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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%.