Digital Product Passport (DPP) / product transparency tool

Physical product tracing / tagging solution

TrueTwins

TrueTwins is a Digital Product Passport (DPP) solution that enables product transparency, traceability, and sustainability data management for physical goods, adhering to standards like ISO, GS1, UNTP, and EU regulations. It targets companies in sectors such as apparel, furniture, and footwear, including SMEs, by facilitating data exchange among brands, suppliers, auditors, and consumers. Key strengths include support for chemical substance traceability, life cycle assessment integration, risk assessment tools, and consumer-facing access via QR codes, with a cryptographically verified ledger for data integrity.

AI-generated from all supplier submitted data.

Quick facts

Vendor

SUSTAIN A/S

Started (year)

2018

Country of origin

Denmark

SME adaption

The tool has SME adaptions

API integration approach

Both, depending on system and use case

Free test version

No

Primary data contributors

Shared data entry across multiple actors

Details

Description by tool provider

SUSTAIN A/S is a scandinavian innovation lab empowering companies to meet EU regulations, build trust, and drive sustainability. TrueTwins delivers a Digital Product Passport solution and interoperable DPP foundation, adhering to ISO and GS-1 standards, UNTP frameworks and EU regulation.

Product segments covered by the tool

  • Apparel
  • Furniture
  • Footwear
  • Other non-textile products
  • Sports & outdoor equipment
  • Textile & leather accessories and goods -
  • Home textiles

Platform technologies

  • Software-as-a-Service (SaaS)
  • Cloud-hosted platform
  • Multi-tenant system design
  • Relational database
  • Role-based access control (RBAC)
  • Cryptographic integrity checks (hashing, signatures)
  • AI/Machine learning models
  • QR code tagging
  • RFID/NFC technology
  • Automated rules engine

Blockchain implementation

TrueTwins operate with a cryptographically verified and auditable ledger (not distributed), with third party time-stamps for auditing all events.

Data input/output methods

  • Manual data entry
  • Bulk upload/export (Excel / CSV)
  • Scheduled file import/export
  • Inbound APIs
  • Outbound APIs
  • Event-based APIs (webhooks, outbound)
  • Workflow automation
  • IFTTT-style automation connectors
  • 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)
  • 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)
  • Chemical impact & compliance data - (e.g. restricted substances, chemical inventories, compliance status)
  • Supplier processes & practices - (e.g. production processes, management systems, operational practices)
  • Human rights & working conditions - (e.g. labor practices, social compliance data)
  • 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)
  • Verification & audit evidence - (e.g. audit results, third-party verification status)
  • 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

LCA results from external tools can be imported and stored - (e.g. impact indicators calculated elsewhere);

LCA frameworks supported

  • ISO 14040 / 14044
  • EU Product Environmental Footprint (PEF)
  • GS1 Digital Link, UNECE REC 49, W3C DiD

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.

  • Manual or externally defined risk assessments can be stored - (e.g. risk ratings entered by users or imported from external sources)
  • Rule-based risk assessments are supported - (e.g. risks derived from predefined rules or thresholds)
  • Data-driven risk indicators are generated by the system - (e.g. risk signals based on traceability or impact data)
  • Risk visualisation and hotspot identification - (e.g. dashboards, maps, or prioritisation views)

Value chain actors involved in data exchange

  • Brand / retailer users - (e.g. internal teams managing products, suppliers, or reporting)
  • Tier 1 suppliers - (e.g. cut-and-sew factories, final assemblers)
  • Tier 2 suppliers - (e.g. mills, dye houses, processors)
  • Service providers / auditors / certification bodies - (e.g. third-party verification or compliance actors)
  • Consumers or external stakeholders - (e.g. read-only access via QR/DPP)
  • Logistics or downstream partners - (e.g. distributors, recyclers, end-of-life actors)

Consumer-facing access to product data

  • Consumer-facing product views are provided - (e.g. via QR code, URL, or Digital Product Passport interface)
  • External stakeholder access (read-only) - (e.g. regulators, auditors, partners)
  • Consumer-facing content is configurable by the brand - (e.g. control over which data is displayed)
  • Consumer-facing access is in pilot or limited deployments only

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.

We are currently engaged in pilot projects against CEN (JTC24) in collaboration with Accenture, Celonis & GS1