 days after due date)

📅 When to send: 1-5 days after the due date.

Purpose: A reminder for customers who may have forgotten or overlooked the due date.

At this stage, customers have already missed their due date, but they may not realize it. This message remains polite and professional while creating urgency. If your business has late fees, this is a good time to mention them.

Hi [Customer Name], we noticed your payment of [Amount] was due on [Due Date] but hasn’t been received. Please make the payment at your earliest convenience here: [Payment Link].

4. SMS payment reminder template: Final notice of overdue payment

📅 When to send: 7-14 days after the due date.

Purpose: A firm but professional warning before escalating the issue (e.g., additional fees, service suspension, collections).

If a customer has ignored previous reminders, it’s time to increase urgency. This message serves as the final warning before taking further action. Use a direct and serious tone while maintaining professionalism.

Dear [Name], we’ve made several attempts to contact you about your outstanding payment of $[Amount], which was due on [Due Date]. If we don’t receive your payment by [Last Due Date], we may have to suspend [Services] and take further action. Please make the payment promptly: [Payment Link].

5. SMS payment reminder template: Subscription renewal reminder

Customers often overlook subscription renewals. A timely reminder helps them renew on time, reducing churn.

📅 When to send: 5-7 days before subscription renewal.

Purpose: Notify customers about upcoming subscription renewals to avoid surprises.For subscription-based businesses, sending a reminder before automatic billing helps reduce disputes and chargebacks. This message reassures customers about their renewal date and provides an option to update payment details.

Hi [Customer Name], your subscription to [Service Name] is about to renew on [Date]. Please ensure your payment of [Amount] is processed before [Due Date]. [Payment Link]

6. SMS payment reminder template: Installment payment reminder

📅 When to send: A few days before an installment payment is due.

Purpose: Helps customers keep track of their scheduled payments.

For subscription-based businesses, missed renewals can lead to churn and lost revenue. Sending a timely reminder ensures customers stay informed and take action before their subscription expires, preventing service disruptions.

[Business Name]: Hello [Customer Name], this is a reminder that your next installment payment of [Amount] for [Loan/Product Name] is due on [Due Date]. Please ensure timely payment to keep your plan active. [Payment Link]

7. SMS payment acknowledgment template: Thank you message after payment

📅 When to send: Immediately after payment is received.

Purpose: A courteous message to acknowledge receipt of payment and build customer trust.

Sending a thank-you message after payment reassures customers that their transaction was successful. It also reinforces positive customer relationships and professionalism.

Thank you, [Name]! We’ve received your payment of $[Amount] for [Product/Service]. Your order/subscription is now confirmed. Need a receipt? Access it here: [Link].

Ensuring timely payments doesn’t have to be a manual, time-consuming task. The right tools can help automate reminders, personalize messages, and improve collection rates effortlessly.

Plivo CX, a leading omnichannel customer engagement platform, simplifies SMS billing reminders with automated scheduling, personalized messaging, and real-time tracking. With intelligent segmentation and AI-driven insights, you can reduce late payments and improve customer retention effortlessly.

Enhance ROI on payment reminder messages with Plivo CX

Keeping track of payments and chasing late payments can be frustrating, especially when manual follow-ups don’t give the expected results. Delays can disrupt cash flow and impact business operations. ‘

With Plivo CX, you can automate SMS payment reminders to reach customers instantly. From gentle pre-due reminders to urgent overdue notices, you can ensure timely payments while reducing manual follow-ups. Stay proactive, minimize delays, and keep your revenue stream steady.

Here’s why Plivo CX is the go-to platform for payment reminders:

  • Flexible customer segmentation: Group customers based on payment history or subscription status for relevant reminders.
  • Connect with customers at the right moments: With Journeys, marketers can send triggered messages based on customer actions to ensure relevant communication. Plus, a no-code interface allows marketers to build and manage these automated interactions without developer assistance easily.

  • Craft engaging alerts with Copywriter AI: Generate personalized SMS alerts with AI-powered suggestions and pre-designed templates. Copywriter AI instantly crafts message options, allowing you to review, refine, and send the perfect alert.
Image showing Copywriter AI generating personalized SMS alerts.
Create effective SMS alerts with Plivo CX’s Copywriter AI.
  • Seamless customer notifications: Automate payment reminders based on due dates, customer behavior, or custom triggers to ensure timely follow-ups.
  • Timely engagement: Schedule SMS reminders to send before, on, or after the due date at optimal times across time zones.
Image showing a dashboard for SMS reminders scheduled to send at optimal times.
Use Plivo CX’s to schedule SMS reminders.
  • E-commerce integrations: Integrates with e-commerce stores like Shopify, BigCommerce, WooCommerce, Magento, and other platforms to send reminders directly from your e-commerce system.

Businesses using Plivo CX for payment reminders see an average of $71 generated for every $1 spent, along with a 20% increase in on-time payments and subscription reminders.

With Plivo’s advanced carrier network spanning 220+ countries, Plivo CX also helps businesses cut SMS marketing costs by up to 70% while tripling their ROI.

Reduce payment delays, improve cash flow, and keep your customers engaged—all with automated SMS reminders powered by Plivo CX. 

Book a free demo today!

Feb 19, 2025
5 mins

What are SMS Alerts & How Can You Use them in Your Business?

Increase customer engagement and revenue with SMS alerts. Send timely updates on orders, restocks, and renewals. Start using Plivo CX today for better results!

SMS Marketing

Delivering timely updates to customers is crucial in e-commerce, yet many businesses struggle with low engagement on traditional channels like email and push notifications. Delayed communications can lead to abandoned carts, lost sales, and customer frustration.

This is where SMS alerts offer a competitive edge. Unlike other channels, SMS delivers instant, high-visibility messages—whether it’s an order update, a restock notification, or a personalized offer. 

With a high open rate and response times averaging just 90 seconds, SMS ensures that critical information reaches customers when it matters most.

By leveraging SMS alerts effectively, businesses can create amazing shopping experiences, drive higher conversions, and build stronger customer relationships. Let’s explore how.

The definition and value of SMS alerts

SMS alerts are instant text messages sent to users to notify them about important updates, reminders, or urgent information. They’re widely used by businesses, service providers, and organizations to keep customers informed in real-time.

Businesses use SMS alerts for a variety of reasons, such as:

✅ Order confirmations and shipping updates

✅ Appointment reminders

✅ Security alerts (like login verifications)

✅ Promotional offers and flash sales

✅ Emergency notifications

Why do SMS alerts matter for businesses?

Quiq.com reports that 58% of businesses find SMS more cost-effective than voice-only communication, while there is a 75% reduction in phone calls through SMS implementation. SMS alerts enhance customer experience, drive sales, reduce costs, and improve operational efficiency. Here’s how:

  • Instant & reliable – Deliver time-sensitive messages directly to customers.
  • Increased conversions – Timely promotions and reminders lead to more completed purchases.
  • Cost-effective & scalable – Automate outreach without spending heavily on ads.
  • Stronger customer relationships – Keep customers informed and engaged, building long-term loyalty.
  • Enhanced security – Used for OTPs, fraud alerts, and verification.

Effective customer communication is key, and SMS alerts provide a direct and reliable way to engage your audience.

Now, let’s compare SMS alerts with push notifications and understand how they each serve different purposes.

SMS alerts vs. push notifications – What’s the difference?

Both SMS alerts and push notifications keep users informed, but they work differently. Here’s how:

Feature SMS alerts Push notifications
Delivery method Sent via text messages, no internet required App-based notifications require internet connectivity and an app
Best for Urgent updates like appointment reminders, security alerts, or order confirmations Promotions, app updates, and engagement messages
Reach Available even without an internet connection Only visible with an active internet connection and app installed
Cost While priced per message, SMS is more cost-effective for urgent communications Generally free, but requires maintaining an app and internet access

Bottom line? SMS alerts are direct and reliable, while push notifications are app-dependent and best for marketing engagement. Let’s explore some real-world examples to understand how these alerts work.

