Warehouse metrics
How long a pallet waitsbetween the dock and its slot.
Putaway cycle time is the stretch between a unit becoming ready to store and the moment it's confirmed at its assigned location, available to pick or replenish from. WareBee times it from the putaway task's creation to its confirmation event, wherever those events come from — a scan, a terminal or a forklift's own telematics — so the figure reflects what actually happened between dock and slot, not an assumed pace.
See why the pick face runs dry
What it is
From task creation to shelf, tracked the whole way.
On WareBee's digital twin, putaway cycle time runs from the moment a unit is ready to be stowed — received, staged, or a putaway task raised — to the moment that task is confirmed complete at its assigned location and reflected in stock. Each stage is captured as its own event, whether it arrives as a scan, a terminal confirmation or telematics off the equipment moving the pallet, so the figure for a given unit is built from what actually happened between dock and slot rather than a shift average applied after the fact.
The number moves with how far a pallet has to travel, how many other tasks are competing for the same equipment and labour, and where in the queue that particular putaway sits relative to everything else waiting. A task queued by arrival order rather than by what depends on it can sit behind lower-priority work even while a pick face downstream is counting on it landing first, and distance to an assigned location matters just as much as how busy the floor is.
Two pallets can take wildly different times to put away for entirely legitimate reasons — one crossing a compact fast-pick zone, another heading into deep reserve storage in a much bigger footprint. That's why WareBee checks putaway cycle time against a peer set matched on order profile, SKU count and footprint before it calls a number slow, and only after that comparison does the underlying cause — distance, queue position, equipment contention — become worth chasing.
What moves this number
Where the time between dock and slot actually goes.
Each one is measured on your digital twin from data you already generate, so a slow figure has a cause before it becomes a headline number.
Distance to the assigned location
A pallet routed to deep reserve storage takes longer to put away than one destined for the fast-pick zone next to the dock, and that difference is expected, not a fault.
The twin tracks travel distance for every putaway task alongside its assigned location, so a slow figure driven by a genuinely long journey reads differently from one driven by a task that should have been quick and wasn't.
Task queued by arrival, not by what depends on it
A putaway sitting behind lower-priority work delays every pick that was counting on it landing first.
Task scheduling tracks which putaway a downstream replenishment or pick actually depends on, so a queue ordered purely by arrival time doesn't leave a location running dry behind a low-priority task still waiting its turn.
Equipment and labour shared with other work
Putaway competes with picking, replenishment and dock unloading for the same trucks and people.
Labour and equipment for putaway are planned against the same pace as the rest of the floor's work rather than left to whoever happens to be free, so putaway doesn't lose that competition shift after shift the way an unplanned task usually does.
Location confirmed in the system, or just on the floor
A pallet can be physically stowed while the system still shows the task open, and that gap counts.
The twin reconciles the putaway confirmation event against actual location occupancy on an ongoing basis, so a task that's done on the floor but unconfirmed on screen doesn't quietly inflate the cycle time figure or leave a location looking empty when it isn't.
Where a pallet actually spends its time between dock and slot.
Once your putaway cycle time is read against a peer set matched on order profile, SKU count and footprint, the next question is where the time inside that figure is actually going — travel to a distant location, a queue position that ignored what depended on it, or equipment shared with other work. The same task-level events that build the figure break it down to cause, so the answer is specific rather than a guess about a generally slow floor.
From there it's a sequencing question, not a hiring one. WareBee's task scheduler already treats putaway as a dependency the picks and replenishment behind it rely on, so a location on track to be needed soon gets its putaway task prioritised ahead of one nobody's waiting on. A different queue order or location assignment can be tested on the digital twin against the same inbound mix before it changes anything for a live shift.
- Putaway cycle time read against a peer set matched on order profile, SKU count and footprint
- Every task broken down to travel, queue position and equipment, not blended into one average
- Queue order and location assignment tested on the twin before a live shift changes

Questions
Putaway cycle time: the questions that come up first.
What starts and stops the putaway cycle time clock?
The clock starts the moment a unit becomes ready to store — received, staged, or a putaway task raised against it — and stops when that task is confirmed complete at its assigned location with stock reflecting the move. WareBee captures both ends as events, whether they arrive as a scan, a terminal confirmation or telematics off the equipment moving the pallet, so the figure for a given unit comes from what actually happened rather than an assumed pace applied afterwards.
Is there a putaway cycle time I should be aiming for?
There's a range, not a single target — and the range itself shifts with distance to slot, how busy the equipment pool is, and how deep into the footprint a pallet is headed. That range only becomes readable once it's set against operations matched on order profile, SKU count and footprint, because a figure sitting comfortably inside one warehouse's normal spread could be a clear outlier once it's checked against a site with a shorter average travel distance or a much busier equipment pool.
Does putaway cycle time include the wait before the task is even created?
Only from the moment the task exists — the period before that, while a unit sits waiting to be staged or assigned, is a separate question about inbound flow and dock readiness rather than putaway execution itself. Keeping the two apart matters because the fix for a slow queue-to-task handoff is different from the fix for a slow task-to-confirmation stretch, and blending them into one number would hide which one is actually the problem.
Why would two pallets from the same truck have very different putaway times?
Usually because they're going to different places, or into a queue that isn't ordered by what depends on them. A pallet destined for a nearby fast-pick location with nothing else queued ahead of it will clear quickly; one heading to a distant reserve slot, or queued behind higher-priority replenishment work, will genuinely take longer, and that difference is expected rather than a sign that one task was handled worse than the other.
What data does a putaway cycle time reading draw on?
Putaway cycle time needs task creation and confirmation events, current location assignments and stock positions — the same exports your WMS already produces, with forklift or terminal telemetry sharpening the travel portion further if you have it. Nothing needs new instrumenting to get a first read; the task and confirmation events most operations already log are enough to see where a slow figure is actually coming from.
Does a re-sequenced putaway queue reach the WMS?
Yes. Once a revised task order or location assignment is approved, it goes out as the putaway tasks your WMS already runs on, so the sequence that cleared a stalled queue on the twin is the one the floor actually works to. Only the tasks affected by the change move — the rest of the queue keeps its existing order — and actuals flow back once the task completes, so the next read starts from what genuinely happened.