Warehouse slotting decisions are made during DC setup and rarely revisited, even as SKU velocity profiles shift seasonally and high-demand items migrate to low-frequency pick zones. The result is excessive pick travel time, replenishment congestion at high-velocity slots, and dock-to-stock delays that drive overtime. WMS data on picks-per-hour rarely feeds back into slotting logic, leaving operations running at 70-80% of potential throughput.
Built For
Warehouse Operations Manager overseeing a 400,000 sq ft DC with 12,000 active SKUs and a 3-shift picking operation
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Inventory Manager
Analyzes SKU velocity, ABC-XYZ classification, and slotting assignments to reduce pick travel time and improve replenishment cadence.
Operations Manager
Tracks dock-to-stock cycle time, overtime correlation, and throughput bottlenecks tied to current slotting configuration.
Supply Chain Planner
Aligns safety stock levels and reorder points with slot positioning strategy to prevent stockouts in golden zone locations.
SKU velocity analysis, ABC-XYZ classification, and slotting optimization that reduces pick travel distance, aligns replenishment frequency with slot position, and improves dock-to-stock time.
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Ask questions in plain English, get instant answers.
Analyzing TMS data... Three lanes account for 68% of empty miles this month: Chicago-Detroit (31% deadhead), Dallas-Houston (24%), and LA-Phoenix (13%). Combined revenue loss from unloaded miles is estimated at $187,000. Backhaul matching opportunities exist on the Chicago-Detroit corridor based on shipper demand signals.
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