How To Build a Chatbot 101: All about intents

In this edition of ‘How To Build a Chatbot 101, we’re diving into the finer details about building intent-based chatbots.

Mapping responses/solutions to intents (or ‘triggers’) continues to be a methodology for businesses looking to build chatbots and virtual assistants even today.

With the arrival of Natural Language Understanding or ‘NLU’ (a branch of Natural Language Processing), chatbots can now decipher unstructured utterances/input from the user and structure them to formulate responses. The layer of intelligence on top of the intents helps the chatbot create relevant responses, either through Syntactic or Semantic Analytics.

While the intents-based methodology continues to be the standardized favourite, we want to show you why organizations need to start thinking beyond them.

A study by Uberall showed that over 43% of customers that interacted with a chatbot had a negative experience, where the Bot failed to grasp the question or query. [1]

Hence, we arrive at the point: The problems associated with Retrieval Intents and Multiple Intents.

Retrieval Intents: Merely an FAQ Bot

Similar to the recall function of the ANSI C platform, chatbots using retrieval intents can recall…