AQL Sampling Explained: How AQL Inspection Works for Clothing Orders
AQL sampling decides whether a production order passes inspection. Here is what AQL 2.5 and 4.0 mean, how to read an AQL table, sample sizes for typical apparel orders, and how garment defects are classified.
Alex Morgan
Senior Sourcing Specialist Β· SourceBridge
What AQL Means
AQL stands for acceptance quality limit, still widely called acceptable quality level. It is the defect rate a buyer is prepared to tolerate in a production lot, expressed as a percentage, and it is the setting that decides how a pre-shipment inspection reaches a pass or fail verdict.
AQL sampling is the method behind that verdict. Instead of checking every garment in an order, an inspector pulls a random sample of a size set by the order quantity, examines each unit against the approved sample and the specification, counts the defects, and compares the count with an acceptance number from a published table. At or below the acceptance number, the lot passes. At or above the rejection number, it fails.
The tables come from ISO 2859-1, the international standard for sampling by attributes, and from ANSI/ASQ Z1.4, its American counterpart. The two use the same sample size code letters, sample sizes and acceptance numbers for the plans most buyers use, so an AQL report from a factory in Turkey, Portugal or Vietnam reads the same way.
This guide explains what AQL numbers mean, how to read an AQL table, what sample sizes look like for real apparel order quantities, how defects are classified on garments, and what to agree with a manufacturer before the inspection rather than after it. It is written for private label and DTC brands placing a first or early production run, whether through a factory you found yourself or a sourcing partner such as SourceBridge, which works with clothing and home-textile manufacturers in Turkey.
Why AQL Matters When You Order Clothing Production
A production order is the point where a brand stops paying for samples and starts paying for inventory. Once goods have left the factory, a defect costs freight, duty and warehouse handling on top of the garment itself, and for an Amazon seller it can also cost returns, reviews and a listing's standing. Finding the problem while the order is still in the factory, where it can be sorted, reworked or remade, is far cheaper than finding it at your warehouse.
AQL gives both sides a shared, written rule for that moment. Without it, a pre-shipment inspection is an opinion. With it, the factory knows before production starts how the goods will be judged, the inspector knows how many units to pull and what counts as a failure, and the brand has a documented basis for asking for rework instead of an argument.
It also keeps inspection proportionate. Checking every unit of a 3,000-piece order is slow and expensive; checking 125 units chosen at random gives a statistically grounded picture of the whole lot in a fraction of the time.
What the AQL Numbers Mean
AQL values run in a fixed series: 0.065, 0.10, 0.15, 0.25, 0.40, 0.65, 1.0, 1.5, 2.5, 4.0, 6.5 and higher. Lower numbers are stricter.
An AQL of 2.5 means that a production lot with a defect rate of around 2.5 percent or better will be accepted most of the time. It does not mean the shipment is guaranteed to contain no more than 2.5 percent defective units, and it does not mean that 2.5 percent of the sample may be defective. A sample gives you a probability, not a certainty: a lot that is slightly worse than the limit can pass by chance, and a lot that is slightly better can occasionally fail.
In practice, buyers set a different AQL for each class of defect:
These are common starting points, not rules. The right setting depends on the product, the price point and how much a defect costs you once it reaches a customer.
How AQL Sampling Works: Lot Size, Inspection Level and Sample Size
An AQL inspection plan is built from three inputs: the lot size, the inspection level and the AQL itself.
The lot size is the quantity being inspected. For a single-style order it is usually the full order quantity. For an order with several styles or colourways, agree in writing whether the whole shipment is one lot or each style is inspected as its own lot, because that changes the sample size.
The inspection level sets how large the sample is relative to the lot. ISO 2859-1 defines three general levels and four special levels:
The sample size then follows from the lot size and the inspection level, and the AQL gives the acceptance and rejection numbers for that sample.
How to Read an AQL Table
Reading an AQL chart takes two steps.
Step one: find the sample size code letter. The first table lists lot size ranges down the side and inspection levels across the top. Find your lot size, read across to your inspection level, and note the letter. At General Inspection Level II, a lot of 281 to 500 units is letter H; 501 to 1,200 is J; 1,201 to 3,200 is K; 3,201 to 10,000 is L.
Step two: find the sample size and the acceptance numbers. The second table lists the code letters down the side, each with its sample size, and the AQL values across the top. Letter H means a sample of 50 units, J means 80, K means 125 and L means 200. Read across from the letter to the AQL column you chose. The cell gives two numbers: Ac, the acceptance number, which is the highest defect count at which the lot still passes, and Re, the rejection number, at which it fails.
Some cells contain an arrow instead of numbers. An arrow means there is no plan for that combination; follow the arrow to the first cell that has numbers and use that cell's sample size as well as its Ac and Re.
The values in this guide are for single sampling under normal inspection, which is what a standard pre-shipment inspection uses. ISO 2859-1 also defines tightened and reduced inspection, with switching rules for moving between them based on a supplier's recent results.
AQL Sample Sizes for Typical Apparel Orders
These worked examples use General Inspection Level II, single sampling, normal inspection, with the common settings of 2.5 for major defects and 4.0 for minor defects.
