Recommend store-cluster assortment depth from local sales and demand signals, and escalate anything that conflicts with a category manager's known exception.
Assortment ends up basically the same at every store because building a truly localized plan by hand for hundreds of locations is not feasible for a typical planning team.
local sales, demographic, and space-constraint data per store cluster
Resolve exceptions
A recommended assortment-depth increase for a store cluster conflicts with a category manager's known stockroom-space exception, and needs a final local call.
Try it — same review surface your operators use, with a representative decision. Nothing here is saved or sent anywhere.
Space allocation trade-offs between competing categories, and the final local assortment call where automated recommendations conflict with known local context, stay with your category managers.
See this workflow against your own queue.
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