Examples of SMS alerts

SMS alerts are used across various industries to provide real-time, important updates. Here are some common examples of SMS alerts:

1. Order notifications 

 Reduce WISMO (Where Is My Order) queries by keeping customers informed in real time.

Image showing an SMS alert with real-time order tracking information.
Keep customers informed in real-time

2. Abandoned cart notifications 

 Recover lost sales by reminding customers about their abandoned carts. A timely message can prompt them to return and complete their purchase, increasing conversion rates.

Image showing an SMS alert for a cart abandonment.
 SMS reminders for abandoned carts help recover lost sales and increase conversions

3. Delivery notifications 

Enhance customer satisfaction with real-time delivery updates. Keeping customers informed about their order's progress—whether it's shipped, out for delivery, or arrived—reduces anxiety and builds trust.

Image showing an SMS with delivery updates for a customer.
Improve customer satisfaction by providing real-time delivery updates

4. Flash sale alerts

Create a sense of urgency with flash sale alerts to drive immediate action. Time-sensitive offers encourage customers to act fast, boosting conversions and making the most of limited-time promotions.

Image showing an SMS alert for a time-sensitive flash sale offer.
Drive urgency and increase conversions with exclusive flash sale alerts

5. Restock alerts 

Re-engage customers by notifying them when popular or out-of-stock items are available again. Restock alerts help capture the interest of those who missed out previously, driving them back to your store to make a purchase.

Image showing an SMS notification for a back-in-stock item.
Image showing an SMS notification for a back-in-stock item

6. Payment reminders 

Minimize failed payments by sending timely reminders to customers about upcoming payments or expiring subscriptions. These alerts help ensure customers take action before payments are missed.

Image showing an SMS reminder for an upcoming payment due
Reduce failed payments by sending timely payment reminders

How do SMS alerts work?

SMS alerts are a simple way to communicate with customers. Here’s how they work:

Step 1: Customer opt-in: Customers opt in through a simple action, like texting a keyword or submitting their phone number online. This ensures compliance and respects customer preferences.

Step 2: Message creation: Businesses can now send personalized or automated SMS alerts based on triggers

Step 3: Message delivery: The SMS goes through an SMS gateway and reaches the customer’s phone directly.

To make sure your SMS alerts are compliant with the law, it’s essential to understand the regulations involved. Here's what you need to know.

  • Opt-in requirement: Customers must provide clear consent before receiving messages. This is usually done by confirming their phone number or texting a keyword (e.g., “JOIN”).
  • Unsubscribe option: Every SMS alert must include an opt-out option, allowing customers to easily stop receiving messages by texting “STOP.”
  • Privacy compliance: Businesses must ensure they handle customer data securely and comply with privacy laws like GDPR or TCPA.

By following these steps and regulations, businesses can use SMS alerts to communicate with customers while maintaining trust and legal compliance effectively. 

Benefits of using SMS alerts in e-commerce

SMS alerts drive engagement for e-commerce businesses, improving customer satisfaction and boosting sales. Let’s explore some of the key benefits:

Improved customer engagement

Instant updates keep customers informed, preventing frustration and the need to reach out for support. For example, sending real-time order tracking updates ensures customers are always in the loop and engaged.

Image showing an SMS with order purchase information
Keep customers engaged with instant updates

Increased conversions

By sending targeted cart abandonment reminders or exclusive offers at the right time, businesses can recover lost sales. This timely communication encourages customers to take immediate action, increasing the chances of completing the purchase.

In fact, cart abandonment messages via SMS have been shown to recover 30% of abandoned carts.

Image showing an SMS with an exclusive offer for a customer.
Increase conversions by sending timely, exclusive offers to customers.

Enhanced customer satisfaction

70% of consumers expect businesses to provide updates on orders, deliveries, and appointments via SMS. Personalized messages build trust and increase satisfaction.

Image showing a personalized SMS with delivery status updates for a customer.
Personalized delivery status updates help build trust and enhance customer satisfaction. A personalized message like this ensures a smooth experience, reducing customer anxiety and improving loyalty.

Reduced operational costs

By automating routine messages such as order confirmations, shipping updates, and payment reminders, businesses can save time and reduce the need for customer service involvement. 

With SMS messages costing as little as $0.015-$0.050 per message, businesses can achieve significant cost savings while maintaining effective communication.

Improved retention and loyalty

By consistently updating customers with timely information, businesses build trust and increase customer loyalty. Small gestures like "thank you" messages, delivery updates, or exclusive deals encourage repeat purchases.

Image showing a customer receiving an SMS with exclusive deals.
Foster loyalty by sending personalized SMS alerts to your customers

Now, let’s explore some practical examples of how SMS alerts are being used to make a real difference in the e-commerce world.

Use cases of SMS alerts in e-commerce

SMS alerts are incredibly versatile and can be used across various touchpoints in the customer journey. Here are some top use cases in e-commerce:

1. Promotional alerts

Delivering time-sensitive promotions directly to your customers’ phones ensures your message is seen and acted upon quickly. Whether it's a flash sale, seasonal discount, or exclusive offer, SMS makes sure your promotion reaches your audience in time.

Image showing an SMS notification for a flash sale with time-sensitive offers.
Deliver time-sensitive promotions directly to customers

2. Abandoned cart reminders

Cart abandonment is a major hurdle in e-commerce, but a simple text message notification helps recover lost sales. Gently nudging customers who’ve left items behind increases the likelihood of them completing their purchase.

Image showing an SMS reminder for abandoned cart items with a discount offer.
Recover lost sales with targeted SMS reminders.

3. Order updates

Keep customers informed at every stage of their order journey. Real-time shipping confirmations and delivery updates provide transparency and improve customer satisfaction.

Image showing an SMS notification with real-time shipping and delivery updates for an order.
Keep customers informed with timely order updates.

These updates enhance customer satisfaction by providing transparency and reducing customer support inquiries.

4. Customer support

Text message notifications provide instant communication to address concerns, from resolving order issues to answering questions or handling complaints. This real-time communication helps build trust and ensures a quicker resolution to customer concerns.

 Image showing an SMS notification about a customer support ticket update.
Provide instant support through SMS, addressing customer concerns quickly.

5. Subscription reminders

Use SMS to remind customers about subscription renewals or expiring memberships, ensuring they don’t miss out on continuing their service.

Image showing an SMS reminder for an expiring subscription with a renewal link.
Send timely SMS reminders for subscription renewals to reduce churn and keep customers engaged with your service.

These timely reminders help increase subscription renewal rates and reduce churn.

Plivo CX, an omnichannel customer engagement platform, makes it easy to send personalized SMS alerts, track performance, and keep your audience connected every step of the way. 

With intelligent segmentation and AI-powered messaging, businesses can optimize customer communication effortlessly.

Simplify customer engagement with SMS alerts powered by Plivo CX 

Many businesses struggle with sending restock updates, subscription renewal reminders, and replenishment alerts, especially for frequently ordered items like supplements and personal care products. These delays can lead to missed opportunities and decreased customer satisfaction.

With Plivo CX, it’s easy to keep customers in the loop. Whether it’s updating them on product availability, reminding them about upcoming renewals, or letting them know when it’s time to restock, you can keep them satisfied with minimal effort.

Image showing customer interaction on Plivo AI.
A customer interacting with the Plivo AI chatbot.

