Recommendation System
Bring more relevant, personalized products into each key shopping moment
What it does
Combine page context, product relationships, recent behavior, and eligible identity signals to discover better products from multiple sources and rank them by relevance and personalization. Any performance share follows the parties' written measurement terms.
Like giving each key placement a product expert who understands both context and customer interest, then chooses a better next product from several relationships.
What you'll get
- Recommendation API and agreed storefront placements
- Product-relationship, scene, and behavior-signal configuration
- Relevance, personalization, and product-order configuration
- Quality controls, feedback measurement, and share-calculation report
Product pages and carts get traffic, but related-product and add-on recommendations still depend mainly on manual work.
One-Time Implementation Fee + Agreed Performance Share