Higher Accuracy
System-to-physical variances are reduced through strict transaction discipline.
From inbound put-away to outbound dispatch, inventory control built for accuracy and speed.
Manual controls create mismatches between physical stock and system stock, resulting in stock-outs, overstocking, and emergency buying. We enforce scan-based inventory governance across operations.
Define storage logic, bin hierarchy, and handling classes by SKU behavior.
Inward, movement, and dispatch are captured through mandatory scans.
Risk-based cycle counting with root-cause correction and variance controls.
Define storage logic, bin hierarchy, and handling classes by SKU behavior.
Inward, movement, and dispatch are captured through mandatory scans.
Risk-based cycle counting with root-cause correction and variance controls.
System-to-physical variances are reduced through strict transaction discipline.
Better reorder control and visibility prevent overstock accumulation.
Live dashboards provide stock position by SKU, location, and age.
Inventory accuracy is usually discussed as though it were a measurement problem - count more often, count more carefully. It is really a process problem. Stock records drift because transactions happen that the system does not see, and no amount of counting fixes the cause; it only reveals the damage later.
The common sources are mundane. Material moved between locations without a transaction. A short-shipment received as complete because the paperwork said so. A return put back on the shelf without a receipt. A pick corrected physically but not in the system. Each is individually trivial and collectively decisive.
This is why accuracy improves when transaction discipline improves, and why it does not improve when audits increase. An operation that counts weekly and still permits untransacted movement will produce a precise measurement of an inaccurate record.
A full physical stocktake gives one accurate number a year, usually obtained by stopping the operation for a weekend. Cycle counting samples continuously - a defined slice of locations each day, weighted so fast-moving and high-value items come round more often than slow stock.
The reason to prefer it is not the labour saving. It is that a discrepancy found within days of occurring can still be explained, and one found eleven months later cannot. The value of a count is in the root cause it exposes, and root causes have a short shelf life.
A workable cycle-count programme needs three things: a classification that decides how often each item is counted, a rule for what constitutes a discrepancy worth investigating rather than adjusting, and a standing review of causes rather than of variances. Without the third, the programme measures drift without reducing it.
Inventory accuracy figures are widely quoted and rarely defined, which makes them hard to compare between providers. The same operation can report very different numbers depending on what is being measured.
Accuracy by location asks whether the system knows what is in each bin. Accuracy by SKU asks whether total quantity per item is right, which can be correct while every location is wrong. Accuracy by value weights the answer toward expensive stock and can look excellent while a high-runner component is unreliable. Whether tolerance is permitted, and how much, changes the figure again.
Before accepting or issuing a number, it is worth establishing which of those it is, whether it is counted or sampled, and whether adjustments are included. A defined 97 percent is more useful than an undefined 99.
Frequent stock mismatches across multi-zone warehousing operation.
99%+ Stock Accuracy
WMS transaction controls and cycle count design improved stock integrity within one quarter.
Read Full Case StudyYes. We run aging analysis and structured disposition actions with client approvals.