The e-commerce platform’s feature that suggests related products often purchased in conjunction with a chosen item. For instance, a customer viewing a digital camera might see recommendations for memory cards, camera bags, or extra batteries, as other shoppers have commonly added these items to their carts alongside the camera.
This recommendation system is significant for increasing sales by exposing shoppers to complementary goods they may not have initially considered. Its origin lies in collaborative filtering, a technique that analyzes user purchase history to identify patterns and suggest relevant pairings. This benefits both the seller, through increased revenue, and the buyer, by highlighting potentially useful accessories or related products.