SC Benchmarks

Supply Chain KPI Benchmarks: Turnover, OTIF, Fill Rate, and Accuracy Targets

Target ranges for the KPIs that run procurement and inventory: turnover, OTIF, fill rate, days of supply, and accuracy, with the levers to close the gap.

Six KPIs tell you whether a supply chain is healthy: inventory turnover, days of supply, on-time in-full delivery, fill rate, inventory record accuracy, and supplier on-time delivery. Each has a wide gap between typical and world-class performance, and closing that gap frees cash and protects service at the same time. The targets below are directional ranges seen across discrete manufacturing and distribution. Measure them monthly from the same source data every period, and pair them with the Inventory Turnover, Supplier Scorecard, and Supplier On-Time Delivery calculators so trends are visible before they become writeoffs.

Inventory turnover separates the strong from the average clearly. Typical manufacturers run 4 to 6 turns a year, good operations hit 8 to 10, and world-class demand-driven shops exceed 12. Days of supply is the same story inverted: 90 days is bloated, 45 days is solid, and under 30 days is lean and responsive. The lever is mix, not a blanket cut. Segment A, B, and C items and drive slow A-items from 3 turns toward 6 by tightening lead times and order frequency, which alone can release 15 to 25 percent of tied-up working capital.

On-time in-full, or OTIF, is the service KPI customers actually feel. World-class is 98 percent or better, typical sits at 90 to 95 percent, and below 85 percent triggers chargebacks from large retailers, often 3 percent of invoice value per late or short order. OTIF is multiplicative: 96 percent on-time times 97 percent in-full yields 93.1 percent OTIF, so both components matter. The levers are realistic promise dates, safety stock sized to actual demand variability rather than gut feel, and killing the order-splitting that quietly destroys the in-full half of the metric.

Fill rate measures the share of demand met from stock, and it is not the same as OTIF. Line fill rate of 95 to 98 percent is the target for make-to-stock items, while 92 percent is common and anything under 90 percent means chronic stockouts. Raising fill rate from 92 to 97 percent usually costs more safety stock, so tie the target to the item's margin: a high-margin A-item justifies 99 percent, while a low-margin C-item may sit at 90 percent on purpose. The Stockout Cost Calculator tells you where a higher fill rate pays for itself.

Inventory record accuracy underpins every other number, because a forecast on wrong on-hand data fails silently. World-class cycle-count accuracy is 99 percent or better at the location level, typical is 95 to 98 percent, and below 95 percent your reorder points fire on fiction. Measure it as locations counted with zero variance divided by total locations counted, not by aggregate dollar value, which hides offsetting errors. The lever is ABC-driven cycle counting: count A-items monthly, B quarterly, C twice a year, which catches drift long before an annual physical writeoff.

Supplier on-time delivery and quality drive your inbound risk, and they set how much buffer you must carry. World-class supplier OTD is 98 percent or higher, typical is 90 to 95 percent, and a supplier below 85 percent forces days of extra safety stock that shows up as carrying cost. Track it in the Supplier On-Time Delivery calculator against a tight receipt window, plus or minus one day, not a loose week that flatters everyone. Roll OTD, quality PPM, and price into a weighted Supplier Scorecard, targeting a composite above 90 out of 100 for approved suppliers.

Purchase price variance and forecast accuracy round out the set. Keep PPV within plus or minus 2 percent of standard cost across a commodity, and treat a persistent unfavorable trend as a signal to renegotiate or resource. Forecast accuracy, measured as 100 minus mean absolute percentage error, should reach 80 percent or better at the SKU-family level for stable items; 60 to 70 percent is common, and below 50 percent your safety stock is doing the forecast's job at a price. Better forecasts shrink demand variability, which directly lowers required safety stock and lifts turns.

Sequence improvements so gains compound instead of fighting each other. First fix record accuracy above 98 percent, because every other KPI reads correctly only on clean data. Next raise supplier OTD and forecast accuracy, which together shrink the variability that safety stock exists to cover. Then tighten turns and days of supply, since you can safely hold less once inbound and demand are steadier. A plant moving from 5 turns and 92 percent OTIF to 9 turns and 97 percent typically releases 20 to 30 percent of inventory value in cash while improving, not degrading, service.

Published 2026-07-01.