Build a Conversational Chatbot That Help Businesses Thrive
Being a business owner always comes with a myriad of challenges. There are several tasks to be done, such as coming up with a market strategy, attracting new leads, developing the product, and much more. If one person ought to do all of this, it could lead to tiredness and fatigue.
All of this could be achieved, along with a lot more, with the help of conversational chatbots. Read on to learn a detailed guide on how to build a conversational chatbot easily, which can help your business thrive.
- Part 1: Everything You Should Learn Conversational Chatbots First
- Part 2: Why Do You Need a Conversational Chatbot?
- Part 3: How to Build a Conversational Chatbot?
- Part 4: The Top Platforms to Build Conversational AI Chatbots
- Part 5: How to Train Your Own Conversational Chatbot?
- Part 6: Best Use Cases for Conversational Chatbot for Businesses
- Part 7: FAQs about Build a Conversational Chatbot
Everything You Should Learn Conversational Chatbots First
Conversational AI chatbots are specialized bots that simulate human conversations to resolve customers' issues. It allows businesses to offer their customers a better shopping experience.
These chatbots use conversational AI technology, which powers chatbots to become more innovative and more capable. These chatbots can replace a human being in text or voice messaging. So, the question is: Are conventional chatbots and conversational chatbots the same?
Basic chatbots and conversational AI chatbots are often used synonymously, but in reality, they both are different. Chatbots are one type of conversational AI technology, but not all chatbots are actually conversational.
For instance, rule-based chatbots are not built on conversational AI technology and utilize keywords from pre-written responses.
Why Do You Need a Conversational Chatbot?
First of all, chatbots tend to lower the cost of serving. Deploying a digital assistant is way less costly as compared to a human worker. It also takes the pressure off of the human workers by partially or fully automating customer service.
Imagine being able to instantly handle customer queries without having to pay a customer service representative. Sounds ideal!
Moreover, conversational chatbots can also pose to be the support staff, which is even more easily managed and cost-effective compared to the human team. Considering how a conversational chatbot can handle several conversations at a time, it can meet the spikes in demand.
How to Build a Conversational Chatbot?
Today, everyone is building a chatbot in order to fulfill one function or another. Some people may feel intimidated by the entire process. It may look like a complex and daunting task. However, making a conversational chatbot is reasonably fast and easy.
Here is a detailed guide to help you start building your very own conversational AI chatbot.
1 Define the Purpose and Goals
The most important and crucial step to building a conversational AI chatbot is identifying and defining the goals and purpose that you wish to achieve.
The more specific the plans, the better will be the output. Defining the purpose of your chatbot is easy. Begin by asking yourself, what are you building this chatbot for?
Do you want it for customer support or to improve the overall customer experience? Or maybe you want it for both? Once you are able to answer these questions, you will be able to build a chatbot easily.
2 Decide Where You Want it to Appear
Where do you wish to deploy this conversational chatbot? Is your clientele mainly on social media, or do you want it to operate via a live chat widget on the website? Whichever deployment you want, ensure that the chatbot platform integrates well with the tools of your choice so that you can serve your customers wherever they are.
3 Choose a Platform or Framework
Now that you have decided what kind of chatbot you want and where you wish for it to appear, it is time to choose a platform. You can build a conversational chatbot either through an AI framework or a chatbot platform. Chatbot platforms are growing in popularity as compared to platforms as they are easier and less time-consuming.
4 Design the User Experience
Begin building the conversation flow by creating a sequence, which can be achieved by dragging and dropping building blocks. Log in first, and go to your chosen bot builder. Start with a trigger that allows your chatbot to send a welcome message.
Go on and build the entire conversation flow now to complete designing the user experience.
5 Implement Natural Language Processing
To make the conversation flow fluent for the AI chatbot, implement NLP (natural language processing). This will enable the chatbot to acquire a conversation pattern similar to human beings.
6 Test Your Chatbot
Now is the time to test your chatbot and see if everything works just how you have designed it. To do that, click on the 'Test it out' button. You can now look at how your chatbot would look to the end-user. The editors will always let you come back and edit the flow.
The Top Platforms to Build Conversational AI Chatbots
Using specialized platforms can make conversational AI chatbot building extremely easy and smooth. The following top platforms can help you build conversational AI chatbots quickly and efficiently.
