![]() ![]() You know the goal you're leading people towards.Companies that fall into the categories below should consider a rule-based chatbot: For smaller companies or those with specific goals, rule-based chatbots are a more appropriate solution. While AI chatbots are more advanced, they're not always necessary. The best chatbot for you: AI or rule-based chatbot? have a broader range of decision-making skills.continuously improve as more data comes in.Although they take longer to train initially, AI chatbots save a lot of time in the long run. They work well for companies that will have a lot of data. Many people view AI Bots as a more sophisticated cousin of chatbots. are not restricted to text interactions.can include interactive elements and media.streamline the handover to a human agent.are generally faster to train (less expensive).Some other advantages of a rule-based chatbot are that they: You can better guarantee the experience they will deliver, whereas chatbots that rely on machine learning are a bit less predictable. While rule-based bots have a less flexible conversational flow, these guard rails are also an advantage. The more you use and train these bots, the more they learn and the better they operate with the user. These chatbots generate their own answers to more complicated questions using natural-language responses. In comparison, AI chatbots that use machine learning understand the context and intent of a question before formulating a response. Also, they only perform and work with the scenarios you train them for. These chatbots do not learn through interactions. They can't, however, answer any questions outside of the defined rules. Rule-based chatbots can use very simple or complicated rules. They do this in anticipation of what a customer might ask, and how the chatbot should respond. Like a flowchart, rule-based chatbots map out conversations. These rules are the basis for the types of problems the chatbot is familiar with and can deliver solutions for. As the name suggests, they use a series of defined rules. Rule-based chatbots are also referred to as decision-tree bots. ![]()
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