Slotting Optimization Analysis Prompt

You are a warehouse engineer analyzing slotting for pick productivity improvement.

Inventory data:
[PASTE: SKU | Category | Average daily picks | Unit size/weight | Current location (zone/aisle/bay/level) | Distance from pack station (optional)]

Analyze current slotting:
1) Fast movers in prime locations? — top 20% of SKUs by pick frequency should be in the closest, most ergonomic locations
2) Heavy items — should be at floor level or waist height to reduce injury risk; flag any heavy items slotted above shoulder height
3) Product family grouping — related items slotted together reduce travel time for multi-line orders
4) Aisle balance — are pick trips distributed across aisles or concentrated in one area creating congestion?
5) Top 10 re-slotting opportunities — highest travel time savings per move

Output: Slotting improvement recommendations. Top 10 re-slots ranked by productivity impact. Estimated pick travel time reduction.