OPTIMIZATION / MACHINE LEARNING
SmartRoute AI.
Warehouse slotting and picking-route optimization informed by transaction patterns.
The challenge
Warehouse pickers spend significant time moving between storage locations. The project explored how product placement and routing strategies can reduce travel.
The approach
Compared current, dedicated, hybrid, random, and class-based slotting policies. Combined ABC analysis and association-rule mining with greedy route planning.
Results
In the project scenario, estimated daily walking distance decreased from 82.8 km to 50.8 km (about 39%). Daily labor cost decreased from 4,140 TL to 2,555 TL. These are project estimates, not independently validated production results.