We can do this by training the bot on existing data sets such as support tickets, emails, and so on. This step is critical for understanding the user’s intent. Train the chatbot: This step focuses on teaching the bot different variants that the user may ask.So, a ‘happy flow’ is a conversation in which everything happens as it should. Designing the conversational flow means organizing the dialogue and framing the bot’s responses. Design the conversation flow: Then, we need to write the dialogue.Select the technology stack: The frameworks will most likely be chosen based on the developers’ skills as well as the availability of open-source and third-party NLP (Natural Language Processing) libraries such as ChatterBot.Similarly, we may link a chatbot with Skype, Facebook Messenger, or any other messaging service, as well as SMS channels. We might, for example, create a chatbot for a website or mobile app. Select a communication channel: Here, we need to select a platform that we are comfortable with.Why are you creating a chatbot? What are you aiming to achieve? The answers to these questions will facilitate the selection of the chatbot’s type. Define goals for the chatbot: The first step is to identify the chatbot’s goals.Let’s go through the fundamentals of creating a purpose-driven chatbot: Here’s an example of a chatbot architecture using the NLP method: If necessary, it will then hand over the inquiry to a human
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