How early can a miss be predicted?

As soon as pick pace or dock availability starts trailing what the truck schedule needs, not once the wave has already finished. WareBee runs the maths on pace versus deadline for every order in flight and watches dock availability against the truck schedule, so a wave trending toward a miss flags itself hours out — while there's still a buffer window to reallocate pickers or re-sequence the work, not just log the miss afterwards.

What data does this need?

Watching a wave against a cut-off needs live or near-live pick and scan events alongside the dock schedule and order data your WMS already produces — nothing that requires new hardware or a fresh integration. That combination is what lets pick pace get compared against the remaining order count and dock availability against the truck schedule in real time, rather than reconstructed after the trailer has already left. The first read of where your waves are trending against their cut-offs runs on data you're already generating today.

Does batch size adapt as the cut-off approaches?

Yes. As a cut-off approaches, the batch size shrinks to fit what can still realistically be picked and staged in the time left, rather than holding a large run that misses the trailer. A priority order lands in the next wave that's about to close, not the one that happens to be building next, so the batch that actually leaves is the one the remaining time can deliver.

How does this differ from a WMS report?

A WMS report typically confirms a cut-off was missed after the shift closes. WareBee runs pick pace and dock availability against the truck schedule continuously through the wave, so the same drift that would show up as a missed-SLA line in tomorrow's report is visible hours before the deadline — early enough to reallocate pickers or re-sequence the work, not just explain afterwards why the truck left without an order.

Can it prioritise between two colliding cut-offs?

Yes. Task scheduling sequences work by priority, location and resource availability rather than a single fixed queue, so when two waves are both closing in on their cut-off, the one with the least buffer left is worked first and batch and dock assignments adjust to fit what each remaining window can still clear. Nothing is decided by which cut-off happens to be listed first on the board.

Once a supervisor approves it, does the recovery sequence reach the WMS or stay a suggestion?

Yes. Once a supervisor approves the recovery sequence, it lands in the WMS as the re-batched pick lists and revised dock assignment that wave now runs on — not a suggestion a supervisor has to translate into instructions by hand. Because the re-plan only touched the tasks the disruption actually affected, the rest of the shift's schedule stays exactly as it was, so nobody has to re-check work that was never at risk. Actuals flow back once the wave clears, so the next cut-off read starts from what genuinely happened, not from the plan that nearly missed it.

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Common challenges

The order was picked.The trailer had gone.

Every miss reads the same in the debrief: the order was picked, packed and staged — and the trailer had already gone. It got done against the shift clock, which was never the clock that mattered; nobody was checking pick pace and dock availability against the truck schedule until the wave was already past the point where anything could be re-sequenced. The fix isn't picking faster — it's watching the inputs that move before the deadline does, so a wave trending toward a miss flags itself hours out, not at the cut-off.

See the control tower

WareBee dashboard flagging a wave trending toward a missed cut-off, with pick pace and dock availability tracked against the truck schedule

Is this your problem?

How to tell a busy wave from one that will miss its cut-off.

The two look identical from the floor: people working, totes moving, nothing visibly stopped. The measure that actually tells them apart is pick pace against the remaining order count, read against the truck schedule rather than the shift end — a wave that looks comfortable against an eight-hour shift can already be behind the trailer that leaves at eleven. Watch it against the clock everyone's used to and the miss stays invisible until the door is closing.

It is a genuinely widespread problem, so the benchmark matters. The Zebra Warehousing Vision Study found that 51% of warehouse leaders struggle to maintain the fill rates set out in their SLAs, and 47% struggle to prepare orders in time — the shortfall showing up at both ends of the same wave, the promise and the pick face.

WareBee scores your wave-by-wave cut-off performance against a peer set matched on order profile, SKU count and footprint — never an industry median — so 'we sometimes miss the truck' becomes a specific wave, dock or cause you can act on before the next cut-off arrives.

What's actually causing it

Five ways a wave misses its cut-off.

Each one is measured on your digital twin from data you already generate, so you can see which applies to you before the next cut-off arrives.

Cut-offs treated as a deadline, not a constraint

The cut-off gets watched at the end of the wave instead of shaping the sequence from the start.

Task scheduling, dock-door scheduling and wave timing are optimised together against the cut-off itself, not run as three separate schedules that happen to share a deadline. A release order that can't make the truck is visible while the wave is still being built, not once it's already running behind.

Waves sized without regard to time left

A wave gets built to a target size or a fixed release time, not to what the remaining minutes can actually clear.

Wave release times are set from actual pick rates and equipment cycle times for that zone rather than a fixed interval on a wave clock, so a wave that is comfortable on paper but has run out of runway doesn't get released anyway. Sized against a target count instead of the time left, it is the wave most likely to run out of it.

