Knowing when to collect data, and how much, is just as strategically important as collecting it in the first place.
Table of Contents
The Assumption That Is Quietly Causing Problems
There is a quiet assumption about fashion brand transparency running through the Digital Product Passport conversation that I want to challenge directly.
The assumption is this: more data equals more circularity. Capture everything. Document every step. Build the most complete product history you can. And from that foundation, sustainable circular systems will emerge.
It sounds logical. In practice, it is producing some strange results.
A virgin-material smartphone assembled across 43 countries and 200 suppliers goes to market with almost no mandatory product-level disclosure. The same phone, once it enters a repair or refurbishment programme, suddenly faces documentation requirements that would challenge most established logistics operations.
A piece of apparel made entirely from new polyester can be placed on the market in Europe with relatively limited material transparency today. But a refurbisher, rental operator, or recommerce player handling that same garment downstream may be expected, under emerging DPP frameworks, to capture detailed chain-of-custody information for a circular process that might involve two or three parties at most.
Something about that imbalance does not sit right.
This article is not an argument against transparency. The fashion industry needs more of it, not less, and the regulatory direction under the EU’s Ecodesign for Sustainable Products Regulation (ESPR) is the right long-term signal. But transparency is not inherently valuable. It is only valuable when it enables a decision that would not otherwise be made. That distinction matters enormously for how fashion brands should build their data infrastructure, engage their suppliers, and think about DPP implementation.
By the end of this article, you should have a clearer picture of where full data transparency genuinely unlocks circular value, and where lighter-touch approaches are not only acceptable, but operationally smarter.
What Is a Digital Product Passport, and What Is It Actually Supposed to Do?
Before going further, a quick grounding on what we are actually talking about.
A Digital Product Passport (DPP) is a structured digital record that stores and communicates information about a product throughout its lifecycle. That includes what it is made of, how it was produced, where its materials came from, how it can be repaired or recycled, and what has happened to it over time.
The legal framework for DPPs in Europe sits inside the Ecodesign for Sustainable Products Regulation, known as ESPR, which was adopted in 2024 and replaces the older Ecodesign Directive. ESPR (Regulation (EU) 2024/1781) establishes the overarching framework. Delegated regulations, sector-specific rules, will define the exact DPP requirements for each product category, including textiles and apparel.
For fashion, the most relevant upcoming rules are linked to the EU Textile Strategy and the planned Textile Delegated Regulation under ESPR. The European Commission has signalled that textiles will be among the priority sectors for DPP rollout, with requirements phasing in over the coming years. The exact timelines, data fields, and technical specifications are still being developed, and if you hear anyone speaking with total certainty about what will be required in 2027, be appropriately sceptical.
What is already clear is the intent: DPPs are meant to make product information accessible to consumers, repair operators, recyclers, customs authorities, and regulators, depending on the context. Accessed typically via a QR code or similar physical-digital link, the passport should travel with the product and remain readable across its useful life.
What is less discussed is the strategic question of what level of data is actually useful at each stage of that life, and who is the relevant reader at each moment.
The Infrastructure Problem That Data Alone Cannot Solve
Here is something the DPP conversation often skates past: information does not repair garments, sort textiles at scale, or rebuild the reverse logistics networks that European circular fashion desperately needs.
The binding constraints in most circular fashion systems right now are not informational. They are physical and operational.
There are not enough trained repair technicians in most European markets. Spare parts for apparel, zippers, buttons, specialist fabrics, are often discontinued within one or two seasons, making repair economically unviable even when a brand or consumer wants it. Collection infrastructure for post-consumer textiles is fragmented. The secondary market for sorted, high-quality textile feedstock is thin. Rental logistics, collection, cleaning, refurbishment, redistribution, require physical infrastructure and regional density that most brands have not yet built.
None of this is solved by capturing more data fields in a product passport.
I am not making an argument against DPPs. I am making an argument for proportionality. The risk right now is that brands, especially smaller and mid-sized ones, pour significant operational energy into building comprehensive data capture systems, when the immediate limiting factor in their circular model is somewhere else entirely: a collection partner they do not have, a repair network they have not built, a resale channel they have not launched.
