In the digital transformation era, businesses constantly seek innovative ways to enhance customer engagement and streamline their operations. Among the technological advancements that have gained immense popularity is chatbot development. These intelligent virtual assistants reshape customer service, sales, and marketing landscapes, providing round-the-clock support, personalized experiences, and cost-effective solutions.

In this article, we delve into the:

  • Benefits of using chatbots for various industries
  • Understanding when to use ready-made or custom software
  • Intricacies of chatbot development.

Whether you're a business professional, developer, or simply curious about the chatbot revolution, this article serves as a comprehensive guide to navigating the realm of chatbot development. Enjoy reading!

Why your business needs a chatbot

Chatbots come in various forms and can play a vital role in engaging, assisting, and communicating with both current and prospective customers. They can interact with online users across multiple digital channels, including brand websites, social media platforms, messaging apps, and SMS. With advancing conversational AI capabilities, chatbots can handle various tasks, from offering product recommendations to providing post-purchase support.

According to the report published by the Grand View Research, the global chatbot market was valued at about USD 5,132.28 million in 2022. It is expected to grow at a CAGR of 23.3% during  2023 to 2030. The increasing acceptance of the concept of customer service and the reduction of operating costs are some of the factors that are expected to drive the market's growth.

The benefits of implementing chatbots in your business are significant, particularly in the realms of customer service, support, and engagement throughout the customer journey.

Let's explore six key ways in which chatbots can help your business achieve its goals:

  1. Seamless customer service — provide instant and consistent customer support, promptly addressing their queries and concerns. This ensures a seamless customer service experience, irrespective of the time or channel of communication.

  2. Personalized assistance — by analyzing user data and preferences, chatbots can deliver personalized recommendations and tailored solutions to customers. This level of customization enhances the customer experience, leading to increased engagement and satisfaction.

  3. 24/7 availability — unlike traditional customer service representatives, chatbots are available round the clock. They can handle customer inquiries at any time, improving response times and ensuring customers receive timely assistance, even outside regular business hours.

  4. Scalability and efficiency — excel at managing a large volume of conversations simultaneously, making them highly scalable. They streamline customer interactions, reducing wait times and increasing operational efficiency, all while maintaining service quality.

  5. Lead generation and conversion — engage with potential customers, qualifying leads, and guiding them through the sales funnel. By providing relevant information, answering questions, and offering personalized recommendations, chatbots help in converting prospects into loyal customers.

  6. Data collection and insights — through interactions with customers, chatbots can gather valuable data and insights. This data can be utilized to understand customer preferences, identify trends, and optimize marketing and sales strategies.

  7. Team cost saving — while a support team comprising real individuals remains necessary, their role primarily focuses on handling complex and personalized situations, allowing chatbots to handle routine inquiries efficiently.

Chatbots have found widespread adoption across industries due to their versatility and wide range of applications. Some common use cases include:

  • Customer support
    Chatbots handle a significant volume of customer inquiries and provide instant responses. They can assist customers with frequently asked questions, troubleshooting, product information, and order tracking, improving customer satisfaction and reducing support costs.
  • Lead generation and qualification
    By engaging with website visitors or social media users, chatbots collect user information, qualify leads, and guide potential customers through the sales funnel. They provide personalized recommendations and gather valuable insights for sales and marketing teams.
  • E-commerce and product recommendations
    Chatbots can assist customers in finding products, making purchases, and answering questions about availability, pricing, and shipping. With the ability to analyze user preferences and purchase history, they offer tailored recommendations, increasing upselling and cross-selling opportunities.
  • Appointment scheduling and booking
    To streamline appointment scheduling processes by allowing customers to book services or make reservations directly through chat interfaces. They check availability, provide confirmation details, and send reminders, reducing administrative workload and improving efficiency.
  • Internal process automation
    Another way to use chatbots is to automate internally within organizations' repetitive tasks and assist employees. To provide information, answer HR-related queries, help with onboarding processes, and streamline internal communication channels.