Majors and minors are counted and judged separately. A lot fails if either count reaches its rejection number, and it fails on any critical defect.
Two practical points follow from the table. First, the sample does not grow in step with the order: 300 units means a 50-piece sample, 3,000 units only 125. Second, on a small first order a handful of defects decides the result, which is one more reason to settle the defect definitions before production rather than during the inspection.
How Defects Are Classified on Garments
The classification of a defect matters as much as the AQL. A loose thread counted as a major defect fails lots that should pass; a wrong size label counted as minor passes lots that should fail. Write the classification into the purchase order or the inspection checklist. Typical apparel examples:
Agree, too, whether the inspector counts defects or defective units. A garment with three separate faults can be recorded as three defects or as one defective unit, and the two approaches give different results against the same acceptance number.
What a Garment AQL Inspection Checks
The AQL count covers the visual workmanship check on the sample. A full pre-shipment inspection for apparel also includes checks that are not counted against the AQL in the same way:
When to Inspect: Before, During and After Production
AQL sampling is most often applied at the final stage, but an order can be checked at several points:
For a first order from a new factory, a during-production check alongside the pre-shipment inspection is worth considering. For a repeat order of an established style, a pre-shipment inspection alone is common.
What Happens When a Lot Fails
A failed AQL inspection is not the end of the order. It is a documented reason to act before shipment. The usual options are:
Agree in advance who pays for a re-inspection and how much time the factory has to rework. Payment terms that hold the balance until after a passed inspection give both sides a clear reason to settle a failure quickly.
What to Agree With Your Manufacturer Before Production
An AQL inspection works when the standard is settled before the goods exist. Put these points in writing with the purchase order:
These points belong in the same conversation as minimum order quantity, sampling and lead time. The guide to how to find a clothing manufacturer covers the questions to ask before a sample, and the landed cost calculator includes a line for pre-shipment inspection when you compare origins.
How SourceBridge Handles Inspection
SourceBridge works with clothing and home-textile manufacturers in Turkey for private label and Amazon brands, with a minimum order quantity of 300 units per style for most textile products. Production follow-up is part of the service: once the sample is approved, SourceBridge oversees production and carries out a pre-shipment inspection at the factory, comparing the finished goods against the approved sample. Buyers receive photo documentation and AQL inspection reports before goods ship.
If you are preparing a first production order and want the inspection standard agreed at the quoting stage, see textile sourcing or read clothing manufacturers for startups for how small first orders are structured.
FAQ: AQL Sampling and Inspection
What does an AQL of 2.5 mean?
It means a production lot with a defect rate of around 2.5 percent or better will be accepted most of the time. In an inspection it sets the acceptance number for the sample: for a 3,000-unit order inspected at General Inspection Level II, an AQL of 2.5 means a sample of 125 units with up to 7 major defects accepted and 8 rejected. It is the most common setting for major defects in consumer apparel.
What does an AQL of 4.0 mean?
AQL 4.0 is a looser limit, most often used for minor defects. For a 3,000-unit order at General Inspection Level II, it means up to 10 minor defects are accepted in the 125-unit sample and 11 fail the lot.
What does an AQL of 1.0 mean?
AQL 1.0 is a stricter limit than 2.5, used for major defects by brands with a higher price point or a low tolerance for returns. For a 3,000-unit order at General Inspection Level II, the sample is still 125 units, but only up to 3 major defects are accepted and 4 fail the lot.
How do you read an AQL chart?
Use two tables. In the first, find your lot size and read across to your inspection level, usually General Inspection Level II, to get a sample size code letter. In the second, find that letter to get the sample size, then read across to your AQL column for the acceptance number (Ac) and rejection number (Re). If the cell shows an arrow, follow it to the first cell with numbers and use that cell's sample size.
What is the difference between AQL sampling and 100 percent inspection?
AQL sampling checks a random sample and judges the whole lot from it, which is faster and cheaper and is the normal method for pre-shipment inspection. A 100 percent inspection checks every unit. It is used for critical items, for very small orders, or to sort a lot after it has failed an AQL inspection.
What AQL should I use for clothing?
A common starting point for consumer apparel is zero critical defects, 2.5 for major defects and 4.0 for minor defects, at General Inspection Level II. Brands with a higher price point or strict return thresholds often tighten majors to 1.5 or 1.0. Agree the setting with the manufacturer before production.
How many pieces are inspected in an AQL inspection?
It depends on the lot size and inspection level. At General Inspection Level II, an order of 300 units gives a sample of 50, 1,000 units a sample of 80, 3,000 units a sample of 125, and 5,000 units a sample of 200.
Who carries out an AQL inspection?
The factory's own QC team, the buyer's staff, a third-party inspection company or a sourcing partner. What matters is that the inspector works to the AQL, defect list and reference sample agreed with the factory before production, and that you receive the report with photographs before the goods ship.
Written by Alex Morgan
Senior Sourcing Specialist Β· SourceBridge
Alex has 10+ years of experience connecting American brands with top manufacturers in Turkey, China, and the USA. He specializes in private label product sourcing, Amazon FBA strategy, and helping entrepreneurs launch profitable brands with the right factory partners.
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