Slotting a warehouse is a data-driven process that turns pick history into an optimized physical layout. The goal at every step is to place SKUs so that pickers travel and search as little as possible. Here is the complete process.
Step 1 — Analyze SKU Velocity
Accurate SKU velocity data forms the foundation of any effective slotting process. This means analyzing not just total pick frequency but seasonal patterns, trending changes, and demand forecasts. Pull SKU data, item pick levels, and order history, and classify each SKU by how fast it moves — the small percentage of SKUs that drive the majority of picking activity are the ones whose placement matters most.
Step 2 — Map Zones and the Golden Real Estate
Segment the warehouse into zones by accessibility. The golden real estate — closest to the workflow endpoints and at the golden zone height between chest and knee — is reserved for the highest-velocity items. Secondary zones take medium movers, and distant locations take the slow movers whose infrequent picking won't impact overall productivity.
Step 3 — Place by Velocity, Size, and Affinity
Assign each SKU to a location based on its velocity tier, physical characteristics (heavy items at ground level, right-sized locations for cubic movement), and affinity with other products (group SKUs that are frequently ordered together). The placement should create a layout that aligns with how the team actually picks.
Step 4 — Monitor and Reslot
Slotting requires continuous optimization. As velocity shifts, the optimal placement changes, so the process repeats. The AI agent, built on n8n with Google Sheets and Airtable, runs this analysis continuously and delivers prioritized move recommendations. It's demonstrated at omnionlinestrategies.com/ai-agent-warehouse-slotting-optimization.