Here’s why you should choose Plivo CX for SMS alerts:

  • Seamless customer notifications: Automate alerts for restocks, renewals, and replenishments. Use manual/automated segmentation and behavioral triggers to send timely, relevant updates.
  • Flexible customer segmentation: Use manual segmentation to group audience based on purchase behavior and product interest, ensuring your messages are highly relevant and drive engagement.
  • Timely engagement: Send instant, delayed, or event-based alerts. Schedule messages at optimal times across time zones.
Image showing a dashboard for customer segmentation.
Use Plivo CX’s segmentation tools to group customers for targeted messaging.
  • Flexible campaign setup: Set up customized, event-driven SMS campaigns with pre-built templates and AI-powered message personalization.
  • Craft engaging alerts: Use AI-driven suggestions and pre-designed templates to create personalized messages. Create using Copywriter AI and deliver them instantly to reach customers on time.
Image showing AI-driven message options.
Create personalized alerts with AI suggestions.
  • E-commerce integration: Plivo CX seamlessly integrates with e-commerce stores like Shopify, BigCommerce, WooCommerce, Magento, and more, allowing businesses to send alerts directly from their e-commerce platforms.

Businesses leveraging SMS marketing with Plivo CX see an average of $71 generated for every $1 spent, along with 20% conversion rates from both back-in-stock alerts and subscription reminders.

Powered by Plivo’s premium carrier network with coverage in 220+ countries, Plivo CX also helps businesses cut SMS marketing costs by up to 70% while tripling ROI. 

Book a free demo and see how Plivo CX can help you deliver timely, automated alerts that drive customer engagement and sales!

Feb 19, 2025
5 mins

How to send a delay message regarding shipping to e-commerce customers

Learn how to craft clear, empathetic shipping delay messages to maintain customer trust and satisfaction. Use SMS and automation for timely updates.

e-commerce Marketing

The moment a customer clicks “Place Order,” they expect the delivery countdown to begin. Even the slightest hiccup in the delivery can send everything into chaos.

With the global logistics market valued at over 8.4 trillion euros in 2021 and expected to exceed 13.7 trillion euros by 2027, speed and reliability are fundamental. 

But even when things go wrong, a well-crafted shipping delay message can make a difference.

Shipping delay messages are a reliable technique to manage customer expectations when orders don’t arrive on time. They help reduce customer uncertainty, minimize complaints, and turn a potentially negative experience into a positive one.

In this article, we’ll explore the best strategies for SMS delay messages, delay message templates, and show how automation can simplify the process.

Why delay messages are important for e-commerce businesses

Poor communication around shipping delays can cost businesses both money and customer loyalty. In fact, 80% of customers say the experience a company provides is just as important as its products and services. 

So, customers often become annoyed and escalate the issue when they don’t receive timely updates on their orders.

To tackle this, a well-crafted delay message can mean the difference between an unhappy customer and a loyal one. Proactive delay messaging reduces refund claims and customer service inquiries, ultimately saving time and resources. 

This is why a simple, well-timed update reassures customers, sets expectations, and preserves brand credibility.

The importance of clear messaging for delivery delays

Higher customer retention

Customers are 64% more likely to buy from brands they’ve shopped with before. So, keeping them informed with clear delivery updates isn’t just crucial, it's essential for turning first-time buyers into repeat customers and keeping loyalty locked in.

Stronger brand perception

68% of customers say a negative experience will reduce their loyalty to a brand. Delivery delays can frustrate customers. But businesses that communicate clearly during delays show they’re reliable and customer-focused, keeping loyalty strong and complaints low.

In short, a thoughtful delay message isn’t just damage control, it’s an opportunity to build trust and long-term customer loyalty.

Best 5 shipping delay message templates for SMS & email

No one likes to deliver bad news, but a well-crafted delay message can make all the difference. Use these ready-to-use SMS and email templates to keep customers informed:

1. Delay message template: General delay message notification

When to send: As soon as a delay is identified.

Purpose: Inform the customer about a delay and provide an estimated resolution.

Customers appreciate immediate updates when a delay occurs. This message should be clear, and concise, and provide an expected timeline to ease concerns.

SMS template:

"Hi [Customer name], we wanted to update you on your order #[Order number]. Due to [reason], your order is delayed. We expect it to arrive by [new date]. We apologize for the inconvenience and appreciate your patience."

Email template:

Subject: Update on Your Order #[Order number]
Dear [Customer name],
We wanted to update you about your recent order #[Order Number]. Unfortunately, due to [reason], we are experiencing a delay in shipping your order. We now expect your order to arrive by [new date].
We sincerely apologize for any inconvenience this may cause and appreciate your patience. If you have any questions, please feel free to contact our support team.
Best,
[Your company name]

2. Delay message template: Apology & updated timeline

When to send: If the delay extends beyond the initial estimate 

Purpose: Apologize for the inconvenience and offer an updated delivery date.

When an initial delay stretches further, customers expect an update. Apologizing sincerely while giving a clear timeline can help maintain trust.

SMS template:

"Dear [Customer name], we sincerely apologize for the delay in delivering your order #[Order number]. Due to [reason], the new expected delivery date is [date]. We truly appreciate your patience and understanding. Please reach out if you have any questions."

Email template:

Subject: An Update on Your Order #[Order number]
Dear [Customer name],
We’re reaching out to apologize for the delay in shipping your order #[Order number]. Unfortunately, due to [reason], it will take a bit longer than expected. Your new estimated delivery date is [date].
We understand delays can be frustrating, and we truly appreciate your patience. If you have any questions, don’t hesitate to reach out.
Thank you for your understanding.
Best,
[Your company name]

3. Delay message template: Last-minute delay update

When to send: If an unexpected issue arises close to the expected delivery date

Purpose: Notify the customer about an urgent delay and reassure them of the next steps.

Customers count on delivery dates being spot on. If things go sideways at the last minute, a quick heads-up can make all the difference.

SMS template:

"We’re sorry, [Customer name], but due to [reason], your order #[Order number] is experiencing a last-minute delay. We are working to get it to you as soon as possible and will update you shortly. Thank you for your patience!"

Email template:

Subject: Urgent Update on Your Order #[Order number]
Dear [Customer name],
We regret to inform you that your order #[Order number], which was scheduled to arrive on [original date], is facing an unexpected last-minute delay due to [reason]. We understand this is disappointing, and we sincerely apologize for the inconvenience.
Our team is working hard to resolve this issue, and we will provide an updated delivery timeline as soon as possible. We appreciate your patience and will keep you informed every step of the way.
If you have any questions or need further assistance, please don’t hesitate to reach out.
Thank you for your understanding.
Best,
[Your company name]

4. Delay message template: Compensation offer

When to send: If the delay is significant and impacts customer experience 

Purpose: Offer compensation (discount, free shipping, or store credit) to maintain goodwill.

When a delay causes major inconvenience, a small discount or free shipping can turn things around. It’s a way to say, “Thanks for your patience—we appreciate you.”

SMS template:

"Hi [Customer name], we regret the delay with your order #[Order number]. As a token of appreciation for your patience, we’d like to offer you [discount or free shipping] on your next order. Use code [CODE] at checkout. Thank you for choosing us!"

Email template:

Subject: Thank You for Your Patience – Here’s a Special Offer
Dear [Customer name],
We appreciate your patience regarding your delayed order #[Order number]. We understand how important timely deliveries are, and we’re truly sorry for the inconvenience.
As a token of appreciation, we’d like to offer you [discount or free shipping] on your next order. Use code [CODE] at checkout.
Thank you for choosing us, and we appreciate your understanding!
Best,
[Your company name]

5. Delay message template: Holiday season delay

When to send: During busy holiday seasons when shipping delays are common.

Purpose: Manage expectations and apologize for potential delays due to increased seasonal demand.

Increased demand during holidays often leads to delays. Proactive communication assures customers that their order is still a priority.

SMS template:

"Hi [Customer name], due to high holiday demand, your order #[Order number] may experience a slight delay. We expect it to arrive by [new date]. Thanks for your understanding and patience during this busy season!"

