Inventory Stockout Rate Calculator
The stockout rate estimates how frequently demand lines were affected by unavailable inventory. It can help identify availability issues across a defined set of orders or order lines.
How to use this calculator
- Enter the same type of demand-line count for stockouts and all reviewed lines.
- Check that all inputs use the same units, period and population scope.
- Change one assumption at a time when comparing scenarios.
Formula used by inventory stockout rate calculator
Stockout rate = stockout-affected demand lines ÷ demand lines reviewed × 100%.
- Stockout rate = stockout-affected demand lines ÷ demand lines reviewed × 100%.
- The result depends on the unit counted: demand lines, SKUs, days or individual stockout events are not interchangeable.
- The tool validates inputs and rounds displayed figures for readability; it does not validate assumptions against external records.
Worked examples
Worked example
75 of 2,500 demand lines are affected by stockouts.
75 ÷ 2,500 × 100% = 3%.
The stockout-affected line rate is 3%.
Understanding the result
The stockout rate estimates how frequently demand lines were affected by unavailable inventory. It can help identify availability issues across a defined set of orders or order lines.
The result depends on the unit counted: demand lines, SKUs, days or individual stockout events are not interchangeable.
Important notes
The result depends on the unit counted: demand lines, SKUs, days or individual stockout events are not interchangeable.
Treat the result as an estimate from the entered assumptions. For safety, legal, engineering, health or commercial decisions, verify relevant specifications and professional guidance.
Frequently asked questions
Is this the same as inventory turnover?
No. Stockout rate measures availability failures; inventory turnover compares usage or cost of goods with average inventory.
Can one line have multiple stockout events?
For this estimator, count each demand line once. Use an event-based method if you want event frequency.
How should I interpret this result?
The result depends on the unit counted: demand lines, SKUs, days or individual stockout events are not interchangeable.
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This page provides a calculation tool plus explanatory information so you can understand what the result means and when the underlying method may not fit your situation.