As the framework for the EU’s Ecodesign for Sustainable Products Regulation (ESPR) takes shape, the practical details are coming into sharp focus. At the centre of this shift is the Digital Product Passport (DPP), driven by technical parameters mapped out by the European Commission’s Joint Research Centre (JRC). The JRC has outlined 49 proposed data points that will define the digital footprint of textiles across Europe.
For managers procuring corporate workwear, protective gear and uniforms, this isn’t just about adding a scannable QR code to a label. It’s an invitation to modernise how data flows across every tier of the supply chain. By organising these 49 data points into four distinct core categories, we can clearly see what’s required and how to turn compliance into a genuine competitive advantage.
The four pillars of DPP data
Full visibility
The 49 data points defined by the JRC fall into four main categories, each serving a distinct role in creating total supply chain transparency:
- Product identification: The foundational layer that uniquely tags each garment. This includes GTINs (Global Trade Item Numbers), batch numbers, manufacturing locations and facility IDs. It ensures every piece of apparel can be pinpointed instantly.
- Producer identification: Details covering the economic operator responsible for placing the product on the market. This section captures corporate registration numbers, contact details and organisational declarations to guarantee accountability.
- Product information: The most operational category, diving deep into material composition, fibre origins, chemical safety, recycled content and repairability scores. It provides full visibility into how garments are made, how long they’re built to last and how easily they can be recycled.
- Compliance documentation: The evidence layer backing up every claim. This covers EU declarations of conformity, lab test results, safety certifications and verification documents required under European standards.
Conducting your data gap assessment
Circular economy
Understanding these four categories is the first step; aligning your current data architecture is where the real work happens. Most organisations already hold a significant amount of this information, but it’s often fragmented across separate systems, suppliers and legacy databases.
A structured gap assessment starts by mapping your existing data against the JRC’s 49 requirements. Identify where information is already centralised, where it relies on manual entry and where supplier visibility drops off. In most cases, the biggest gaps occur in tier-three and tier-four supply chain metrics, such as raw material origin and chemical compliance reports.
Building a connected, automated data system today ensures you won’t be left scrambling when mandatory enforcement arrives. By auditing your architecture early, we’re helping ensure that every line moving through your organisation is seamlessly compliant, highly durable and fully prepared for the circular economy.