From healthcare and food services to HR and media, chatbots transform how businesses interact with customers, streamline operations, and deliver valuable services. But there is a classification of chatbots that should be considered first.

Types of chatbots

By understanding the distinctions between these three types of chatbots, businesses can choose the most suitable approach based on their specific requirements and resources.

Rule-based chatbots

They are the simplest form of chatbots. They operate on predefined rules and predetermined responses. These chatbots are programmed to follow a specific set of rules and patterns to provide appropriate answers to user queries. However, their responses are limited to the rules defined during their development, making them less adaptable to complex or unexpected scenarios.

AI chatbots

AI chatbots, also known as intelligent chatbots or conversational AI chatbots, leverage advanced AI and NLP techniques. These chatbots are designed to understand and interpret user inputs in a more sophisticated manner. They can analyze language nuances, context, and user intent to provide more accurate and contextually relevant responses. AI chatbots can continuously learn from user interactions, improving their performance over time.

Hybrid chatbots

Hybrid chatbots combine the capabilities of both rule-based and AI chatbots. They are designed to switch between predefined rules and AI-powered natural language understanding intelligently. Hybrid chatbots leverage rule-based logic for straightforward queries and predefined scenarios while employing AI techniques for more complex or ambiguous user inputs. This hybrid approach balances flexibility and control, offering a more robust and adaptable chatbot experience.

Regarding chatbot development, businesses have two primary options: rule-based chatbots and custom AI solutions. Let's explore the differences between these two approaches.

Rule-based chatbots vs. custom AI solutions

Rule-based chatbot benefits Custom AI chatbot benefits
Easier to build and maintain compared to custom AI solutions. They involve defining specific rules and responses, making them more straightforward to implement. Can interpret and understand natural language inputs, allowing for more conversational and contextually relevant responses. They can handle ambiguous queries and adapt to user preferences.
Businesses have complete control over the conversation flow and responses. They provide a predictable user experience as they strictly adhere to predefined rules.
Capable of learning and evolving based on user interactions. It means that it can continuously improve their understanding and responses, making them more adaptable to different scenarios and unexpected situations.
Relatively quick development since the focus is on creating a set of rules and responses.
Complex interactions and understanding user intent. Go beyond predefined rules and provide more nuanced and personalized responses.

Now that we've reviewed the different types of chatbots and their advantages for business, we can take a closer look at what you should pay attention to when choosing a chatbot and in what cases. 

How to choose the right chatbot platform

Here are some key considerations to help you make an informed decision:

  • Purpose and use case
    The purpose of your chatbot should be established, and the specific tasks and functions it should perform. You should also determine if it should be used for lead generation, customer support, automation, or other activities. There are many platforms that specialize in specific use cases, so you should choose one that fits your needs.
  • Integration capabilities
    Before you start using a chatbot, it's important that you thoroughly assess its integration capabilities with your existing tools and systems. This will allow you to integrate it with other applications and websites easily. Having the necessary tools and data will allow your chatbot to perform its functions efficiently.
  • Natural language processing (NLP)
    A chatbot should have the necessary NLP capabilities to understand and respond more effectively to users. Look for platforms with advanced features such as context awareness, sentiment analysis, intent recognition, and entity extraction.
  • Customization and flexibility
    Look for a chatbot platform that lets you customize its appearance, personality, and responses to suit your brand identity and specific needs. It should also be flexible enough to allow you to modify its behavior as needed.
  • Scalability and performance
    When it comes to choosing a chatbot platform, it's important to consider its scalability. If you plan on increasing the number of users interacting with the chatbot, make sure that it can handle the demand without compromising its reliability and response times.
  • Analytics and insights
    A chatbot should also be equipped with reporting and analytics features, which will allow you to analyze and measure its effectiveness. It helps to identify improvement areas and enhance your chatbot's efficiency.
  • Support and documentation
    Before you start using a chatbot, it's important that you thoroughly assess its documentation and support services. Look for resources such as tutorials, forums, and developer documentation. Having a supportive community can boost the chatbot's performance and overcome issues.
  • Security and compliance
    Ensure that it has the necessary security measures to protect the information that it collects and complies with relevant regulations, like HIPAA or GDPR. Verify its access controls, encryption methods, and industry standards.
  • Pricing and cost
    Thoroughly assess its pricing model. Some platforms offer free trials or plans, while others charge based on the number of interactions and features. You should compare the features and budget of different platforms before making a final decision.
  • User experience
    Look for a chatbot builder that has an intuitive interface and a good end-user experience. A chatbot that is easy to use will help speed up the development of your program, while a more engaging one will satisfy users.

