Not sure how to create a chatbot that engages and converts? 

Well, you aren’t sailing the boat alone. The chatbot developers working with us often come across similar questions. They integrate chatbots with businesses to satiate business needs and engage more customers. Since the digital arena was created, chatbots have been a part of it and evolved technologically to enable businesses to offer top-notch user experience. 

A Chatbot is your virtual salesperson, engaging, conversating, and converting your visitors. If your digital solution doesn’t have a chatbot yet, you lag far behind your competition. A custom-tailored chatbot adds credibility, makes users heard, and adds user experience. 

The chatbot developers share a guide on how to build a chatbot and the benefits it brings. But before we explore the how and why, let’s look at the numbers to understand the role of these pop-ups on your screen. 

Chatbot Market Overview

If you are looking forward to integrating a personalized chatbot with your business, here are a few numbers to convince you. 

  • By 2026, the chatbot market is estimated to reach $10.08 billion globally. 
  • Around 84% of companies see personalized AI chatbots as the major customer communication channel in the coming future. 
  • It is expected that in a couple of years, estimated by 2027, chatbots will be the major customer support channel for at least a quarter of companies. 
AI chatbot development stats
  • Chatbots have brought around 67% business growth. 
  • Around 58% of companies in the B2B sector are using chatbots actively. 
  • With 69% of users satisfied with their last conversation with the chatbot, the efficiency and accuracy can be easily guessed!

Why Build a Chatbot for Your Business?

Before we discuss how to create a chatbot for your business, let’s explore how significantly your business can grow by deploying AI chatbots in its operations. 

The End User Gets All the Attention 

Chatbots act as the salesperson in your business, catering to the needs and queries of your customers. To offer your users 24/7 assistance in real-time leverage chatbots. As the chatbot interface is readily available to your customers with your business app/website, the wait time for the response is none. Thus, your customers can get the initial information and solution to their queries (elevating user experience). To make your business a success, you need to make your customers feel heard and appreciated. Connect with expert AI chatbot developers and discuss how to make an AI chatbot that serves your business well. 

Traditional chatbots have some limitations, as they respond only to a certain set of queries. Developers build AI chatbots that can process more data and pick answers relevant to the queries with significant matches. 

Create AI Chatbots for Personalized User Experience

“How do you like your coffee, ma’am?”

Dark with little sugar!

And you’re served what you asked for. Great right? 

What if you were given a regular coffee like everyone else? You would probably not revisit the place. 

Offering a personalized relationship to your end users is no longer the luxury of your business but the need of the hour. Advanced technology has made understanding user behavior and offering custom services necessary for businesses. Our chatbot developers create chatbots that have customer experience at its core. 

These AI chatbots offer personalized and longer conversations, prioritizing the customer’s needs to deliver the best solutions.

Leverage Data for Effective Communication 

“Spend a lot of time talking to customers face-to-face. You’d be amazed how many companies don’t listen to their customers.”

Ross Perot

(CEO Electronic Data Systems & Perot Systems)

Chatbots have proven to be a great way to attend and connect with your customers in real time. With various mediums like polls, quizzes, and general interactions, chatbots can help you gather information on customer behavior and preferences. Big data analytics can further help you process and analyze the information to offer tailored services to your customers. With advanced AI chatbots, you can study your customers’ purchasing patterns, preferences, basic browsing patterns, etc. Implement the data to make critical business decisions and accelerate your marketing. 

Coax Conversions with Comprehensive Lead Generation

When chatbot developers brainstorm how to make a chatbot that suits your business needs, they consider implementing technology to collect and process user data to persuade them to take services from the business. With compelling conversation and alluring services, chatbots can turn your visitors into potential customers. 

AI chatbot developers create solutions where your chatbot doesn’t just respond to your customers but helps them in their buyer journey, thus enhancing conversions and driving sales. 

In case of troubles or reporting issues, chatbots can offer initial mitigation like discounts and rewards. To boost your conversion rates and offer whelming customer satisfaction, deploy an AI Chatbot that listens to your customers. Enhance customer retention, offer personalized solutions, and build brand loyalty with the right Chatbot by your side. 

Engage Your Resources Better to Save Costs

If you’re new to the market, developing and deploying a highly effective and functional chatbot can earn you better profits than other marketing and sales channels. As you share your business size and goal while discussing how to build a chatbot for your business, our development team can suggest a tech stack that won’t hurt your pockets but would create a high-performing AI chatbot. You can engage your human resources in other scaling activities, as the chatbot is your perfect virtual assistant. 