Email template:

Subject: Holiday Season Shipping Update for Your Order #[Order number]
Dear [Customer name],
We wanted to give you a heads-up that, due to the increased volume of orders during the holiday season, your order #[Order number] may experience a slight delay. We expect it to arrive by [new date].
We appreciate your patience and understanding during this busy time. If you have any questions, feel free to reach out to our support team.
Best,
[Your company name]
By utilizing these SMS and email templates, e-commerce brands can keep customers informed, mitigate frustration, and maintain positive relationships despite unexpected shipping delays.

Best practices for communicating a shipping delay

Timely communication is essential when informing customers about a shipping delay. Below are the best practices for effectively communicating a shipping delay:

1. Notify customers as soon as possible

70% of e-commerce shoppers say their orders were shipped late with no explanation, which can really hurt your brand. By sending a timely and thoughtful delay message ASAP, you can keep your customers informed. This even strengthens their loyalty, despite the hiccup.

2. Use multiple communication channels

Make sure your customers never miss an update by reaching them through multiple channels:

  • Email notifications
  • SMS alerts
  • Customer service chat or call support

With 90% of customers expecting immediate updates when their order status changes, using multiple touchpoints ensures they stay informed and reassured.

3. Provide clear and honest information

41% of consumers want their orders within 24 hours, which means any delay can lead to frustration. So, when delays happen, clear and honest communication is important.

 Be upfront about the reason for the delay, how long it may last, and any potential resolutions. Avoid vague language and ensure that your message is factual and precise.

Example: "We regret to inform you that your order (#12345) has been delayed due to unexpected supply chain disruptions. We are actively working to resolve this issue and anticipate shipping your order by [new estimated delivery date]."

4. Offer an estimated delivery timeline

Even if the exact delay duration is uncertain, provide the most accurate estimated delivery timeframe based on the available information and keep customers informed of any changes. 

Example: "Due to high order volumes, your shipment may experience a delay. We estimate that your package will arrive within 5-7 business days. We will keep you informed of any further updates and appreciate your patience."

5. Apologize and show empathy

A heartfelt apology goes a long way in maintaining goodwill. This assures you are doing everything you can to get the order to them as soon as possible.

Example: "We understand how important it is to receive your order on time, and we sincerely apologize for the delay. We appreciate your patience and are doing everything we can to expedite your shipment."

The role of automation in shipping delay messages

For e-commerce companies handling thousands of orders daily, automation is essential for sending shipping delay notifications at scale. Considering that 76% of Americans say a bad customer experience is worse than a delayed shipment, keeping customers informed should be a top priority.

By now, you know customers expect timely and personalized updates, and manual communication simply cannot keep up with demand. 

  • Automation ensures that every customer receives real-time updates via SMS, email, or app notifications, reducing uncertainty and frustration. 
  • AI-driven automation can also personalize messages based on order details, past interactions, and estimated delivery timelines. This enhances the customer experience and also reduces inbound customer service inquiries, freeing up resources. 

But having the right platform for automation can make all the difference. 

Plivo CX, an omnichannel customer engagement tool, enables e-commerce businesses to send real-time shipping delay notifications at scale. 

With its user-friendly interface and powerful analytics, Plivo CX ensures customers stay informed without overloading your support team and improves the overall customer experience.

Send shipping delay messages at scale with Plivo CX

Managing shipping delays manually can be overwhelming, leading to frustrated customers and increased support inquiries. Keeping customers informed at the right time is essential to maintaining trust and reducing complaints.

With Plivo CX, you can automate shipping delay notifications across SMS, ensuring customers receive real-time updates without the hassle of manual follow-ups. From proactive delay alerts to last-minute updates, Plivo CX helps businesses simplify communication with customers and improves customer satisfaction.

Here’s how Plivo CX helps e-commerce businesses stay ahead:

  • Automated notifications: Keep your customers informed with automated SMS alerts about shipping delays, providing real-time updates based on their orders.
  • Customer segmentation: Group customers based on order status, delivery region, or urgency level to send targeted and relevant updates.
  • Customizable templates: Use pre-designed templates to craft clear delay notifications. Ensure timely delivery via SMS for a good customer experience.
  • Copywriter AI: Instantly generate clear, empathetic, and engaging delay notifications using Copywriter AI.
Image depicting Copywriter AI generating customized SMS notifications.
Create simple SMS delay messages with Plivo CX’s Copywriter AI
  • E-commerce integrations: Plivo CX integrates with popular e-commerce platforms like Shopify, BigCommerce, WooCommerce, and Magento, sending notifications directly from your system.
  • Optimized delivery timing: Schedule delay messages at the right moment, ensuring customers receive updates when they need them most—whether it's a pre-delay heads-up or an urgent last-minute notice.
Image showing a dashboard for SMS reminders scheduled to send at optimal times.
Use Plivo CX’s to schedule SMS reminders.

With Plivo’s advanced carrier network spanning 220+ countries, Plivo CX ensures your shipping delay messages reach customers reliably and cost-effectively. 

Businesses using Plivo CX for automated shipping delay notifications have seen significant cost savings, reducing communication expenses by up to 70% while enhancing customer experience at scale. 

Additionally, businesses using Plivo CX generate $71 for every $1 spent, along with a 20% increase in on-time deliveries and improved subscription fulfillment.

Simplify your shipping delay notifications, protect your brand reputation, and save valuable time with automated messaging with Plivo CX. 

Book a free demo today!

Feb 19, 2025
5 mins

Boost Sales With SMS Reminders: A Guide for eCommerce

Discover the top benefits of sending SMS reminders and how to send different types of reminders for maximum impact.

e-commerce Marketing
SMS Marketing

You can make countless changes on product pages to optimize your conversion rate. Yet often, all it needs is a simple nudge—a quick reminder text to customers that the product they left in the cart is about to go out of stock or the sale they were waiting for is now live.  

Importance of nudge marketing | Source: LinkedIn

Oksana Tsvigun, an eCommerce expert, says, "When executed effectively, nudge marketing can significantly influence purchase behavior across various channels."

In this post, we will explore the type of SMS reminders eCommerce businesses can send and how they can send. 

Types of SMS reminders eCommerce businesses can send

Here are some of the must-have SMS reminders for your online store:

1. Abandoned cart SMS reminder

Abandoned cart reminders are a no-nonsense strategy for winning back sales from customers who left their shopping cart in the middle for some reason. 

Sending quick abandoned cart reminder texts is effective as they are direct and encourage immediate action. Studies show a well-crafted text can recover up to 58% of these carts, potentially bringing back nearly two out of three lost sales. This means many customers who abandon their carts may return after a text reminder.

Further, high open rates of SMS pose another promising metric.

Sample abandoned cart SMS reminder:

Hi [Customer Name], [Product name] is waiting in your cart. Complete the purchase now and get free shipping! [Link to Cart]

2. Payment SMS reminder

Around 11% of online transactions among eCommerce sites failed in 2023. This failure can significantly impact revenue as customers usually step away from the site after a failure, thinking to try later, and may ultimately forget about the item itself. 

A quick reminder text nudges them to complete the purchase in such cases.

Sample payment SMS reminder:

Hi [Customer Name], There was a technical glitch when completing your order payment. Please retry payment now : [Link to payment page].

3. Product restock SMS reminder

Product restock reminders are another great way to increase sales by sending messages to customers who previously expressed interest in an out-of-stock product. It's a proven tactic to regain lost sales due to supply chain issues. 

Sample product restock SMS reminder:

Hi [Customer Name], The [Product Name] you were waiting for is back in stock. Order now: [Link to Product Page]

4. Order confirmation SMS reminder

Order confirmation reminders help improve customer experience and gain their trust. It ensures customers get an instant confirmation message with a hint of shipping and further tracking details. 

