Supply Chain

Mapping Your Textile Supply Chain for EU DPP: A Tiruppur Case Study

December 2025 · 9 min read

Most Indian textile exporters can describe their supply chain in a sentence — "we knit, dye, and stitch in-house, cotton comes from a ginning unit we’ve used for years." A DPP needs that sentence broken into tiers, each with its own data, which is where most exporters discover gaps they didn’t know they had.

The tiers that actually matter

  • Tier 4 — raw material: cotton growing, ginning, or synthetic fiber origin
  • Tier 3 — spinning: where fiber becomes yarn
  • Tier 2 — fabric formation: weaving or knitting, and dyeing/wet processing
  • Tier 1 — cut, make, trim: where fabric becomes the finished garment
  • Export packing: final batch consolidation before shipment

Where a Tiruppur knitwear exporter actually got stuck

In a real mapping exercise with a mid-sized knitwear exporter, Tier 1 (their own cut-and-sew floor) and export packing were already well documented — those records existed because they were needed for their own QA process anyway. The gap was Tier 2: dyeing was subcontracted to a job-work unit they’d used for years on a purely transactional, invoice-only basis, with no formal record of which dye lots or chemical processes were used per batch.

How they closed the gap in about a week

  • Day 1–2: listed every subcontracted process (dyeing, in this case) and identified which units actually touched export-bound batches
  • Day 2–3: asked the dye house for batch-level process records they were already keeping informally, and formalized a simple shared log
  • Day 4–5: matched dye-house batch records to their own export batch numbers, closing the traceability gap
  • Day 5–7: built the first complete passport end-to-end for one pilot product line, using it as the template for the rest

The lesson that generalizes

The gap is almost never in the processes you run yourself — it’s in the subcontracted, job-work tier that’s been running on trust and a phone call for years. Formalizing that one relationship is usually the highest-leverage step in the entire mapping exercise.

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