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Featured

What is SMS Pumping: Plivo’s Quick Guide

Jan 8, 2024
7 mins

Learn about SMS pumping, the risks it poses to businesses, how fraudsters generate fake traffic to exploit them, and how to prevent it.

In the digital age, SMS remains a cornerstone for user authentication, particularly through One-Time Passwords (OTPs). However, this reliance has made businesses vulnerable to a growing threat: SMS pumping fraud.

What is SMS pumping?

SMS pumping, also known as Artificially Inflated Traffic (AIT) or SMS toll fraud, is a fraudulent scheme where attackers exploit SMS-based services to generate large volumes of fake traffic. This is typically achieved by:

  • Automated Bots: Using bots to flood online forms with fake OTP requests.
  • Premium Rate Numbers: Directing these requests to phone numbers that incur higher charges, often controlled by the fraudsters or complicit telecom operators.

The perpetrators profit by receiving a share of the revenue generated from these inflated SMS charges, leaving businesses to bear the financial burden.

Real-World Impact: The Twitter Case

A notable example of SMS pumping's financial impact is Twitter (now X). In 2023, Elon Musk revealed that the platform was losing approximately $60 million annually due to SMS pumping fraud. The scheme involved over 390 telecom operators worldwide, who were either complicit or negligent in allowing the abuse of SMS services.

How does SMS pumping work?

The process typically unfolds as follows:

  1. Targeting Vulnerable Endpoints: Attackers identify websites or applications that send OTPs via SMS.
  2. Flooding with Requests: Bots submit numerous fake requests, often using disposable or premium-rate phone numbers.
  3. Revenue Generation: Each SMS sent to these numbers incurs a cost, which is shared with the fraudsters.

This leads to significant financial losses for businesses, as they pay for messages that serve no legitimate purpose.

Signs Your Business Might Be a Target

Be vigilant if you notice:

  • Unusual Traffic Patterns: A sudden spike in OTP requests, especially from unfamiliar regions.
  • Sequential Number Requests: Multiple OTP requests to consecutive phone numbers, indicating automated bot activity.
  • Low Conversion Rates: A high number of OTPs sent but a low rate of successful authentications.

Preventive Measures: Safeguarding Your Business

To protect against SMS pumping fraud, consider implementing the following strategies:

  • Rate Limiting: Restrict the number of OTP requests per user or IP address within a specified time frame.
  • Bot Detection: Use CAPTCHA or other bot detection mechanisms to prevent automated submissions.
  • Geo-Blocking: Limit OTP requests to regions where your user base is located.
  • Traffic Monitoring: Regularly analyze traffic patterns to identify and mitigate suspicious activities.

Plivo’s Solutions to SMS Pumping

Recognizing the growing threat of SMS pumping, Plivo is proud to offer two innovative tools, free of charge, designed to protect your business from fraudulent SMS traffic:

  1. SMS Pumping Protection for OTP Traffic: This solution is specifically built to safeguard your SMS API endpoints that handle OTP traffic. By detecting and preventing fraudulent OTP requests, it helps ensure your messaging services remain both secure and cost-effective. Read more about SMS Pumping Protection here.
  2. Fraud Shield for Verify Applications: Designed for applications leveraging Plivo’s Verify API, Fraud Shield delivers advanced fraud detection by analyzing traffic patterns, identifying anomalies, and blocking suspicious activities. This ensures your verification processes stay protected from abuse. Read more about Fraud Shield here.

Learn more about Plivo’s tools for combating SMS pumping by requesting a trial.

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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!

Jun 19, 2025
5 mins

WhatsApp Agent Setup: How to Launch AI-Powered Conversations at Scale

Learn how WhatsApp agent setup works using Plivo to launch AI-powered, no-code agents that handle support, sales, and engagement at scale.

Your customers are on WhatsApp but are your agents?

If you’re still relying on manual replies, scripted chatbots, or email follow-ups, you’re leaving response time and revenue on the table.

The smarter path? AI-powered WhatsApp agents. They’re full-service, no-code agents that can resolve issues, qualify leads, and send personalized offers 24/7.

In this guide, we’ll walk you through WhatsApp agent setup using Plivo and understand how these agents help you automate conversations that convert.

What is a WhatsApp AI agent?

A WhatsApp AI agent is an automation designed to operate over the WhatsApp Business API. Unlike scripted bots, agents are built to understand intent, pull in context from your internal systems, and complete business tasks like answering account-specific questions or initiating transactions.

Plivo’s WhatsApp AI agents can be trained to use your brand voice, integrated with your CRM or helpdesk, and customized to handle specific use cases, such as subscription renewals, cart recovery, refund processing, or customer onboarding.

They are accessible through a no-code interface and support a multilingual, omnichannel customer experience across WhatsApp, SMS, RCS, and voice.

What you need before setting up your agent

To go live with a WhatsApp agent, you need:

  • A verified Meta Business Account
  • An active WhatsApp Business Account (WABA) tied to a phone number
  • Pre-approved message templates for outbound communication
  • WhatsApp Business API access through a business solution provider (BSP) (Plivo offers this natively)
  • A platform to design, train, and manage agents (Plivo Agent Studio)

Also read: How to Create WhatsApp Message Templates: A Complete Guide

Optional but recommended integrations:

  • CRM (like Salesforce, HubSpot, or Zoho)
  • Helpdesk (like Zendesk or Freshdesk)
  • E-commerce or billing tools (Shopify, Stripe, etc.)

Pro tip: If you want to fast-track API access and template approval, using a BSP like Plivo saves weeks of back and forth with Meta.

Step-by-step: How to set up a WhatsApp agent with Plivo

Follow this step-by-step guide for a smooth WhatsApp agent setup with Plivo.

Step #1: Choose your primary use case and define agent scope

Don’t build a generic bot. Start with why you’re automating. This could be handling support queries, sending order updates, re-engaging inactive customers, or managing subscription renewals.

Image showing users how to build their own lead qualification agent in Plivo
Build a WhatsApp AI agent in Plivo

Plivo provides a library of prebuilt AI agents for common use cases like cart recovery, lead qualification, appointment reminders, and product recommendations. You can choose to use one as-is or customize it to fit your business process. Each agent is compatible with WhatsApp and designed to operate across channels as needed.

Your online pet supply business sells dog food with a typical reorder cycle of 30 days. You want to automate reminders for repeat customers, so they never run out.

The goal is to build a WhatsApp AI agent that:

  • Identifies past purchase dates
  • Sends a timely reminder before the next reorder window
  • Offers a one-click reorder option with a discount
  • Escalates to a live agent if the customer has special dietary questions

Pro tip: If you're unsure where to begin, look at existing interactions on WhatsApp that are repetitive, time-sensitive, or frequently escalated — these are ideal starting points for automation.

Step #2: Build the agent using Plivo’s no-code platform

Since your API access is already set up, you can begin building your agent in Plivo’s Agent Studio. This is a visual, drag-and-drop builder where you create conversation flows using blocks that represent actions, responses, conditions, and triggers.

Image showing WhatsApp AI agent setup in Plivo without code
No-code campaign automation in Plivo’s AI Studio

You can structure your flow to respond to specific keywords, match customer intent, route inquiries to different departments, or escalate to a live agent when needed. Each step in the journey can include media-rich responses like buttons, product carousels, quick replies, and file attachments.

Beyond logic design, you can also configure fallback rules for when the agent is unsure, and add human handoff conditions to ensure escalations happen smoothly with full context transferred to the live agent.

Image demonstrating smart handoff from AI agents to human agents in Plivo
Human handoff conditions in Plivo

Example: In Agent Studio, you set up a trigger to activate the agent 25 days after a customer’s last dog food purchase.

The agent starts with: “Hi Alex! It’s almost time to restock Luna’s Chicken & Brown Rice dog food. Want us to ship it today with 10% off?”

Depending on the customer’s reply:

  • “Yes” triggers a checkout link
  • “No” prompts a snooze option or opt-out
  • “I have a question” escalates to a human agent with the full order history

This step allows you to fully customize the agent’s tone, workflow, and logic to reflect how your brand communicates.4

Example: In Agent Studio, you set up a trigger to activate the agent 25 days after a customer’s last dog food purchase.

The agent starts with:
“Hi Alex! It’s almost time to restock Luna’s Chicken & Brown Rice dog food. Want us to ship it today with 10% off?”

Depending on the customer’s reply:

  • “Yes” triggers a checkout link
  • “No” prompts a snooze option or opt-out
  • “I have a question” escalates to a human agent with the full order history

Step #3: Train your agent with AI

Plivo supports integration with internal systems like your CRM, order management platform, inventory tools, or helpdesk. This means your agent can access real-time customer data, past orders, preferences, and policies to deliver personalized responses.

