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Last updated on: September 27, 2024

How to create a chatbot

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This AI generated Text-to-Speech widget generated by Reverie Vachak.

Why Business Needs a Multilingual Chatbot and How to Create it

A customer lands on your website, needs quick answers, and is instantly greeted by an AI-powered chatbot offering personalised assistance. According to a Gartner study, the global virtual assistant market is projected to drive 24% growth in 2024, marking it as the fastest-growing segment in the contact centre forecast. As customer expectations for real-time support grow, chatbots are now essential for automating tasks, capturing leads, and enhancing user engagement. 

Even if you lack technical expertise, modern AI platforms empower you to build a fully functional chatbot with ease. This blog elucidates the step-by-step process of building an AI chatbot, helping you optimise operations and create meaningful customer interactions without any coding required.

Chatbots: A Smart Move for Every Business

Chatbots have evolved from being exclusive to large corporations into essential tools for businesses of all sizes. They handle large volumes of inquiries, boost lead generation, and drive customer engagement- all without heavy resource investment. Among the types of chatbots available: rule-based chatbots, AI-powered chatbots, and hybrid chatbots, each offer unique advantages that can help businesses scale and compete effectively. 

In the following, we will highlight what sets them apart and makes a chatbot must-have for businesses:

  • Slash Costs, Boost Efficiency- Chatbots can manage multiple customer enquiries simultaneously, automating repetitive tasks like answering FAQs and order tracking. This reduces the need for large customer service teams, resulting in significant cost savings while maintaining 24/7 availability.
  • Tailored Conversations, Every Time- AI-powered chatbots provide contextual, personalised experiences by analysing customer behaviour and preferences. This allows businesses to offer tailored recommendations and responses, enhancing user satisfaction and engagement.
  • Turn Conversations into Conversions- Chatbots can qualify leads by asking relevant questions and guiding customers through the sales funnel. With real-time responses, they help capture opportunities at crucial moments, boosting conversion rates.

How to Build a Chatbot: Step-by-Step Guide

Chatbots have moved beyond being a tech trend- gently they are transforming how businesses connect with their customers in real-time. A well-designed chatbot can instantly greet visitors with prompts like: “Hi, how can I help you find the perfect solution today?” By doing so, it captures attention and engages users right from the start, leading to meaningful interactions.

Find out the stepwise guide that will walk you through the process of chatbot development that delivers tangible business results:

Step 1: Defining Your Chatbot’s Purpose

Before jumping into building, it’s essential to define why your business needs a chatbot. Is it for customer service, lead generation, or streamlining internal processes? Each purpose requires different functionality, so clearly outline what you want the bot to achieve.

  • Having a specific goal ensures that your chatbot delivers real business value.

Tips:

  • Customer Support: Focus on answering FAQs and automating repetitive queries.
  • Lead Generation: Build conversational flows that capture user information and qualify leads.
  • Internal Efficiency: Automate workflows, like appointment scheduling or inventory checks.

Step 2: Getting to Know Your Audience

Understanding your target audience is essential for creating an effective chatbot. Who are your customers, and what are their common needs? A chatbot that caters to your audience’s preferences will create smoother, more personalised interactions.

  • By aligning your chatbot with the needs and behaviours of your audience, you’ll improve engagement and satisfaction.

Tips:

  • Identify customer pain points: What are the most frequent issues or questions your customers face?
  • Map out user journeys: Consider the various stages your customers go through, from browsing to purchasing or requesting support.
  • Create user personas: These help you tailor the chatbot’s tone, language, and conversation flows to match your customers’ expectations.

 

Step 3: Choosing the Right Platform

The platform you choose will determine how easily you can build and deploy your chatbot. For businesses looking for a versatile, AI-driven solution, IndoCord is an excellent consideration. IndoCord offers dynamic chatbot creation, with multilingual capabilities that allow companies to engage customers in their preferred language- whether text or voice.

  • Platforms that offer AI capabilities and allow for customisation without complex coding.

Tips:

  • Smooth Integration: Ensure the platform integrates with your existing systems (CRM, eCommerce platforms, etc.).
  • Look for Scalability: Your chatbot should be able to handle increasing volumes of interactions as your business grows.

Step 4: Designing Your Chatbot’s Conversation Flow

A well-designed conversation flow is essential to making your chatbot efficient and user-friendly. It ensures that users can interact with the bot smoothly, without getting stuck or frustrated. Mapping out how users engage with the bot allows you to create a clear path for them to get the information they need quickly and easily.

 Tips:

  • Start Simple: Begin by addressing the most common questions or issues, then expand the conversation paths as you gather data from users.
  • Think Like Your Customers: Identify what’s the end goal of your user. Whether it’s booking a service, answering a query, or guiding them to a purchase, ensure the bot leads them there smoothly.
  • Use Decision Points: Implement buttons or options that guide users toward the next step. This minimises the chance of confusion and keeps conversations on track.

Step 5: Adding Multilingual Support for Better User Experience

As businesses expand, catering to customers in their preferred languages becomes essential. Offering multilingual support in your chatbot allows you to engage with customers in their preferred language, making their experience more comfortable and personal. In fact, a research found that 76% of online shoppers prefer to buy products with information in their native language. This is especially important if your business operates in regions with diverse languages, as it enhances engagement and customer satisfaction.

 

  • Providing a seamless, native-language experience helps build trust and makes interactions feel more personalised and accessible.

