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Checklist: prepare product data for DPP

The goal is not to finish everything at once. The goal is to know which product line you start with, and which data gaps block a credible product passport.

Updated 21 August 2026
The goal is not to finish everything at once. The goal is to know which product line you start with, and which data gaps block a credible product passport.

1. Scope and requirements

  • List product groups / categories you sell in the EU
  • Mark which have early DPP pressure (see the timeline)
  • Pick 1–2 product lines to start with (representative enough, but manageable)
  • Document which identifiers you use today (SKU, GTIN, internal article code)

2. Map where the data sits

  • ERP / business systems: article master, suppliers, purchasing data
  • PLM / engineering: BOM, materials, revisions
  • Quality / compliance: certificates, test reports, DoP, declarations
  • Sustainability: EPD, climate data, chemical lists
  • “Shadow systems”: spreadsheets, shared folders, email attachments, supplier portals

For each field, note: source · owner · update frequency · reliability.

3. Supplier and chain data

  • Which data must come from tier-1 (and further)?
  • Do you have templates / questionnaires for supplier replies?
  • Is there a contract or process to request updates when materials change?
  • Who quality-assures incoming evidence before it is used in the passport?

4. Documentation and evidence

  • Collect critical documents per first product (certificates, declarations, technical files)
  • Check validity and version control
  • Link documents to the right product/batch level – avoid “one PDF for the whole range” with no clear link

5. Organisation and maintenance

  • Appoint an owner for the DPP programme (often sustainability, quality or product ops)
  • Define RACI between purchasing, engineering, production, quality and sustainability
  • Decide how changes (new supplier, new material, new variant) trigger a passport update
  • Set a rhythm: monthly gap status until the first line is stable

6. From data to passport

  1. Normalise fields and units
  2. Fill gaps in priority order (requirement-critical first)
  3. Create and review a first passport for the first product
  4. Connect publishing / QR or another carrier where required
  5. Establish ongoing maintenance – not a one-off export

Common pitfalls

  • Starting with the label/QR before the data model is ready
  • Assuming “we have an EPD” covers the whole DPP requirement set
  • Having no owner when supplier replies do not arrive
  • Building a one-off export that cannot be updated

Related: A DPP is not a QR code · What is a DPP?

Want to map the checklist against your data? Book a demo