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Case Study: Custom Stretch Denim Fabric for a Supermarket Own-Brand Team in Portugal

Source:Pastel Flag Banner / Time:2026-09-18

Stretch Denim Fabric for a Supermarket Own-Brand Team in Portugal

A Supermarket Own-Brand Team approached us with a stretch denim fabric requirement for the Portugal 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

  • A trim that passed sampling but failed in-line because it was never cycle tested
  • An interlining that bubbled after the first press
  • Shade drift between the approved lab dip and the bulk lot

Stretch Denim Fabric case study

What we specified

ItemStretch Denim Fabric
Client typeA Supermarket Own-Brand Team
MarketPortugal
Order volume2,000 pieces across 4 specifications
Base materialBrass
Standard size360 gsm
FinishBlack Nickel Finish
Sampling rounds2
Delivery window5 weeks from PO to ex-factory
ComplianceISO 14001

How it was resolved

  1. We rebuilt the specification around Brass and locked the tolerance before bulk.
  2. The finish was moved to Silicone Wash Finish 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.

Stretch Denim Fabric production run

Result

  • 2,000 pieces delivered inside the 5-week window.
  • Unit cost held within 4.5% of the original quotation.
  • Inspection-related rejection stayed under 1.0%.
  • The specification is now on file, so reorders reproduce the approved sample.

What we would repeat

Fix the specification count early. Adding variants after production starts is the most expensive change a client can request.

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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