The problem
In B2B ordering the buyer usually knows the main item and forgets the rest: the consumables, the accessories, the part that always goes with it. Catalog cross-sell lists are curated by hand, and nobody curates the long tail.
How it works
_recommend ranks candidate products by the probability of the goal, here a click, given the anchor product and the history of impressions. The substitutes list is a separate, simpler query: products from the same category, scored in the application by supplier and price.
The Recommendations view is part of the ERP demo's Retail profile. Open the Retail landing page, then Recommendations from the navigation.
For the full architecture, see the technology overview. For the broader narrative across multiple use cases, read The Predictive Application.
See it live
This use case runs in the 📋 ERP demo today. Click through to the live application and inspect the queries that produce the result.