You can also connect your knowledge base, including FAQs, SOPs, product documentation, or policy articles. These resources train the agent to respond accurately and contextually, without needing scripted answers.

Dashboard image of Plivo’s AI Studio prompting users to import from a file or sync from a website
Import external knowledge from various sources into Plivo

For natural language understanding, Plivo gives you the flexibility to choose the AI model that powers your agent.

Image depicting LLM options for your WhatsApp AI agent in Plivo
Select the LLM that fits your business best

You integrate your Shopify store to pull order dates and product SKUs. You also sync your product FAQ sheet so the agent can answer:

  • “Is this food grain-free?”
  • “What’s the shelf life?”
  • “Can I switch to lamb instead of chicken?”

You power the agent using OpenAI to ensure a natural, friendly tone and multilingual support for your Spanish-speaking customers.

Step #4: Test, launch, and monitor your agent

Once your flow is built and trained, run controlled tests:

  • Check for flow accuracy and intent matching
  • Review how it handles incomplete or unclear inputs
  • Test human handoff and see if the agent transfers the full context
Image showcasing WhatsApp AI agent engagement analytics in Plivo
Monitor agent performance and engagement with Plivo

Plivo’s real-time dashboard lets you:

  • Monitor delivery, engagement, and satisfaction metrics
  • Track where users drop off in conversations
  • Identify areas to improve agent logic or content
  • Compare campaign and agent performance across channels

After launch, your agent keeps learning. As more customers interact, you’ll gather insight to improve how it responds or what paths it offers.

You run a test with 50 loyal customers. The data shows that:

  • 72% clicked the reorder button within three hours
  • 18% asked about switching flavors
  • 10% requested a pause or cancel

You adjust the flow by adding a flavor selection block and a “remind me next week” option. The analytics also show high engagement around 8 p.m., so you shift reminder timings accordingly.

Plivo is purpose-built for WhatsApp AI agent deployment

Plivo’s platform is designed to help you move from idea to live AI-powered engagement without requiring engineering support or external consultants. When you use Plivo for WhatsApp agent setup, you get:

  • Access to prebuilt agents for sales, support, and engagement
  • Intuitive no-code builder (Agent Studio) that puts you in control
  • Deep integration with your business systems for real-time, contextual replies
  • Support for the best LLMs on the market, so your agent is trained with intelligence
  • Built-in compliance with WhatsApp’s policies and global data laws
  • Unified interface to manage messaging across WhatsApp, SMS, RCS, and Voice
  • Enterprise-grade infrastructure with 99.99% uptime and expert onboarding support

Automate outcomes with WhatsApp agent setup in Plivo

Smart WhatsApp automation starts with smart setup. With Plivo's no-code platform, you can automate customer conversations, boost sales, and scale support — all without a development team.

Plivo offers the tools to build agents that reflect your brand, the infrastructure to scale securely, and the intelligence to adapt with your customer needs.

Whether you're trying to cut support wait times, recover abandoned carts, or drive upsells through personalized outreach, a well-built WhatsApp agent can make it happen, and Plivo makes it achievable.

Ready to get started? Request a free trial today!

Jun 19, 2025
5 mins

The Definitive Guide to Automating WhatsApp for Business

Learn how WhatsApp automation can simplify customer communication and scale operations. Know about its key benefits and use cases. Get started today.

Remember when WhatsApp was just a simple messaging app? Launched in 2009, it was a tool for friends and family to stay in touch. 

Fast-forward to today, and WhatsApp has become a global powerhouse with over 3 billion monthly active users. Businesses worldwide leverage WhatsApp to connect with customers, share updates, and provide support.

Many businesses struggle to keep up with the growing volume of customer messages on WhatsApp. Manually handling inquiries, sending updates, or following up on leads can quickly become overwhelming and inefficient. 

This is where WhatsApp automation steps in.

By automating repetitive messaging tasks, businesses can reduce manual workload, respond faster, and deliver more personalized, timely communication. 

In this article, we'll explore what WhatsApp automation is, why it's essential for modern businesses, and how you can implement it to improve customer engagement and operational workflows.

What is WhatsApp automation?

WhatsApp automation is the use of technology to automatically send and manage messages on the platform, especially for business and customer engagement purposes.

It doesn’t require human intervention for every interaction. As a result, businesses can handle customer inquiries, deliver updates, and engage with prospects efficiently.

Image showing WhatsApp with a conversation, highlighting conversational commerce.
A customer engaging with a brand through WhatsApp for shopping -Source

With WhatsApp business automation, you can:

  • Auto-respond to FAQs and reduce ticket volume.
  • Reduce customer support load with proactive messaging.
  • Route complex support queries to live agents only when needed.
  • Send order confirmations and delivery updates automatically.
  • Share return instructions based on customer actions.
  • Run re-engagement campaigns with smart timing.
  • Integrate with Shopify, Magento, and more for real-time updates.
  • Trigger workflows from CRMs or e-commerce platforms.
  • Keep messaging compliant with auto opt-outs and logs.

Here’s a breakdown of the three main types of automated messaging on WhatsApp:

Message Type Description Example
Transactional Messages are triggered by specific customer actions or events. "Your order has been shipped!"
Promotional Messages that promote products, services, or special offers. "Get 20% off your next purchase – limited time only!"
Conversational Automated responses that simulate a two-way conversation. "How can I assist you today?"

Key benefits of WhatsApp automation

By automating routine tasks, WhatsApp can help your business stay responsive and consistent across customer touchpoints. Here’s how it can benefit your business:

Reduce manual workloads and response times

When you automate WhatsApp interactions, every department, from marketing to customer service, runs more smoothly.

By automating routine tasks like order updates, FAQs, and customer inquiries, businesses can significantly reduce the manual effort required.

This means your team spends less time on repetitive tasks and more time focusing on high-priority interactions.

Result: Faster response times and more efficient workflows.

Increases the scalability of customer interactions

As your business grows, the number of customer interactions increases. Automation allows you to scale communication efforts without hiring additional staff or losing the personal touch.

Whether you're dealing with 50 or 5,000 customers, automated responses ensure that each inquiry is handled swiftly and consistently.

Enhances customer experience through personalization

Automated WhatsApp messages can be personalized based on customer data, creating a more relevant and tailored experience.

From addressing customers by name to offering product recommendations based on past purchases, personalization makes customers feel valued. This leads to higher engagement rates and improved loyalty.

End result: Higher customer satisfaction and increased loyalty.

Cost-effectiveness compared to manual processes

WhatsApp automation eliminates the need for large customer support teams and reduces the time spent on repetitive tasks.

This saves on operational costs and also leads to a more efficient allocation of resources.

Pro tip: Monitor your automation metrics regularly to find areas where you can cut costs further without affecting quality.

5  popular use cases of WhatsApp automation across industries

Businesses everywhere are finding new ways to use WhatsApp automation. Here are five popular examples:

1. Customer support

Automating common FAQs and routine inquiries on WhatsApp helps customers get instant answers anytime. This reduces the number of tickets support teams have to handle, letting them focus on more complex problems.

Example messages:

“Hi! How can I help you today? Here are some quick answers: For billing info, reply 1; For plan details, reply 2.”

“We’ve received your request and will get back to you within 24 hours.”

2. E-commerce operations

Order confirmations, shipping updates, and delivery notifications keep customers informed every step of the way. Automating returns and collecting feedback via WhatsApp speeds up these processes and improves customer satisfaction.

Example messages:

“Thank you for your order #12345! It is being processed and will ship soon.”

“Good news! Your package is out for delivery and should arrive by 5 PM today.”

“Need to return an item? Reply ‘Return’ and we’ll guide you through the process.”

3.Marketing and lead nurturing

Automated lead follow-ups ensure timely, consistent engagement with prospects, boosting conversion chances. Also, you can use personalized re-engagement campaigns to help bring back inactive customers with offers or updates tailored to their interests.

Example messages:

“Hi [Name], thanks for your interest! Ready to take the next step? Book a free demo here: [link]”

“We miss you! Enjoy 15% off your next purchase with code WELCOME15.”

“Exclusive offer just for you, [Name]! Check out our new arrivals: [link]”

4.Event management and invitations

Automated WhatsApp invites, updates, and follow-ups keep your audience informed and engaged, boosting the attendance rate. This helps you stay connected and make every event a success.

5.Appointment scheduling and reminders

Timely reminders help customers remember appointments, reducing cancellations and improving the overall experience. Automation makes scheduling easier and more efficient for both businesses and customers.

