Supply Chain KPIs: Inventory Turns, OTIF, Fill Rate and Record Accuracy Benchmarks

A handful of 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, with purchase price variance and forecast accuracy rounding out the set. Closing the gap on them frees cash and protects service at the same time.

Use the ranges below as reference points for spotting a gap worth investigating, not as targets. A superscript number links to a public source in the Sources list at the end. A figure marked no cited source is kept exactly as originally published because no public source stating it has been identified, so treat it as illustrative.

At a glance

Inventory turnover and days of supply

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 no cited source.

Days of supply is the same story inverted: 90 days is bloated and under 30 days is lean and responsive no cited source.

For the middle of the range, use the national average. In July 2026 the U.S. Census Bureau put the total manufacturing inventories-to-shipments ratio at 1.47, about 1.5 months or roughly 45 days of shipments¹. A year earlier the ratio was 1.56³.

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 no cited source.

How to measure

• Divide annual cost of goods sold by average inventory value to get turns.
• Express days of supply as inventory divided by average daily usage.
• Measure both monthly from the same source data every period.

What moves it

• ABC segmentation instead of a blanket cut.
• Shorter lead times and more frequent orders on slow A-items.

Track turns with the Inventory Turnover calculator, and price what the extra days cost with the Inventory Carrying Cost calculator.

On-time in-full

On-time in-full (OTIF) is the service KPI customers actually feel. World-class is 98 percent or better, and typical sits at 90 to 95 percent no cited source.

Below 85 percent triggers chargebacks from large retailers, often 3 percent of invoice value per late or short order no cited source.

OTIF is multiplicative, so both components matter. For example, 96 percent on-time times 97 percent in-full yields 93.1 percent OTIF when late and short orders occur independently (0.96 x 0.97 = 0.9312).

How to measure

• Count an order as a hit only if it arrives both on time and complete.
• Report the on-time and in-full halves separately as well as the combined figure.

What moves it

• Realistic promise dates.
• Safety stock sized to actual demand variability rather than gut feel.
• An end to the order-splitting that quietly destroys the in-full half of the metric.

Size buffers from demand variability with the Safety Stock Calculator.

Fill rate

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 no cited source.

Raising fill rate from 92 to 97 percent usually costs more safety stock, so tie the target to the item's margin no cited source. A high-margin A-item justifies 99 percent, while a low-margin C-item may sit at 90 percent on purpose no cited source.

How to measure

• Divide order lines filled complete from stock by total order lines.
• Set and report targets by item class.

What moves it

• Safety stock set item by item.
• Service targets tied to item margin.

Test what a higher service level costs in stock with the Safety Stock Calculator.

Inventory record accuracy

Inventory record accuracy underpins every other number, because a forecast built 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 no cited source.

The lever is ABC-driven cycle counting: count A-items monthly, B quarterly and C twice a year no cited source. That cadence catches drift long before an annual physical writeoff.

How to measure

• Divide locations counted with zero variance by total locations counted.
• Do not use aggregate dollar value, which hides offsetting errors.

What moves it

• ABC-driven count frequency.
• Counting at the location level.

Supplier on-time delivery

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 higher². Typical is 90 to 95 percent, and a supplier below 85 percent forces days of extra safety stock that shows up as carrying cost no cited source.

The world-class mark has a published precedent. The IndustryWeek Census of Manufacturers, a 2000 survey of U.S. plants, defined delivery leaders as plants with on-time delivery of at least 98 percent².

Roll OTD, quality PPM and price into a weighted supplier scorecard, targeting a composite above 90 out of 100 for approved suppliers no cited source.

How to measure

• Measure against a tight receipt window of plus or minus one day no cited source, not a loose week that flatters everyone.
• Weight OTD, quality and price into one composite score per supplier.

What moves it

• A tight, enforced receipt window.
• A weighted scorecard reviewed with each supplier.

Score and rank suppliers with the Supplier Scorecard calculator.

Purchase price variance and forecast accuracy

Purchase price variance (PPV) and forecast accuracy round out the set. Keep PPV within plus or minus 2 percent of standard cost across a commodity no cited source, and treat a persistent unfavorable trend as a signal to renegotiate or resource.

Forecast accuracy, measured as 100 minus mean absolute percentage error (MAPE), should reach 80 percent or better at the SKU-family level for stable items no cited source. Accuracy of 60 to 70 percent is common, and below 50 percent your safety stock is doing the forecast's job at a price no cited source.

Better forecasts shrink demand variability, which directly lowers required safety stock and lifts turns.

How to measure

• Compute PPV by commodity against standard cost.
• Compute forecast accuracy at the SKU-family level as 100 minus MAPE.

What moves it

• Renegotiating or resourcing when PPV trends unfavorable.
• Better forecasts for stable items.

When PPV moves, separate price from freight and duty with the Landed Cost Calculator and the Tariff Impact Calculator.

Sequence the improvements

Sequence improvements so gains compound instead of fighting each other. First fix record accuracy above 98 percent no cited source, 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.

For example, a plant that moves from 5 turns and 92 percent OTIF to 9 turns and 97 percent, at constant cost of goods sold, cuts average inventory by 1 minus 5/9, or about 44 percent. It releases that share of inventory value in cash while improving, not degrading, service.

How to build your own baseline

• Pick one KPI, write its definition down, and keep it fixed.
• Measure monthly from the same source data every period.
• Collect several months of your own data before you set a target.
• Compare against your own trend first and published ranges second.
• Record what changed in the process whenever a KPI moves.