Warehouse Layout Optimization uses AI to compute the best spatial arrangement of product locations within a warehouse, enabling improved picking efficiency and space utilisation, by solving placement decisions against throughput and constraint objectives, across warehouse operations and inventory data.
Suboptimal warehouse slotting and space allocation leads to longer pick paths, congestion, and underutilised storage, increasing operating costs and reducing throughput.
The AI computes the optimal assignment of products to warehouse locations and space zones, balancing pick frequency, product affinity, and physical constraints to produce a recommended layout plan.
Reduces average pick path length and improves storage utilisation; measured as picks-per-hour improvement and space utilisation rate.
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