Example messages:

“Your appointment with Dr. Smith is confirmed for June 20 at 2 PM. Reply ‘Cancel’ to reschedule.”

“Hi! Just a friendly reminder about your hair salon appointment tomorrow at 11 AM.”

“Need to book an appointment? Reply ‘Book’ and we’ll help you find the perfect time.”

Step-by-step guide to implement WhatsApp automation for your business

To successfully implement WhatsApp automation, follow these key steps that cover planning, setup, and optimization. 

Step 1: Define your use cases and goals

Start by identifying which business functions, such as order updates, customer support, or lead follow-ups, will benefit most from automation.

Set clear, measurable goals like: 

  • Reducing response times 
  • Lowering manual workload 
  • Boosting customer engagement 

This will guide your automation strategy and help you track success.

Also, ensure compliance from the start. WhatsApp requires businesses to obtain explicit customer opt-in before sending messages. To stay compliant:

  • Use clear, transparent language when requesting consent.
  • Collect opt-ins through channels like website forms, checkout flows, or click-to-chat ads.
  • Log and manage consent within your systems for audit readiness.

Data privacy and compliance are essential for building trust and maintaining long-term customer relationships.

Step 2: Choose the right WhatsApp business API provider

Select a platform that fits your specific needs. Look for features like:

  • Robust CRM integrations
  • Audience segmentation
  • Flexible automation workflows

These capabilities simplify your communication and scale your efforts efficiently.

Make segmentation a priority, use tagging and grouping strategies to target the right customers with the right messages. 

With smart tagging and grouping, you can:

  • Deliver personalized messages
  • Engage the right people at the right time
  • Improve conversion and retention

Example: Send exclusive offers to loyal buyers and welcome discounts to new customers. Good segmentation enhances your automation and drives better outcomes.

Step 3: Set up your WhatsApp business account

You must set up a verified WhatsApp Business account to use WhatsApp for automated messaging. This includes:

  • Registering your business name and details.
  • Verifying a dedicated phone number.
  • Getting approval from Meta to use the WhatsApp Business API.

This ensures that your business is recognized as a legitimate sender.

Your WhatsApp API provider will typically assist with onboarding, including submitting documentation and setting up the technical aspects. 

Some platforms also offer pre-built tools to help you manage mobile number registration, display name approval, and message template submissions.

Pro tip: To avoid disruptions, choose a phone number that’s not already tied to a personal WhatsApp account.

Step 4: Create and submit message templates

Start by designing message templates for everyday customer interactions, such as:

  • Promotional messages (e.g., limited-time offers)
  • Transactional updates (e.g., order confirmations, delivery alerts)
  • Support messages (e.g., ticket updates or issue resolution)

Each template must follow WhatsApp’s formatting and content policies.

Once your templates are ready, submit them through your WhatsApp API provider for Meta’s approval. Only approved templates can be used for proactive messaging.

Step 5: Build automation workflows

Now that your account and templates are ready, it’s time to connect WhatsApp with the rest of your tech stack. Integrate with:

  • CRM systems (to access customer data)
  • Support tools (for query management)
  • E-commerce platforms (to track orders and actions)

Use event-based triggers, like a new order, a cart abandonment, or a support ticket, to automatically send relevant messages.

Additionally, plan for human fallback. Automation can’t handle everything. Build intelligent workflows that escalate to a human agent when:

  • A customer requests help
  • The query is too complex
  • Sentiment detection flags a negative experience

This keeps your support experience smooth, responsive, and frustration-free.

Step 6: Test, launch, and optimize

Start with a pilot campaign to ensure everything runs smoothly.

Track key metrics:

  • Response time
  • Open rate
  • Conversion rate

Use these insights to refine your workflows, improve message content, and adjust targeting.

Best practices for WhatsApp automation 

Following some proven best practices is essential to get the most out of WhatsApp automation. Here’s what you need to know:

Tips for optimizing messaging frequency and timing

To keep your audience interested, it's vital to message thoughtfully and strategically. Here are some quick tips:

  • Avoid over-messaging to prevent unsubscribes.
  • Use analytics to identify when your audience is most active and receptive.
  • Space out messages to keep it natural.
  • Monitor response rates and adjust based on customer behavior and feedback.

Leverage data analytics for campaign performance 

By tracking metrics such as open rates, click-through rates, and response times, you gain valuable insights into what works and what doesn’t. Use this data to refine your messaging, target relevant audience segments, and optimize timing. 

Regularly reviewing analytics helps you make informed decisions that boost engagement and drive better results over time.

Compliance and customer privacy protection

To protect your customers and stay compliant, focus on these key areas:

Compliance What it means Best practise
GDPR Protects the personal data of EU customers Obtain consent, allow easy opt-out, and secure data
SOC 2 Ensures security and confidentiality standards Implement strong data controls and audits
Customer privacy Respect and protect user information Be transparent, limit data use, and maintain trust

Enhance customer communication with Plivo’s AI WhatsApp automation

The growing demand for instant, tailored communication on WhatsApp puts pressure on businesses to respond quickly. Customers expect fast, personalized replies around the clock, and doing this manually often leads to delays, inconsistent service, and missed opportunities. 

Finding a way to scale these conversations efficiently is critical for businesses looking to stay competitive.

That’s where Plivo comes in, an industry-leading omnichannel platform that automates and personalizes WhatsApp conversations, delivering timely responses at scale.

By leveraging Plivo’s WhatsApp AI agents, businesses can manage a wide range of customer communication tasks, from pre-sales inquiries to post-purchase support, without increasing their team size.

Here’s how Plivo can enhance your customer communication:

  • Brand-aligned AI agents: You can customize the AI agents to reflect your brand’s voice, tone, and style. This makes all customer interactions align with your brand’s identity and deliver a personalized experience.
  • AI customer service agent: Plivo’s AI agents work around the clock, ensuring your customers receive timely responses, regardless of the time zone. These agents process orders, resolve support issues, and answer questions.
AI customer service agent managing chats and orders.
Plivo’s AI agents provide 24/7 support, processing orders and answering customer questions promptly.
  • Natural, human-like conversations: With AI agents, you can engage in context-aware conversations, mimicking human interactions. They remember customer preferences and history to provide relevant responses like a human agent would.
  • Simple, volume-based pricing: Plivo charges a flat fee per conversation rather than per message, making costs predictable and scalable. Volume discounts are available to lower your total spend as your messaging needs grow.
Image showing Plivo’s flat-fee per conversation pricing with volume discounts.
Plivo charges a flat fee per conversation with volume discounts.
  • Built-in compliance: Plivo ensures compliance with GDPR, HIPAA, PCI DSS, ISO 27001, and SOC 2 standards.
  • Guaranteed message delivery with fallback options: The platform delivers billions of messages annually and uses SMS and voice fallback channels to ensure your customers always receive important communications.
  • 24/7 availability: Plivo's AI agents provide instant, 24/7 assistance, answering questions, processing orders, and resolving customer issues.
  • Multilingual support: With support for 70+ languages, Plivo’s AI agents can engage with customers globally and offer a multilingual customer service experience.
  • E-commerce platform integrations: Integrate seamlessly with popular e-commerce platforms like Shopify, BigCommerce, WooCommerce, and Magento to deliver a unified customer experience across all touchpoints.

With Plivo’s vast carrier network spanning over 220 countries, businesses can significantly cut SMS costs by up to 70% while achieving threefold returns on investment. 

Many companies using Plivo CX have experienced remarkable results, earning an outstanding $71 for every dollar invested in their SMS marketing efforts.

Book a free demo today and see how Plivo’s AI WhatsApp agents can change your customer communication strategy.

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Sep 14, 2021
5 mins

How to Build a Voice-controlled Virtual Assistant (IVR) in Go with Gin and Plivo

Plivo's SMS API and Voice API enables businesses to communicate with their customers at global scale. Sign up for free now.

Go SDK
Voice API
How To
IVR

A virtual assistant can help your business if you have clients who call your phone number. Interactive voice response (IVR) helps you to automate call reception by routing callers to the most appropriate department or the agent most qualified to meet their needs. Among its many advantages, IVR can provide increased operational efficiency, a stronger brand image, and better customer insights.

A voice-controlled virtual assistant is one step ahead of the legacy Touch-Tone/DTMF controlled one because of the flexibility it allows end-users. They can just speak into their phone’s microphone to provide input to control the call.

Building a voice-controlled virtual assistant using Plivo’s automatic speech recognition (ASR) feature in Go using the Gin application is simple. This guide shows you how to set up a voice-controlled IVR phone tree to a Plivo number and manage the call flow when the call reaches the Plivo voice platform. To see how to do this, we’ll build a rails application to receive an incoming call and use the GetInput XML element to capture speech input and implement a simple IVR phone system.

