Retail · Operations
Moss Stock Forward Allocation
Order allocation prediction for multi-store retail — projecting demand, surfacing anomalies, and guiding stock forward before the shelves run short.
The challenge
Multi-store retail lives or dies on forward allocation: the right units, in the right branches, at the right time. Historical sales, promotions, seasonality, and store idiosyncrasies make pure spreadsheets brittle — and late corrections expensive.
The fit
Moss Allo-Play is a tailored order-allocation prediction prototype. It turns sales history into forward projections, highlights anomalous store–SKU combinations, and gives planners a calm path from signal to decision.
What it does
- Projects demand across stores and SKUs for a planning window
- Scores anomalies so human attention goes where the risk is highest
- Tracks review state — approve, adjust, or reject with a clear audit trail
- Exports cleanly for downstream systems and finance
Craft notes
Built as a focused operational tool, not a generic BI dump: domain language, review workflow, and coverage metrics that match how allocation teams actually work. Rapid iteration on the dashboard and queue kept planners in the loop early.
Gallery
Screens & surfaces
Next step
Discuss a similar fit
If this kind of craft matches what you need, book a discovery session — Rick responds personally.