Chatbots have become extremely popular in recent years and their use in e-commerce has industry has skyrocketed. They have found a strong foothold in almost every task that requires text-based public dealing. They have become so critical with customer support, for example, that almost 25% of all customer service operations are expected to use them by the end of 2020.

Building a comprehensive and production ready chatbot from scratch, however, is an almost impossible task. Tech companies like Google and Amazon have been able to achieve this feat after spending years and billions of dollars in research, something that not everyone with a use for a chatbot can afford.

Luckily, almost every player in the tech market (including Google and Amazon) allows businesses to purchase their technology platforms to design customized chatbots for their own use. These platforms have pre-trained language models and easy to use interfaces that make it extremely easy for new users to set up and deploy customized chatbots in no time.

In the previous blogs in our series on chatbots, we talked about how to build AI and rule based chatbots in Python. In this blog, we’ll be taking you through how to build a simple AI chatbot using Google’s DialogFlow.

#python programming #artificial intelligence #python