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Case Study: Custom Second Hand Clothes Fashion for a Manufacturing Plant in Kenya

Source:Second Hand Clothes Fashion / Time:2026-09-18

Second Hand Clothes Fashion for a Manufacturing Plant in Kenya

A Manufacturing Plant approached us with a second hand clothes fashion requirement for Kenya. The brief was specific: a defined look, a hard launch date and a unit cost that had to survive shipping and duty. This case study records what was specified, what went wrong in sampling and how the bulk order was delivered.

The challenge

  • Color drift between lab dips and bulk fabric
  • No reliable way to track a order once it enters production
  • Packaging that arrives crushed and unsellable

Second Hand Clothes Fashion case study

What we specified

ProductSecond Hand Clothes Fashion
Client typeA Manufacturing Plant
MarketKenya
Order volume8,000 pieces across 4 colourways
Base fabricBamboo Viscose
DecorationRibbed Cuff and Hem
Size rangeS-4XL
Sampling rounds4
Delivery window6 weeks from PO to ex-factory

How it was resolved

  1. We rebuilt the tech pack around Bamboo Viscose and locked shrinkage allowance before grading.
  2. Decoration was moved to Ribbed Cuff and Hem after strike-off tests showed better wash 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 size ratio specification.

Second Hand Clothes Fashion production run

Result

  • 8,000 pieces delivered inside the 6-week window.
  • Unit cost held within 2.0% of the original quotation.
  • Return rate linked to fit or workmanship stayed under 1.0%.
  • The specification is now on file, so reorders reproduce the approved sample.

What we would repeat

Lock the colour standard before grading. Once a shade moves, every downstream approval has to be redone and the calendar slips.

Second Hand Clothes Fashion finished goods

Planning something similar?

Tell us the quantity, target price and delivery window, and we will build a customisation programme around those three numbers.

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