Supply chain traceability platform

Digital Product Passport (DPP) / product transparency tool

TrusTrace

TrusTrace is a supply chain traceability platform primarily focused on the textile and apparel industry, serving over 60 global fashion brands and 18,000 suppliers by enabling product transparency and compliance through features like material flow tracking, supplier mapping, and Digital Product Passport integration. It supports a wide range of product segments including apparel, footwear, and home textiles, with adaptations for SMEs, and incorporates advanced technologies such as AI-driven risk assessment, cryptographic integrity checks, and automated data exchange via APIs. Key strengths include dedicated regulatory research for readiness with frameworks like ESPR and EUDR, comprehensive sustainability data handling including LCA imports and chemical traceability, and consumer-facing access for product views.

AI-generated from all supplier submitted data.

Quick facts

Vendor

SWIN Technologies AB

Phone

+46-0726482465

Started (year)

2016

Country of origin

Sweden

SME adaption

SME-specific version is available

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

For over 10 years, TrusTrace has been the traceability platform of choice for the textile & apparel industry — trusted by 60+ global fashion brands and 18,000+ suppliers. With dedicated regulatory research teams and deep industry focus, we keep brands ready with compliance, risk, and impact needs.

Product segments covered by the tool

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

Platform technologies

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

Data input/output methods

  • Bulk upload/export (Excel / CSV)
  • Manual data entry
  • Scheduled file import/export
  • Inbound APIs
  • Outbound APIs
  • Event-based APIs (webhooks, outbound)
  • Workflow automation
  • 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)

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

TrusTrace has partnership and integrations Peftrust to do the impact calculations according to the multiple standards such as PEF, Eco Score, etc. TrusTrace collects and validates the primary data required from the suppliers about the products and their facilities and the impact calculations are done on the Peftrust platform. The data exchange between TrusTrace and Peftrust happen automatically through integrations. ;

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.

  • 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)
  • Tier 3+ suppliers - (e.g. raw material processors, fiber producers)
  • Service providers / auditors / certification bodies - (e.g. third-party verification or compliance 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)

Digital Product Passport (DPP) development activity

  • Vinnova-funded Trace4Value pilot shaped DPP standards
  • Published DPP Data Protocol at trustrace.com/downloads/digital-product-passport-data-protocol . Active in CIRPASS-2, CEN/CENELEC JTC24 & Policy Hub. Live Ex: https://dpp.ginatricot.com/01/07314131440578/21/1

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.

Our dedicated regulatory team monitors ESPR, EUDR, Forced Labour & EPR, feeding directly into our roadmap. CEN/CENELEC JTC24, CIRPASS-2 & Policy Hub memberships ensure early alignment. Customers receive regular updates, with platform workflows built per regulation.