How this works

A functional prototype app to demonstrate an AI-based recommendation engine. There are mainly 2 modules in this solution.

1. App that trains an AI recommendation model using ML.NET and saves it.
2. An app that loads that model and queries for product recommendations for a given UserId/CustomerId.

This solution can be extended for full-fledged users, product catalogs, and then loading the trained model. in the Web App to recommend products for a given logged-in user. This can be utilized to send marketing emails and messages including the recommended products for specific users/customers.