Digital Product Passport (DPP) / product transparency tool
Product data management (PLM / PIM)
Portia
Portia is a cloud-based traceability and sustainability platform that centralizes product, material, supplier, and sustainability data for fashion and apparel brands to create Digital Product Passports. It targets brands and retailers, with SME adaptations, supporting EU compliance, supply chain mapping beyond Tier 1, and consumer-facing transparency via QR codes. Key strengths include comprehensive data input methods (manual, bulk uploads, APIs), chemical and sustainability impact traceability, and a fully functioning live DPP system.
AI-generated from all supplier submitted data.
Quick facts
Website
Started (year)
Country of origin
SME adaption
API integration approach
Free test version
LCA frameworks supported
Value chain actors involved in data exchange
Primary data contributors
Consumer-facing access to product data
Digital Product Passport (DPP) development activity
Details
Description by tool provider
Portia is a cloud-based traceability and sustainability platform for fashion and apparel brands. It centralizes product, material, supplier, and sustainability data to create Digital Product Passports, support EU compliance, and enable transparent, consumer-facing product information.
Product segments covered by the tool
- Apparel
- Footwear
- Home textiles
- Textile & leather accessories and goods -
- Furniture
- Sports & outdoor equipment
- Other non-textile products
Platform technologies
- Software-as-a-Service (SaaS)
- Cloud-hosted platform
- Relational database
- Role-based access control (RBAC)
- AI/Machine learning models
- QR code tagging
Data input/output methods
- Manual data entry
- Bulk upload/export (Excel / CSV)
- Inbound APIs
- Outbound APIs
- Reporting export
Chemical substance traceability
Chain-of-custody is a continuity capability; composition and substance traceability are depth capabilities. Neither replaces the other.
- Supplier visibility/supply chain mapping - The system stores structured information about suppliers beyond Tier 1 (e.g. role, tier, location).
- Product–supplier association - Specific products (styles, SKUs, batches) are linked to the suppliers involved in their production.
- Material flow / chain-of-custody tracking - Material inputs, outputs, and transformations between supply-chain actors are recorded using a defined chain-of-custody model.
- Product composition / component traceability - Products are represented as structured compositions (e.g. components, ingredients) that can be independently traced to upstream sources.
- Process & substance (chemical) traceability - Substances used in manufacturing processes can be recorded and linked to facilities, process steps, and affected products.
Sustainability Impact categories
Impact data coverage describes which sustainability-related topics a platform can store and manage data for. It does not indicate the quality of the data, the methodology used, or whether impacts meet specific regulatory thresholds.
- Material attributes - (e.g. fiber type, recycled / biobased content, origin attributes)
- Life Cycle Assessment (LCA) data - (e.g. environmental footprint indicators at product or material level)
- Chemical impact & compliance data - (e.g. restricted substances, chemical inventories, compliance status)
- Human rights & working conditions - (e.g. labor practices, social compliance data)
- Carbon & energy data - (e.g. GHG emissions, energy use, Scope-related data)
- Water use & wastewater data - (e.g. water withdrawal, consumption, discharge, wastewater treatment data)
- Supplier processes & practices - (e.g. production processes, management systems, operational practices)
- Biodiversity & land use - (e.g. land-use impacts, deforestation-related data)
- Animal welfare - (e.g. animal-derived materials and related practices)
Types of sustainability impact data
Impact data coverage indicates what topics a system can handle; traceability capabilities indicate how precisely that data can be linked to products, materials, and processes.
- Qualitative data - (e.g. yes/no answers, self-assessments, policy statements)
- Quantitative data - (e.g. numeric values, measurements, calculated indicators)
- Certificates & formal attestations - (e.g. certificates linked to suppliers, materials, or products)
- Calculated / derived indicators - (e.g. system-generated metrics based on underlying data)
Life Cycle Assessment (LCA) handling
Product carbon footprint (PCF) calculations represent a single impact category and do not constitute a full Life Cycle Assessment (LCA), which covers multiple environmental impact categories across the product life cycle
Life Cycle Inventory (LCI) data can be stored and managed - (e.g. LCA-ready process inputs/outputs, background data, activity data);
Risk assessment support
Risk assessment functionality indicates whether a platform supports identifying, prioritising, or visualising potential sustainability or compliance risks. Approaches vary significantly between tools and may rely on user-defined criteria, predefined rules, or system-generated indicators. Risk assessments are intended to support prioritisation and decision-making. They do not in themselves constitute legal compliance or due diligence.
No risk assessment functionality;
EU regulatory readiness
Regulatory readiness reflects how a provider monitors and responds to evolving EU sustainability and supply chain regulations. It does not constitute a claim of legal compliance, as regulatory scope and timelines are still evolving.
EU regulations directly shape Portia’s roadmap. We align features with ESPR and DPP requirements, monitor delegated acts, and help brands structure product and supply chain data to support compliance, reporting, and consumer-facing transparency.