What it means
A pick face reaches a trigger level and a replenishment task is issued from reserve stock. Warehouse replenishment task completion lag measures how long the eligible task remains open before the required physical movement is verified.
Start with the task's release or actionable time, not when a planner drafted a future wave, and classify a task held pending inventory availability separately until workers can actually perform it. End with confirmation that the right item and quantity reached the approved pick location, because a scanner acknowledgment at the reserve bin alone is not completion when the pallet remains in transit.
Compare transfer scans with a sampled physical pick-face check, as a scan of a label in the driver's hand cannot establish that stock was placed in the requested bin. Use item, lot, status and location IDs to follow the transfer, since moving the wrong lot leaves a customer or quality requirement unmet.
Oracle documents replenishment task setup and how replenishment-dependent picking can be held or released, and those workflows illustrate dependencies while local configuration determines when a task is eligible and how the final move is confirmed. Set the unit as a task or required movement and publish how partial completion is treated, because if ten cases are needed and only two arrive, calling the entire task complete masks a live pick risk.
For split replenishment, record each delivered portion and the remaining need, as customer orders may resume after a critical minimum quantity arrives even when the larger task remains open. Check the source bin before assuming a delay is a labour problem, since a reserve slot showing stock that is physically empty sends workers on a task that cannot be finished as planned, and reserve stock on quarantine or hold should not be included in available replenishment supply.
A delayed task may call for inventory investigation rather than a faster forklift. Keep unit conversion visible, because a source pallet counted in cases and a pick face counted in eaches need an explicit conversion or the completed quantity may be overstated.
Define the clock in calendar minutes or working minutes, state exclusions such as blocked aisles, and preserve gross elapsed time alongside any paused service-level clock. Where a short pick generates an emergency replenishment, keep the original discovery and task release times, since an emergency flag added later should not erase the time the pick face had already been empty, and when a task selects a different reserve bin mid-route, retain the approved reroute and original task ID because recreating the task can make the measured lag appear shorter than the real wait.
Separate automatic task creation from actual release, since rules may generate multiple drafts for the same shortage and these should be deduplicated before treating each as a missed service event. For a wave with several picks depending on one replenishment, link the affected orders without counting the single task several times, and report customer exposure separately from the number of physical moves, while tracking the task queue by age, priority and promised dispatch cut-off, because one delayed high-demand SKU near a shipping deadline needs more attention than an average lag across nonurgent items.
Do not confuse putaway with replenishment, as new receipts arriving at a reserve bin can improve available stock while the customer-facing pick face is still empty. Audit unusual fast completions as well as slow ones, since repeated near-instant moves across distant warehouse zones may point to pre-confirmed tasks, and compare lag with pick-face stockouts and order delays so the measure explains service interruptions rather than pushing teams to mark tasks complete without moving stock.
In practice
Real-world examples.
Example
A task releases at 09:00 and ten correct cases reach the pick face at 09:27; its completion lag is 27 minutes.
Example
Two of ten cases arrive. The partial transfer is logged, but the full task remains open under the declared rule.
Example
A task points to a reserve bin whose inventory is quarantined. It becomes an exception for inventory review rather than a completed replenishment.
Formula
Calculation
Illustrative lag = verified complete placement time minus actionable task release time. Report open-task age and cancellations separately; use one declared clock.
Worked example. A task releases at 09:00 and ten correct cases reach the pick face at 09:27, so its lag is 27 minutes. Two other tasks the same morning have lags of 15 and 48 minutes.
Mean lag = (27 + 15 + 48) / 3 = 90 / 3 = 30 minutes, and the median is 27 minutes. The 48-minute task is investigated individually, and any cancelled tasks are listed with their reasons rather than being counted as completed moves.Case study
Seen in the real world.
This fictional case follows Bridge Retail. A popular part showed available inventory, but pickers repeatedly found its face empty. The dashboard showed fast replenishment because staff closed tasks on pickup from reserve. The site changed completion to require a destination scan and sampled shelf checks, exposing an aisle access delay it could address. This case describes an invented warehouse and no real system performance.
Watch out
Common mistakes.
- 1. Ending the clock when stock leaves reserve instead of reaching the pick face.
- 2. Counting a partial delivery as full task completion without disclosing the remaining need.
- 3. Restarting the timer after rerouting a blocked task to make the delay disappear.
Questions
People also ask.
Does a held task count?
Declare when it becomes actionable and show held time separately if excluded from the service clock.
What if demand is cancelled?
Close with a documented cancellation reason rather than treating it as a completed move.
Does a low lag guarantee no stockouts?
No. Trigger timing, inventory accuracy and physical pick availability also matter.
From the founder's library

Take it further with the book.
Build your financial confidence beyond this definition. Shihan's full-length guide, Accounting Fundamentals, takes the same plain-English approach and turns it into a complete, practical playbook for non-finance managers, business owners and students - with chapter-end quiz answers and presentation slides included.
25% off with code MMHQ25, applied at checkout. Priced in USD - checkout may show the equivalent in your local currency.
View the book and save 25%Related
