Guide · Updated June 2026

How to choose a DPP provider

There are now hundreds of Digital Product Passport providers, more every month. We've put 150+ of the ones relevant to fashion and textiles into our registry, so you can find your best match instead of trawling the market yourself.

This is the evaluation framework we use as an independent consultancy: the 9 functional categories, the questions that matter more than demos, and the order to decide in. An independent guide, with no vendor affiliation.

~8-minute read · English · No email gate

"Which DPP provider is best?" is not the right first question

It's the question that often comes first, and it has no single answer, because "DPP provider" isn't one market. Under that label you'll find QR-code providers, supply-chain platforms, LCA engines, blockchain notarisation services and resale-tech companies: each solving a real problem, but none solving the same one.

A demo shows you the end result, the digital passport a shopper sees when they scan a product. That's a real and useful thing to see. But what makes a DPP project succeed happens earlier, before any passport is published: where your supplier data will come from, which standards the passport must follow, and what happens to your published passports if you ever change provider. Those simply aren't questions a demo is built to answer, they're yours to work through first.

That's why the decision gets easier when you split it in two: first, which functional categories your situation actually needs; then, which providers within those categories are the right ones to evaluate.

The 9 functional categories

We map the provider landscape (over 150 companies, 44 subcategories) into 9 functional categories, in three groups:

Identity & trust

Identification & Data Carrier Infrastructure

Unique identifiers and the physical carriers (QR codes, NFC, RFID) that link a garment to its digital record.

Digital Identity & Verifiable Credentials Infrastructure

The cryptographic layer: who issued this data, can it be trusted, and can it be verified without phoning the issuer.

Verification & Authentication Infrastructure

Product authentication and anti-counterfeit: proving the physical item is what its passport says it is.

Trust & Data Integrity Infrastructure

Tamper-evidence and auditability of the data itself: from notarisation services to distributed ledgers.

Data & compliance

PLM / ERP & Enterprise Backbone Systems

Where your product data already lives. Often the real constraint: the DPP is only as good as the master data feeding it.

Enterprise DPP & Supply Chain Platforms

End-to-end platforms that collect supplier data, map the chain, and assemble passports: the most crowded category, and the one where scope varies most between vendors.

Sustainability & Impact Data Providers

LCA engines, impact databases and scoring methodologies that produce the environmental indicators a DPP is expected to carry.

Publication & lifecycle

DPP Hosting & Publication Platforms

Serving the passport to whoever scans it: consumer-facing pages, access control by audience, uptime and data-retention obligations.

Post-Sale & Circularity Systems

What the passport enables after the till: resale, repair, rental, recycling. This is where the DPP stops being a compliance cost and starts being infrastructure.

Five evaluation criteria to consider beyond the demo

Standards and interoperability before features

The delegated act and the technical standards (CEN/CENELEC work, GS1 identifiers, the EU data-space architecture) will define what a compliant DPP is. A provider aligned with open standards can survive regulatory drift; a closed, proprietary data model transfers that risk to you. Ask every vendor which standards they implement today and which they are tracking.

Fashion and textile specificity

Multi-tier supply chains, seasonal assortments, thousands of SKUs, fibre-level composition data: textile DPPs have sector-specific demands. A platform built for batteries or electronics may technically "do" textiles without understanding bills of material that change every season.

Where the data comes from, not where it ends up

Most DPP demos show you the output: a polished consumer page. The hard part is upstream: collecting verified data from tier-2 and tier-3 suppliers who do not work for you. Ask how the platform handles supplier onboarding, data validation, and what happens when a supplier will not (or cannot) provide a data point.

Exit costs and lock-in

Under current proposals, the textile DPP must remain accessible for at least 10 years after the product is placed on the market, likely longer than your contract with any vendor. Ask what happens at termination: in what format does your data leave, who pays for the migration, and do published passports survive the switch? Without a clear answer here, the quoted price is one that excludes the exit.

Pricing model versus your assortment

Per-SKU, per-passport, per-scan and flat-platform pricing produce wildly different bills depending on your assortment size and turnover. Model the cost at your real SKU count, three years out, before comparing list prices.

The order to decide in

  1. Establish your priority categories. From your maturity, your systems, and your regulatory exposure, not from a vendor's pitch deck. (This is exactly what the free Provider Finder does in 5 minutes.)
  2. Fix the data before the platform. If your master data and supplier data flows are not ready, the best platform in the world will publish well-designed passports full of gaps.
  3. Shortlist within categories, not across the whole market. Comparing an LCA engine against a publication platform produces noise. Compare like with like, 3–5 candidates per priority category.
  4. Start with a focused pilot. One product line, one season, real supplier data — and clarify the exit terms from the start.

Frequently asked questions

How many DPP providers are there?

We actively track more than 150 providers relevant to fashion and textile DPPs, across 9 functional categories and 44 subcategories. The market is fragmented and moving fast: providers add modules, pivot between categories, and consolidate. That is precisely why "which provider is best?" is the wrong first question; the right one is "which categories do we actually need?".

Why does GO TRACE not just publish its provider list?

Because a list without context misleads. A provider that is excellent for a vertically integrated mid-size brand can be wrong for a multi-brand group with 40 suppliers. We publish the framework openly (this guide, and the free Provider Finder); the named, personalised shortlist (3 to 5 providers per priority category, matched to your situation) is the paid product (€990, VAT included). We take no referral fees from any provider, so the recommendation has nothing to sell you.

Should we wait for the delegated act before choosing anything?

Waiting to sign an enterprise-wide platform contract can be rational. Waiting to do anything is not: identifying your priority categories, fixing your master data, and starting supplier data collection are decisions that pay off under any version of the final rules, and they determine which providers are even relevant to you.

Do we need one provider or several?

Most brands end up with a stack, not a single vendor: their existing PLM/ERP, plus one or two DPP-specific layers. The 9 categories exist because the functions are genuinely different: identification, data collection, impact data, publication, circularity services. Treat any claim to cover all nine as a prompt to look closely at scope.