Complementary product recommendation model
TITAN-LINK is a proprietary Deep Learning architecture that recommends, for each product, the most relevant complements in actual usage — even those that don't surface from common purchases alone. The model can also steer these recommendations according to the store's priorities: margin, trends, seasonality, or categories to push.
Your tools. Our relational layer. Your sales surfaces.
TITAN-LINK plugs directly into your existing stack. No migration, no rewrite. The catalog comes in. The right recommendations come out — everywhere your customer buys.
Deployment surfaces
A relational graph, customizable.
TITAN-LINK doesn't work alone. It makes all the others work together.
TITAN-LINK unifies signals from across the entire TITAN platform to orchestrate coherent actions — not isolated recommendations. Each model contributes its read of the customer and the catalog. LINK makes them converge into a single decision, at every interaction.
The value of TITAN-LINK grows with every TITAN model deployed on your stack.