Prerequisites

Before you get started, you’ll need:

  • A Plivo account — sign up for one for free if you don’t have one already.
  • A voice-enabled Plivo phone number if you want to receive incoming calls. To search for and buy a number, go to Phone Numbers > Buy Numbers on the Plivo console.
Buy a New Plivo Number
  • Golang, Gin, and Plivo go packages.
  • ngrok — a utility that exposes your local development server to the internet over secure tunnels.

How it works

Receive Speech Inputs

Create a Gin web application to create a voice-controlled virtual assistant

Once you’ve installed Golang, Gin, and Plivo go packages, create a simple Gin web application to handle incoming calls on a Plivo number. To handle an incoming call, you need to return an XML document from the URL configured as the Answer URL in the application assigned to the Plivo number. The Go SDK can manage the XML document generation, and you can use the GetInput XML element to capture speech inputs and implement a simple IVR phone system. Use this code:

        
package main

    import (
        "github.com/gin-gonic/gin"
        "github.com/plivo/plivo-go/v7/xml"
    )
    
    func >main() {
        >r := >gin.>Default()
        //  Welcome message - firstbranch
        >WelcomeMessage := "Welcome to the demo app, Say Sales to talk to our Sales representative. Say Support to talk to our Support representative"
        // This is the message that Plivo reads when the caller does nothing at all
        >NoInput := "Sorry, I didn't catch that. Please hangup and try again later."
        // This is the message that Plivo reads when the caller inputs a wrong digit.
        >WrongInput := "Sorry, it's a wrong input."
        >r.>GET("/virtual_assistant/", func(>c *>gin.>Context) {
            >c.>Header("Content-Type", "application/xml")
            >response := >xml.>ResponseElement{
                >Contents: []interface{}{
                    new(>xml.>GetInputElement).
                        >SetAction("https://" + >c.>Request.>Host + "/virtual_assistant/firstbranch/").
                        >SetMethod("POST").
                        >SetInputType("speech").
                        >SetInterimSpeechResultsCallback("https://" + >c.>Request.>Host + "/virtual_assistant/firstbranch/").
                        >SetInterimSpeechResultsCallbackMethod("POST").
                        >SetRedirect(true).
                        >SetContents([]interface{}{
                            new(>xml.>SpeakElement).
                                >AddSpeak(>WelcomeMessage, "WOMAN", "en-US", 1),
                        }),
                    new(>xml.>SpeakElement).
                        >AddSpeak(>NoInput, "WOMAN", "en-US", 1),
                },
            }
            >c.>String(200, >response.>String())
        })
        >r.>GET("/virtual_assistant/firstbranch/", func(>c *>gin.>Context) {
            >c.>Header("Content-Type", "application/xml")
            >speech := >c.>Query("Speech")
            >fromnumber := >c.>Query("From")
            // result := "Digit Input is:" + digit + " "
            if >speech == "sales" {
                >c.>XML(200, >xml.>ResponseElement{
                    >Contents: []interface{}{
                        new(>xml.>DialElement).
                            >SetCallerID(>fromnumber).
                            >SetContents([]interface{}{
                                new(>xml.>NumberElement).
                                    >SetContents("+14156667777"),
                            }),
                    },
                })
            } else if >speech == "support" {
                >c.>XML(200, >xml.>ResponseElement{
                    >Contents: []interface{}{
                        new(>xml.>DialElement).
                            >SetCallerID(>fromnumber).
                            >SetContents([]interface{}{
                                new(>xml.>NumberElement).
                                    >SetContents("+14156667778"),
                            }),
                    },
                })
            } else {
                >response := >xml.>ResponseElement{
                    >Contents: []interface{}{
                        new(>xml.>SpeakElement).
                            >AddSpeak(>WrongInput, "WOMAN", "en-US", 1),
                    },
                }
                >c.>String(200, >response.>String())
            }
        })
        >r.>Run() // listen and serve on 0.0.0.0:8080 (for windows "localhost:8080")
    }
    
  

Test the code locally

Save this code in any file (name the file something like virtual_assistant.go). To run this file on the server, go to the folder where this file resides and use the following command:

$ go run virtual_assistant.go

And you should see your basic server app in action on http://localhost:8080/virtual_assistant/.

Expose the local server to the internet using ngrok

Once you see the application working locally, the next step is to connect the application to the internet to return the XML document to process the incoming call. For that, we recommend using ngrok, which exposes local servers behind NATs and firewalls to the public internet over secure tunnels. Install it and run ngrok on the command line, specifying the port that hosts the application on which you want to receive incoming calls (8080 in this case, as our local Gin web application is running there):

$ ./ngrok http 8080
Ngrok CLI

Ngrok will display a forwarding link that you can use as a webhook to access your local server over the public network.

Test the link by opening the ngrok URL (https://59d9-49-206-115-115.ngrok.io/virtual_assistant/) in a browser or use HTTPie to check the XML response from the ngrok URL.

XML document with GetDigits XML element

Connect the Gin web application to a Plivo number

The final step is to configure the application as a Plivo voice application and assign it to a Plivo number on which you want to activate the voice-controlled virtual assistant.

Go to the Plivo console and navigate to Voice > Applications > XML, then click on the Add New Application button in the upper right.

Provide a friendly name for the application — we used “App-Virtual-Assistant” — and configure the ngrok URL https://59d9-49-206-115-115.ngrok.io/virtual_assistant/ as the Answer URL. Select the HTTP verb as POST, then click Create Application.

Create Plivo App for voice-controlled IVR MVC app

Now go to Phone Numbers > Your Numbers and click on the number to which you want to assign the application. From the Plivo Application drop-down, choose the voice application you just created. Finally, click Update Number.

Assign Virtual-Assistant Plivo App

Test the application

Make a phone call to the Plivo number you selected. You should see that the VirtualAssistant rails application automatically routes the call to the Sales and Support departments based on the speech inputs received on the call.

And that’s how simple it is to set up a voice-controlled virtual assistant on a Plivo number and handle it using XML documents using Plivo’s Plivo’s Ruby SDK and a rails application. You can implement other use cases on the Plivo Voice platform, such as phone system IVR, call forwarding, and number masking, as your business requires.

Haven’t tried Plivo yet? Getting started is easy and only takes five minutes. Sign up today.

Sep 14, 2021
5 mins

Transparent pay-as-you-go pricing puts Plivo on top

Pay-as-you-go pricing is a key Plivo advantage. Compare our pricing page and Twilio’s and see how much you can save.

Pricing

One of the key advantages of cloud computing is the ability to pay for only the resources you use. It’s true of the hardware resources you save if you spin up cloud instances, and it’s true of SaaS software like Plivo.

Using the cloud for computing and storage resources is a huge win over buying hardware. Hardware is expensive. It’s not easy to scale up as your needs change. It requires administrators to install and maintain it. And often it sits underutilized, meaning you’re not getting the full value out of your precious capital expenditures.

The same advantages apply to cloud software. You don’t have to pay an annual license fee (though you may have to pay an annual or monthly subscription fee). You don’t have to install anything, so you need fewer sysadmin resources. Your software doesn’t get out of date — you’re always working with the most recent version. There’s no contract to sign. The SaaS provider handles everything from security to availability — all you have to do is hand over your credit card.

With Plivo, the benefit is even bigger, because Plivo is pure pay-as-you-go — simple usage-based pricing. Check out our pricing page. Every phone call you make or receive, every text message you send or receive costs the same amount, and we tell you what you’ll pay in black and white right on our website, so you can see what Plivo costs compared to what our competitors charge — if they’re as transparent about their pricing as we are. There are no hidden fees or surcharges — what you see is what you pay.

Or rather, we should say, what you see is the most you’ll pay. If you commit to using Plivo for a certain level of voice and messaging traffic every month, we’ll give you a volume discount. You should talk to our sales team about how much of a discount you can enjoy for your individual use case.

To get you started, we have another great pricing scheme — free. Sign up for Plivo and we’ll give you free credits so you can see how easy it is to send messages and make voice calls with our APIs and our cloud communications platform. We have great getting started documentation and free 24/7 support. The sooner you try us out, the sooner you can start saving.

Sep 9, 2021
5 mins

How to Build a Call Forwarding App in Go with Gin-Gonic and Plivo

Plivo's SMS API and Voice API enables businesses to communicate with their customers at global scale. Sign up for free now.

