These are expected requirements based on the ESPR framework and EU preparatory work. The final data fields will be confirmed in the textile delegated act, expected in 2027.
Product identification
Basic information that uniquely identifies the product and makes it traceable across systems.Required fields
- Product name: Commercial name of the product
- Product type: Category (e.g., t-shirt, dress, jacket)
- Color: Official color name or code
- Size: Size designation (XS, S, M, L, etc.)
- Unique identifier: GTIN, EAN, or similar standardized code
The unique identifier should follow GS1 standards and be linked to the DPP’s QR code.
Where this data comes from
Most brands already have this data in their:- Product information management (PIM) systems
- E-commerce platforms (Shopify, WooCommerce, etc.)
- Enterprise resource planning (ERP) systems
- Product lifecycle management (PLM) tools
Manufacturer and importer details
Information about who is responsible for placing the product on the EU market.Required fields
- Manufacturer name: Legal entity name
- Manufacturer address: Registered business address
- Importer details: If different from manufacturer
- Contact information: Email or customer service contact
Where this data comes from
- Company registration documents
- Supplier agreements
- Import/export documentation
Material composition
Detailed breakdown of what the product is made from, including percentages for each material.Required fields
- Material type: Fiber or fabric name (e.g., cotton, polyester, wool)
- Percentage: Weight percentage of each material
- Material standards: Classification according to textile standards
Example
Where this data comes from
- PLM systems
- Tech packs and specifications
- Supplier material declarations
- Lab test reports
Avelero helps you structure material composition data in the format required for DPP compliance.
Material origins
Geographic information about where materials are sourced from.Required fields
- Country of origin: Where raw materials were produced
- Region: More specific geographic data where available
- Supplier location: Facilities involved in material production
Where this data comes from
- Supplier questionnaires
- Material certificates (GOTS, RWS, etc.)
- Supply chain mapping tools
- Customs documentation
Supply chain traceability
Information about the production journey from raw material to finished product.Required fields
Tier 1: Assembly and finishing
Tier 1: Assembly and finishing
- Facility name and location
- Manufacturing processes (cutting, sewing, assembly)
- Completion dates
Tier 2: Fabric production
Tier 2: Fabric production
- Fabric mill name and location
- Dyeing facility (if separate)
- Finishing treatments
Tier 3: Yarn and fiber processing
Tier 3: Yarn and fiber processing
- Spinning facility location
- Fiber processing details
Tier 4: Raw material extraction
Tier 4: Raw material extraction
- Farm, plantation, or extraction site
- Geographic coordinates where available
Supply chain traceability is one of the more demanding requirements because it depends on data from suppliers who may not be accustomed to sharing this level of detail.
Where this data comes from
- Supplier relationship management systems
- Factory audit reports
- Certification chain-of-custody documents
- Direct supplier engagement and questionnaires
Substances of concern
Disclosure of chemicals, dyes, and finishing treatments used in production.Required fields
- Chemical substances: Names and CAS numbers
- Dyes and pigments: Types and classifications
- Finishing treatments: Water repellents, coatings, etc.
- REACH compliance: Alignment with EU chemicals regulation
Where this data comes from
- Material Safety Data Sheets (MSDS)
- Supplier chemical declarations
- Lab test reports
- REACH compliance documentation
Durability metrics
Measurable indicators of how long the product is expected to last.Required fields
- Expected product lifespan: Estimated use duration
- Fabric strength: Tear and tensile strength measurements
- Color fastness: Resistance to fading
- Component durability: Quality of zippers, buttons, stitching
Where this data comes from
- Product testing reports
- Quality control data
- Material specifications from suppliers
- Historical performance data
Repairability information
Guidance on how the product can be repaired and whether spare parts are available.Required fields
- Repair instructions: How to fix common issues
- Disassembly guidance: How to take the product apart
- Spare parts availability: Whether replacement components can be purchased
- Repair services: Information about brand or third-party repair options
Repairability data helps extend product life and supports circular economy goals.
Where this data comes from
- Product design documentation
- After-sales service programs
- Repair partner agreements
- Internal repair guides
Care instructions
How to wash, dry, and store the product to maximize its lifespan.Required fields
- Washing instructions: Temperature, method, detergent type
- Drying guidance: Tumble dry, air dry, temperature
- Ironing: Whether safe and at what temperature
- Storage recommendations: How to store when not in use
Where this data comes from
- Care labels (already required in EU)
- Material supplier recommendations
- Product testing data
Lifecycle environmental impacts
Calculated environmental footprint of the product across its full lifecycle.Required fields
- Carbon footprint: CO₂ equivalent emissions (kg CO₂e)
- Water consumption: Liters of water used in production
- Water scarcity impact: Water stress in sourcing regions
- Energy consumption: MJ or kWh across lifecycle
Environmental impacts are expected to be calculated using the Product Environmental Footprint (PEF) methodology.
Where this data comes from
This is one of the hardest data requirements to fulfill. Options include:- Third-party LCA tools: Dedicated carbon accounting platforms
- Supplier environmental data: Direct emissions and resource use data
- Industry databases: Higg MSI, Ecoinvent, etc.
- Built-in prediction engines: Avelero includes ML-based LCA calculation
How Avelero helps: Our platform includes a built-in product footprint engine that automatically calculates carbon footprint and water scarcity impacts from your product data. You don’t need a separate LCA subscription.
Recycled and bio-based content
Percentage of materials that come from recycled or renewable sources.Required fields
- Recycled content percentage: Weight percentage of recycled materials
- Recycled content type: Pre-consumer vs. post-consumer
- Textile-to-textile recycling: Specifically closed-loop textile recycling
- Bio-based content: Percentage from renewable biological sources
Where this data comes from
- Material certifications (GRS, RCS, RWS)
- Supplier declarations
- Chain-of-custody documentation
- Third-party verification reports
Recyclability
Information about how the product can be recycled at end of life.Required fields
- Recyclability per material: Which components can be recycled
- Disassembly requirements: Whether materials need to be separated
- Sorting instructions: Guidance for recycling facilities
- Take-back programs: Brand or third-party collection schemes
Where this data comes from
- Product design documentation
- Material recyclability databases
- Recycling partner specifications
- Industry recycling guidelines
Certifications and compliance
Third-party certifications and regulatory compliance documentation.Required fields
- Material certifications: GOTS, OEKO-TEX, RWS, GRS, etc.
- Social certifications: Fair Trade, SA8000, etc.
- Declarations of conformity: EU regulatory compliance
- Test reports: Safety, performance, restricted substances
Where this data comes from
- Certificate databases
- Supplier-provided certificates
- Third-party auditor reports
- Internal compliance records
Data organization challenges
Most brands already have pieces of this data, but it rarely lives in one place:Data is fragmented
Material compositions are in your PLM. Supplier information is in your ERP or spreadsheets. Certifications are PDFs in email.
Data lacks structure
Information exists but not in a format that a Digital Product Passport can consume.
How Avelero structures your data
Avelero helps you organize all required DPP data in one place:- Integrations: Pull product data from Shopify, PLM, and other systems automatically
- Data mapping: Structure existing information into DPP-compliant formats
- Gap identification: Highlight missing data fields that need to be collected
- Automated calculations: Generate environmental impact data without separate LCA tools
- Continuous updates: Keep passports current as product data changes