What it means
Define what a location record means, since large sites may use warehouse, zone, aisle, bin and pallet positions while a small shop may use a backroom shelf, and decide whether the measure tests exact bin, broader zone or warehouse. Count items by SKU, lot and status where those attributes matter, because a quarantined lot in the correct physical bay is not available stock if the system labels it saleable.
Check physical locations without simply confirming what the screen suggests: cycle counters should verify labels, units of measure, quantities and neighbouring positions, then record discrepancies with time and person, and blind counting can reduce confirmation bias. If a box says 12 but contains ten, counting boxes alone will overstate units, so verify whether a pick in progress or an unposted transfer explains the difference before adjusting the ledger.
Investigate causes, since goods may be put away before scanning, moved for an urgent pick, returned to the wrong shelf, or assigned to a full bin in the system, and similar packaging and unclear labels create mistakes. If a stocktake adjustment fixes the number but not the workflow, the same error will return, so analyse discrepancies by zone, product, shift and type of transaction, then improve labels, scanning, training or capacity.
Use the measure alongside service outcomes, since a higher location accuracy rate should reduce search time, short picks and late orders. If the metric improves but pickers still cannot find goods, perhaps checks avoid high-traffic bins or only test easy products, so include high-value, fast-moving and high-risk items in a sensible sample and ensure counters can report a problem without pressure to mark the record correct.
Correct records carefully by moving stock through an authorised transfer or adjustment with an audit trail, preserving lot and quality status, so that a location correction does not become an unexplained quantity write-off. If stock is truly missing, follow shrinkage and investigation processes, and check reservations and open orders after a correction so they point to stock that can actually be picked.
For owners, location accuracy converts recorded inventory into usable inventory. It makes sales promises more dependable and shows whether buying more stock is really the solution, or whether the business needs to find and control what it already owns.
In practice
Real-world examples.
Example
A warehouse has 40 filters overall but finds 15 in the wrong bin; a picker can only use them after the location is corrected. Until then, the system shows stock that the picking team cannot find, and orders are delayed.
Example
A pharmacy checks lot and status as well as shelf position before considering a medicine available for issue. A correct shelf with an expired or quarantined lot still counts as a mismatch, because the record and the usable status disagree.
Example
A retailer uses regular counts of fast-moving shelf locations to find repeated unscanned backroom transfers. The manager then adds a scan point at the backroom door, so moves are recorded as they happen.
Formula
Calculation
Location accuracy rate = Location-item records matching physical SKU, quantity and required status / Location-item records checked x 100
Worked example. An invented cycle count checks 200 location-item records. In 182, the SKU, quantity and status match the system.
- Location accuracy rate = 182 / 200 x 100 = 91%.
- Investigate the 18 differences, including items found in another location, rather than changing totals blindly.
State whether the measure requires exact bin, zone or site before comparing it over time. Suppose 11 of the 18 differences were found in the correct zone but the wrong bin, and 7 could not be found. Exact-bin accuracy stays at 91%, while zone-level accuracy is (182 + 11) / 200 x 100 = 96.5%. Both figures are useful, but they answer different questions, so report which one is being used.Case study
Seen in the real world.
This illustrative and entirely fictional example follows Oakline Components, an invented parts distributor. Its stock ledger showed enough valves to fill urgent orders, but pickers repeatedly arrived at empty bins. A full-site count found the total quantity was close to correct; stock had been moved to overflow shelves without location transactions. Oakline counted high-traffic bins, checked nearby positions and used authorised transfers to repair the location records.
It changed its put-away process so overflow moves required a scan before the pallet left the receiving area. Supervisors tracked location-item matches and short picks weekly, and investigated repeat errors in two crowded aisles. The owner had considered buying extra valves for safety stock. Better location control improved fulfilment without tying up more cash in stock already on site.
Watch out
Common mistakes.
- Reporting a correct company-wide stock total as proof that every bin is accurate.
- Fixing the quantity ledger without recording the physical move and preserving lot or quarantine status.
- Sampling only quiet locations while urgent picks fail in fast-moving areas.
Questions
People also ask.
How is this different from inventory accuracy?
Inventory accuracy checks recorded stock against physical stock; location accuracy requires it to be in the correct recorded place and status.
Does finding stock in another bin count as a match?
Not for exact-bin accuracy. It explains the discrepancy and allows correction, but the original location record was wrong.
How often should locations be checked?
Set a risk-based cycle, with more attention to fast-moving, high-value and frequently incorrect locations.
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