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Case Study: Custom Anti-Static Fabric for a Fast Fashion Retail Chain in Switzerland

Source:Quilting Fabric Bundles / Time:2026-09-18

Anti-Static Fabric for a Fast Fashion Retail Chain in Switzerland

A Fast Fashion Retail Chain approached us with a anti-static fabric requirement for the Switzerland market. The brief was specific: a defined look, a hard launch date and a unit cost that had to survive freight and duty. This case study records what was specified, what went wrong in sampling and how the bulk order was delivered.

The challenge

  • Shrinkage that only showed up after the first wash
  • A zipper puller that broke under pull test at the warehouse
  • MOQ that was quoted per colourway rather than per style

Anti-Static Fabric case study

What we specified

ItemAnti-Static Fabric
Client typeA Fast Fashion Retail Chain
MarketSwitzerland
Order volume5,000 pieces across 3 specifications
Base materialCopper
Standard size210 gsm
FinishBlack Nickel Finish
Sampling rounds2
Delivery window5 weeks from PO to ex-factory
ComplianceOEKO-TEX Standard 100

How it was resolved

  1. We rebuilt the specification around Copper and locked the tolerance before bulk.
  2. The finish was moved to Matte Black Coating after strike-off tests showed better durability.
  3. A pre-production sample was approved and retained as the golden reference.
  4. Production ran with in-line inspection and a mid-run photo report.
  5. Cartons were packed to the client's own barcode and ratio specification.

Anti-Static Fabric production run

Result

  • 5,000 pieces delivered inside the 5-week window.
  • Unit cost held within 3.0% of the original quotation.
  • Inspection-related rejection stayed under 1.5%.
  • The specification is now on file, so reorders reproduce the approved sample.

What we would repeat

Lock the material standard before sampling. Once the base changes, every downstream approval has to be redone and the calendar slips.

Planning something similar?

Share the programme details and we will propose two alternatives — one optimised for unit cost, one for lead time — and let you choose.

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