Inventory Accuracy Calculator

Free web calculator from Retail Scan & Stock. No account or email required. Calculations stay in your browser; entered data is not sent to a server.

Use one count cutoff and consistent units. Absolute discrepancies must be added per SKU before totaling. Use the same currency for all monetary inputs.

Inventory Accuracy Calculator

Result

SKU-line accuracy
60%

This is a defined comparison with recorded stock, not a benchmark or probability. A negative score means absolute discrepancies exceed the recorded base; the result is not capped.

L = M / N × 100

Total SKU lines counted (N)
5
Exact matching SKU lines (M)
3

How to use this calculator

Select the measurement or holding-cost mode where available. Enter the required quantities using the labels and formula shown. Results update as you type. Copy result includes only the visible calculation summary; Reset clears all modes and values. Blank required fields need valid inputs before a result can be copied. The displayed examples are fixtures, not targets or recommended purchasing quantities.

Result · Inventory Accuracy Calculator

L = 3 / 5 × 100 = 60%

Aᵤ = (1 − 10 / 200) × 100 = 95%

Aᵥ = (1 − 38 / 580) × 100 ≈ 93.4%

Use one count cutoff and consistent units. Absolute discrepancies must be added per SKU before totaling. Use the same currency for all monetary inputs.

Read the worked example and guidance: Inventory Accuracy Formula: How to Measure Stock Accuracy After a Physical Count

Choose the accuracy measure before comparing results

Inventory accuracy describes how closely the stock you physically count agrees with the quantities recorded for the same items at the same time. The calculator offers three separate measures because a single percentage cannot describe every counting problem. SKU-line accuracy treats each counted line equally. Unit accuracy weights the comparison by recorded quantities. Value-weighted accuracy weights absolute quantity discrepancies by a consistent unit cost. None is universally superior, and none is a probability that the next item you pick will be correct.

Choose a metric using the radio controls, then enter its two aggregate inputs. The result updates immediately. Use Copy result to capture the selected metric, inputs, percentage and formula as plain text, or Reset to clear the figures. Switching metrics keeps their inputs separate. The example values are starting fixtures, not suggested targets. No sign-up or email is required, and the calculation data stays in your browser.

SKU-line accuracy: count exact matches

Enter the total number of valid SKU lines counted and the number whose physical quantity exactly equals the recorded quantity. Both inputs must be whole numbers. Matching lines cannot exceed the total, and a zero total produces an undefined percentage rather than a misleading zero score. With three matching lines out of five, the result is 3 / 5 × 100 = 60%. The published guide also demonstrates six matching lines out of ten, giving the same percentage.

An exact-match measure does not describe the size or financial significance of the remaining discrepancies. A line that differs by one unit and a line that differs by fifty units both count as unmatched. If your operation accepts a tolerance, document it separately and do not silently include tolerated differences as exact matches in this calculator. Keep the counted population and exclusion rules consistent when comparing periods.

Unit accuracy: aggregate absolute discrepancies

For each valid SKU, calculate physical quantity minus recorded quantity, take the absolute value, then add those magnitudes to obtain U. Enter B as the total recorded units for those same lines. The defined score is (1 − U / B) × 100. With B = 200 and U = 10, the result is 95%. Do not substitute total physical quantity for U. An overage of five units and a shortage of five units produce ten units of absolute discrepancy even though their signed net difference is zero.

Only combine quantities that are meaningful together. Mixing litres, kilograms and individual pieces creates an incoherent denominator. Use separate groups or a documented conversion basis. A high-volume item can dominate a unit-based measure. If discrepancies exceed the recorded base, the defined score becomes negative; the calculator preserves that raw result instead of capping it. A zero base is undefined. Investigate negative stock records before using this nonnegative-stock method.

Value-weighted accuracy: use one consistent cost basis

Multiply each SKU’s absolute quantity discrepancy by its unit cost, then sum those amounts as W. Calculate R by multiplying each recorded quantity by that same unit cost and summing over the same valid lines. Enter both monetary totals in one currency. The score is (1 − W / R) × 100. The guide’s fixture uses R = 580 and W = 38, producing approximately 93.4%. These values represent costs, not a mixture of selling prices and purchase costs.

A missing cost should be resolved or disclosed as an exclusion; it must not become a fabricated zero. An expensive SKU may dominate this measure while many cheap operational supplies remain inaccurate. Cost changes can alter the score without changing any quantity discrepancies. This measure describes quantity accuracy weighted by cost, rather than auditing accounting valuation. Report coverage and absolute discrepancy amounts alongside the percentage.

Use the result to guide a recount

Treat the result as a description of a defined count population. It does not establish theft, shrinkage, an accounting loss or a universal performance rating. Preserve the count cutoff, unit definitions and records used for the calculation. Check unmatched items, confirm product identity and units of measure, and review receipts, usage, returns and movements around the cutoff before adjusting records.

For a single SKU, use the linked variance calculator to inspect the signed difference. For a larger count, retain the original line-level evidence so another person can reproduce the totals. Follow the linked guide for the full example and reconciliation procedure. A higher percentage is useful only when the counting scope and method remain comparable.