Go SDK
Voice API
How To
Call Forwarding

Businesses use call forwarding all the time to route incoming calls to available agents, extensions, or departments that cater to the caller’s needs. Creating a call forwarding app is simple when you use Plivo’s Go SDK. This guide shows you how to receive incoming calls on Plivo numbers and manage the call flow once a call reaches the Plivo voice platform. To see how to do this, we’ll build a Go Gin application to forward the call to a mobile number using the Dial XML element.

Prerequisites

Before you get started, you’ll need:

  • A Plivo account — sign up for one for free if you don’t have one already.
  • A voice-enabled Plivo phone number if you want to receive incoming calls. To search for and buy a number, go to Phone Numbers > Buy Numbers on the Plivo console.
Buy a New Plivo Number
  • Golang, Gin, and Plivo go packages.
  • ngrok — a utility that exposes your local development server to the internet over secure tunnels.

How it works

Call Forward

Create a Gin web application to forward incoming calls

Once you’ve installed Golang, Gin, and Plivo go packages, create a simple Gin web application to handle incoming calls on a Plivo number. To handle an incoming call, you need to return an XML document from the URL configured as the Answer URL in the application assigned to the Plivo number. The Go SDK can manage the XML document generation, and you can use the Dial XML element to forward the call to a mobile number. Use this code:

package main

    import (
        "github.com/gin-gonic/gin"
        "github.com/plivo/plivo-go/v7/xml"
    )
    
func main() {
    r := gin.Default()
    r.GET("/receive_call", func(c *gin.Context) {
    c.Header("Content-Type", "application/xml")
    response := xml.ResponseElement{
        Contents: []interface{}{
            new(xml.SpeakElement).
               AddSpeak("Hello, you just received your first call", "MAN", "en-US", 1),
                },
            }
            c.String(200, response.String())
        })
        r.Run() // listen and serve on 0.0.0.0:8080 (for windows "localhost:8080")
    }
    

Test the code locally

Save this code in any file (name the file something like forward_call.go). To run this file on the server, go to the folder where this file resides and use the following command:

$ go run receive_call.go

And you should see your basic server app in action on http://localhost:8080/forward_call.

Expose the local server to the internet using ngrok

Once you see the application working locally, the next step is to connect the application to the internet to return the XML document to process the incoming call. For that, we recommend using ngrok, which exposes local servers behind NATs and firewalls to the public internet over secure tunnels. Install it and run ngrok on the command line, specifying the port that hosts the application on which you want to forward incoming calls (8080 in this case, as our local Gin web application is running there):

$ ./ngrok http 8080
Ngrok CLI

Ngrok will display a forwarding link that you can use as a webhook to access your local server over the public network.

Test the link by opening the ngrok URL (https://e67a-49-206-115-115.ngrok.io/forward_call) in a browser or use HTTPie to check the XML response from the ngrok URL.

XML document with GetDigits XML element

Connect the Gin web application to a Plivo number

The final step is to configure the application as a Plivo voice application and assign it to a Plivo number on which you want to forward incoming calls.

Go to the Plivo console and navigate to Voice > Applications > XML, then click on the Add New Application button in the upper right.

Provide a friendly name for the application — we used “App-call-forward” — and configured the ngrok URL https://e67a-49-206-115-115.ngrok.io/forward_call as the Answer URL. Select the HTTP verb as POST, then click Create Application.

Create Plivo App to Forward Incoming calls

Now go to Phone Numbers > Your Numbers and click on the number to which you want to assign the application. From the Plivo Application drop-down, choose the voice application you just created. Finally, click Update Number.

Assign the call forward Plivo App to a Plivo Number

Test the application

Make a phone call to the Plivo number you selected. You should see that the Gin web application automatically forwards the call to the phone number configured in the call forwarding app.

And that’s how simple it is to receive an incoming call on a Plivo number and forward it using XML documents using Plivo’s Go SDK and a Gin web application. You can implement other use cases on the Plivo Voice platform, such as phone system IVR, receive DTMF/Speech inputs, and number masking, as your business requires.

Haven’t tried Plivo yet? Getting started is easy and only takes five minutes. Sign up today.

Sep 7, 2021
5 mins

How to Build a Voice-controlled Virtual Assistant (IVR) in Ruby Using Rails and Plivo

Plivo's SMS API and Voice API enables businesses to communicate with their customers at global scale. Sign up for free now.

Ruby SDK
Voice API
How To
IVR

A virtual assistant can help your business if you have clients who call your phone number. Interactive voice response (IVR) helps you to automate call reception by routing callers to the most appropriate department or the agent most qualified to meet their needs. Among its many advantages, IVR can provide increased operational efficiency, a stronger brand image, and better customer insights.

A voice-controlled virtual assistant is one step ahead of the legacy Touch-Tone/DTMF controlled one because of the flexibility it allows end-users. They can just speak into their phone’s microphone to provide input to control the call.

Building a voice-controlled virtual assistant using Plivo’s automatic speech recognition (ASR) feature in Ruby using Ruby on Rails is simple. This guide shows you how to set up a voice-controlled IVR phone tree to a Plivo number and manage the call flow when the call reaches the Plivo voice platform. To see how to do this, we’ll build a rails application to receive an incoming call and use the GetInput XML element to capture speech input and implement a simple IVR phone system.

Prerequisites

Before you get started, you’ll need:

  • A Plivo account — sign up for one for free if you don’t have one already.
  • A voice-enabled Plivo phone number if you want to receive incoming calls. To search for and buy a number, go to Phone Numbers > Buy Numbers on the Plivo console.
Buy a New Plivo Number
  • Rails and Plivo Ruby packages.
  • ngrok — a utility that exposes your local development server to the internet over secure tunnels.

How it works

Receive Speech Inputs

Create a Rails application to create a voice-controlled virtual assistant

First, you need to install Rails if you haven’t installed it already. Use the command gem install rails, or use bundler or RVM to install it. Add a new Rails project with boilerplate code with the command rails new myrailsapp. This will create a myrailsapp directory with the necessary folders and files for development. Then add the Plivo Ruby gem (gem ‘plivo’, ‘~> 4.16.0’) as a dependency in the gemfile and use the command bundle install to install it.

Once you’ve installed Rails and the Plivo Ruby SDK, change to the newly created myrailsapp project directory and run rails generate controller Plivo voice to create a Rails controller to handle incoming calls on a Plivo number. To handle an incoming call, you need to return an XML document from the URL configured as the answer URL in the application assigned to the Plivo number. The Ruby SDK can manage the XML document generation, and you can use the GetInput XML element to capture speech inputs and implement a simple IVR phone system. Use this code in the PlivoController class in app/controllers/plivo_controller.rb file:

# Welcome message - firstbranch
$WelcomeMessage = "Welcome to the demo app, Press 1 for your account balance.
Press 2 for your account status. Press 3 to talk to our representative"
# This is the message that Plivo reads when the caller does nothing at all
$NoInput = "Sorry, I didn't catch that. Please hangup and try again later."
# This is the message that Plivo reads when the caller inputs a wrong digit.
$WrongInput = "Sorry, it's a wrong input."
class PlivoController < ApplicationController
  def virtual_assistant
    response = Plivo::XML::Response.new
    get_input = response.addGetInput(
		action:'https://'+request.host+'/plivo/va_firstbranch/', 
		digitEndTimeout: '5',
		inputType:'dtmf',
		method:'POST',
		redirect:'true',
    )
    get_input.addSpeak($WelcomeMessage, voice: 'Polly.Salli', language: 'en-US')
    response.addSpeak($NoInput)
    xml = Plivo::XML::PlivoXML.new(response)
    puts xml.to_xml()
    puts xml.to_xml
    render xml: xml.to_xml
 end
 def va_firstbranch
    speech = params[:Speech]
    from_number = params[:From]
    puts "Speech Input is:", speech
    response = Plivo::XML::Response.new
    if (speech == "sales")
      params = {
        'action' => 'https://'+request.host+'/plivo/multilevelivr/action/',
        'method' => "POST",
        'redirect' => "false",
        'callerId' =>from_number
      }
      dial = response.addDial(params)
      dial.addNumber("<number_1>")
    elsif (speech == "support")
      params = {
        'action' => 'https://'+request.host+'/plivo/multilevelivr/action/',
        'method' => "POST",
        'redirect' => "false",
        'callerId' =>from_number
      }
      dial = response.addDial(params)
      dial.addNumber("<number_2>")
    else
      response.addSpeak($WrongInput)
    end
    xml = Plivo::XML::PlivoXML.new(response)
    puts xml.to_xml
    render xml: xml.to_xml
  end
end

Test the code locally

Add a route for the inbound function in the PlivoController class. Open the config/routes.rb file and add this line after the inbound route: get ‘plivo/virtual_assistant’. To run the code on the rails server, use the command rails server. You should see your basic server application in action on http://127.0.0.1:3000/plivo/virtual_assistant/.

