Supply Chain & Procurement worked example
Inventory Accuracy Rate at 99% target accuracy for your cycle-count program: a worked example
This scenario runs the inventory accuracy rate calculation on the strong side: 99% target accuracy for your cycle-count program, with every other input held at its documented default. Use it to track inventory accuracy against target in Supply Chain & Procurement.
The inputs for this scenario
- Records that matched the physical count: 485 records (unchanged)
- Total SKU locations counted: 500 records (unchanged)
- Target accuracy for your cycle-count program: 99 % (raised for this scenario; the documented default is 98)
Working through the calculation
- Applying the documented formula (Inventory accuracy = accurate records ÷ records counted × 100) to the inputs above produces each figure below.
- At this operating point the engine returns 97 % for inventory accuracy, the number this scenario is built around.
- At this operating point the engine returns 2 points for gap to target.
- At this operating point the engine returns 485 count for accurate records.
- At this operating point the engine returns 500 count for records counted.
How this compares with the baseline
- Against the tool's baseline example, where target accuracy for your cycle-count program sits at 98% and the headline result is 97 %, this scenario lands almost exactly on the baseline at 97 %.
- Use it after each cycle-count cycle or wall-to-wall physical inventory to trend accuracy and check against your program target. Treat this as a target state: the delta against the baseline quantifies what the improvement is worth before you commit to chasing it.
Results at a glance
- Inventory accuracy: 97 % (headline result)
- Gap to target: 2 points
- Accurate records: 485 count
- Records counted: 500 count
Run it with your numbers
- Every input above is editable in the live Inventory Accuracy Rate calculator, which recalculates instantly and can be shared with the inputs intact.
Last reviewed 2026-05-12.