Create a warehouse slotting optimization for [CompanyName] using cube-per-order index (COI) and ABC/XYZ analysis to reduce travel and improve space utilization. Use the last [HistoricalWindow] of order history from [WMS_Name] to classify [SKU_Count] SKUs by velocity/variability and propose forward pick assignments by zone (pallet/case/each). Balance replenishment touches versus pick distance; target [TargetPickRate] lines/hour and limit forward pick to [ForwardPickDaysOfSupply] days of supply. Define replenishment min/max per SKU and required bin types. Quantify impacts on honeycombing and bay utilization for pallet locations.
Output format: (1) Policy summary (≤120 words). (2) “Top 50 Moves” table: SKU, Current Zone/Loc, Proposed Zone/Loc, COI Rank Change, Travel Time Saved (mins/day), Replenishment Delta, Space Impact (pallets/bins). (3) JSON array of slotting rules [{condition, action, priority}]. (4) KPI baseline vs projected dashboard data (CSV).