You can only hire one staff to handle multi-lingual aspects, as your chatbot can handle it.

And yes, your AI chatbot will help you upscale your business with the least possible expenses if you plan how to make an AI chatbot and what features it must include. 

Now that we understand creating an AI chatbot is no longer an extra expense but a necessity for your business, let’s pick the right chatbot type to cater to your needs.

Also Read: Understanding Generative AI in Detail

Types of Chatbots to Cater to Your Business Needs

How to build a Chatbot

When you connect with our experts to understand how to create a chatbot, they want to know the type of chatbot you need, the functions you expect it to perform, the features, traffic engagement, etc.

Some of the common types our chatbot developers work on are listed here. 

Rule-based Chatbots

These traditional chatbots function according to scripts defining their behavior and responses. They work on keyword-matching algorithms and thus can’t answer queries beyond their scope. Rule-based chatbots have seen changes in their implementation and use cases over the years. 

Examples of Rule-Based Chatbots 

  • Amazon Complaint Bot 
  • Zomato Complaint Bot 

Task-Oriented Chatbots

Chatbots are developed to perform specific tasks such as booking appointments,  scheduling meetings, making reservations, or offering customer support. They have a basic functioning model designed to respond to certain queries.   

Examples of Task-Based Chatbots 

  • Travel Assistance Chatbots 
  • Finance Management Chatbots 
  • Reservation Booking Chatbots 
  • Personal Assistance Chatbots 

Generative Chatbots

These chatbots work on a Generative AI model rather than picking responses from their database. Users get fresh, interactive replies instead of the same repetitive answer. These chatbots are adaptable and can offer interactive conversations to the users. The chatbot developers associated with us can build chatbots capable of learning and responding to the users. 

Conversational Chatbots 

We all need someone to talk to sometimes. Why not enter the market with a conversational chatbot that can offer users company and empathy? Over the years, developers have figured out how to develop chatbots to offer a personalized conversation experience to users. Conversational chatbots are designed to mimic human conversations and help users calm their anxiety or have casual chit-chats. 

Examples of Conversational Chatbots 

  • Google’s Meena 
  • Microsoft’s Xiaolec
  • Mitsuku

Conversational chatbots have played a significant role in taking care of the mental health of human life. 

How to Develop Chatbot with Interactive Components? 

As easy as it may seem to give a command to a chatbot and get the desired result, the actual work is much more complex in the backend. An AI chatbot’s workings have numerous technologies and components backing it. Let’s take a look at those components!

AI Chatbot Development Components

To develop a chatbot that reflects the goal of integrating it two components play significant roles. 

  1. UI Components 
  2. Functional Components

The UI Components: Making It Easier for the Users to Interact 

It is the face of your chatbot. The end is where the user interacts. When you discuss with your chatbot developers how to develop an AI chatbot, remember to discuss the slightest details like where to put the buttons, the size of the text box, various fields, etc. 

  • Everything related to what a user sees and experiences comes in UI components. Thus, your chatbot developers would look into the following aspects:
  • Placement of buttons, look of the text boxes, field included, engagement cue, etc. 
  • Include interactive animations, clear navigation, and anything that may entice the user.
  • The responses and the conversation pattern are vital points to discuss with your chatbot developers. Font style and size play a significant role here. 

A chatbot that offers healthcare services can not have a comic font with a small size font. Similarly, kids’ websites can’t be uninteresting robot-like text.  When you talk to your team about how to develop a chatbot, consider your target audience and what would allure them. 

Recommended Read: How to Develop AI Mental Health Assistant App

The Functional Components: Enhancing Engagement with Advanced Technology

The functional components that your AI chatbot developer is basically what happens behind the screens. **wink **wink**

This talks about the technology behind how to build chatbots for websites or apps. 

  • NLP: Natural Language Processing and Generative AI identify if the user inputs are text or voice. Developers create chatbots using natural language processing for most projects as voice search is gaining popularity.
  • Machine Learning: This is the backbone of your chatbot. The technology trains the chatbot to generate responses according to users’ inputs. Experts create supervised and unsupervised learning models for an effective chatbot. 
  • Knowledge Base: Information plays a significant role in chatbot automation. The knowledge base can include information, FAQs, details, etc.
  • Dialogue Management: An important aspect of chatbot development methodology is identifying the context of the conversation and managing its flow. 

