Calculates optimal safety stock using demand and lead time variability, then produces a recommendation table comparing your current buffer against the ideal level with carrying and stockout cost…
Calculates optimal safety stock using demand and lead time variability, then produces a recommendation table comparing your current buffer against the ideal level with carrying and stockout cost estimates. Use it during inventory reviews or when setting replenishment policies.
Calculate optimal safety stock levels for these items. ITEMS: [For each item, provide:] - SKU/Item: [NAME] - Average daily demand: [X units] - Demand standard deviation: [X units/day] - Average lead time: [X days] - Lead time standard deviation: [X days] - Current safety stock: [X units] - Target service level: [X% — e.g., 95%, 99%] - Unit cost: $[X] - Stockout cost estimate: $[X per incident or per unit] For each item: 1. Calculate safety stock using the combined demand and lead time variability formula 2. Calculate reorder point (ROP) 3. Show the safety stock at 90%, 95%, and 99% service levels 4. Compare current safety stock to optimal — am I over or understocked? 5. Calculate the carrying cost of the recommended safety stock 6. Calculate the expected annual stockout cost at each service level Summarize with a recommendation table: SKU, current safety stock, recommended safety stock, change, annual carrying cost impact, and recommended service level.
Source: https://sureprompts.com/blog/ai-prompts-for-supply-chain