Our GNN model enables two powerful discovery modes: Product-to-Product finds similar items (substitutes/complements), while Product-to-Category suggests related themes and shopping areas customers might not have considered. Together, they provide both immediate options and exploratory pathways.
Purpose: Find similar products based on shared context (occasions, themes, seasons).
Use Case: "Customers who viewed this also liked..."
Benefit: Helps customers find alternatives, complements, or next purchases.
Purpose: Discover related categories through structural connections.
Use Case: "Explore related themes..."
Benefit: Opens new shopping paths; discovers connections traditional algorithms miss.
Product recommendations help customers find immediate alternatives and complements. Category recommendations enable discovery of new shopping themes they might not have considered, driving exploration and cross-category sales. Both modes work together to provide comprehensive customer guidance.