S&OP, Demand Planning & Forecasting calculator
Inventory Projection Accuracy Calculator
Inventory Projection Accuracy measures how often your projected on-hand and available-to-promise positions actually matched reality within an acceptable tolerance. Supply planners, inventory analysts, and S&OP leaders use it to judge whether the projected balances driving replenishment and allocation decisions can be trusted. It matters because every downstream decision, when to reorder, what to promise a customer, where to redeploy stock, rests on those projections; when they miss, you get surprise stockouts or bloated safety stock. The calculator turns a pile of hits and misses into a single accuracy rate and, just as importantly, the point gap to the target you committed to.
What this calculator does
- Estimate inventory projection accuracy for sandop, demand planning and forecasting using production-ready inputs so teams can track KPI performance and decide whether corrective action is needed.
- Use it when inventory projection accuracy in s and op, demand planning and forecasting needs a clean rate and gap-to-target you can put on a tier board.
- It computes the percentage of inventory projections that fell within tolerance and the point gap between that rate and your target.
Formula used
- Inventory projection accuracy rate = inventory projection accuracy count ÷ total inventory projection accuracy population × 100
- Inventory projection accuracy gap to target = target inventory projection accuracy rate − inventory projection accuracy rate (positive = below target)
Inputs explained
- Inventory projections within tolerance:
- Total inventory projections evaluated:
- Target projection accuracy rate:
How to use the result
- Use it in a monthly planning review to grade projection reliability and track it against an accuracy target over time.
- A single accuracy rate hides where the misses concentrated; a portfolio can hit target overall while critical A-items project poorly, so segment before trusting the aggregate.
Current U.S. benchmarks
- The producer price index for steel mill products stands at 374.203 (BLS, Jul 2026), up 22.5% from a year earlier. Quotes priced off last quarter's material cost miss this move.
- The U.S. has 3,569 primary metal manufacturing establishments employing about 354,911 workers (Census County Business Patterns, 2023).
Common questions
- How do you calculate inventory projection accuracy? Divide the projections within tolerance by total projections evaluated and multiply by 100. Here 210 of 250 gives 210 / 250 x 100 = 84%, and against a 85% target that is a 1-point gap.
- What is a good inventory projection accuracy rate? Strong supply planning teams project inventory within tolerance 85-90% of the time at the item level. The 84% example sits just under that band, a point below its 85% target.
- Why is the gap to target reported separately? The rate tells you where you are; the gap (1 points here) tells you how far from commitment you are and sizes the improvement needed, which is what a review board acts on.
- What causes low projection accuracy? Bad lead-time data, missed supply receipts, unrecorded consumption, and forecast error all corrupt projected balances. At 84%, chase the specific items missing tolerance rather than suspecting the whole model.
- Projection accuracy vs forecast accuracy, what's the difference? Forecast accuracy grades predicted demand; projection accuracy grades the predicted inventory balance, which depends on demand, supply, and current on-hand together. You can forecast demand well and still project inventory poorly if supply timing is wrong.
Last reviewed 2026-08-12.