Expose the local server to the internet using ngrok

Once you see the application working locally, the next step is to connect the application to the internet to return the XML document to process the incoming call. For that, we recommend using ngrok, which exposes local servers behind NATs and firewalls to the public internet over secure tunnels.

Install ngrok, but before you start the ngrok service, whitelist ngrok by adding it to the config.hosts list in the config/environments/development.rb file with this command. You’ll face a Blocked host error if you fail to add it.

# whitelist ngrok domain
config.hosts << /[a-z0-9]+\.ngrok\.io/

Now run ngrok on the command line, specifying the port that hosts the application on which you want to receive messages (3000 in this case, as our local Rails application runs there):

$ ./ngrok http 3000

Ngrok will display a forwarding link that you can use as a webhook to access your local server over the public network.

Ngrok CLI

Test the link by opening the ngrok URL(https://e3b9-49-206-112-65.ngrok.io/plivo/virtual_assistant/) in a browser or HTTPie to check the XML response from the ngrok URL.

XML document with GetDigits XML element

Connect the Rails application to a Plivo number

The final step is to configure the application as a Plivo voice application and assign it to a Plivo number on which you want to activate the voice-controlled virtual assistant.

Go to the Plivo console and navigate to Voice > Applications > XML, then click on the Add New Application button in the upper right.

Provide a friendly name for the application — we used “App-Virtual-Assistant” — and configure the ngrok URL https://e3b9-49-206-112-65.ngrok.io/plivo/virtual_assistant/ as the Answer URL. Select the HTTP verb as POST, then click Create Application.

Create Plivo App for voice-controlled IVR MVC app

Now go to Phone Numbers > Your Numbers and click on the number to which you want to assign the application. From the Plivo Application drop-down, choose the voice application you just created. Finally, click Update Number.

Assign Virtual-Assistant Plivo App

Test the application

Make a phone call to the Plivo number you selected. You should see that the VirtualAssistant rails application automatically routes the call to the Sales and Support departments based on the speech inputs received on the call.

And that’s how simple it is to set up a voice-controlled virtual assistant on a Plivo number and handle it using XML documents using Plivo’s Plivo’s Ruby SDK and a rails application. You can implement other use cases on the Plivo Voice platform, such as phone system IVR, call forwarding, and number masking, as your business requires.

Haven’t tried Plivo yet? Getting started is easy and only takes five minutes. Sign up today.

Sep 3, 2021
5 mins

Go back to school with SMS from Plivo

A new Harris Poll shows that back-to-school shoppers are open to receiving SMS text messages from retailers.

SMS Marketing

Go back to school with SMS from Plivo

Hey, Mr. Retailer, is back-to-school time an important shopping period for your business? We hope the season is going well for you this year — and we know a way to make it better in the future.

Plivo commissioned The Harris Poll to conduct a survey in August among more than 2,000 US adults aged 18 and older. We found that nearly 9 in 10 Americans (87%) are open to receiving communications from retailers they shop or want to shop with, and the percentage was even higher — 94% — among US adults who planned to do back-to-school shopping.

How do you reach all of those consumers, who have money that they’re already planning to spend — somewhere — on clothing, school supplies, dorm furnishings, and personal electronics? The best way to communicate with current and potential customers is through SMS text messaging. Consider these statistics from TechJury:

  • 75% of people are open to receiving offers via SMS.
  • 66% of Americans check their phones 160 times a day on average.
  • SMS has a 98% open rate.
  • More than 60% of people read their SMS messages within five minutes.

All of those statistics show that text messaging is a tool you can’t afford to ignore.

We dived a little deeper into the results of our Harris Poll survey and found that about 3 in 4 (74%) US adults surveyed would opt in to receive text messages from retailers, primarily for shipping and delivery notices and updates (45%) and coupons (43%). The results varied a bit with the age of the consumer; younger adults were more likely to opt in to any messaging, and adults ages 35-44 were most likely to opt in for sales promotions.

CPaaS and APIs FTW

While businesses may see the value of adding text messaging to their applications, they may be baffled about where to start. The answer is a cloud-based communications platform, also known as communication platform as a service (CPaaS), that provides a set of APIs that your developers can use to add the ability to send and receive messages to your existing applications.

Of course CPaaS platforms vary, so to take advantage of the power of SMS, you should look for a communications platform with a reliable network of high-quality carriers, a presence in every market you serve (with local phone numbers), and a simple, well-documented API that makes it easy for developers to add SMS messaging to your applications. Plivo not only provides all that, we walk our customers through the complex world of regulatory compliance for things like sending rate limits, data privacy, and sender ID regulations. Put all of that together and you can see why Plivo is the top cloud communications platform in customer satisfaction on G2.

That all sounds good, but we know you won’t be convinced until you see for yourself. That’s why we’ve written use case guides for common tasks like sending SMS messages that show you and your developers exactly how to implement more than a dozen common business tasks, with coding examples in seven common development languages. You can test any and all of them for free by creating a free Plivo account.

If you’re not already using SMS to communicate with your market, your customers aren’t the only ones who need to go back to school. We’ve got some interesting study aids for you. You can read about the power of using SMS for marketing. We’ve also written awhite paper on how to optimize your SMS communications, and an SMS best practices guide for more insights and tips. If you have questions on other topics, we encourage you to talk to one of our experts. They can help you pass SMS 101 with flying colors.

*This survey was conducted online within the United States by The Harris Poll on behalf of Plivo from August 10-12, 2021 among 2,082 U.S. adults ages 18 and older, of whom, 688 plan to shop for back to school this year. For complete survey methodology, please contact press@plivo.com.

Sep 2, 2021
5 mins

Plivo Research Reveals Shopper Communication Preferences for Back to School

A Plivo-commissioned poll finds back-to-school shoppers welcome communications from retailers, especially via email and text messaging.

SMS Marketing

With back-to-school season upon us, it’s time for a little pop quiz (remember those?). Do you know how back-to-school shoppers prefer to communicate with your brand?

If you’re not sure, you’re in the right place.

In early August, Plivo commissioned The Harris Poll to conduct a survey among more than 2,000 US adults aged 18 and older.* We found that nearly 9 in 10 Americans (87%) are open to receiving communications from retailers they shop or want to shop with, and the percentage was even higher — 94% — among US adults who planned to do back-to-school shopping.

Of those adults, 70% preferred email notifications, 53% preferred SMS/text messaging, and 32% preferred direct mail. Only 27% were open to in-app messaging and 26% were open to receiving phone calls.

Plivo survey conducted by Harris Poll

When we looked into those who were specifically shopping for back to school, we discovered four more key insights:

Men and women are both doing back-to-school shopping

While men are less likely than women to do back-to-school shopping, a significant number of them still do. According to our survey, 36% of men and 34% of women are doing back-to-school shopping.

Older shoppers prefer email and direct mail communications

Reaching out to older shoppers? Be sure to reach out via their preferred channels. Back-to-school consumers over the age of 65 noted that their preferred form of communication is email (70%) and direct mail (65%), while SMS (19%) and phone call (7%) were their least preferred. By contrast, younger consumers between the ages of 18 and 34 most prefer email (65%) and SMS (56%), and least prefer direct mail (24%).

91% of back-to-school shoppers would opt in to SMS/text message notifications from retailers

In great news for brands, we found back-to-school consumers are very open to opting in to SMS notifications. They’re willing to sign up for:

  • Shipping/delivery notices and updates (58%)
  • Coupons (57%)
  • Sale promotions (51%)
  • Notification that product is back in stock (42%)
  • Curbside pickup (37%)
  • New product notifications (34%)

Clearly these consumers are most interested in deals and updates on existing orders. Back-to-school shoppers likely have specific supply lists or items in mind this time of year, so they’re looking for communications that help them find what they need, at a good price, delivered when they want it.

As income and education increases, so does the likelihood of opting in to SMS notifications

For the most part, the likelihood of opting in to retailers’ text notifications increases with income and education level. 88% of US adults with an income of under $50,000 said they would opt in, while 95% of those with an income over $100,000 would opt in. Meanwhile, 85% of those with a high school education or less would opt in, while of those with a college degree or more, 94% would opt in.

If you’re not already communicating with your back-to-school customers in their preferred channels, go back to school with us! Check out our guide to SMS notification use cases and best practices.

