How is RecoMelon different from other recommendation engines?

Most recommendation engines rely on collaborative filtering and historical baskets. RecoMelon starts with the product itself.

VisualDNA™ analyzes cut, color, silhouette, print, and material from product imagery, then recommends products based on visual similarity.

This means merchants can surface relevant recommendations from day one, even for newly launched products with no purchase history.

The result is product-intelligence-led discovery instead of behavior-history-only recommendations.