For apparel brands, buying offices & garment factories

Quality management software for the fashion industry, end to end.

One workspace for garment manufacturing QC: inspection checklists, offline mobile inspections with barcode verification, AI defect analysis, AQL lot audits, supplier quality tracking and a live quality dashboard.

No credit card. No setup fees. No tiers.

Quality management software for the fashion industry runs the whole garment QC cycle in one system: inspection checklists per buyer and style, offline mobile inspections on the factory floor, photo-based defect analysis, AQL lot audits to ISO 2859-1, corrective action plans, supplier quality tracking across factories and a quality dashboard the sourcing team reads daily. QualityIris does all of that for apparel specifically, priced per active inspector, with buyer and factory accounts included free.

One record per garment PO

Inline checks, final audit, measurements, photos, corrective actions and the signed PDF all live on the same apparel order — not in five tools.

Works with no signal

Offline-first capture on the factory floor, syncing automatically when the inspector reconnects. No app store install.

AI where it saves time

Iris AI classifies defects from photos, drafts inspector comments, drafts corrective action plans and summarises the quality dashboard.

What the platform covers

Most apparel quality teams run four or five disconnected tools: a checklist template in Excel, photos in a chat thread, an AQL table printed on paper, a defect log someone maintains by hand, and a monthly slide deck that summarises all of it a month too late. QualityIris replaces that stack with one record per purchase order that every check writes into.

  • Garment manufacturing QC Inline inspections during cutting, sewing and finishing, and final audits after packing. Both write to the same garment PO, so the inline findings and the final verdict sit on one timeline instead of in two systems.
  • Defect analysis Iris AI classifies defect type and severity from the inspector's photograph against your own defect library, and the inspector confirms or corrects it. Corrections feed back into the model's prompt, so classification tightens with use. Pareto and defect-rate analytics roll the same data up by factory, buyer and style.
  • Factory-level lot audits ISO 2859-1 AQL sampling for a continuing series of lots, including the clause 9.3 Normal / Tightened / Reduced switching rules as an advisory recommendation per factory and buyer, plus ISO 2859-2 LQ sampling for isolated lots.
  • Supplier quality management Every factory carries its own defect rate, first-pass yield, pass/fail history and current inspection severity, so a supplier review is a filter rather than a data-gathering exercise. Factory standing is visible to the inspector before the visit starts.
  • Offline mobile inspections The factory floor is where signal is worst. Checklists, defects, measurements and photographs all capture with no connection and sync automatically on reconnect — no app store install, it runs in the phone browser.
  • Barcode verification Scan carton and polybag barcodes with the phone camera or a Bluetooth HID scanner, record readability pass/fail per sample and keep the scan photo as evidence. Certified ISO 15416 A–F grading needs a calibrated verifier — QualityIris records readability evidence, not a certified grade.
  • Inspection checklists Reusable checklist templates per buyer, per garment style or per inspection type, with custom items added on the floor. Both inline and final-audit checklists are customizable rather than fixed.
  • Compliance management Product-quality compliance: sampling to the published ISO standards, measurement tolerances against the tech pack, labelling and packing checks, signed and timestamped reports, and corrective action plans tracked to closure. Social and factory-ethics auditing is not part of the platform.
  • Production monitoring Quantities cut, sewn, finished and packed captured at each visit and tracked against the buyer delivery date, with Iris Insights flagging the stages that put the date at risk.
  • Quality dashboard Defect rate, first-pass yield, pass/fail trend, inspector hours and open corrective actions, filtered by factory, buyer, style and date. Buyers and factories get their own scoped dashboard, isolated from your internal metrics.

Why fashion-specific matters

General-purpose quality management systems were built for repeat-manufactured parts, where the same item runs for years and the quality record follows the part number. Apparel does not work like that: the style changes every season, the measurement spec is a grid of points across a size run, defects are described in garment language (skipped stitch, shading, puckering, care-label error), and the lot is inspected once and shipped.

That is why a generic QMS ends up half-configured in this industry. QualityIris ships with the apparel structures already in place — order book with colour and size breakdowns, measurement specs with per-size tolerances imported straight from the tech pack PDF, garment defect libraries, AQL lot logic and buyer-ready report formats — so a QA team is running real inspections in days rather than configuring a platform for a quarter.

What it is not

Being explicit about scope is faster than a sales call. QualityIris is inspection and quality software for apparel production. It is not a PLM, not an ERP, and not a social-compliance or factory-ethics audit platform. It does not run chemical or physical lab testing, and it does not book third-party inspectors on your behalf — it is the system your own QA team, or your agency's inspectors, work in.

It connects outward instead: purchase orders arrive by webhook or by Smart Import from a PDF, image or spreadsheet, and inspection data exports as PDF and CSV for whatever system your merchandising team already runs.

What it costs

Pricing for fashion industry quality management software
QualityIris
Price$69 per active inspector per month, or $690 per year
Buyer accountsIncluded, unlimited, read-only on their linked garment POs
Factory accountsIncluded, unlimited, read-only on their linked garment POs
Setup feeNone
Tiers or feature gatesNone — every account gets every module
Trial14 days, no credit card
ImplementationSelf-serve; import your order book and run the first inspection the same day

No setup fees. No tiers. No credit card.

$69 per active inspector per month, or $690 per year. Buyer and factory accounts included. Cancel any time — export your data as PDF or CSV whenever you like.

  • Unlimited buyers & factories
  • Offline-first inline capture
  • Iris AI-drafted CAPs
  • Barcode readability verification

Frequently asked

Is QualityIris quality management software for the fashion industry specifically?

Yes. It is built only for apparel and garment production — the order book, measurement specs, defect libraries and report formats all assume clothing and textile manufacturing rather than generic parts.

Does it handle factory audits?

It handles product audits at the factory: AQL final audits on the finished lot under ISO 2859-1, LQ sampling under ISO 2859-2 for isolated lots, plus packing, carton and barcode verification. Social-compliance and factory-ethics auditing is not covered.

Does it work offline on mobile?

Yes. Checklists, defects, measurements and photographs capture with no connection and sync on reconnect. It runs in the phone browser, so there is nothing for the factory to install.

Can it verify barcodes?

Yes — with the phone camera or a Bluetooth HID scanner, recording readability pass/fail per carton sample with the scan photo as evidence. Certified A–F grading requires a calibrated verifier and is not claimed.

Does it include supplier quality management?

Yes, at the quality level: defect rate, first-pass yield, pass/fail history and current inspection severity per garment factory, comparable across your supplier base.

What does it cost?

$69 per active inspector per month, or $690 per year. Buyer and factory accounts are free. 14-day trial, no credit card, no setup fee.

Explore more