*This survey was conducted online within the United States by The Harris Poll on behalf of Plivo from August 10-12, 2021, among 2,082 U.S. adults ages 18 and older, of whom 688 plan to shop for back to school this year. For complete survey methodology, please contact press@plivo.com.


Aug 30, 2021
5 mins

How to Build a Call Forwarding App in Ruby Using Rails and Plivo

Plivo's SMS API and Voice API enables businesses to communicate with their customers at global scale. Sign up for free now.

Ruby SDK
Voice API
How To
Call Forwarding

Businesses use call forwarding all the time to route incoming calls to available agents, extensions, or departments that cater to the caller’s needs. Creating a call forwarding app is simple when you use Plivo’s Ruby SDK. This guide shows you how to receive incoming calls on Plivo numbers and manage the call flow once a call reaches the Plivo voice platform. To see how to do this, we’ll build a Ruby on Rails application to forward the call to a mobile number using the Dial XML element.

Prerequisites

Before you get started, you’ll need:

  • A Plivo account — sign up for one for free if you don’t have one already.
  • A voice-enabled Plivo phone number if you want to receive incoming calls. To search for and buy a number, go to Phone Numbers > Buy Numbers on the Plivo console.
  • Rails and Plivo Ruby packages.
  • ngrok — a utility that exposes your local development server to the internet over secure tunnels.

How it works

Call Forward

Create a Rails application to forward incoming calls

First, you need to install Rails if you haven’t installed it already. Use the command gem install rails, or use bundler or RVM to install it. Add a new Rails project with boilerplate code with the command rails new myrailsapp. This will create a myrailsapp directory with the necessary folders and files for development. Then add the Plivo Ruby gem (gem ‘plivo’, ‘~> 4.16.0’) as a dependency in the gemfile and use the command bundle install to install it.

Once you’ve installed Rails and the Plivo Ruby SDK, change to the newly created myrailsapp project directory and run rails generate controller Plivo voice to create a Rails controller to handle incoming calls on a Plivo number. To handle an incoming call, you need to return an XML document from the URL configured as the answer URL in the application assigned to the Plivo number. The Ruby SDK can manage the XML document generation, and you can use the Dial XML Element to forward the call to a mobile number. Use this code in the PlivoController class in app/controllers/plivo_controller.rb file:

class PlivoController < ApplicationController
  def forward
   response = Plivo::XML::Response.new
   dial = response.addDial()
   dest_number = "14153234567"
   dial.addNumber(dest_number)

   xml = Plivo::XML::PlivoXML.new(response)
   puts xml.to_xml
   render xml: xml.to_xml
 end 
end

Test the code locally

Add a route for the inbound function in the PlivoController class. Open the config/routes.rb file and add this line after the inbound route: get 'plivo/forward'. To run the code on the rails server, use the command rails server. You should see your basic server application in action on http://127.0.0.1:3000/plivo/forward/.

Expose the local server to the internet using ngrok

Once you see the application working locally, the next step is to connect the application to the internet to return the XML document to process the incoming call. For that, we recommend using ngrok, which exposes local servers behind NATs and firewalls to the public internet over secure tunnels.

Install ngrok, but before you start the ngrok service, whitelist ngrok by adding it to the config.hosts list in the config/environments/development.rb file with this command. You’ll face a Blocked host error if you fail to add it.

# whitelist ngrok domain
config.hosts << /[a-z0-9]+\.ngrok\.io/

Now run ngrok on the command line, specifying the port that hosts the application on which you want to receive messages (3000 in this case, as our local Rails application runs there):

$ ./ngrok http 3000

Ngrok will display a forwarding link that you can use as a webhook to access your local server over the public network.

Ngrok CLI

Test the link by opening the ngrok URL(https://2e16-49-206-115-248.ngrok.io/plivo/forward/) in a browser or HTTPie to check the XML response from the ngrok URL.

XML document with GetDigits XML element

Connect the Rails application to a Plivo number

The final step is to configure the application as a Plivo voice application and assign it to a Plivo number on which you want to receive incoming calls.

Go to the Plivo console and navigate to Voice > Applications > XML, then click on the Add New Application button in the upper right.

Provide a friendly name for the application — we used “App-call-forward” — and configure the ngrok URL https://2e16-49-206-115-248.ngrok.io/plivo/forward/ as the Answer URL. Select the HTTP verb as POST, then click Create Application.

Create Plivo App to Forward Incoming calls

Now go to Phone Numbers > Your Numbers and click on the number to which you want to assign the application. From the Plivo Application drop-down, choose the voice application you just created. Finally, click Update Number.

Assign the call forward Plivo App to a Plivo Number

Test the application

Make a phone call to the Plivo number you selected. You should see that the Rails application automatically forwards the call to the phone number configured in the call forwarding app.

And that’s how simple it is to receive an incoming call on a Plivo number and forward it using XML documents using Plivo’s Ruby SDK and a Rails application. You can implement other use cases on the Plivo Voice platform, such as phone system IVR, receive DTMF/Speech inputs, and number masking, as your business requires.

Haven’t tried Plivo yet? Getting started is easy and only takes five minutes. Sign up today.

Aug 26, 2021
5 mins

How to Add Two-Factor Authentication to a Python Flask Application with Plivo

Plivo's SMS API and Voice API enables businesses to communicate with their customers at global scale. Sign up for free now.

PHLO
Python SDK
SMS API
Voice API
How To

Two-factor authentication (2FA) can play a key role in securing your applications against password data breaches. Authentication with a one-time password (OTP) delivered to your users over SMS is an effective approach to implementing two-factor authentication. Plivo’s premium direct routes guarantee the highest possible delivery rates and the shortest possible delivery times for your 2FA SMS messages. In this blog post, we walk you through a sample implementation of 2FA using the Plivo SMS platform and PHLO, our visual workflow builder.

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Prerequisites

Before you get started, you’ll need:

  • A Plivo account — sign up for one for free if you don’t have one already.
  • An SMS-enabled Plivo phone number to send messages to the US and Canada. To search for and rent an available number, go to Phone Numbers > Buy Numbers on the Plivo console.
Buy a New Plivo Number

Create a PHLO to send OTP via SMS

PHLO lets you construct your entire use case and build and deploy workflows visually. With PHLO, you pay only for calls you make and receive, and building with PHLO is free.

To get started, visit PHLO in the Plivo console and click on Create New PHLO. A pop-up window gives you a list of prebuilt templates to start with. Choose Two-Factor Authentication and click Create Application to create a PHLO with the prebuilt components to build a workflow that can manage sending the OTP via SMS, with failover to use a phone call to deliver the OTP as a text-to-speech (TTS) message.

Use the PHLO in a Flask application

We have a demo application available for this in our GitHub repository that you can clone to see how the implementation works.

  • Clone the repository from GitHub.
$ git clone https://github.com/plivo/2fa-python-demo.git
  • Change your working directory to 2fa-python-demo.
$ cd 2fa-python-demo
  • Install the dependencies using the requirements.txt file.
$ pip install -r requirements.txt
  • Edit the settings.py file. Replace the PLIVO_AUTH_ID, PLIVO_AUTH_TOKEN, PLIVO_NUMBER, and PHLO_ID placeholders with your own values.
Configuration file

Note: Enter your phone number in E.164 format.

Generate the OTP

Generate an exclusive six-digit authentication code. To create the OTP, use the time-based OTP generation algorithm. Here’s how it’s done in Python.

def generate_code(self):
    code = random.choice(range(100000, 999999))  # generating 6 digit random code
    return code

Send OTP via SMS or a phone call

A single function helps us to trigger the PHLO to send SMS messages and make calls; the rest of the work is done by PHLO. Use the mode argument to tell PHLO whether to trigger a call or an SMS message by passing the value “sms” or “call.”

def send_verification_code_phlo(self,dst_number,code,mode):
    payload = {
        "from": self.app_number,
        "to": dst_number,
        "otp": code,
        "mode": mode,
    }
    try:
        phlo = self.client_phlo.phlo.get(self.phlo_id)
        response = phlo.run(**payload)
        return response
    except exceptions as e:
        print(e)
        return ("Error encountered", 400)

Verify the OTP

After the user enters the OTP they received on their handset, this Python code verifies it.

