Is Average Retail Inventory Accuracy 63%?

Short answer: A 2014 GS1 US paper said RFID could raise inventory accuracy from an average of 63% to 95%. It cited Auburn University RFID Lab studies, but it did not establish 63% as a universal 2023 retailer average.

Last updated: August 2026

Where the 63% figure comes from

The GS1 US white paper Commonly Asked RFID Questions: Dispelling the Myths is dated 30 September 2014. In its discussion of item-level RFID, it says RFID has the ability to raise inventory accuracy from an average of 63% to 95%. Attribution note 3 points to Auburn University RFID Lab studies.

That supports a 63%-to-95% comparison in the paper's RFID context. It does not support dating the benchmark to 2023, treating 63% as the current average for every retailer or promising that every RFID implementation reaches 95%. The original version of this page made those boundaries unclear.

Define inventory record accuracy before comparing rates

Inventory record accuracy asks whether a system record agrees with a physical count at a defined grain and time. A useful SKU-location measure is:

accurate SKU-location records ÷ checked SKU-location records × 100

The result depends on the tolerance. An exact-unit test counts a record as accurate only when the quantities match. A looser test may allow a stated unit or percentage variance. Rates from different tolerances, locations, product types or count methods are not directly comparable.

Why a retailer's rate can differ from 63%

• Count scope: stores, warehouses and in-transit stock may not use the same controls.
• Transaction timing: late receipts, picks, returns and transfers create temporary gaps.
• Item characteristics: size, tagging, loss exposure and unit of measure affect count quality.
• System design: duplicate locations, bundles and unrecorded adjustments can distort the record.
• Counting method: a blind physical count is different from confirming the quantity shown on screen.

For an internal baseline, freeze the cutoff, count a documented sample, reconcile every variance and retain the raw numerator and denominator. Repeat the same method before claiming improvement.

Where Forthmatch fits

Forthmatch is free software for Shopify merchants who want to monitor an existing 3PL through fulfilment speed, SLA compliance, damage rates and on-time shipping. It is not an RFID system, a physical inventory-counting service, a 3PL matching engine or a provider-verification service.

The 63% RFID benchmark can provide background for an inventory-control review, but it is not a Forthmatch result. Physical count and reconciliation controls remain the merchant's and warehouse operator's responsibility.

Frequently asked questions

Is 63% a current average for all retailers?

No. The located source is a 2014 GS1 US RFID paper. It presents 63% as the starting average in a 63%-to-95% RFID comparison.

Did Auburn University publish this result in 2023?

Not in the source used here. The 2014 GS1 US paper attributes the supporting evidence to Auburn University RFID Lab studies.

Does Forthmatch correct inventory records?

No. Forthmatch monitors specified performance measures for an existing 3PL; it does not perform physical counts or RFID reconciliation.