Customers are never left wondering whether the payment they just made resulted in a successful order or not. 

Sample order confirmation SMS reminder:

Hi [Customer name], Thank you for purchasing from [Site name], Your order [Order number] is confirmed. We will send a tracking link as soon as the order is shipped.

5. Shipping/Delivery SMS reminder

83% of shoppers look for text updates about their order shipping status. Timely shipping updates are crucial for maintaining customer satisfaction. 

A short text message with a tracking link and delivery details goes a long way to win customer trust in the current cluttered market. 

Sample shipping/delivery SMS reminder:

Hey [Customer name]: Wohooo! Your order [Order Id] is on the way and expected to arrive by [Tentative delivery date]. Track it here: [Shipping tracking link]

6. Feedback/Review SMS reminder

77% of shoppers specifically seek out websites with ratings and reviews. Having reviews on the website brings more credibility to your store. 

Therefore, feedback/review requests are messages customers get after they have received the product. The message contains a link to drop a review on the product/delivery experience. 

Sample feedback/review SMS reminder:

Hi [Customer], We hope you are loving your recent purchase. Tap this link [Review link] to drop a review and collect loyalty points

7. Event/Sale SMS reminder

Event/sale SMS reminders are text messages sent to customers to notify them about upcoming events, flash sales, holiday promotions, or special offers. 

These reminders are pivotal in increasing the engagement of these promotions and generating more sales. 

Sample event/sale SMS reminder:

[Holiday name] Offers Alert! Exciting sales start at [Promotion start date]. Get up to 50% off your favorite products. Start wishlisting now. 

8. VIP/Exclusive offer SMS reminder

VIP/Exclusive offers are usually for customers who are part of loyalty programs. These are text messages containing special discounts or early access to some products. 

Sample VIP/Exclusive offer SMS reminder:

Hey [Customer name], [Brand name] Summer collection is going to be live soon. As a [Loyalty program ] member, you can access it early here [Collection link]. Get your hands on it before it goes live.

9. Subscription renewal SMS reminder

Some eCommerce brands also offer subscriptions in return for exclusive perks. 

One typical example is the famous Amazon Prime program, which provides customers with free shipping. If you offer such subscriptions, you can send text message reminders to customers for renewals. 

 Sample Subscription renewal SMS reminder:

Hey [Customer name], Your [Subscription program] subscription is about to expire. Renew it now to keep enjoying the perks-> [Payment link]

How to send reminder SMS to eCommerce consumers

For brands seeking to maximize customer engagement, follow this six-step process to create a robust SMS reminder system:

1. Choose an SMS marketing software

The first step is to choose an SMS marketing software that will enable you to send reminders.

Key features to look for in an SMS marketing platform are:

  • Supporting segmenting users based on demographics, user activity, and order history
  • Allowing to send automated messages based on user actions
  • Allowing to send ad-hoc messages when required
  • Providing inbuilt reports to draw campaign insights.

2. Integrate SMS marketing software with your eCommerce platform

When you have identified the SMS marketing software, you can integrate it with your Shopify store/eCommerce platform. After integration, the marketing software gets the base customer data to begin sending any reminders. 

Further, marketing software also offers customizable sign-up forms to make it easy for customers to subscribe to reminders.

3. Segment your audience

To send effective reminders, you have to segment your SMS list based on user activity, purchase history, location, and more. 

When you have well-defined segments, you can send relevant reminders to specific segments.

4. Set up automated SMS triggers

There are two types of reminders. First, there are automated reminders, where you set up a user action to trigger an automated reminder, such as cart abandonment. 

In this case, an SMS marketing software tool allows you to set up triggers and automated messages for those triggers.

5. Setup ad-hoc campaigns

The second type of reminder is ad-hoc, which is sent on a need basis. 

For instance, reminders for events/flash sales/exclusive offers are ad-hoc whenever these campaigns are planned. For these campaigns, you can send scheduled ad-hoc messages targeting a specific segment of users in the marketing software.

6. Test and optimize

Lastly, don't forget to track key KPIs of reminders, such as open rate, click rate, converted rate, and revenue. This information will help you identify what's working and what's not for sending more effective reminders. 

Benefits of sending SMS reminders for eCommerce businesses

Now, let us discover the powerful impact of SMS messaging on your brand's bottom line. Here are the key advantages outlined below:

1. Reduce cart abandonment

Sending cart abandonment reminders is a simple tactic to regain lost sales. For instance, Southwestern outfitters Boot Barn observed a 12% lift in captured revenue through such campaigns. 

2. Faster resolution of payment issues

Automated payment reminders can bring back the customers who left the cart due to payment issues. 

For instance, businesses using automated reminders achieved up to a 50% increase in payment rates compared to those who did not utilize such reminders.

3. Boost sales and revenue

Most types of reminders (abandoned cart, product restock, offers, etc.) are a simple way to gain sales. Every conversion increases the overall revenue of the business. 

4. Improve customer experience

Regular reminders on orders and shipping status improve the customer experience. Customers who receive SMS delivery notifications report a 97% satisfaction rate, as it keeps them informed in real time.

Customers do not have to wonder where their product is or have to go back to the app/website again and again to check the status. They can stay assured that the brand will keep them posted. 

5. Enhance retention and loyalty

SMS reminders help in running effective loyalty programs. To build long-term brand loyalists, you can send text messages to keep customers posted on updates (increase in points, exclusive offers, etc). 

Plus, note that 75% of customers like receiving personalized SMS offers from brands they’ve purchased from before.

6. Encourage reviews and feedback

Sending reminder texts gives quick nudges to customers to drop feedback. People are more likely to leave reviews immediately after a positive experience, especially if incentivized. The nudge provides that little push or perk required. 

Automate SMS reminders and alerts with Plivo CX

Plivo CX is a cloud-based, omnichannel marketing automation platform that can help you send timely alerts/SMS reminders

We offer no-code Journeys, where you can drag and drop to set automated SMS. Set up the trigger, define the SMS, and let the system run on autopilot.

Plivo CX Journeys feature for setting automated reminders

Apart from the convenient journey creation, Plivo CX also supports:

✅Getting customers to opt-in

Segmenting subscribers for personalized reminder texts

✅Creating SMS reminder content for campaigns using in-built templates and AI copywriter

Scheduling ad-hoc SMS reminders with AI assistance

Launching campaigns with ease

✅Building reports to track open rates, click rates, and conversion rates of SMS reminders

Further, we do not rely on external carriers; instead, we use our own premium carrier network. This enables you to send high-volume SMS reminders to over 220 countries/territories with higher deliverability for as little as $0.0054

You can also cut down your SMS marketing campaign costs by 70%!

Want to automate SMS reminders? 

Sign up today to explore the powerful features of Plivo CX.

Feb 13, 2025
5 mins

What is an SMS API? Everything You Need to Know

Learn what an SMS API is, how it works, and why businesses use it. Discover key features, benefits, & use cases in this complete guide.

SMS API

Every day, millions of text messages flash across screens worldwide — appointment confirmations, security codes, and delivery alerts. But how do businesses deliver these messages at scale, instantly, and to any corner of the globe?

The answer lies in an SMS Application Programming Interface (API).

It lets businesses automate and integrate text messaging directly into their apps, websites, or CRM systems; no manual effort or custom-built infrastructure required. 

Need to send 10,000 shipping notifications in seconds? Done. Want to track responses or handle incoming texts automatically? The SMS API handles it all.

In this blog post, we’ll explore how SMS APIs work, why they’re revolutionizing customer communication, and how even non-technical teams can use them to save time, reduce costs, and keep customers engaged. Let’s get started.

SMS API 101

An SMS API is a powerful tool that allows businesses to send and receive SMS messages programmatically. This technology helps businesses add SMS features to their applications, improving customer communication.

What is an SMS API?

