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Warehouse metrics

From trigger to pickable,timed the whole way.

Replenishment cycle time is a duration: how long it takes from a replenishment being triggered — a threshold crossed, a task raised — to the stock being confirmed available to pick at that location. WareBee times both ends as events off the same task data your operation already produces, so the figure reflects what actually happened between the trigger and the shelf, not an assumed pace applied afterwards.

See what actually slows a restock
WareBee timeline tracking a replenishment task from trigger to confirmed pickable stock at the pick face

What it is

The clock between a trigger and a pickable location.

Replenishment cycle time is a duration, not a count or a level: the stretch from the moment a replenishment is triggered — a reorder point crossed, a task raised against a thinning location, a shortfall flagged before it becomes an empty shelf — to the moment that stock is confirmed available to pick at the location it was meant to feed. WareBee times both ends as events, whichever system raised the task or confirmed the count, so the figure for a given replenishment reflects what actually happened rather than a pace assumed after the fact.

It's a narrower question than putaway cycle time, which runs from a unit becoming ready to store to its confirmed stow at whatever location it's assigned — often reserve, sometimes the pick face itself on first receipt. Replenishment cycle time only starts once that stock already exists somewhere in the building and something has to move it from reserve to a specific forward location a picker is waiting on. The duration moves with how quickly the trigger fires relative to demand, where the task sits in a queue against everything else competing for the same labour and equipment, and how far the stock has to travel to reach the location it's feeding.

Ask whether a replenishment cycle time is slow and the honest answer is: slow compared to what? WareBee's comparison is a peer set matched on order profile, SKU count and footprint, never a flat duration lifted from somewhere else, because how far a task has to travel and how many other tasks compete for the same labour depend on the shape of the operation running it, not on a clock that would mean the same thing everywhere.

What moves this number

What decides how long the clock runs.

Each one is measured on your digital twin from data you already generate, so a long duration comes with a stage attached, not just a total.

How soon the trigger fires relative to demand

A reorder point set below what the remaining wave will actually draw starts the clock later than the location needs.

The twin checks the trigger point against live demand for that location rather than a fixed threshold set once and left alone, so the clock can start as soon as the shortfall is genuinely forming instead of after it's already visible on the floor.

Where the task lands in the queue

A replenishment ordered by arrival or by aisle proximity can sit behind work that isn't actually more urgent.

Task scheduling can instead sequence replenishment against which wave needs the location next, so a task that's been waiting the longest doesn't quietly outrank one a picker is minutes away from needing.

How far the stock has to travel to reach the face

A top-up from an adjacent reserve slot clears faster than one crossing the building from deep storage.

The twin measures travel for the replenishment move off the same navigation graph that solves pick routes, so a duration driven by genuine distance reads differently from one driven by a task that should have been quick and wasn't.

Who's free to run it when it fires

Replenishment and picking draw on the same labour pool, and picking against a visible order count usually wins the argument in the moment.

Planning replenishment labour against the same pick rate that sets picking labour, rather than leaving the two to compete for whoever's free, is what keeps a triggered task from sitting unstarted while the clock keeps running.

A slow restock and a slow pick are different problems.

Once a replenishment cycle time is read against a peer set matched on order profile, SKU count and footprint, the next question is which stage of the duration is actually long — trigger timing, queue position, travel, or labour availability. The same task-level events that build the figure break it down to stage, so a slow reading points at a specific cause rather than a generally slow floor.

From there it's a sequencing question, not a headcount one. WareBee's task scheduler treats replenishment as a dependency the pick relies on, so a trigger fires against what the wave actually needs and a task is prioritised ahead of work nobody's waiting on. A revised trigger point, queue order or labour plan is proven on the digital twin against your own task history before it changes anything for a live shift.

  • Every replenishment cycle broken down to trigger, queue, travel and labour, not blended into one total
  • Duration read against a peer set matched on order profile, SKU count and footprint
  • Trigger and sequencing changes tested on the twin before they reach a live task list
See replenishment sequenced against the pick
WareBee breaking a replenishment cycle down into trigger, queue position, travel and labour stages

Questions

Replenishment cycle time, stage by stage.

  • Where does a replenishment cycle actually begin and end?

    The clock starts the moment a replenishment is triggered — a reorder point crossed, a task raised against a thinning location, a shortfall flagged before the shelf actually empties — and stops when that stock is confirmed available to pick at the location it was feeding. WareBee captures both ends as events, so the duration for a given replenishment reflects what actually happened rather than a pace assumed after the fact.

  • Is replenishment cycle time the same as putaway cycle time?

    No, though the two sit close together. Putaway cycle time runs from a unit becoming ready to store to its confirmed stow at whatever location it's assigned — reserve, or the pick face itself on first receipt. Replenishment cycle time only begins once stock already exists in the building and something has to move it from reserve to a specific forward location a picker is waiting on, so the two measure different legs of the same journey.

  • Is 'replenishment cycle time' a term you'd find on a standard report?

    Not under any fixed definition — it's WareBee's own plain name for a duration the twin already times end to end. There's no published version of this measure it's borrowed from, and it carries no external threshold; what's defined here is how WareBee computes it from your own trigger and confirmation events, described in the operation's own terms rather than a report's.

  • How is a slow replenishment cycle time different from a low pick-face fill reading?

    They describe different things about the same location. Pick-face fill is a level — how full the location is at a point in time, typically wave start. Replenishment cycle time is a duration — how long a specific restock takes once triggered. A location can have a perfectly normal fill reading and still carry a slow cycle time on the tasks that do fire, or a low fill reading with a fast cycle time that simply hasn't caught up yet.

  • Why not hold cycle time to one flat duration?

    Distance to travel and how much labour has to share the floor both set a natural floor under this duration, and neither one is constant across warehouses. WareBee's peer set — order profile, SKU count and footprint — is what accounts for that: a duration only gets checked against operations moving stock through a genuinely similar footprint, so a task in a large, spread-out layout isn't held to the same expectation as one in a compact zone with everything close at hand.

  • Once a replenishment task is resequenced, does the WMS actually run the new order?

    Yes. Once a revised trigger point, queue order or labour plan is approved, it goes out as the replenishment tasks your WMS already runs, timed to clear ahead of the wave that needs the stock. Only the tasks actually driving a slow duration change — the rest of the queue keeps its existing order — and confirmation events flow back afterwards, so the next reading starts from what genuinely happened.