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Illustrative scenario · Garment export

Trace every carton
back to the yarn lot.

EU brands started sending Digital Product Passport questionnaires two years before the textile rules apply. We built the supplier evidence hub and batch genealogy that turns an 11-day scramble into a two-day answer.

Sector
Garment export
Capability
Data IQ
Timeline
12 weeks, piloted on two product lines
Status
Illustrative

This is a composite scenario built from how we deliver this kind of work. The client is fictional and the figures are targets, not measured results. We will replace it with a named engagement when a client agrees to be quoted.

The client

A knitwear group near Dhaka with four factories and about 6,000 workers, supplying three EU fashion brands, with yarn from 14 upstream suppliers

The problem
  1. Three EU brands sent DPP readiness questionnaires in 2026, each with different templates. The group's data stopped at the factory gate: fibre composition came from supplier declarations, recycled-content certificates sat in email, and facility identifiers were typed differently in every file.
  2. Batch-level questions had no answer. Nobody could link a carton of finished goods to the yarn lots inside it. The sustainability team was answering each questionnaire by hand in about eleven days, and expiring certificates were found only when a brand asked.
Approach

How we approached it.

  1. Build to the JRC proposal

    The EU textile act is expected in late 2027. We built to the three levels the JRC study proposes now: model, batch and item, so the data is ready whichever way the act lands.

  2. Supplier evidence hub

    All 14 yarn and fabric suppliers upload declarations and certificates against a shared facility identifier list, with expiry dates captured on upload.

  3. Batch genealogy

    Yarn lot to knitting batch to dye lot to cutting order to carton, recorded from the existing ERP events and the floor's lot cards.

  4. Certificate registry

    Every certificate has an owner, a scope and an expiry. Thirty days before expiry the supplier and the merchandiser get a task.

  5. Questionnaire export

    One data model, exported into each brand's template, with the evidence attached.

See it take shape

Try it yourself.

A simplified illustration with made-up data. It plays once when it scrolls into view, and you can pause it or step through.

Genealogy treeIllustrative
Garment
Knit top, lot 24Anot traced
Fabric mill
Knit mill Anot traced
Dye house Bnot traced
Yarn spinner
Spinner Cnot traced
Spinner Dnot traced
Spinner Enot traced
Fibre source
Gin Fnot traced
Gin Gnot traced
Farm group Hnot traced
Readiness0%0 of 9 links verified. Amber links wait on a supplier document.

Step 1 / 10 A finished garment lot with nothing traced yet.

Watch each tier fill in as suppliers confirm their data, and the readiness score climb.
Scope

What we built.

  • Facility and supplier master data with one identifier per site
  • Evidence hub with upload, scope, expiry and reminder tasks
  • Batch genealogy from ERP events and lot cards, with a coverage dashboard
  • Certificate registry and expiry alerts
  • Template export for three brand questionnaires
  • Data quality dashboard: missing fields by supplier and style
Outcomes

Outcomes (targets).

These are the results we would aim for. They are not measured results from a named client.

  • Target
    14 / 14
    suppliers onboarded
    with a shared facility identifier
  • Target
    92%
    pilot cartons with full genealogy
    two product lines, one season
  • Target
    3
    certificate expiries caught before shipment
    in the first season
  • Target
    11 days to 2
    questionnaire response time
    per brand request
Delivery

Timeline and stack.

Timeline

12 weeks, piloted on two product lines

Stack
PythonPostgreSQLERP event feedDynodocMetabase
Lessons

What we learned.

  • Do not wait for the delegated act. The data gap is at batch level, and closing it takes a season.
  • Certificate expiry is a silent failure. A registry with reminders is the cheapest fix.
  • One supplier identifier list prevents half the questionnaire errors.
Related offering

How we would deliver it.

Start a project

Want this
for your business?

Message an engineer on WhatsApp or send a brief. We agree scope and price before work begins and build in small working steps you can test.