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Reorder Point & Safety Stock Calculator

Calculate reorder point and safety stock from average daily usage, lead time, demand variability and service level.

About this tool

Reorder Point & Safety Stock Calculator is a free, in-browser tool that tells you when to place a replenishment order so you do not stock out during the lead time. Enter your average daily usage, the lead time in days, an optional demand standard deviation, and a service level, and it returns the reorder point, safety stock, lead-time demand and the Z-value used. Nothing is uploaded.

Safety stock = Z × σ × √(lead time), where σ is the daily demand standard deviation and Z is the service-level factor (90% → 1.28, 95% → 1.645, 97.5% → 1.96, 99% → 2.33). The reorder point = average daily usage × lead time + safety stock, so it covers expected demand across the lead time plus a buffer sized to your chosen service level. Leave σ blank and safety stock is zero, giving the simple usage × lead-time reorder point.

Use it to set min levels in an inventory system: a higher service level or more variable demand raises the safety-stock buffer, protecting against stockouts at the cost of holding more inventory.

Frequently asked questions

How is the reorder point calculated?
Reorder point = average daily usage × lead time (in days) + safety stock. That covers the demand you expect during the lead time plus a buffer for variability.
How is safety stock determined?
Safety stock = Z × σ × √(lead time), where σ is the standard deviation of daily demand and Z is the service-level factor. It scales with both how variable demand is and how high a service level you choose.
What does the service level and its Z-value mean?
The service level is the probability of not stocking out during the lead time. It maps to a Z-value from the normal distribution: 90% = 1.28, 95% = 1.645, 97.5% = 1.96, 99% = 2.33. A higher service level means a larger buffer.
What if I do not know my demand variability?
Leave the standard deviation blank. Safety stock becomes zero and the reorder point reduces to average daily usage × lead time — a reasonable estimate when demand is steady. Everything is computed locally in your browser.

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