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If a customer needs to do more than the chatbot can handle, the program can escalate to hand off the interaction to a human operator. Linguistic or rule-based chatbots are more complex than button bots, though they fall short of the nuanced and relevant responses that AI bots provide. For example, a rule could be that when a bot receives a certain number of keywords related to a specific topic, it provides the user with a link to a webpage that may help to resolve their query. Like button or keyword-based bots, they still rely on static, preset rules, but the user experience is more flexible. Chatbots process data to deliver quick responses to all kinds of users’ requests with pre-defined rules and AI-based chatbots. Unlike email or traditional live chat, chatbots can give answers within seconds. Customers will be able to move forward once they get answers to what they are looking for. This also means that the customer will be able to purchase without leaving the webpage. …