Repass

Description by tool provider

Repass is a data management platform built to create transparency and traceability across industries such as fashion and textiles, food and beverage and construction. We help companies turn fragmented data into a flexible, scalable system — without unnecessary complexity, disruption, or cost.

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
• •Relational database
• •Cryptographic integrity checks (hashing, signatures)
• •Automated rules engine
• •QR code tagging
• •RFID/NFC technology

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

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)
• •Animal welfare - (e.g. animal-derived materials and related practices)
• •Human rights & working conditions - (e.g. labor practices, social compliance data)
• •Supplier processes & practices - (e.g. production processes, management systems, operational practices)
• •Chemical impact & compliance data - (e.g. restricted substances, chemical inventories, compliance status)
• •Biodiversity & land use - (e.g. land-use impacts, deforestation-related 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)
• •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)
• •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.

Manual or externally defined risk assessments can be stored - (e.g. risk ratings entered by users or imported from external sources);

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)
• •Logistics or downstream partners - (e.g. distributors, recyclers, end-of-life actors)
• •Consumers or external stakeholders - (e.g. read-only access via QR/DPP)

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

Multiple active DPP projects in various product segments. Most relevant might be textile products like the BRAV group (Swix, Ulvang, Helsport, Lundhags and Toko brands). Example using GS1 Digital Link: https://id.gs1.org/01/7045952686820/21/100001

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.

Continuously updated and monitored. The Repass platform is fully flexible in terms of data architecture, and changes in regulations usually has no consequences for the platform and its use.