← Back to work
Case study
AI warehouse routing automation
AI-assisted warehouse routing system for a client in Switzerland, built to evaluate pallet measurements and send each pallet to the best storage zone for faster retrieval later.
Client visuals are often confidential, so some case studies use illustrative imagery.
Scope
- AI integration for pallet measurement and routing decisions
- Weight, size, and storage-rule evaluation inside warehouse workflows
- Operational logic for slotting pallets into the most efficient warehouse zone
- Workflow integration with warehouse handling steps and operator visibility
- Testing, rollout support, and practical handover
Challenge
The client needed warehouse storage decisions to happen faster and more consistently. Manual judgment around pallet dimensions, weight, and placement rules made storage less efficient and slowed later retrieval when pallets had to move back out.
Approach
- Integrated AI into the operational workflow so pallet placement decisions could be made automatically instead of relying only on manual routing.
- Fed the decision layer with pallet measurements, weight checks, and warehouse constraints so placement reflected real storage conditions rather than a generic rule set.
- Optimized the routing logic around future retrieval speed, not just immediate storage convenience, so outbound handling became faster when inventory needed to leave.
- Kept the implementation grounded in warehouse operations so teams could trust the system and still understand why pallets were being sent to specific areas.
Next step
Need similar technical support?
If you are an agency, we can support similar work behind the scenes. If you are a direct client, we can scope the project or support plan directly.