Common challenges
The robots are fine.The work isn't reaching them.
Automation is the biggest cheque a warehouse writes, and an idle station is the most expensive kind of idle time in the building. The fix isn't a firmware update or a faster conveyor — it's finding out whether the constraint sits in the automation at all, or in the picking, replenishment or wave plan feeding it.
See automation planning
Is this your problem?
How to tell an idle station from a station with nothing to do.
A slow AutoStore port and a starved one look the same from the floor — a light that isn't blinking as often as it should. The measure that actually separates them is automation throughput against rated capacity, with every idle interval attributed to the process that should have fed it. A port running under its rated capacity because picking, replenishment or a wave release is behind schedule is a feeding problem, not an automation problem, and re-tuning the machine won't fix it.
The stakes for getting this distinction right are only growing. The MHI Annual Industry Report 2026 names AI the biggest disruptor supply chains will face over the coming decade — which makes proving out the automation you already have, before the next cheque, the more urgent question.
WareBee scores automation throughput against a peer set matched on order profile, SKU count and footprint — never a blanket industry figure — so 'the system isn't earning its keep' becomes a number you can compare, argue with and act on.
What's actually causing it
Five reasons the station isn't earning its keep.
Each one is measured on your digital twin from data you already generate, so you can see which applies to you before anyone opens a support ticket with the vendor.
Feed starved by upstream picking
The station is ready before the work is, and every idle minute gets logged as an automation problem.
Automation throughput is measured against rated capacity, with idle intervals attributed to the picking, replenishment or wave step that should have queued the work. When the constraint sits upstream, the fix is re-sequencing what feeds the station, not troubleshooting the station itself.
SKUs assigned to the wrong storage medium
Slow movers and awkward shapes occupy automated slots that faster-moving stock actually needs.
Every item is scored on velocity, cube, order affinity and seasonality to decide what earns an automated slot and what stays in regular racking. Fill the system with the wrong SKUs and it runs slower than the racking it replaced — the score is what keeps that from happening quietly.
Work batched for people, not machines
A wave built to keep a picker moving isn't automatically the batch a station needs to run without a gap.
Where the automation runs on the same wave logic as the manual aisles around it, the station finishes what it was given and waits for the next release instead of running to its own rated pace. Task batching into automation needs its own logic, not the manual pick wave reused as-is.
Stations load-balanced by assumption
One port is buried while the one beside it stands idle, and nobody set it up to work that way on purpose.
Work is load-balanced across pick towers, shuttle ports and goods-to-person stations so no station carries more than its share while another sits idle. That balance is set from measured throughput per station, not from the assumption that identical stations get identical volume.
The business case never re-tested after go-live
The ROI model that justified the purchase was never checked against what the floor actually does with it.
The same twin that scored the SKUs and simulated throughput before the purchase can run that model again against the operation as it exists today, not just as it was pitched. Re-running it after go-live is what turns 'is this paying for itself' back into a number instead of an assumption.
Prove the throughput before you touch the machine.
WareBee measures automation throughput against rated capacity on your digital twin, and attributes every idle interval to the picking, replenishment or wave step that should have fed the station — so you know whether the constraint is the automation or what's queued in front of it before you open a ticket with the vendor.
Because the twin already models your items, orders and space, it scores every SKU for the automation you run — AutoStore, AMRs, a pick tower — and load-balances the work across the stations you install, on your real data. Your team approves the plan; the WMS receives it as the tasks and priorities it already understands.
- Automation throughput measured against rated capacity, idle time attributed to its cause
- Every SKU scored for the automation it's assigned to, not just the automation it inherited
- Stations load-balanced on measured throughput, not an assumption
Questions
Idle automation, answered.
Why does automation sit idle when volume is high?
High order volume doesn't guarantee automation is fed at the pace it's rated for. WareBee measures automation throughput against rated capacity and attributes every idle interval to the picking, replenishment or wave step that should have queued the work, so a busy warehouse with an idle station shows up as an upstream problem rather than a mystery — visible before anyone touches the machine.
Can WareBee model AutoStore, AMRs or a pick tower?
Yes. Automation is the biggest cheque a warehouse writes, and WareBee models AutoStore, AMRs and pick towers in the digital twin so the business case is proven in the model rather than learned on the floor. Because the twin already knows your items, orders and space, it scores every SKU for the system under evaluation and simulates the throughput it would actually deliver on your volumes.
How do I know which SKUs belong in automation?
Every item is scored on the factors that decide it — velocity, cube, order affinity and seasonality — using your own order history rather than a vendor's reference case. Fill a goods-to-person system or a pick tower with the wrong SKUs and it runs slower than the racking it replaced; the score tells you, item by item, what earns a slot and what belongs in regular storage instead.
Can I test a business case before buying?
Yes — that's the point of modelling it in the twin first. WareBee simulates the throughput and the labour impact of AutoStore, AMRs or a pick tower on your real data before a purchase order is signed, so the case you take to the board has already been tested against your own volumes rather than a supplier's reference numbers.
Does this work with automation already installed?
Yes. WareBee load-balances the work across the pick towers, shuttle ports or goods-to-person stations you already run, so no station carries more than its share while another sits idle. You can also re-run the throughput and business-case model against how the operation performs today, which is usually the fastest way to find out whether an underperforming system was ever the automation's fault.
What data is needed?
WareBee starts from data you already generate — WMS and ERP feeds, scans, or a simple CSV export covering items, orders and space. Setup takes under a day with no IT project and no code, and the first analysis of your operation completes in around an hour, well before you'd need to justify a longer integration project.