SKU affinity is the pattern of which products are frequently ordered and picked together. It's a slotting dimension beyond raw velocity: even two moderate-velocity SKUs, if they're almost always picked in the same order, should be placed near each other so the picker doesn't traverse the warehouse to gather both. Affinity slotting cuts travel at the order level, complementing the SKU-level savings of velocity slotting.
Why Affinity Matters
Velocity slotting optimizes where each SKU sits based on how often it's picked individually. But orders are baskets of multiple SKUs, and the travel within an order depends on how far apart those SKUs are. If two products co-occur in many orders but sit in opposite zones, every shared order forces a long walk between them. Grouping frequently ordered SKUs together is a recognized slotting technique precisely because it reduces this intra-order travel.
How Affinity Is Found
Affinity is found in the order history — analyzing which SKUs appear together in the same orders, and how often. SKU affinity, or co-picking patterns, is one of the core inputs effective dynamic slotting depends on, alongside velocity and zone activity. Strong affinity pairs and clusters become candidates for co-location, balanced against their individual velocity needs.
Combining Affinity With Velocity
The art of slotting is balancing velocity placement with affinity grouping — keeping A-items in the golden zone while also keeping high-affinity sets close together. This is a multi-factor optimization that's hard to do by hand, which is why an agent helps. The AI agent analyzes both velocity and co-picking patterns from order data via n8n and Google Sheets or Airtable, recommending placements that account for both. It's demonstrated at omnionlinestrategies.com/ai-agent-warehouse-slotting-optimization.