When to use ready-made chatbot platforms

  • When speed is a priority: Ready-made chatbot platforms can be faster to deploy than building a chatbot from scratch.
  • When limited technical expertise is available: They can be easier for non-technical users.
  • When budget is a concern: Some ready-made chatbot platforms offer free or low-cost plans, making them a more affordable option for small businesses or startups.

While ready-made chatbot platforms offer convenience and speed, they may have limitations in terms of customization and flexibility compared to custom-built solutions.

If your use case requires highly specialized functionality or unique integration requirements, a custom-built chatbot solution might be more appropriate.


How to build a custom Chatbot

Building a custom chatbot development methodology involves several steps. Here's a general overview of the process:

Step 1. Identify the chatbot type

Before you begin building a chatbot, you must first identify the goals and objectives of the project. Answering these questions will help you choose the type of chatbot that will work best for your business. You can build a rule-based bot that follows predefined prompts or an advanced machine-learning bot that learns from users, as we mentioned before.

Step 2. Select channel

You must also follow up with your prospects to make sure that the chatbot is available on their preferred platforms. It's up to them whether it's a hosted bot on your website or a standalone app or Facebook Messenger, for example.

Consider adopting a multi-channel strategy for your chatbot, ensuring consistency across platforms. It is advisable to use the same chatbot stack across all channels instead of using different platforms for each channel. For instance, it's more preferable to have a unified chatbot built with a consistent framework, such as Chatfuel or Dialogflow, rather than employing different tools for platforms like Messenger, Google Assistant, and mobile apps. This approach maintains coherence and simplifies the management and maintenance of your chatbot across various channels.

Step 3. Identify technology stack

Once you have identified the customer problem you aim to solve and the target platforms for your chatbot, you can proceed to select the appropriate technology stack. There are two main options: either choose a framework and engage chatbot developers to design your bot or take a hands-on approach using do-it-yourself (DIY) talk bot-building platforms.

When opting for a framework, your decision will likely depend on the developers' skills and the availability of open-source and third-party libraries for NLP, such as ChatterBot. It is important to ensure that the selected library or software development kit (SDK) integrates smoothly with your existing software systems.

Step 4. Design the conservation

You can build the chatbot using the conversation flow design that you've selected after you've chosen a tech stack. With a DIY platform, you can add a dialogue flow almost effortlessly.

If you've chosen a framework that's designed to ensure that the chatbot has the necessary AI capabilities, you should hire a team of developers who are experienced in building such applications. These developers will be responsible for building both the front-end and server-side components of the chatbot.

When using a bot platform, the graphical UI of the chatbot typically follows a standard format and doesn't offer much flexibility for customization. In this case, you don't need to worry about designing or altering the UI of your chatbot, as the platform will provide a predefined dialog structure.

However, when working with a framework, you have the freedom to design and create a unique user experience (UX) for your chatbot.

Step 5. Testing phase

As a software product, you'll want your chatbot to interact with real humans in order to test its effectiveness. Unfortunately, chatbots are still a novelty, and many customers will try breaking them. Ideally, you should prepare different scenarios that it responds to users in a graceful manner so that they can easily follow up with a human agent.

Step 6. Deploy and maintain

Getting a chatbot up and running can be a relatively easy process as long as all of the necessary components are connected to the network. You can also use a chatbot that's integrated with your existing infrastructure, such as a CRM or ERP system. After the chatbot has been deployed, the application's development life cycle continues. One of the most important steps the developers must take is to analyze the statistics and improve the answers.