1ChatInsight AI
ChatInsight is an excellent tool for building conversational AI chatbots for businesses. It is a user-friendly chatbot platform to create chatbots without any coding skills.
With ChatInsight you can build different types of chatbots like employee training bots to cccelerate onboarding by granting new hires access to files, documents, wikis & more. You can also build customer support chatbots to aid support agents with necessary assistance and FAQ to help resolve customer's issues quickly. Another use case is creating marketing support bots for employees and clients alike.
Key features
- Comprehend user queries using semantic understanding and processing capabilities.
- Create flexible, coherent responses for a more human-like interaction.
- Retain and utilize conversation context to deliver relevant and coherent answers.
- Provide worldwide services by supporting single or multiple languages in the knowledge base.
2IBM Watson Assistant
IBM Watson is a market-famous conversational AI platform designed to help users deliver exceptional experiences to their employees and customers. It is powered by LLM (large language models) and harbors an intuitive user interface. Your teams can build efficient, conversational chatbots using IBM Watson Assistant.
Some unique features of IBM Watson include:
Key features
- Comprehends human conversation and improves the entire customer experience.
- Allows users to scale their team’s best insights and techniques across each real-time interaction.
- Allows for a seamless connection of channels where customers can easily engage with the system.
- Protects your AI chatbot's data privacy.
- Protects your customers against security risks.
- Gives your AI chatbot a friendly and clear voice.
3Microsoft Bot Framework
Microsoft Bot Framework includes an extensible and modular SDK for bot building and connecting to AI services. Using this framework, developers can create conversational bots that use speech and comprehend commands in natural language and can answer questions and more.
Some of its features include:
Key features
- Offers a swift and convenient way of bot building, providing a conversational interface.
- Let users create fresh experiences and reach many users connected via Skype, Facebook Messenger, Telegram, and other channels.
- Provides intelligent APIs that can be added to your bot.
How to Train Your Own Conversational Chatbot?
Here are a few ways in which you can train your conversational AI chatbot using a bot platform:
1. Analyze your conversation history – Implement live chat for some time to discover a few common problems your bot can solve. These can include repetitive tasks, questions, and FAQs. Once the live chat has been implemented, you can analyze the conversation history to know the common user queries.
2. Defining user intent – What is a user’s intention behind presenting a query? It is important to understand this first before training your bot. Once a specific purpose has been identified, you can prepare your chatbot to give relevant information.
3. Deciding what you require a chatbot to do – It is important to gauge what your customers want from your VA. When you understand this as a business owner, you can train your bot to function more efficiently.
4. Variations of user query – Sometimes, the intent behind different queries is the same, but they are just phrased differently. Therefore, it is important to prepare your chatbot to respond accordingly to each customer’s question.
Best Use Cases for Conversational Chatbot for Businesses
Wondering where the conversation chatbots would serve to its full potential? Follow this section.
1 Customer Service and Support
Conversational AI chatbots have a great impact on important business functions. They can be an asset as they can help boost customer experience significantly by providing personalized help.
These chatbots can also help businesses engage clients by answering FAQs and delivering context to conversations. Organizations tend to serve customer support costs by speeding up response times. It also improves the first response, which boosts the user experience.
2 Sales
Chatbots also help businesses increase sales by asking relevant questions, booking sales-related meetings, and qualifying leads. Because of their conversational abilities, they are able to generate greater leads as compared to their human counterparts.
Moreover, they can also interact with the users 24/7, generating more leads.
3 HR Support
Conversational AI chatbots can also serve as HR assistants. These harness the AI power to interact with the employees and smoothen HR operations such as onboarding, recruitment, driving, and enhancement of overall employee experience.
4 IT Support
Chatbots working to enhance IT support can communicate among employees through an internal communications platform such as Slack and other applications. Employees can hence get their queries answered, create cases, and do much more in less time.
Conclusion
Conversational AI chatbots continue to develop and evolve. They can not only enhance customer experience but also promote products in the eCommerce world. Not only this, conversational chatbots can provide benefits on so many other fronts.
If you think your business can benefit from a conversational AI chatbot, you can get started today by building your own chatbot.
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