Analyze order, line, and unit fill performance instantly. Compare shipped, requested, backordered, and lost sales. Plan smarter replenishment using accurate ecommerce service metrics today.
Enter requested, shipped, and exception quantities to evaluate service quality across orders, order lines, and units.
Order Fill Rate (%) = (Orders Shipped Complete ÷ Orders Requested) × 100
Line Fill Rate (%) = (Order Lines Filled ÷ Order Lines Requested) × 100
Unit Fill Rate (%) = (Units Shipped ÷ Units Requested) × 100
Perfect Order Rate (%) = (Perfect Orders ÷ Orders Requested) × 100
Backorder Rate (%) = (Backordered Units ÷ Units Requested) × 100
Cancellation Rate (%) = (Canceled Units ÷ Units Requested) × 100
Short Units = Units Requested − Units Shipped
Estimated Lost Revenue = Short Units × Average Unit Price
Units Needed to Hit Target = ((Target Fill Rate ÷ 100) × Units Requested) − Units Shipped
| Period | Orders Requested | Orders Shipped | Lines Requested | Lines Filled | Units Requested | Units Shipped | Backordered Units | Perfect Orders |
|---|---|---|---|---|---|---|---|---|
| January | 1,200 | 1,110 | 3,850 | 3,605 | 9,800 | 9,305 | 355 | 1,038 |
| February | 1,340 | 1,272 | 4,120 | 3,980 | 10,420 | 10,115 | 210 | 1,205 |
| March | 1,410 | 1,320 | 4,360 | 4,080 | 11,200 | 10,710 | 335 | 1,248 |
Fill rate measures how much customer demand you fulfilled immediately from available stock. It shows whether orders, lines, or units shipped completely without shortages.
Each view highlights a different service issue. Order rate shows complete orders, line rate shows item assortment coverage, and unit rate shows total product availability.
Many ecommerce teams target 95% to 99% depending on product category, margin, and customer promises. Premium or subscription brands often aim higher.
No. High fill rate helps, but customers also care about delivery speed, order accuracy, packaging quality, and communication during exceptions.
Backorders reduce immediate fulfillment because demand was not met from available inventory. Rising backorders often signal forecasting or replenishment issues.
Yes. It multiplies short units by average unit price to estimate lost revenue exposure, helping teams prioritize inventory recovery efforts.
Common causes include inaccurate forecasts, supplier delays, poor safety stock settings, overselling, warehouse errors, and sudden promotional spikes.
Review it daily for fast-moving catalogs and weekly for slower assortments. Monthly reporting is useful for strategic trend analysis.
Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.