Visual product recommendations use artificial intelligence to analyze product images and suggest visually similar items to customers - not just products in the same category or with similar keywords.
Traditional product recommendations rely on sales data or metadata - products that sell together, items in the same collection, or products with similar tags. While effective, these methods miss visual nuance.
Visual recommendations are different. They use deep learning models trained on millions of images to understand what products look like. When a customer views a blue floral dress, the AI finds other blue floral dresses, similar patterns, and complementary colors - regardless of product names, tags, or categories.