A practical way to turn scattered product records into usable Digital Product Passport data
Most garment factories already hold a large amount of information about their products.
The challenge is rarely complete absence of data.
The challenge is finding it.
A fabric composition may sit in a technical pack.
The supplier information sits in ERP.
A certificate may be stored by compliance.
A laboratory report may be saved on another shared drive.
Environmental information may sit with sustainability.
The production order sits somewhere else again.
A Digital Product Passport requires these pieces to become part of one coherent product record.
That is why the first serious DPP activity should usually be a data-mapping exercise.
Start with one real product
Do not begin with a theoretical spreadsheet containing hundreds of possible DPP fields.
Choose one actual export product.
For example:
a cotton polo shirt
a denim jean
a sports jersey
a towel
a bedsheet
Then follow that product through the organization.
Ask the merchandising team what they know about it.
Ask sourcing.
Ask compliance.
Ask sustainability.
Ask production.
Ask IT.
The goal is to discover where the product story currently lives.
This exercise often reveals that the factory has more information than expected—but less structure than assumed.
Product identity comes first
Before collecting sustainability information, the factory must know exactly what product the data belongs to.
A single garment may have:
- buyer article number
• factory style number
• SKU
• color code
• size
• production order
• batch
• GTIN
These references should connect to each other.
If merchandising calls a product one thing, ERP another and the buyer a third, every future integration becomes harder.
A good DPP project therefore begins with product master-data discipline.
Material information needs more depth
Factories often record the composition of the main fabric accurately.
But a garment contains more than its main fabric.
Depending on the product, relevant information may also exist for:
- lining
• interlining
• thread
• buttons
• zippers
• elastic
• labels
• prints
• coatings
• trims
• packaging
This does not mean every minor component will necessarily become a mandatory DPP field.
The point is that exporters should understand their product at component level.
If the buyer later asks a question about recycled content, recyclability or chemical treatment, the component structure becomes important.
Supplier and facility data should be treated carefully
A frequent traceability mistake is assuming that the supplier and manufacturing facility are always the same.
They may not be.
A trader can sell fabric that was manufactured elsewhere.
A supplier headquarters may be in one city while the actual processing site is somewhere else.
A dyeing operation may be subcontracted.
If product traceability becomes more detailed, these distinctions matter.
Factories should therefore maintain clean records for both organizations and facilities.
Supplier names should also be standardized.
“ABC Textile”
“ABC Textiles Ltd.”
“ABC Textile Pvt Ltd”
should not accidentally become three different suppliers in the system.
Evidence needs structure too
Certificates are often managed as documents.
DPP readiness requires factories to think about the information around the document.
For each important certificate or test report, the company should know:
- Who issued it?
- When?
- When does it expire?
- Which facility does it cover?
- Which material does it cover?
- Does it apply to this product?
- Who approved its use?
A certificate is not strong evidence merely because a PDF exists.
Its scope must match the claim being made.
Add data ownership
The simplest way for product data to deteriorate is when nobody owns it.
Every important information category should have a responsible function.
For example:
Product identity — merchandising or master-data team
Supplier information — sourcing
Material composition — merchandising or technical
Certificates — compliance
Environmental data — sustainability
Production batch — production or ERP
The exact ownership can differ by factory.
What matters is that ownership is explicit.
Build a simple readiness matrix
For each field, classify the status:
Available and verified
Available but not verified
Available from supplier
Missing
Expired
Not applicable
This is more useful than pretending the factory has complete data.
A DPP needs trustworthy information.
Knowing what is missing is part of readiness.
Key Ideas
- Most garment factories already have significant DPP-related information.
• The problem is fragmentation.
• Start with one real product rather than an enormous theoretical checklist.
• Product identity should be consistent across departments and systems.
• Material data should consider important components, not only the main fabric.
• Supplier and facility information should be separated where necessary.
• Certificates need clear scope and validity.
• Every important data field should have an owner.
Conclusion
DPP data preparation does not need to begin as a massive digital-transformation project.
Take one product.
Find its information.
Identify its owners.
Check its evidence.
Record what is missing.
That simple exercise gives management a realistic picture of readiness.
At QUIVK, we believe the fastest route toward a useful Digital Product Passport is not collecting more data blindly.
It is organizing the information the factory already has and understanding the gaps clearly.
