tex.tracer

Description by tool provider

tex.tracer is the transparency platform that collects product and supply chain data from primary source by connecting with supply chain partners and authenticates this data using time and geolocation stamps, peer-to-peer reviews and blockchain technology.

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
• •Role-based access control (RBAC)
• •Blockchain / Distributed Ledger Technology
• •QR code tagging

Blockchain implementation

Time- and geo-location stamped data is notarised on our private blockchain (Hyperledger Fabric) to ensure immutable data.

Data input/output methods

• •Bulk upload/export (Excel / CSV)
• •Inbound APIs
• •Reporting export
• •Outbound APIs

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.

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)
• •Supplier processes & practices - (e.g. production processes, management systems, operational practices)
• •Human rights & working conditions - (e.g. labor practices, social compliance data)
• •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)
• •compliance data

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)
• •Verification & audit evidence - (e.g. audit results, third-party verification status)
• •Certificates & formal attestations - (e.g. certificates linked to suppliers, materials, or products)
• •Quantitative data - (e.g. numeric values, measurements, calculated indicators)
• •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)
• •The platform includes LCA calculation functionality - (e.g. impacts are calculated within the system - multiple impact categories)

LCA frameworks supported

• •EU Product Environmental Footprint (PEF)
• •ISO 14040 / 14044

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)
• •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)
• •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)
• •Consumer-facing content is configurable by the brand - (e.g. control over which data is displayed)

Digital Product Passport (DPP) development activity

tex.tracer enables brands to generate Digital Product Passports by aggregating value chain data and making it accessible via QR codes, ensuring readiness for upcoming transparency requirements.

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 roadmap is aligned with the ESPR and CSRD. We focus on providing authenticated data necessary for EU regulatory reporting and ensuring all tiers of the value chain are mapped for due diligence compliance.