Dock availability ignored in sequencing

Picking and staging finish on time, then wait behind a door that's already busy with another trailer.

Door assignment weighs what is already staged in front of each door and how long the current trailer needs to clear, not just which doors are free right now, so a door that looks open on the board but is about to be blocked doesn't get handed to the wave that needs it. Sequencing without that picture is how a wave that hit every internal deadline still queues behind a trailer nobody accounted for.

Exceptions discovered at the end

A short pick, a damaged case or a mis-slotted item surfaces at pack-out, with no time left to route around it.

Exceptions like these are usually caught by whoever hits them, at the point in the wave with the least time left to recover — not flagged the moment the data shows the risk. Checked continuously rather than swept up in a nightly batch, the same exception surfaces while there's still a wave left to route around it, not at the pack bench with the trailer already waiting.

No warning until it is too late to act

The wave is confirmed as a miss when the cut-off happens, not when the trend first pointed that way.

The maths runs on pace versus deadline for every order in flight, not just the final on-time tally, so a wave whose trajectory says it will miss its cut-off is flagged while the buffer window is still open. That's the difference between reallocating pickers to save the wave and logging the miss after the trailer has gone.

See the wave trending toward a miss — hours before the cut-off.

WareBee watches the inputs that move before the deadline does — pick pace against the remaining order count, dock availability against the truck schedule — so a wave trending toward a miss flags itself hours out, not at the cut-off. Batch and wave size adjust to what can still realistically be picked and staged in the time left, rather than holding a run sized for a target count that the clock can no longer support.

The recovery plan runs on the same digital twin, so it isn't a guess: only the tasks the disruption actually touches get re-solved against current resource state, leaving a supervisor free to reallocate pickers or re-sequence a dock while there's still a wave to save. Once your team approves it, the plan lands in the WMS as pick lists, replenishment tasks and dock schedules ready to work — not a spreadsheet someone has to re-key.

Pick pace and dock availability watched against the truck schedule, not the shift clock
Wave and batch size adapt as the cut-off approaches, not held to a target count
Approved recovery plans reach the WMS as tasks it already understands

See the control tower

WareBee recovery plan re-sequencing a wave and dock assignment ahead of a carrier cut-off, ready to send to the WMS

Next step

Missed cut-offs, answered.

How early can a miss be predicted?
As soon as pick pace or dock availability starts trailing what the truck schedule needs, not once the wave has already finished. WareBee runs the maths on pace versus deadline for every order in flight and watches dock availability against the truck schedule, so a wave trending toward a miss flags itself hours out — while there's still a buffer window to reallocate pickers or re-sequence the work, not just log the miss afterwards.
What data does this need?
Watching a wave against a cut-off needs live or near-live pick and scan events alongside the dock schedule and order data your WMS already produces — nothing that requires new hardware or a fresh integration. That combination is what lets pick pace get compared against the remaining order count and dock availability against the truck schedule in real time, rather than reconstructed after the trailer has already left. The first read of where your waves are trending against their cut-offs runs on data you're already generating today.
Does batch size adapt as the cut-off approaches?
Yes. As a cut-off approaches, the batch size shrinks to fit what can still realistically be picked and staged in the time left, rather than holding a large run that misses the trailer. A priority order lands in the next wave that's about to close, not the one that happens to be building next, so the batch that actually leaves is the one the remaining time can deliver.
How does this differ from a WMS report?
A WMS report typically confirms a cut-off was missed after the shift closes. WareBee runs pick pace and dock availability against the truck schedule continuously through the wave, so the same drift that would show up as a missed-SLA line in tomorrow's report is visible hours before the deadline — early enough to reallocate pickers or re-sequence the work, not just explain afterwards why the truck left without an order.
Can it prioritise between two colliding cut-offs?
Yes. Task scheduling sequences work by priority, location and resource availability rather than a single fixed queue, so when two waves are both closing in on their cut-off, the one with the least buffer left is worked first and batch and dock assignments adjust to fit what each remaining window can still clear. Nothing is decided by which cut-off happens to be listed first on the board.
Once a supervisor approves it, does the recovery sequence reach the WMS or stay a suggestion?
Yes. Once a supervisor approves the recovery sequence, it lands in the WMS as the re-batched pick lists and revised dock assignment that wave now runs on — not a suggestion a supervisor has to translate into instructions by hand. Because the re-plan only touched the tasks the disruption actually affected, the rest of the shift's schedule stays exactly as it was, so nobody has to re-check work that was never at risk. Actuals flow back once the wave clears, so the next cut-off read starts from what genuinely happened, not from the plan that nearly missed it.