In this article we are going to show how we built this simple experiment using various cloud based services. In order for the virtual assistant to interpret what a user wants to do, we must define user intents. One example of an intent is opening an account. Once we have created the intent, we need to define how the user will express his intent. In this case, we need to input utterances, i.e. variations of possible user statements for the intent.

Today we want to go a step further and implement product recommendation as well. Product recommendation are widely used and are implemented using so called Recommender Systems. There are different ways of implementing recommendations like those we can see on Amazon or Netflix for example. In our case, we will use a multi-class classifier that depending on the answer provided by the user, it will select the product with the highest probability. Using a classifier allows us to avoid having to store past customer behaviour to train the model.