Supply Chain & Procurement worked example
Inventory Accuracy Rate at 71% target accuracy for your cycle-count program: a worked example
This worked example runs the inventory accuracy rate numbers for a tougher week than the baseline: 71% target accuracy for your cycle-count program instead of the typical 98%. Calculate inventory accuracy for Supply Chain & Procurement: accurate records as a share of records counted.
The inputs for this scenario
- Records that matched the physical count: 485 records (held at the documented default)
- Total SKU locations counted: 500 records (held at the documented default)
- Target accuracy for your cycle-count program: 71 % (the input this scenario stresses; the baseline uses 98)
Working through the calculation
- The calculation starts from the formula this tool documents: Inventory accuracy = accurate records ÷ records counted × 100.
- Inventory accuracy works out to 97 % at these inputs, and this is the headline figure for the scenario.
- Gap to target works out to -26 points at these inputs.
- Accurate records works out to 485 count at these inputs.
- Records counted works out to 500 count at these inputs.
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. A result at this level usually justifies acting on the stressed input before touching anything else, because every other figure in the table is downstream of it.
Results at a glance
- Inventory accuracy: 97 % (headline result)
- Gap to target: -26 points
- Accurate records: 485 count
- Records counted: 500 count
Run it with your numbers
- To rerun this with your own numbers, open the live Inventory Accuracy Rate calculator, set target accuracy for your cycle-count program to your actual value, and adjust the remaining inputs to match your operation.
Last reviewed 2026-05-12.