The question that should come before how do we build our DPP is: what decisions does this data need to enable, and for whom?
Five situations where fashion brand transparency genuinely changes the outcome
Based on how circular systems actually operate, not how they are theorised to operate, there are five distinct situations where data transparency shifts from a compliance burden into a genuine enabler. Understanding which of these applies to your product category and your circular model is how you start building a proportionate, useful DPP strategy rather than a document-heavy compliance exercise.
1. When Liability Transfers Between Parties
This is the clearest case for full, unambiguous documentation.
In regulated industries, aerospace, medical devices, industrial equipment, the liability question is existential. When a refurbished component fails, who is responsible? The original manufacturer? The remanufacturer? The logistics partner who stored it?
In fashion, this dynamic is less acute but not absent. Consider a luxury brand that partners with a third-party recommerce operator to handle authenticated resale of its goods. If a product in that pipeline is found to be counterfeit, or if it carries a chemical treatment that causes a consumer issue, the liability trail matters. The DPP becomes the chain of accountability, not just a product story, but an auditable record of who handled what, when, and under what conditions.
For brands operating in premium or regulated materials, think REACH-regulated chemical treatments, certified organic cotton, recycled content claims, full documentation is not optional. The passport creates the audit trail that enables third-party partnerships to function without exposing the brand to unmanageable risk.
Practical implication: If your circular model involves handing products to external partners, rental operators, recommerce platforms, authenticated resellers, invest in documentation at handoff points. This is where the DPP earns its keep.
2. When Products Move Through Multi-Party Repair or Refurbishment Networks
Imagine a take-back programme where garments are collected in-store, sorted by a logistics partner, assessed for condition by a grading facility, then routed either to repair, resale, or recycling, potentially across three or four different companies.
What does that network actually need to function?
Not an exhaustive material history of the garment. It needs routing intelligence: is this item worth repairing? Where is there repair capacity? Does the receiving facility have the right parts or skills for this product type? What is the expected resale value after refurbishment?
The relevant data in this situation is operational status, condition grade, and routing recommendation, not a detailed supplier chain going back four tiers. A system that forces detailed provenance documentation on every item processed by a high-volume sorting facility will slow that facility down, increase costs, and ultimately make the economics of circular processing worse, not better.
Practical implication: For brands building take-back and refurbishment programmes, focus first on condition grading data and routing logic. Full material provenance can be a second layer added over time.
3. When Repair Complexity Varies Significantly
There is a useful distinction between what an experienced repair technician needs and what someone diagnosing a product for the first time needs.
In established repair ecosystems, independent denim repair specialists, luxury leather goods workshops, certified repair networks for outerwear, much of the diagnostic knowledge already exists in the hands of the technician. They know the construction, the common failure modes, the right thread or treatment. A full digital product record adds little to their process.
But as repair scales, as brands route products through broader, less specialised networks to bring repair economics down, targeted information starts to matter. What are the most common failure points for this SKU? Has this specific item been repaired before, and what was done? Are there known issues with this season’s zipper hardware?
This kind of repair-relevant data is genuinely valuable. It reduces diagnostic time, reduces error rates, and makes it viable to train a broader base of technicians rather than relying on a small pool of specialists.
Practical implication: For brands launching or scaling repair services, start capturing repair history at the product level. It builds business value even before it becomes a regulatory requirement.
4. When End-of-Life Processing Depends on Material Composition
This is where the DPP has arguably the clearest and most non-negotiable value case, and where fashion has the most ground to cover.
Textile recycling, particularly chemical and fibre-to-fibre recycling, is extremely sensitive to material composition. A mechanical recycler processing what it believes is 100% cotton that turns out to contain 20% elastane will get contaminated output. A chemical recycler running a polyester feedstock that contains blended synthetic treatments will face process disruption. The quality and reliability of secondary material markets depends directly on the accuracy of composition data.