An SMS API is a software interface that enables sending and receiving text messages via an SMS gateway.

It connects traditional telecom networks with the internet, allowing developers to use web-based code to communicate directly with carrier networks. This integration makes it simple to incorporate SMS functionality into applications.

With an SMS API, developers can use standard coding methods to handle texts effortlessly. This keeps your business running 24/7, delivering alerts, updates, or info to customers at any time.

How does SMS API work?

An SMS API connects your business software (like apps or websites) to mobile phone networks. It acts like a translator and a messenger.

To use these APIs effectively, it's important to understand how they work and the basic concepts behind SMS. Let’s break it down step by step.

  • Your software sends a message request: When your app or website needs to send a text (e.g., a shipping update or login code), it tells the SMS API: “Send this message to this phone number.”
  • The API prepares the message: The SMS API takes your request and converts it into a format that mobile networks understand. It handles technical details like country codes, carrier rules, and message formatting.
  • The message travels to the recipient: It sends the message to mobile networks, which deliver it to the recipient’s phone. If the person replies, the API sends that reply back to your software.
  • Automation and scale: The API handles all the technical steps like checking for errors, confirming deliveries, and retrying failed messages. This lets you send thousands of texts at once without manual effort.

Basic SMS concepts

SMS is a foundational tool for modern communication, but using it effectively requires understanding a few key concepts:

Sender ID

This is the name or number that recipients see when they receive your message. It could be a short code (e.g., “12345”), a long code (a standard phone number), or an alphanumeric ID (e.g., “YourBiz”).

A recognizable sender ID builds trust and ensures recipients know the message is from you.

Latency

Latency refers to the delay between sending a message and its delivery. Lower latency means faster delivery.

For example, providers like Plivo optimize this by maintaining points of presence (PoPs) at major internet exchange hubs across various global regions. These PoPs ensure messages travel through Plivo’s high-speed network within each region, minimizing delays even for cross-region traffic.

This setup keeps round-trip times low, so messages arrive almost instantly.

Messaging throughput

This is the number of messages a system can handle per second. High throughput is critical for businesses sending bulk SMS (e.g., marketing campaigns or alerts).

Reliable providers ensure their infrastructure scales seamlessly to handle spikes in demand without delays.

Delivery status

SMS APIs provide real-time updates on the delivery status of a message, indicating whether it was delivered, failed, or is pending.

For example, you might see “delivered” (success), “undelivered” (carrier issue), or “expired” (message timed out). This helps businesses confirm critical notifications (like transaction alerts) have reached customers.

Message encoding and character limits

SMS messages have specific rules for formatting and length to ensure they work across all devices and networks:

  • Standard SMS: Uses Global System for Mobile Communications (GSM-7) encoding, which supports basic text (like letters, numbers, and common symbols). These messages can be up to 160 characters long.
  • Unicode SMS: Supports emojis, special characters (e.g., accents, Chinese, or Arabic script), or fonts outside the GSM-7 standard. These messages are shorter and limited to 70 characters.

If a message exceeds these limits, it gets split into multiple parts (e.g., a 162-character text becomes two messages).

While most phones stitch them back together, this can increase costs.

Plivo offers an intelligent message encoding feature that automatically detects subtle Unicode characters that are often overlooked. This feature replaces these with similar GSM-encoded characters, ensuring your message is limited to 160 characters.

This eliminates the need to send multiple messages, making your communication more efficient.

Benefits of SMS API

Using an SMS API offers numerous advantages for businesses looking to enhance their communication strategies. Here are some key benefits:

Capture immediate attention

SMS APIs ensure your messages reach customers instantly, making them one of the most effective communication channels.

A survey shows that 80.5% of consumers check their text notifications within five minutes, meaning your alerts, promotions, and reminders are seen almost immediately. This rapid visibility increases engagement, response rates, and customer interactions.

Unlike emails or push notifications that may go unnoticed, SMS messages create a direct and personal connection with recipients, prompting quicker action.

Automated messaging solutions

SMS APIs let businesses automate routine messages like appointment reminders, payment alerts, and order updates. But the biggest benefit isn’t saving time, it’s making customers happier.

43% of marketers say better customer service is the biggest benefit of automation.

For example, a store could automatically send texts like “Your package is on the way!” or “Your order is ready for pickup!” after a purchase. These quick, helpful updates keep customers informed without anyone on the team having to type a single message.

Two-way conversation

SMS APIs let customers reply directly, turning texts into real conversations.

Take LAZ Parking, for example. It manages over 3,400 parking properties across 38 U.S. states. They needed a seamless way for drivers to pay for parking without downloading an app or standing in line. Here’s how they resolved this problem:

  • Drivers text a unique code (posted in the parking lot) to a number leased through Plivo’s SMS API.
  • They instantly receive a payment link to complete the transaction on their phones.
  • If they’re stuck, replying “HELP” triggers automated support, guiding them through the process.
A smartphone displaying a text message confirmation for parkingThis back-and-forth solves problems quickly without long wait times, keeping customers happy and reducing frustration.
LAZ Parking’s SMS interface

No maintenance worries

Cloud-based SMS APIs eliminate infrastructure headaches. Providers handle updates, scaling, and security and your team just needs to integrate the API and send messages.

No need to worry about server crashes or compatibility issues. It’s like having a dedicated IT team managing your messaging backbone 24/7.

Cost-effective strategy

Traditional marketing can get costly, and you might not even reach the right customers.

That’s why an SMS API is so useful.

It lets you send fast, affordable messages directly to thousands of people who actually want to hear from you. This makes it a simple way to grow your business and get your updates seen by the right audience.

Global reach with multilingual support

SMS APIs offer businesses the ability to connect with a global audience, transcending geographical boundaries.

Platforms like Plivo offer SMS solutions that send messages to 220+ countries and territories, with tools to adapt content to local languages, customs, and cultural preferences.

For businesses targeting international markets, this feature is crucial. It allows for consistent communication, whether you’re sending promotional offers, service updates, or support messages. Plus, by using an SMS API, companies can ensure their messages are culturally sensitive and localized.

This helps build trust with customers and increase brand loyalty across diverse demographics.

Use cases of SMS API

SMS APIs have a wide range of applications across various industries. Here are some common use cases:

Digital marketing and sales

Text message marketing is a great way for businesses to reach customers directly. It lets companies share sales updates, discounts, and important news straight to their customers’ phones.

A 2023 report on mobile users found that over half of customers (52%) prefer getting updates via text, making it a key part of any business’s marketing plan.

GoCheckin, a tool created by Fastboy Marketing, helps beauty salons send appointment reminders and special deals to their clients. They use Plivo to manage and send large numbers of texts quickly and reliably.

Using text messages instead of an app, Fastboy simplified the process for salons to connect with clients.

Notifications and alerts

Automatic updates and account alerts help keep customers in the loop and strengthen their trust in a business.

Text messages work especially well for sharing fast, dependable updates about purchases, security warnings, or changes to their accounts.

Online stores use texts to update customers at every step of the shipping process.

Take Luxer One, a company based in California that installs secure package lockers for apartments and homes as an example. They use text messages to let residents know when a package arrives.

A smartphone displaying a delivery confirmation text message
Luxer One SMS notification

Before switching to texts, they relied on emails — but many residents didn’t see or check their emails, causing packages to go unclaimed and frustrations to rise.

With text messages, Luxer One now ensures nearly every alert (over 99%) reaches customers, making package pickups smoother and customers happier.

Customer care

SMS APIs enhance customer care by enabling businesses to offer fast, personalized, and efficient support. Customers receive instant responses to their inquiries, leading to quicker resolutions and improved satisfaction.

For example, an e-commerce company can send immediate order confirmations, delivery updates, or troubleshooting guidance via SMS, keeping customers informed at every step.

