Retail
Warehouse Picking Route Optimization
Algorithm-based route optimization reducing picking time in warehouses
- Python
- Optimization
- Excel
About this project
Implemented a route optimization system for a 500,000 sq ft distribution center processing 5,000+ orders daily. The solution uses traveling salesman problem algorithms to determine optimal picking paths considering item locations, order priorities, and picker locations. Reduced average picking time per order by 31% and increased warehouse productivity by 28%.
