Rule-Based vs AI Chatbots

25th OCT 2018

Chatbots.

What are they and how do they work?

Chatbots have come about to revolutionize the communication between businesses and their customers. Evolved are the days of emailing, calling and extensive internet searches for help when struggling to find answers or performing online tasks.

Chatbots now allow customers to instant message companies for help or guidance with quick replies back. They provide help on the user’s time and in the most popular outlet for communication in the 21st century—instant messaging.

Two of the most popular forms of chatbots are rule-based operations and AI programing.

Let's see together the differences between the two.


Chatbots with instant messaging
Rule-based Chat Bots Are Also Referred To As Decision-Tree Bots

Rule-based chatbots answer questions and perform tasks based on the specific rules they are trained on.

The questions submitted to this type of bot are guided to be simpler and the responses are more generic compared to those provided by an AI bot. They can be build on very simple or complicated rules, however, they  cannot perform outside of the programed rules. These chatbots do not learn through interactions therefore can only perform and work with the responses and scenarios they are trained on.

However, a great advantage of integrating a rule-based chatbot is that it can have buttons, carousels and other interactive functions. Unlike AI chatbots, rule-based bots are not restricted to text interactions.


What do AI Chatbots actually do?

Man holding a yellow post-it
In comparison, AI chatbots take a more human-like approach to communicating. These chatbots generate their own answers to more complicated questions using natural-language responses. The more these bots are used, the more they learn and the better they operate with the common user.

To conclude, either of these bots can easily help businesses grow in terms of communicating effectively and efficiently with customers. The type you choose to implement should be based on the needs of your users and the complexity of your company.

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