AI Picking
Every picker,your best picker.
WareBee's AI plans the picking your team executes: optimised routes, smart order batching and slotting recommendations — all verified in a digital twin of your warehouse first.
See AI picking in action
AI that shows its work
Black-box AI is hard to trust with a live warehouse. Every WareBee recommendation comes with the evidence: the simulated route, the travel saved, the cost impact.
Your team stays in control — WareBee's AI proposes, you approve, your WMS executes.
- Recommendations backed by simulation
- Optimisation runs finish in hours
- Nothing changes in how your team works
AI agents watching your operation
The Scout monitors data feeds from your WMS and IoT devices, measures leading and lagging indicators, and answers any question about operations.
The Analyst drills into cost drivers and productivity issues — so AI picking improvements keep coming after day one.
Continuous improvement with WareBee
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What is AI picking?
AI picking uses machine intelligence to plan how orders get picked: which orders to group, which route each picker takes, and where products should sit so the busiest SKUs are the easiest to reach. The picker still picks — the AI removes the wasted travel, backtracking and congestion from their shift.
WareBee's approach keeps the AI accountable. Recommendations are generated by the Dynamic Optimisation engine and tested against your own order history inside a warehouse digital twin, so every claim comes with a measured, simulated result.
That makes AI picking safe to adopt incrementally: start with the recommendations, verify the numbers, and expand from picking into slotting, batching and workforce planning as trust builds.