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Calculate optimal safety stock levels, reorder points, and total inventory recommendations based on demand variability and lead time uncertainty.
Mean units sold per day
Supplier delivery time
Daily demand variability
Delivery time variability
Target in-stock probability
171 units
Buffer inventory needed
521 units
Order when stock hits this
350 units
Expected usage while waiting
346 units
Avg cycle stock + safety stock
The green shaded area shows the demand range covered by your safety stock at the selected service level. The reorder point line shows when to trigger a new order.
| Service Level | Z-Score | Safety Stock | Reorder Point |
|---|---|---|---|
| 90% | 1.28 | 133 units | 483 units |
| 95%(selected) | 1.65 | 171 units | 521 units |
| 97.5% | 1.96 | 203 units | 553 units |
| 99% | 2.33 | 242 units | 592 units |
Too little safety stock leads to stockouts, lost sales, and damaged customer relationships. Too much ties up working capital and increases holding costs. The optimal safety stock level balances the cost of carrying excess inventory against the cost of potential stockouts, considering your specific demand patterns and supplier reliability.
Choosing the right service level depends on your product, industry, and competitive dynamics. A 99% service level requires roughly 2.5x more safety stock than 90%, but may be essential for products where stockouts drive customers to competitors permanently. ERP systems like Odoo automate these calculations using real demand and lead time data.
ECOSIRE builds Odoo and Shopify inventory systems with automated reorder points, safety stock calculations, and real-time stock tracking.