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
Learn more
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.
Frequently asked questions
How AI picking plans the work your team executes — and why it is safe to trust with a live warehouse.
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 easiest to reach. The picker still picks — the AI removes the wasted travel, backtracking and congestion from the shift.
How does WareBee keep its picking AI accountable?
Recommendations are generated by the Dynamic Optimisation engine and tested against your own order history inside a warehouse digital twin. Every claim comes with a measured, simulated result — the route, the travel saved and the cost impact — so nothing is a black box.
Do my pickers have to work differently?
No. WareBee's AI proposes, your team approves and your WMS executes, so nothing changes in how your people pick. They simply follow better routes and batches, with the AI handling the planning behind the scenes.
How does AI picking keep improving after day one?
The Scout monitors data feeds from your WMS and IoT devices and measures leading and lagging indicators, while the Analyst drills into cost drivers and productivity issues. That continuous watch means picking improvements keep coming rather than stopping at the first run.
Can I adopt AI picking gradually?
Yes. Start with the recommendations, verify the numbers against your own data, and expand from picking into slotting, batching and workforce planning as trust builds. Optimisation runs finish in hours, so each step is quick to prove.
How does WareBee get my picking data?
Through the Universal WMS API — REST, scheduled exports or a simple CSV or XLS upload. If your WMS can get order and activity data out, WareBee can build the digital twin your picking optimisation runs on. No IT integration project is required.