Product recommendation engines work on complete AI and ML algorithms. These algorithms consider massive amounts of customer data, including purchase history, preferences, and search and browsing behavior. These engines then analyze data about shoppers to learn exactly what types of products interest them so they can serve those recommendations across different channels and stages of a customer lifecycle.