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Case Study: Custom Polyester Spandex Fabric for a Hospital Procurement Team in Kenya

Source:Gold Earrings / Time:2026-09-18

Polyester Spandex Fabric for a Hospital Procurement Team in Kenya

A Hospital Procurement Team approached us with a polyester spandex fabric requirement for the Kenya 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

  • Cartons packed to the factory ratio instead of the buyer's size ratio
  • A zipper puller that broke under pull test at the warehouse
  • A compliance document that arrived after the goods were already shipped

Polyester Spandex Fabric case study

What we specified

ItemPolyester Spandex Fabric
Client typeA Hospital Procurement Team
MarketKenya
Order volume100,000 pieces across 6 specifications
Base materialPOM Plastic
Standard size280 gsm
FinishPearlescent Coating
Sampling rounds2
Delivery window4 weeks from PO to ex-factory
ComplianceGB 18401

How it was resolved

  1. We rebuilt the specification around POM Plastic and locked the tolerance before bulk.
  2. The finish was moved to Pearlescent 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.

Polyester Spandex Fabric production run

Result

  • 100,000 pieces delivered inside the 4-week window.
  • Unit cost held within 2.0% of the original quotation.
  • Inspection-related rejection stayed under 2.0%.
  • The specification is now on file, so reorders reproduce the approved sample.

What we would repeat

Keep one accountable owner on both sides. Most delays come from hand-offs, not from machines.

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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