Observed arrival · 2026-09-08
Mqora turns shopping baskets into shelf plans
A retail-intelligence service analyzes order histories to find product affinities, then turns them into arrangement zones, collection suggestions, and cross-sell prompts.
Field notes
The service combines two relationship methods: cosine-similarity neighbours identify products that behave alike, while association rules describe the direction and strength of basket pairings. Retailers can supply orders through Shopify, CSV or Excel, a POS connection, or a REST API, then use the output for shelves, online collections, and prompts. The page gives a 1,200-order sample and lists 24 API endpoints; its Pro tier covers up to 500,000 orders, while Insider adds anonymized network benchmarks.
Observed signals
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