Additionally, with conversational AI, you can provide instant help 24/7, reducing the burden on your team and allowing them to focus on more complex tasks. This streamlines support operations, strengthens customer relationships, and drives loyalty, all while offering a seamless customer experience.

Two-factor authentication (2FA)

Businesses use SMS services to send 2FA login codes for added security.

When users log in, the system texts a code to their phone to verify their identity. This method is popular because texts arrive quickly and people check them instantly.

Banks, apps, and online shops rely on SMS for this step — it’s simple for users and reduces fraud risks. Some companies pair it with backup options (like email) in case phones aren’t accessible.

Reminders

Sending appointment reminders by text is a simple way to keep customers informed and reduce missed appointments.

Once you connect an SMS service to your current setup, the system automatically sends reminders at the right time. For example, when an appointment is coming up, the service instantly delivers a text to the customer’s phone.

A dental clinic could text patients a day before their visit, helping them remember their appointments and show up on time.

Best practices for implementing SMS API

Implementing an SMS API can significantly enhance your application's communication capabilities. Here are some best practices to ensure a successful SMS API integration:

Set clear objectives

Setting clear objectives is key to successfully using an SMS API. Start by deciding what you want to achieve with your text messages. For example, you might want to keep customers informed, send alerts, or promote your products.

Also, establish key performance indicators (KPIs) to measure how well your SMS efforts are working and identify areas for improvement.

Prioritize business messaging guidelines

Following business messaging guidelines is crucial for staying compliant and building trust with your audience. Make sure to comply with local laws like the Telephone Consumer Protection Act (TCPA) in the U.S. and the General Data Protection Regulation (GDPR) in Europe.

It's essential to have a clear opt-in process, so people know they are agreeing to receive your messages.

Moreover, always identify your business in the texts you send. This helps create transparency and trust with your subscribers.

Use API personalization

71% of consumers expect companies to deliver personalized interactions, and 76% get frustrated when this doesn’t happen.

Taking advantage of the personalization features in your SMS API can greatly improve how your audience interacts with your messages. You can customize texts based on user data, preferences, or behaviors, making your messages more relevant.

For instance, if a retail store knows that a customer often buys running shoes, sending a text about a new running shoe launch or a special offer can make the message feel more relevant.

Also, consider A/B testing different personalized messages to find out which ones work best for your audience.

Avoid spamming subscribers with promotions

Sending too many irrelevant marketing messages can drive customers away. In fact, 47% of customers found such texts annoying and 28% stopped using the brand.

This shows how important it is to limit how often you send messages. Instead of just pushing promotions, focus on making each message valuable.

You can offer helpful information, special deals, or important updates. Sharing relevant content also keeps your audience engaged. On top of that, always provide an easy way for subscribers to opt out of messages. This gives them control over what they receive and helps improve their satisfaction.

Monitor and analyze

Monitoring and analyzing your SMS campaigns is important for ongoing success. Use analytics tools to track performance, including delivery rates, open rates, and engagement. 

Encouraging feedback from recipients can help you understand their preferences and improve future messages. Regularly review your SMS strategy based on the data you collect, and make adjustments to optimize your performance.

Experience the benefits of an SMS API with Plivo

When selecting an SMS API for mass communication, it’s important to choose a trusted cloud platform known for reliability, security, and ease of use. Here’s why Plivo stands out as a top choice for businesses:

  • Global connectivity: It allows you to send messages to customers all over the world through a network of reliable carriers.
  • Advanced features: You can manage sender IDs, use special characters for better readability, and access detailed analytics to optimize your campaigns in real time.
  • Seamless integration: Plivo’s SMS API works well with popular tools like Zapier, making your workflows simpler.
  • High reliability: The platform is built on a strong infrastructure capable of handling large message volumes. With fault-tolerant systems and high availability, it guarantees a 99.99% uptime for all global connections.
  • Competitive pricing: You only pay for what you use. Plivo offers volume discounts for regular usage, helping you save more as your messaging needs grow.
  • 24/7 customer support: Plivo provides various support plans to fit any organization's needs, from a free basic plan to a premium plan with 24/7 support.

Ready to streamline your communication? Contact us today to learn how Plivo can elevate your business messaging!

Feb 13, 2025
5 mins

What Is Voice Recognition?

Explore what is voice recognition technology, how it works, its applications in business and daily life, benefits, and the challenges it faces today.

Voice API

We use our voice to search, command, and communicate with our devices every day. But how do they actually understand us?

The answer lies in voice recognition technology. This powerful tool allows us to interact with machines using our voices, making our lives easier and more convenient.

In fact, 61% of Americans now use voice search on their smartphones, showcasing its growing importance.

But what is voice recognition?

This blog post answers exactly that. Let’s explore how it's changing the way we interact with the world around us.

What is voice recognition?

Simply put, voice recognition refers to technology that converts spoken words into actions or text. It’s designed to handle everything from simple commands to complex instructions.

These systems often have a console or web-based interface where users can log in, give voice commands, and perform tasks without needing to type.

Take airports, banks, and hospitals, for example. Many rely on voice recognition for robotic assistance to improve operations. Popular voice assistants like Siri, Cortana, Alexa, and Google Home are further proof of how integrated this technology has become in everyday life.

How does voice recognition work?

Voice recognition works by capturing the sounds we make and translating them into a digital format that computers can understand.

Think of it like this: as you speak, a microphone picks up your voice and passes it through an analog-to-digital converter. This process turns the audio into digital signals, which are then analyzed for key features like vocabulary, phonetics, and syllables.

The system stores these features in its memory and continuously makes them available for comparison when you speak.

The system relies on a large digital database stored in your computer’s RAM, which helps speed up the process. When you speak, the system matches your words with those stored in the database and quickly displays them as text on the screen.

Core components and key technologies

To further understand how voice recognition works, it’s important to break down the core technologies and components that make it possible.

Listed below are the key components that convert spoken language into text or actions for accurate, natural interactions:

Automatic speech recognition (ASR)

ASR is the backbone of voice recognition. It captures and converts spoken language into text by analyzing audio wave patterns and matching them to phonetic components in a database.

Plivo’s ASR further simplifies building voice applications. It offers real-time transcription and acts on partial results as the customer speaks. Additionally, it supports 27 languages and improves accuracy with speech hints for unusual words.

Plivo also provides prebuilt models for quick setup and a profanity filter to keep transcriptions clean. It can detect both speech and keypad inputs at the same time.

Natural language processing (NLP)

Once speech has been transcribed, NLP interprets the meaning behind the words. It helps the system understand context, grammar, and intent, ensuring accurate responses even when dealing with complex language.

Text-to-speech (TTS)

TTS converts text into spoken language, enabling systems to respond with natural, human-like voices. This makes voice assistants more engaging and easier to interact with.

Acoustic modeling

Acoustic modeling focuses on the sound of speech, capturing how different phonemes are produced in various environments. It ensures the system can accurately interpret speech, even in noisy or challenging conditions.

Language modeling

Language modeling predicts the most likely word sequences based on context, improving accuracy and reducing ambiguity. This way, the system can choose the right words, especially when multiple options are possible.

Applications of voice recognition

Voice recognition isn’t just for personal use. It’s also changing the way businesses work. As the technology keeps improving, it's having a big impact in many areas, including:

Personal assistants and smart devices

Personal assistants like Siri, Alexa, and Google Assistant are voice-activated tools that help with everyday tasks. You can ask them to answer questions, control your home, set reminders, and more — just by speaking.

For instance, when an individual asked Google Assistant about the weather in New York City, it provided a detailed forecast for the day.

Example of the Google Assistant interface displaying the query
Google Assistant’s interface
Example of Google Assistant’s interface displaying the query result; detailed weather report for the dayVoice assistants have become more and more important, making it easier and faster to get things done.
Weather forecast from Google Assistant

Enterprises

Voice technology is changing the way businesses operate. 

