Smart Order Picking
A warehouse layout that optimises product locations dynamically on the basis of historical order patterns
The challenge
- The picking time of manual orders was a bottleneck: operators walked unnecessarily far, costing time and productivity.
- The question: how do you minimise walking routes without giving up flexibility when demand shifts?
The solution
- Data analysis of historical order patterns: which products are ordered most often, and which items frequently appear together in one order.
- Simulations of different warehouse configurations and algorithmic optimisation of product placement, taking both order frequency and order composition into account.
- The system keeps learning from new data, so that the layout adapts to changing demand patterns.
What it delivered
22%Reductie in picktijd
35%Minder fysieke belasting medewerkers
- Lower physical strain on the operators.
Want to know more about this case?
Robert van Rietveld
Brightlands Data & Ai Campus
robert.vanrietveld@brightlands.com