These days, it is quite common to come across product recommendation engines, which utilize Artificial Intelligence (machine learning) to enhance the shopping experiences for customers of online stores. This technique has become extremely prevalent and effective within the fashion industry where visuals may direct the buying decision of a customer (for example, accessories and such are matched with whatever the customer has purchased or has shown an interest in).

A product recommendation engine, also sometimes known as an e-commerce personalization engine, is designed to give product cues to the user that are visually related to current product choices. This helps a customer pick the right fashion apparel with a somewhat different cut, model, color, pattern, or size from their original choice.

A recommendation system can be used to serve customers with personalized online product recommendations, resulting in more upselling and cross-selling, consequently improving conversion rates and reducing cart abandonment.

Recommendation systems are setting a new standard within the industry for customer engagement and brand recognition.