Take customer support, for example. Interactive voice response (IVR), when used with voice recognition systems, can help route calls to the right departments, saving time and reducing the need for human intervention.

Plivo makes this even better with its Smart IVR. It uses artificial intelligence (AI), contextual awareness, and data to create more personalized caller experiences.

Plus, the system upgrades your traditional IVR with AI voice agents and advanced audio streaming. This leads to faster interactions, less agent burnout, and happier customers while improving operational efficiency.

What's more, voice recognition can easily integrate with customer relationship management (CRM) and enterprise resource planning (ERP) platforms. This makes it simpler for teams to stay on top of tasks without switching between multiple systems.

Specialized industries

When a customer calls you, they want to feel heard and appreciated. A voice assistant makes this possible. It focuses on the customer, improving their experience and bringing benefits to your business.

Here are a few examples of different industries to show how it works:

E-commerce

61% of consumers prefer fast replies from AI over waiting for a human representative. This highlights the need for quick and 24/7 customer support. Unlike human agents, voice assistants never clock out.

For example, in an e-commerce setting, a voice assistant can instantly respond to queries like “Where’s my order?” or “What’s your return policy?” without placing the customer on hold.

It can also guide users through troubleshooting steps or help them modify an order, all through simple voice interactions.

AI’s constant availability reduces waiting times and keeps customers happy. At the same time, it frees up human agents to focus on more complex issues.

Healthcare

About 50% of Americans don’t follow their prescriptions as advised. This issue leads to 125,000 preventable deaths, 33% to 69% of hospitalizations, and half of all treatment failures in the U.S.

Voice assistants help address this problem. Patients, especially older adults, can use these tools to set reminders for taking medications on time. This simple solution ensures they don’t miss doses.

AI-powered voice assistants also make healthcare more accessible. Patients can book doctor appointments just by speaking to a voice assistant.

 Interface showing healthcare options
Healthcare options

                                                                                                                                     Source

They can even upload medical reports without visiting a clinic or dealing with complicated forms. This makes it easier to share information with doctors, get accurate advice, and lower the chances of readmission.

Education

Voice assistants take language learning beyond traditional classrooms with real-time translations and interactive lessons. They help users practice pronunciation, engage in conversations, and learn vocabulary in a natural setting.

For example, you can ask Google Assistant “How do I ask for directions in Spanish?”

Upon understanding your query, it’ll share translations and contextual usage tips, creating a personalized learning experience anywhere, anytime.

Example of Google Assistant’s interface displaying search results for the question asked
Search results provided by Google Assistant

Banking

In banking and finance, voice assistants automate routine tasks, saving time for both customers and employees. They provide instant updates on account balances, process transactions, and even offer tailored financial advice.

For instance, a banking app with voice integration might allow users to say, “Locate a nearby ATM,” or “Block my card.”

Customers are also better equipped to manage their finances without reading confusing menus or visiting a physical branch.

Benefits of voice recognition

Voice recognition technology has evolved rapidly, offering businesses new ways to operate efficiently and connect with customers. Here are some of the key benefits:

Accessibility

Voice recognition makes technology more inclusive. For individuals with disabilities, it provides a way to interact with devices without relying on touch or sight.

Someone with limited mobility may use voice commands to control smart home devices or write messages hands-free. Additionally, speaking is often faster than typing. This allows users to input information more effectively.

Productivity and efficiency

The average employee spends around 60% of their time on “work about work.” This includes tasks like searching for files, managing emails, attending unnecessary meetings, and following up with colleagues. Voice recognition can help reduce this wasted time by automating routine tasks.

For example, employees can use voice commands to quickly pull up documents, schedule meetings, or send follow-ups without interrupting their workflow.

Cutting down on administrative tasks provides employees with more time to focus on meaningful, skill-based work that drives growth.

Security

Voice recognition provides an added layer of security and customization. With voice biometrics, businesses can securely verify users, reducing the risk of fraud. For instance, financial institutions can use voice authentication to confirm customer identities over the phone.

Even better, personalized voice commands let businesses tailor services, such as allowing frequent customers to reorder with a simple command, enhancing convenience and loyalty.

Better customer experience

Voice recognition simplifies how customers interact with businesses.

Automated voice systems can answer questions like, “What’s the status of my order?” or “Can I update my address?” This saves customers time and makes the process more convenient.

Meanwhile, human agents are free to handle more complicated requests, improving overall service quality.

Challenges and ethical considerations

Voice recognition technology offers exciting possibilities, but it comes with challenges and ethical issues that businesses must address. Some of these are:

Accuracy concerns

“Sorry, can you say that again?”

You’ve probably heard this from your voice assistant more times than you’d like. Or worse, it just goes silent after failing to understand you.

Voice recognition has been around since the 1950s, but one issue has stuck with it over the years — accuracy.

It’s no surprise that 73% of businesses cite poor accuracy as the main reason they avoid using voice technology. This challenge has pushed companies to focus on improving AI algorithms that can better process and understand voice inputs.

Data privacy

Many people are unsure about trusting voice technology with sensitive tasks, like handling personal information or payments. They want to control their data and understand how others use it.

A report from PwC shows that lack of trust is one of the top reasons people avoid voice technology. While over half of users make small purchases through voice assistants, they rarely use it for anything more significant. These concerns make it harder for businesses to adopt speech recognition.

If users don’t feel secure, they may hesitate to use the technology.

User bias

Bias in training datasets can lead to unfair outcomes, such as systems that work better for certain groups of people than others.

To build trust, businesses need to be clear about how they use voice recognition. 

This includes being upfront about data collection and obtaining user permissions in an honest way. Transparency and fairness should always be priorities when adopting this technology.

Future trends in voice recognition

Voice recognition technology has made huge strides over the years. From the early days when systems could only recognize a few numbers to today's more advanced solutions, it has become a key part of many industries.

But as impressive as the progress has been, there's still a lot to look forward to. Here are some of the exciting advancements to expect in the near future:

Improved accuracy and understanding

Voice recognition systems are already quite good, but they still have room for improvement. The technology struggles with accents, complex sentences, or words that sound the same but mean different things.

In the future, we can expect these systems to get much better at understanding different ways people speak. With the help of AI and deep learning, voice recognition will be able to pick up on speech patterns, understand different pronunciations, and even recognize emotions in voice.

Better context awareness

In the next decade, voice assistants are likely to become better at understanding the context of a conversation. This means that if you're talking about a movie, your assistant might suggest similar movies or showtimes nearby, even if you don’t ask.

Improved privacy and security

As voice recognition becomes more common, keeping our data safe will become even more important. Future voice systems will likely use advanced biometric features, which means they can not only understand what you’re saying but also recognize who’s speaking.

This could lead to a more secure way of protecting your data.

Universal accessibility

Voice recognition is already helping people with disabilities, but there’s even more to come. As the technology grows, we’ll see devices that can translate sign language into spoken words or read printed text aloud with more natural-sounding voices.

Individuals with mobility issues will also benefit from better voice-activated controls, allowing them to manage their environment without needing to use their hands.

Experience the power of voice recognition with Plivo

Plivo-powered AI Voice Agents are changing how businesses work. These voice assistants can handle tasks like setting appointments, sending reminders, and offering personalized advice, all using your preferred knowledge base.

With AI shopping assistance, you can boost sales, and with real-time translations, you can break down language barriers in education. Plus, your customer support can run smoothly 24/7 with no issues.

For customers, this means they can get things done easily with just a voice command. They can check their order status, update accounts, or solve problems without even touching a screen.

Once they share their information, the system keeps it safe and uses it across different support channels, so they don’t have to repeat themselves. Plivo makes communication easier by letting customers speak in their language and getting answers instantly, anytime.

Contact us today to see how Plivo can improve your business and customer experience.

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