Demand variability
Uses daily demand standard deviation to protect against normal changes in sales or consumption.
Estimate the inventory buffer required to protect customer service levels against demand spikes, supplier delays, forecast errors, and lead-time uncertainty.
Select a method and enter demand, lead-time, variability, and inventory cost assumptions.
Safety stock is the inventory buffer held above expected demand during replenishment. The right amount balances customer-service protection against cash tied up in stock, storage cost, spoilage, damage, and obsolescence.
Uses daily demand standard deviation to protect against normal changes in sales or consumption.
Accounts for suppliers arriving earlier or later than their average delivery schedule.
Converts the desired in-stock probability into a statistical protection factor.
Combines expected replenishment demand with safety stock to create an actionable reorder trigger.
Shows the cash value of the buffer and its estimated annual inventory carrying expense.
Compares several service levels so you can see how a higher target changes stock requirements and cost.
Statistical methods work best with reliable historical demand and lead-time data. Simpler methods are useful when detailed variability measurements are unavailable.
Use when lead time is relatively stable but daily demand changes.
Use when both customer demand and supplier lead time fluctuate.
Use when maximum demand and longest observed lead time are easier to identify.
Choose a statistical, maximum-usage, or days-of-supply method based on the data available.
Add average demand, supplier delivery time, and any variability or maximum observations.
Select the desired service level and enter unit cost and annual inventory carrying rate.
See recommended safety stock, reorder point, coverage, inventory value, and annual carrying cost.
Safety stock is extra inventory held above expected replenishment demand. It protects the business when customer demand is higher than forecast or supplier delivery takes longer than expected.
The best formula depends on your data. With stable lead time, multiply the service-level Z-score by daily demand standard deviation and the square root of lead time. When both demand and lead time vary, use a combined-variability formula.
Many businesses begin around 95%, but the right target depends on lost-sales impact, customer expectations, product criticality, replenishment flexibility, margins, and inventory carrying cost. Higher service levels require progressively more safety stock.
Yes. A common reorder point equals expected demand during supplier lead time plus safety stock. If inventory is checked periodically, demand during the review period should also be included.
Demand standard deviation measures how widely actual demand varies around average demand. A higher value means demand is less predictable and normally requires a larger safety-stock buffer.
Recalculate safety stock whenever demand patterns, supplier reliability, service targets, product lifecycle, seasonality, unit cost, or lead-time variability changes. Fast-moving products may need monthly or even weekly review.