And right now, that data is often unreliable, incomplete, or simply absent. Care labels carry legally required composition information, but it is frequently inaccurate, sometimes deliberately rounded, and rarely machine-readable. Supplier declarations are inconsistent. Testing certifications do not always travel with the product.
For end-of-life processing, the DPP needs to carry two things above all else: accurate fibre composition and reliable chemical treatment information. Individual product history, who wore it, when, what channel it passed through, is largely irrelevant to a recycler. Material truth is what matters.
Practical implication: If you are building your DPP data architecture, material composition and chemical content should be treated as the non-negotiable core. Everything else can be layered in over time. This is also the data that is most costly to get wrong and most difficult to retrofit, so start collecting and verifying it now, even if the regulatory requirement is not yet formally active.
5. When Volume and Velocity Make Item-Level Tracking Counterproductive
Not all circular flows are the same. A rental programme for made-to-order luxury occasion wear operates very differently from a fast-fashion take-back scheme processing thousands of items per week per collection point.
For high-volume, low-unit-value flows, the economic maths of item-level digital tracking often does not work. If the cost of documenting, scanning, and maintaining a product-level data record exceeds the value of the decisions that data enables, then building that system is a resource misallocation.
In high-velocity contexts, aggregate data, return rates, failure categories, condition distribution by collection region, trend signals, is far more useful for operational improvement than granular item histories. It allows brands and logistics partners to make systemic improvements to product design, sourcing, and processing without the overhead of individual item tracking.
Practical implication: Match your data granularity to your circular model. A luxury rental programme justifies item-level tracking from day one. A high-volume take-back scheme may only need aggregate analytics to start, with item-level precision added selectively for specific categories or value thresholds.
The Framework Underneath These Five Situations
If you step back from the five cases above, there is a consistent logic to all of them.
Transparency creates value when it changes a decision that matters.
Full DPP documentation is essential when liability is at stake, when regulatory compliance requires an audit trail, or when the product moves between parties who have no existing shared knowledge base.
Lighter-touch data sharing works better when coordination, routing, and operational efficiency are the real bottlenecks, and when over-documenting would slow the system down without improving outcomes.
Composition data is always relevant at end-of-life, regardless of what else the DPP contains.
And in high-velocity, low-value flows, restricting information, or at least keeping it at the aggregate level, often creates more operational value than building individual item histories.
This framework is useful not as a reason to do less, but as a guide for doing the right things in the right order. For most European fashion brands today, the biggest DPP gap is not in tracking product journeys, it is in the foundational layer: verified material composition, accurate supplier records, and structured chemical content data. That is where to invest first. Our DPP data requirements breakdown maps exactly which fields to prioritise.
Why Circular Products Are Facing a Higher Burden Than Linear Ones, and What That Means
The asymmetry raised at the start of this article is worth taking seriously.
Under current and emerging European regulation, a garment made entirely from virgin materials, assembled through a complex global supply chain, and sold through conventional retail channels faces relatively limited immediate product-level disclosure requirements. The DPP mandate for textiles is coming, but it is not yet in force for most product categories.
Meanwhile, brands operating take-back programmes, rental services, or resale channels, those actively building circular models, may find themselves under greater practical pressure to document, track, and report product journeys. Partly because recommerce platforms have their own data requirements for authentication and condition grading. Partly because rental operators need inventory management systems that capture product-level data. Partly because circular business models attract greater scrutiny from regulators, auditors, and sustainability-minded investors who want proof of impact.
The irony is visible: those doing the work of circularity face the higher documentation burden.
I do not think the answer is to reduce requirements on circular operators. The answer is to raise expectations, proportionately and progressively, on the linear baseline. ESPR is designed to do exactly this. The DPP requirement, once it applies to textiles broadly, will create a level playing field where transparency is expected across all market participants, not just those who have voluntarily chosen circular models.
Until that baseline is established, brands building circular services should treat their data infrastructure as a competitive advantage, not just a compliance obligation. A brand that can prove the composition, provenance, and condition history of its products has something that brands operating in the conventional dark simply cannot offer, to their customers, to their circular partners, and to their investors.
