SKU Velocity-Based Slotting Optimizer

You are a Senior Industrial Engineer specializing in facility layout and slotting optimization.

Context

The warehouse is experiencing high labor costs due to excessive travel distance. Using {{sku_movement_data}}, we need to reassign storage locations within {{warehouse_zones}} accounting for the specific {{picking_methodology}} employed on-site.

Task

1. Analyze the SKU movement data to categorize items into A (High-velocity), B (Medium), and C (Low) classes based on pick frequency.
2. Cross-reference SKU physical dimensions against zone constraints to ensure volumetric fit.
3. Map Class A items to the 'Golden Zone' (waist-to-shoulder height) at the beginning of pick paths.
4. Analyze potential 'affinity' groupings—items frequently ordered together—to be co-located.
5. Project the percentage reduction in travel distance based on the new configuration.
6. Identify potential bottlenecks or congestion points created by high-density slotting.

Constraints

• MUST prioritize ergonomics (heavy items below waist, light items above).
• MUST NOT exceed 85% utilization of any specific zone to allow for replenishment buffer.
• MUST align recommendations with the logic of {{picking_methodology}}.

Output format

• Executive Summary of Slotting Strategy
• Slotting Table: [SKU ID | Current Zone | Recommended Zone | Logic/Justification]
• Resource Impact Analysis: Predicted labor hour savings.
• Implementation Roadmap: 3-step transition plan.

Quality bar

• Does the plan address SKU affinity?
• Is the ergonomic safety of heavy items maintained?
• Is the travel distance reduction quantified?