How to Build Chatbot from Scratch

The proficient chatbot developers at Octal IT Solution share a basic guide with all the steps to help you understand how to build a chatbot from scratch. 

Know For Who You Are Creating Your Chatbot 

Understand who you are connecting to and what conversations are expected. Before you discuss how to create a chatbot, discuss who you are creating a chatbot for. Your target determines many factors of your chatbot, like text style, size, animations, technology, etc. 

You can get a chatbot with no restrictions that are easy to use by all your users for your solution by partnering with proficient app developers. Knowing your audience would help you decide what type of chatbot you’d need. 

Plan the Chatbot Development Methodology

Now that you have defined your audience, the next thing is to define the scope, tools to be used, conversation flow, features, etc.

Discuss with your team the questions your chatbot must address and how it would respond. To ensure your users don’t abandon in the middle, check the flow of the conversation. 

Pick the right tools and technologies to create your chatbot. Our chatbot developers use Python, Javascript, and other common languages. 

The frameworks they trust are Dialogflow, IBM Watson Assistant, Amazon Lex, etc.

Define the Aesthetics of Your Chatbot

User experience plays an important role in any solution. When discussing how to make a chatbot, consider its aesthetics with the team. Where on the screen do you want it to pop up, how it may appear, what colors are used, how can it identify with your brand, etc.? 

The AI chatbot you create must reflect your brand identity on the screen instead of just being a popup on your screen. 

Develop the Backend of the Chatbot

The backend of your chatbot orchestrates all its functions and responses. The algorithm is pivotal in receiving messages and interpreting and generating custom responses. 

The programming languages our experts use for deciphering inputs for accurate responses are Python, frameworks such as Google Dialogflow, and platforms like Chatfuel.

Create Chatbot Using Natural Language Processing

NLP and ML play a significant role when discussing how to develop AI chatbots. 

The AI chatbot developers use the technologies to utilize your chatbot effectively.  

Natural Learning Processing ensures the accurate interpretation of the conversation using Sentiment Analytics. 

Machine learning helps chatbots evolve using data analytics. As much as the data the chatbot processes over time, the proficiency and responsiveness are enhanced. Techniques like neural networks, decision trees, and reinforcement learning are integrated to improve the learning capabilities of your AI chatbot.   

Chatbot Integration with Website

Integrate your chatbot with the systems you want to respond to, such as CRM, email marketing systems, e-commerce, etc. The database is built when the conversation between the bot and the customer is recorded. 

This helps you analyze the details. 

Review Your Chatbot Performance 

If your chatbot’s performance meets your expectations, you can deploy it for your audience and notice its performance and working. You can use servers, the cloud, or any chatbot development platform to deploy the chatbot. 

No matter what medium you use, they have pitfalls and benefits. 

Our chatbot developers integrate analytics tools with your solution to track and analyze its performance, user satisfaction, responses, and other bottlenecks. 

Iterate and Update 

Based on the analysis in the review step, you can connect with the chatbot development team to iterate your solution and update your chatbot to fit your needs. 

As you discuss with your development team how to create chatbots, discuss the post-deployment services they can offer. 

Recommended Read: How to Build a Chatbot Business Model?

How to Create Chatbot That Conversates: Required Tech Stack

Required Tech Stack

The AI chatbot developers working with us have integrated chatbots with many international businesses and use their experience and expertise to deliver highly efficient chatbots.

The basic tech stack, that our experts use is:  

Programming Languages

  • Python
  • Java
  • JavaScript
  • Clojure
  • PHP

Chatbot Development Frameworks to Create Chatbot

  • Google Dialog Flow
  • Microsoft Bot Framework
  • Amazon Lex
  • BotKit
  • Rasa SDK

Mobile App Development Frameworks to Develop Chatbot

  • React Native
  • Flutter
  • Android Studio
  • iOS SDK
  • APIs

OpenAI’s ChatGPT

  • Whisper API
  • Dashbot

Backend Frameworks to Build Chatbot

  • Botpress
  • NodeJs

Conclusion about How to Build Chatbot

This is a well-defined blog on how to develop a chatbot. If you are looking to offer your users uninterrupted customer services, where they can connect with you and enjoy your conversations, then partner with the AI chatbot development team at Octal IT Solution, Today!

Managing Director

Arun G Goyal is a tech enthusiast and experienced writer. He's known for his insightful blog posts, where he shares his expertise gained from years in the tech industry. Arun shares his knowledge and insights through engaging blog posts, making him a respected figure in the field.

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