What Fashion Brands Should Do Now
The regulatory picture for DPPs in fashion is still taking shape. The Textile Delegated Regulation under ESPR has not yet been finalised. Technical standards, including the data carrier specifications and interoperability requirements, are still under development by ECOPASSPORT, the European Commission’s expert groups, and standards bodies like CEN and ISO.
Waiting for perfect clarity before acting is a mistake. By the time the final rules are published, brands that started building now will have structured data, supplier relationships, and internal governance in place. Brands that waited will be scrambling.
Here is where to focus:
Start with material composition, and verify it
This is the data layer that matters most at end-of-life, that is most often inaccurate in current systems, and that will be hardest to retrofit once volumes scale. Do not rely on care label declarations. Get supplier-level fibre composition data, and where possible, third-party laboratory verification. Build this into your sourcing and product development process now.
Map your circular workflows and identify what decisions need data
Before building a DPP system, spend time mapping what decisions your circular operations actually require. What does a sorter need to route a returned garment? What does a repair technician need to diagnose a common failure? What does a resale platform need for authentication? The data architecture should be built around these decisions, not around a theoretical completeness ideal.
Prioritise interoperability from day one
One of the clearest regulatory signals from ESPR is that DPPs must be interoperable, readable and transferable across systems, not locked into any single platform. This has direct implications for how you choose your DPP technology partner. Avoid proprietary systems that cannot export structured data. Look for alignment with emerging standards, including the GS1 Digital Link standard for QR codes and the CIRPASS pilot outputs from the European Commission.
Engage your suppliers on data, not just on compliance
Supplier data collection is where most brands will hit the real wall in DPP implementation. Tier 1 suppliers are increasingly accustomed to sustainability data requests. Tier 2 and beyond are often not, our supply chain mapping guide covers how to approach this practically. Build supplier data relationships now, not as a one-time audit exercise, but as an ongoing structured data exchange. Suppliers who understand what you need and why are far more likely to give you accurate, timely information.
Separate what you collect internally from what you share externally
Not all DPP data needs to be public-facing. ESPR distinguishes between data sets accessible to consumers, those accessible to professional operators and recyclers, and those accessible to regulatory authorities. Build your internal data model to be comprehensive, and your external data sharing to be proportionate and purposeful. This also protects commercially sensitive supply chain information from unnecessary disclosure.
Build for iteration, not for perfection
The brands that will navigate DPP implementation best are not the ones who wait for the perfect data set before launching anything. They are the ones who start with the data they have, structured, honest about its gaps, and build improvement into the process. A DPP that is 60% complete and improving is more valuable than a compliance exercise on paper that never becomes operational. If you’re ready to start, our step-by-step DPP guide shows you how.
FAQ
What is a Digital Product Passport (DPP) in the context of fashion?
A Digital Product Passport is a digital record linked to a physical garment or textile product that stores information about its composition, production, supply chain, and end-of-life options. In fashion, it is typically accessed via a QR code or NFC tag attached to the product. Under the EU’s Ecodesign for Sustainable Products Regulation (ESPR), DPPs will become mandatory for textiles and other product categories on a phased timeline.
When will DPPs become mandatory for fashion brands in Europe?
The exact timeline depends on the Textile Delegated Regulation, which is still being finalised under ESPR. The European Commission has signalled textiles as a priority sector, with requirements expected to phase in progressively over the coming years. Brands should monitor updates from the European Commission and plan for implementation now rather than waiting for a final deadline.
Does a Digital Product Passport need to contain the full supply chain history of a product?
Not necessarily, and this is one of the most important nuances in the current regulatory discussion. The level of data required depends on the audience and the decision it needs to enable. Full supply chain provenance matters for liability-sensitive contexts and regulatory compliance. Material composition is essential for recyclers. Operational status matters for repair and refurbishment networks. Not all data layers are equally important in all contexts.
Do circular fashion products face higher DPP requirements than conventional ones?