Team stack for Chatbot development

  • Project manager
  • UX designer
  • Chatbot developer, Natural Language Processing (NLP) expert
  • Data scientist
  • Quality Assurance (QA) tester
  • DevOps Engineer

Do you want to develop a chatbot from scratch? Contact us. Our full-stack team will help your company from the pre-discovery stage to software maintenance and support.

How much does it cost to develop a chatbot?

Like other innovations, the cost of building a chatbot varies depending on its features. You would typically spend around $5,000 to $150,000 for the development. For instance, if you want to build a chatbot using Machine Learning and Natural Language Processing techniques, you'll typically have to spend the highest price. 


Examples of successful chatbot implementation in different industries 

And last but not least, let’s look at examples of how chatbots have been successfully implemented in various industries to improve customer engagement, streamline processes, and enhance overall user satisfaction.


Sephora, a renowned cosmetics retailer, implemented a chatbot on messaging platform Kik to provide personalized beauty tips, product recommendations, and makeup tutorials. It aims to enhance customer engagement and increase sales conversion rates.

Banking and Finance

Capital One's chatbot, Eno, helps customers manage their accounts, check balances, and track expenses via natural language interactions. Eno improves the overall banking experience and reduces the need for customers to navigate complex banking websites or mobile apps.

Travel and Hospitality

Marriott International introduced a chatbot on Facebook Messenger to assist customers with hotel bookings, travel recommendations, and loyalty program inquiries. The chatbot's quick responses and tailored suggestions provide higher customer satisfaction and increase bookings.


Buoy Health developed a chatbot that uses AI and machine learning to help users assess their symptoms and provide appropriate medical advice. Users can describe their symptoms to the chatbot, which then analyzes the information and suggests potential causes or recommends seeking medical attention. This chatbot enables quicker symptom evaluation, reduces unnecessary visits to doctors, and improves healthcare accessibility.

Human Resources

Mya Systems developed an AI-powered chatbot named Mya, specifically designed for recruitment and candidate screening. Mya engages with job applicants, conducts initial interviews, and collects relevant information to assess candidate suitability. This saves time for HR teams and ensures a standardized screening process.

Entertainment and Media

CNN launched a chatbot on Facebook Messenger that delivers personalized news updates to users. The chatbot allows users to choose their preferred topics of interest and receive relevant news articles, videos, and updates in real time. Personalized news delivery increases user engagement and improves the overall news consumption experience.


As chatbot technology continues to advance, it is crucial for businesses to stay informed, embrace innovation, and adapt to changing customer expectations. By leveraging the capabilities of chatbots, organizations can enhance their customer service, streamline operations, and gain a competitive edge in the digital landscape.

By harnessing the power of chatbots, organizations can unlock new avenues for growth, deliver exceptional customer experiences, and shape the future of customer engagement in a technology-driven world.

Developing a chatbot can be a great way to achieve these goals. One of the best ways to start is to contact a company that has the necessary expertise to develop a chatbot for you.

Contact us now, and we will provide you with a free consultation and help you with further chatbot development or integration. 


What is a conversational flow?

What is the difference between a virtual agent and a chatbot?

How do chatbots learn?

What programming language is used for chatbots?

The cost of making a unique NFT marketplace.

How Much Does It Cost to Make a Unique NFT Marketplace...

How Much Does It Cost to Make a...

How Much Does It Cost to Make a Unique NFT Marketplace from Scratch

The popularity of digital marketplaces for various types of products is increasing day by day. Especially when there is a sudden turnaround in the...

Protocol Buffers vs JSON

Protocol Buffers vs JSON

Protocol Buffers vs JSON

Protocol Buffers vs JSON

Have you ever wondered how your favorite mobile app delivers lightning-fast updates or how social media platforms handle millions of messages per...

Build Your Own DeFi Company: List of the Best 9 Analytics Tools.

How to Build DeFi Analytics Tool

How to Build DeFi Analytics Tool

How to Build DeFi Analytics Tool

Here are discussing some of the best DeFi analytics tools that help investors understand and keep track of the broader DeFi ecosystem.We will...