Unit fill rate
Inputs: 12,000 units requested and 11,400 shipped.
11,400 ÷ 12,000 × 100 = 95.00%. The 600-unit shortfall is 5.00%, which meets a 95% target exactly.
Fill rate is the percentage of requested demand filled on the first pass: shipped ÷ requested × 100.
Use this fill rate calculator for unit, order, line, case, warehouse, vendor, or backorder-based fill rate, with target gaps and step-by-step substitution.
Measures requested units filled from available inventory.
Total demand requested before cancellations or substitutions.
Quantity filled on the first shipment.
Unfilled quantity carried to backorder.
Use 95%, 97%, or 99% benchmarks, or enter your own target.
| Row label | Requested | Shipped | Backordered | Fill rate | Action |
|---|---|---|---|---|---|
| — | |||||
| — | |||||
| — |
Assumptions: Fill rate measures first-pass fulfillment. Requested quantity must be greater than zero. Partial shipments count only for the amount shipped. Backorders represent demand not filled on the first pass.
When the backorder formula is enabled, the filled count is derived as requested minus backordered. If shipped is greater than requested, the calculator caps the fill rate at 100% for the result and flags the over-shipment so you can review the source data.
Calculations run locally in your browser and are not sent to Starlight Tools.
Fill rate measures how much requested demand was filled immediately. It is commonly used in logistics, ecommerce, wholesale distribution, manufacturing supply, warehouse operations, and vendor scorecards.
Standard fill rate: Shipped ÷ Requested × 100
Backorder fill rate: (Requested - Backordered) ÷ Requested × 100
Requested units filled. Best for SKU availability and inventory planning.
Complete orders filled without shortfall. Best for ecommerce and customer service.
Order lines filled completely. Best when each line item matters operationally.
Requested cases filled. Best for wholesale, pallet, and case-pack operations.
Warehouse requests filled from available stock. Best for site or DC comparison.
Purchase or replenishment requests filled by a supplier. Best for vendor performance reviews.
Targets depend on margin, lead time, demand volatility, and customer promise. Many teams use 95% as a minimum service threshold, 97% as a strong operating target, and 99% for critical or high-priority items.
Low fill rate is often caused by inaccurate forecasts, late suppliers, reorder points set too low, insufficient safety stock, allocation rules that favor one channel, warehouse picking errors, master-data errors, or demand spikes that exceed the planning model.
Review reorder points, safety stock, supplier reliability, forecast error, allocation logic, substitution policy, cycle count accuracy, and order-picking accuracy. Segment targets by SKU class so critical items receive higher service buffers than slow-moving items.
Inputs: 12,000 units requested and 11,400 shipped.
11,400 ÷ 12,000 × 100 = 95.00%. The 600-unit shortfall is 5.00%, which meets a 95% target exactly.
Inputs: 2,000 orders requested and 1,930 complete orders shipped.
1,930 ÷ 2,000 × 100 = 96.50%. This is below a 97% target by 0.50 percentage points.
Inputs: 8,500 order lines requested and 8,245 lines filled.
8,245 ÷ 8,500 × 100 = 97.00%. Line-level service is on target if the benchmark is 97%.
Inputs: 4,000 cases requested and 260 cases backordered.
(4,000 - 260) ÷ 4,000 × 100 = 93.50%. The backorder volume points to a 6.50% unfilled share.
Fill rate is the percentage of requested units, orders, lines, cases, warehouse requests, or vendor requests filled on the first pass.
The standard formula is shipped ÷ requested × 100. With backorders, use (requested - backordered) ÷ requested × 100.
Unit fill rate measures quantity filled, while order fill rate measures complete customer orders filled without shortfall.
Line fill rate measures the share of order lines filled completely on the first shipment.
Fill rate is one service-level metric. Service level may also refer to availability, cycle service level, or customer promise performance.
Fill rate measures how much was filled. OTIF measures whether the order was delivered on time and in full.
Perfect order rate is broader because it usually includes completeness, on-time delivery, damage-free delivery, and documentation accuracy.
Operational fill rate should normally be capped at 100%. If shipped exceeds requested, review over-shipments or data quality.
Use a consistent policy. If cancellations represent unmet demand, keep them in requested quantity; if they are customer-requested before fulfillment, many teams exclude them.
Measure at the cadence used for replenishment and service review, commonly weekly for operational control and monthly for management reporting.
Improve reorder points, safety stock, supplier reliability, forecast accuracy, allocation rules, warehouse accuracy, and master-data quality.
Yes. All calculations run locally in your browser.