For instance, a customer from Delhi visits your website, and the chatbot greets them in Hindi with “नमस्ते! हम आपकी कैसे मदद कर सकते हैं?” based on their browser settings, with an option to switch to English, ensuring a personalised experience.

Tips:

  • Automate Language Detection: Use IP-based recognition, and browser settings, or offer users the option to choose their language at the beginning of the conversation.
  • Ensure Consistent Messaging: While the language may change, your brand’s tone and message should remain consistent across all languages.
  • Target the Right Languages: Identify the primary languages spoken by your audience and focus on supporting those to maximise engagement.

Step 6: Training Your Chatbot for Smarter Interactions

A chatbot isn’t a static tool. Training your chatbot regularly is essential to improving its accuracy and effectiveness. By using machine learning and real user data, you can make your chatbot smarter over time, allowing it to handle more complex queries with ease.

  • Continuously refining the chatbot based on user interactions ensures that it evolves to provide more relevant and accurate responses.

 Tips:

  • Start with Real Conversations: Use real customer interactions to build and train your chatbot, ensuring it learns from actual conversations.
  • Update Regularly: A chatbot’s learning doesn’t stop at launch. Regularly update its knowledge base and conversation paths based on new customer feedback and business needs.
  • Monitor and Improve: Keep track of areas where the chatbot struggles to respond correctly and fine-tune its responses to ensure continuous improvement.

Step 7: Personalising the Bot’s Tone and Voice

When users interact with your chatbot, they should feel like they’re communicating with a helpful, approachable representative of your brand. Defining your bot’s tone and voice ensures that it mirrors your brand’s personality and connects better with your audience.

  • Personalising the voice makes the chatbot feel more like a helpful guide than a scripted tool.

For example, in a financial institution, the chatbot can be personalised in a formal tone like “Hello, how can I assist you with your account today?”

Tips:

  • Align with Your Brand: If your brand is formal, keep the bot’s responses professional. If your brand is fun and casual, add elements like emojis or humour where appropriate.
  • Adjust for Your Audience: Consider who is interacting with your bot. A conversational tone might work well for young audiences, while an instructional tone may suit businesses.
  • Consistency is Key: Ensure the bot’s tone remains consistent across all interactions, regardless of the type of query.

Step 8: Testing and Refining Your Chatbot

Once your chatbot is live, the work doesn’t stop there. Testing how the bot interacts with users in real-world situations is crucial. Regularly refine its capabilities based on user feedback and performance data to ensure it continues to deliver value.

 Tips:

  • A/B Testing: Try out different conversation flows and see which one works best.
  • Collect Feedback: Ask users for feedback after their interactions to learn where the bot can improve.
  • Continuous Updates: Regularly review and update the bot’s responses based on new trends, products, or customer needs.

Why IndoCord is Your Best Bet for Building a Smarter, Multilingual Chatbot

For businesses looking to scale across regions with diverse linguistic landscapes, IndoCord offers a powerful, adaptable solution. Developed by Reverie, IndoCord is designed to streamline customer interactions across multiple languages, ensuring inclusivity and engagement at every touchpoint. Here’s why IndoCord stands out as your best bet for building a smarter, multilingual chatbot:

  • Multilingual Support at Scale- IndoCord excels at managing interactions in multiple languages, whether through text or voice, ensuring smooth communication across diverse markets. This inclusivity allows businesses to connect with regional customers more effectively.
  • Cost-Efficient and Scalable- Rather than hiring multilingual teams, IndoCord automates multilingual communication. This significantly reduces costs while providing scalability for growing businesses.
  • Enhanced Customer Experience- IndoCord’s Natural Language Understanding (NLU) ensures contextual, culturally relevant conversations. It increases customer satisfaction by making every interaction feel personal and meaningful.
  • Easy Integration and Customisation- With IndoCord, businesses can integrate and customise chatbot workflows effortlessly. This adapts to real-time changes and customer needs without disrupting operations.

Chatbot Journey Starts Now

To truly connect with customers in the linguistically diverse markets of India, businesses need more than just automation. It demands intelligent, multilingual chatbots that can adapt to different languages and cultural nuances. IndoCord offers the ideal solution for businesses looking to enhance customer engagement, streamline support, and scale globally without sacrificing personalisation. 

Book a personalised demo and discover how IndoCord can transform your customer interactions and drive growth.

FAQs

Why should my business invest in a multilingual chatbot?

A multilingual chatbot enables your business to engage with a diverse customer base, providing personalised support in their preferred language. This improves customer satisfaction, expands your reach, and helps build trust with users across different regions.

How does IndoCord help in building smarter chatbots?

IndoCord integrates AI-driven technology and Natural Language Understanding (NLU) to create chatbots that can understand and respond contextually in multiple languages. It ensures smooth, accurate communication, continuously improving interactions through machine learning.

Can I build a chatbot without coding skills using IndoCord?

Yes, IndoCord offers a user-friendly, no-code interface, allowing you to build and deploy chatbots easily without any coding knowledge. It’s designed for both technical and non-technical users, making it accessible for businesses of all sizes.

How does IndoCord handle customer queries in different languages?

IndoCord’s advanced multilingual support allows chatbots to detect the user’s preferred language automatically or through selection. It not only translates but also localises the conversation to ensure it’s contextually relevant and culturally appropriate.

How do I create a chatbot with IndoCord for my business?

You can start by booking a personalised demo to explore IndoCord’s features and see how it fits your business needs. The demo will walk you through how to develop a chatbot and showcase how it can enhance customer engagement.

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