@app.route("/verify/<number>")
    def verify(number):
        """
        verify(number) accepts a number and initiates verification for it.
        """
        try:
            code = current_app.p2fa.generate_code()
            if app.config["PHLO_ID"] == "":
                {
                    current_app.p2fa.send_verification_code_sms(
                        number,
                        f'Your verification code is "{code}".
                        Code will expire in 1 minute. ',
                    )  # String should be less than 160 chars
                }
            else:
                {current_app.p2fa.send_verification_code_phlo(number, code, "sms")}
            current_app.redis.setex(
                "number:%s:code" % number, 60, code
            )  # Verification code is valid for 1 min
            return jsonify({"status": "success", "message": "verification initiated"})
        except:
            return ("Error encountered", 400)
    

Test

To run the application, start Redis using the redis-server command. Start Flask, the Python web framework module, by typing flask run. Flask will display the URL and port number on which it’s running. Click on that link to run the sample application in your browser.

On the browser page, choose your country and enter your mobile number, then click on Send Verification Code. Check your mobile phone — you should get an SMS message with an OTP code. Enter the code in the browser form and click Verify, and the application will confirm that you’re verified.

What if you don’t get the SMS message you were expecting, or you wait too long to enter the value you received? The application gives you a link so you can use a phone call as a fallback OTP channel. Click on “Didn’t receive sms? Call me.” You should then receive a call, and when you answer it, you’ll hear a text-to-speech message that gives you an OTP code, which you can use in the form for verification.

Simple and reliable

Edit the sample application to see how simple it was to code. Our simple APIs work in tandem with our comprehensive global network. Plivo’s premium direct routes guarantee the highest possible delivery rates and the shortest possible delivery times for your 2FA SMS and voice messages. See for yourself — sign up for a free trial account.

Aug 24, 2021
5 mins

How to Build a Voice-controlled Virtual Assistant (IVR) in Java Using Spring Boot and Plivo

Plivo's SMS API and Voice API enables businesses to communicate with their customers at global scale. Sign up for free now.

Java SDK
Voice API
How To
IVR

A virtual assistant can help your business if you have clients who call your phone number. Interactive voice response (IVR) helps you to automate call reception by routing callers to the most appropriate department or the agent most qualified to meet their needs. Among its many advantages, IVR can provide increased operational efficiency, a stronger brand image, and better customer insights.

A voice-controlled virtual assistant is one step ahead of the legacy Touch-Tone/DTMF controlled one because of the flexibility it allows end-users. They can just speak into their phone’s microphone to provide input to control the call.

Building a voice-controlled virtual assistant using Plivo’s automatic speech recognition (ASR) feature in Java using Spring Boot is simple. This guide shows you how to set up a voice-controlled IVR phone tree to a Plivo number and manage the call flow when the call reaches the Plivo voice platform. To see how to do this, we’ll build a spring boot application to receive an incoming call and use the GetInput XML element to capture speech input and implement a simple IVR phone system.

Prerequisites

Before you get started, you’ll need:

  • A Plivo account — sign up for one for free if you don’t have one already.
  • A voice-enabled Plivo phone number if you want to receive incoming calls. To search for and buy a number, go to Phone Numbers > Buy Numbers on the Plivo console.
Buy a New Plivo Number
  • Sprint Boot and Plivo Java packages — use the Spring Initializr to create a demo project with boilerplate code.
  • ngrok — a utility that exposes your local development server to the internet over secure tunnels.

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How it works

Receive Speech Inputs

Create a spring boot application to create a voice-controlled virtual assistant

Once you’ve created the Spring Boot application using Spring Initializr, you can add the Plivo Java SDK using Maven or Gradle, or Groovy as per the interface selected. Update the Java application in the created project to handle incoming calls on a Plivo number. To handle an incoming call, you need to return an XML document from the URL configured as the Answer URL in the application assigned to the Plivo number. The Java SDK can manage the XML document generation, and you can use the GetInput XML element to capture speech inputs and implement a simple IVR phone system. Use this code:

        
package com.example.VirtualAssistant ;

    import com.plivo.api.exceptions.PlivoValidationException ;
    import com.plivo.api.exceptions.PlivoXmlException ;
    import com.plivo.api.xml.* ;
    import com.plivo.api.xml.Number ;
    import org.springframework.boot.SpringApplication ;
    import org.springframework.boot.autoconfigure.SpringBootApplication ;
    import org.springframework.web.bind.annotation.* ;
    
    import javax.servlet.http.HttpServletRequest ;
    
    @SpringBootApplication
    @RestController
    public class VirtualAssistantApplication {
        public static void main (final String [] args ) {
            SpringApplication .run (VirtualAssistantApplication .class , args );
        }
    
        // Welcome message - firstbranch
        String welcomeMessage = "Welcome to the demo app, Say Sales to talk to our Sales representative. Say Support to talk to our Support representative" ;
        // This is the message that Plivo reads when the caller does nothing at all
        String noInput = "Sorry, I didn't catch that. Please hangup and try again later." ;
        // This is the message that Plivo reads when the caller inputs a wrong digit.
        String wrongInput = "Sorry, it's a wrong input." ;
    
        @GetMapping (value = "/virtual_assistant/" , produces = {
            "application/xml"
        })
    
        public Response getInput (HttpServletRequest request ) throws PlivoXmlException , PlivoValidationException {
            String hostName = request .getRequestURL ().toString ();
            final Response response = new Response ().children (
                    new GetInput ().action (hostName + "firstbranch/" ).method ("POST" )
                    .interimSpeechResultsCallback (hostName + "firstbranch/" )
                    .interimSpeechResultsCallbackMethod ("POST" ).inputType ("speech" ).redirect (true )
                    .children (new Speak (welcomeMessage )))
                .children (new Speak (noInput ));
            System .out .println (response .toXmlString ());
            return response ;
        }
    
        @RequestMapping (value = "/virtual_assistant/firstbranch/" , produces = {
            "application/xml"
        }, method = RequestMethod .POST )
        public Response firstbranch (HttpServletRequest request , @RequestParam ("Speech" ) final String speech ,
            @RequestParam ("From" ) final String fromNumber ) throws PlivoXmlException , PlivoValidationException {
            System .out .println ("Speech Input is:" + speech );
            String hostName = request .getRequestURL ().toString ();
            final Response response = new Response ();
            if (speech .equals ("sales" )) {
                response .children (
                    new Dial ().callerId (fromNumber ).action (hostName + "action/" )
                    .method ("POST" ).redirect (false ).children (new Number ("<number_1>" )));
            } else if (speech .equals ("support" )) {
                response .children (
                    new Dial ().callerId (fromNumber ).action (hostName + "action/" )
                    .method ("POST" ).redirect (false ).children (new Number ("<number_2>" )));
            } else {
                response .children (new Speak (wrongInput ));
            }
            System .out .println (response .toXmlString ());
            return response ;
        }
    }
    
        

Test the code locally

Save the file and run the application. You should see your basic server application in action on http://localhost:8080/virtual_assistant/.

Expose the local server to the internet using ngrok

Once you see the application working locally, the next step is to connect the application to the internet to return the XML document to process the incoming call. For that, we recommend using ngrok, which exposes local servers behind NATs and firewalls to the public internet over secure tunnels.

Install it and run ngrok on the command line, specifying the port that hosts the application on which you want to receive calls (8080 in this case, as our local spring boot application is running there):

$ ./ngrok http 8080

Ngrok will display a forwarding link that you can use as a webhook to access your local server over the public network.

Ngrok CLI

Test the link by opening the ngrok URL(https://46a4-49-206-115-248.ngrok.io/virtual_assistant/) in a browser or HTTPie to check the XML response from the ngrok URL.

XML document with GetDigits XML element

Connect the spring boot application to a Plivo number

The final step is to configure the application as a Plivo voice application and assign it to a Plivo number on which you want to activate the voice-controlled virtual assistant.

Go to the Plivo console and navigate to Voice > Applications > XML, then click on the Add New Application button in the upper right.

Provide a friendly name for the application — we used “App-Virtual-Assistant” — and configure the ngrok URL https://46a4-49-206-115-248.ngrok.io/virtual_assistant/ as the Answer URL. Select the HTTP verb as POST, then click Create Application.

Create Plivo App for voice-controlled IVR MVC app

Now go to Phone Numbers > Your Numbers and click on the number to which you want to assign the application. From the Plivo Application drop-down, choose the voice application you just created. Finally, click Update Number.

Assign Virtual-Assistant Plivo App

Test the application

Make a phone call to the Plivo number you selected. You should see that the VirtualAssistant spring boot application automatically routes the call to the Sales and Support departments based on the speech inputs received on the call.

And that’s how simple it is to set up a voice-controlled virtual assistant on a Plivo number and handle it using XML documents using Plivo’s Plivo’s Java SDK and a spring boot application. You can implement other use cases on the Plivo Voice platform, such as phone system IVR, call forwarding, and number masking, as your business requires.

Haven’t tried Plivo yet? Getting started is easy and only takes five minutes. Sign up today.

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