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Case Study: Custom Joma Training Wear for an Influencer-Led Brand in the United Arab Emirates

Source:Joma Training Wear / Time:2026-09-18

Joma Training Wear for an Influencer-Led Brand in the United Arab Emirates

An Influencer-Led Brand approached us with a joma training wear requirement for the United Arab Emirates. 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

  • Unclear responsibility when a defect shows up after washing
  • Inconsistent sizing between production runs
  • No reliable way to track a order once it enters production

Joma Training Wear case study

What we specified

ProductJoma Training Wear
Client typeAn Influencer-Led Brand
Marketthe United Arab Emirates
Order volume800 pieces across 3 colourways
Base fabricUPF 50+ Sun Fabric
DecorationFlat Embroidery
Size range2-12Y
Sampling rounds3
Delivery window6 weeks from PO to ex-factory

How it was resolved

  1. We rebuilt the tech pack around UPF 50+ Sun Fabric and locked shrinkage allowance before grading.
  2. Decoration was moved to Flat Embroidery 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.

Joma Training Wear production run

Result

  • 800 pieces delivered inside the 6-week window.
  • Unit cost held within 1.5% of the original quotation.
  • Return rate linked to fit or workmanship stayed under 0.5%.
  • The specification is now on file, so reorders reproduce the approved sample.

What we would repeat

Fix the size ratio early. Changing the ratio after cutting starts is the single most expensive change a client can request.

Joma Training Wear 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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