In practice, brands operating circular models, rental, resale, take-back, repair, often face greater de facto data expectations from their operating partners and investors, even before formal regulation kicks in. The regulatory intent under ESPR is ultimately to apply baseline DPP requirements across all textiles. Until that level playing field exists, brands with circular models should treat their data infrastructure as a strategic differentiator.
What is the most important data to get right first in a fashion DPP?
Material composition, fibre content and chemical treatments, is the data that matters most at end-of-life processing and that is most difficult to retrofit once production has moved on. It is also the data most often inaccurate or incomplete in current systems. Brands should prioritise getting verified, supplier-level composition data into their product records before anything else.
What does interoperability mean for DPPs, and why does it matter for fashion brands?
Interoperability means that DPP data can be read, transferred, and used across different systems and platforms without being locked into a single vendor. ESPR requires DPPs to be interoperable. For fashion brands, this means choosing DPP technology partners carefully, favouring open standards and structured data export capabilities over proprietary closed systems. It also means your product data remains portable if you change platforms or partners.
How should smaller fashion brands approach DPP implementation given limited resources?
Start with the data you already have or can collect at low cost: verified fibre composition from suppliers, care and country-of-origin information, certifications and test results. Build the habit of structured data collection before worrying about the technical layer, a QR code on a product is only useful if the data behind it is accurate. Phase the investment: start lean, build progressively, and avoid over-engineering before the regulatory requirements are finalised.
Will the DPP requirement apply to resale and secondhand fashion, not just new products?
This is still evolving in the regulatory detail. The primary obligation under ESPR sits with the manufacturer or the entity placing the product on the market for the first time. However, recommerce operators and rental platforms have every practical reason to maintain and update product passport data across circular cycles, it protects them, their customers, and their recycling or repair partners. Expect future guidance to address update obligations for circular operators more explicitly.
Where This Leaves Us
The Digital Product Passport is not a documentation exercise dressed up as sustainability strategy. Used well, it is the data layer that makes circular systems readable, coordinated, and economically viable at scale.
But the industry is still in danger of building it wrong, not by collecting too little, but by misunderstanding what data is actually useful, to whom, and when.
The most important insight from the current regulatory and operational landscape is this: transparency is not inherently valuable. It is valuable when it enables a decision. The practical work for fashion brands is to map those decisions, build the data infrastructure that serves them, and do it in a structured, iterative way that starts now, with accurate composition data, clear supplier relationships, and interoperable systems, rather than waiting for a perfect regulatory specification that will not arrive before the deadline matters.
The brands that get this right will not just be compliant. They will have product data infrastructure that makes their circular models more efficient, more credible, and more defensible, to their customers, to their partners, and to the regulators that are coming.
Start now. Start lean. Build it properly. See what a finished DPP looks like, and when you’re ready, create your free account to start building your own.
Sources
- World Economic Forum, Digital product passports: When does transparency truly matter for circular products? (March 2026), https://www.weforum.org/stories/2026/03/digital-product-passports-when-does-transparency-truly-matter-for-circular-products/
- European Commission, Ecodesign for Sustainable Products Regulation (ESPR), Regulation (EU) 2024/1781, https://ec.europa.eu/growth/sectors/sustainable-products/ecodesign-sustainable-products-regulation_en
- European Commission, EU Strategy for Sustainable and Circular Textiles (2022), https://environment.ec.europa.eu/strategy/textiles-strategy_en
- CIRPASS, Common Framework for Digital Product Passports, European Commission pilot consortium, https://cirpass.eu
- GS1, GS1 Digital Link Standard, https://www.gs1.org/standards/gs1-digital-link
- World Economic Forum, Reshaping Global Value Chains, referenced data on smartphone supply chains, https://www3.weforum.org/docs/WEF_Reshaping_Global_Value_Report.pdf
- Circularise, Referenced in WEF source as co-author; circular supply chain transparency platform, https://www.circularise.com
This article has been reviewed for accuracy by the Wetrack team.
Some illustrations may be AI-generated in which case they are labeled. Report any issue.