The Hidden Cost of Static Slotting
In most warehouses, products are assigned to fixed locations during an annual or semi-annual slotting review. A planner looks at velocity data, assigns fast movers to prime pick locations, and calls it done. The problem? Demand is not static.
Consider a beverage distributor: water and sports drinks are A-velocity items in summer but drop to B-velocity in winter, when hot chocolate and coffee surge. With static slotting, either summer or winter operations are suboptimal — and during the transition periods, both are.
The cost is enormous. Travel time accounts for 50-60% of a picker's day in a typical warehouse. If your slotting is even 15% suboptimal, you're wasting roughly 8% of your total labor budget on unnecessary walking.
How AI Enables Dynamic Slotting
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What you'll learn:
- Understand how AI-driven dynamic slotting reduces travel time
- Learn pick-path optimization strategies powered by machine learning
- Identify the data inputs required for warehouse AI systems