Food wholesale · EU
Warehouse logistics — AI-optimised forklift routes
The starting situation
In a 10,000 m² warehouse, forklifts currently drive around 1,400 km per month — often sequentially, often by gut feeling and often with empty trips. Poor picking paths, unbalanced slotting and bottlenecks at crossings tie up staff and maintenance; frozen and fresh zones add further constraints.
How we solve it
We combine WMS logs, forklift IoT telemetry and a layout model into route optimisation with task interleaving and genetic algorithms. Orders are bundled spatially, empty return trips are filled with put-away tasks, critical bottlenecks become visible through heatmaps and are reduced through revised slotting suggestions.
What you get
Pilots show around 25% faster transport cycles and savings of 300–350 km per week — for one food wholesaler this meant two fewer forklifts in operation and a shift model streamlined from three shifts to two.
Do you recognise a similar process in your company?
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Why AI projects work →This use case is based on a real client project. Sector and region are named, the company itself remains anonymous.