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
_relate over the order baskets ranks the products that appear with the anchor more often than their base rate, by lift, and shows the counts behind each pair so a thin pair reads as thin. On products with enough history it performs on par with counting co-occurrences; its value is that the same query gives the lift, the counts and the conditioning (a customer segment, a season) without a separate pipeline.
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.
