ShelfSense

ShelfSense is a mobile + web AI shopping discovery app that builds a “taste graph” from what you already like (screenshots, saved links, past purchases, and quick swipes). Instead of pushing generic deals, it generates a ranked feed of products across multiple retailers with a clear explanation: “recommended because you liked X, prefer Y materials, and avoid Z.” Users can set hard constraints (budget ceiling, size/fit, ingredients, sustainability flags, shipping speed) so recommendations don’t waste time. The app also learns from negative feedback (“not my style,” “too loud,” “bad reviews,” “not durable”) and adjusts immediately. A lightweight browser extension captures product pages and reviews for better matching. Monetization is affiliate revenue plus optional premium for advanced filters, price-drop alerts, and cross-store “best value” scoring. Realistically, success depends on nailing data ingestion and trust—otherwise it becomes another noisy recommendation feed.