Supply chain traceability platform

Digital Product Passport (DPP) / product transparency tool

Circularise Product Traceability Platform

The Circularise Product Traceability Platform is a supply chain traceability tool designed for multi-tier supply chains, enabling data collection on suppliers and materials beyond tier 1, batch traceability, mass balance, and disclosure via Digital Product Passports with confidentiality and verifiability features. It targets brands, retailers, suppliers across all tiers, service providers, and consumers, covering product segments like textiles, footwear, furniture, and sports equipment, with adaptations for SMEs. Key strengths include blockchain-based tamper-proof verification, support for sustainability data such as LCA, chemical traceability, and risk assessments, along with consumer-facing access via QR codes and compliance with EU regulations like ESPR.

AI-generated from all supplier submitted data.

Quick facts

Vendor

Circularise B.V

Phone

+31 (0) 85 303 39 72

Started (year)

2016

Country of origin

The Netherlands

SME adaption

The tool has SME adaptions

Blockchain implementation

Key data are fingerprinted on a public blockchain to provide verifiability and tamper-proof evidence.

API integration approach

Generic APIs requiring custom development and mapping

Free test version

No

LCA frameworks supported

No specific standard alignment;

Primary data contributors

Shared data entry across multiple actors

Details

Description by tool provider

Circularise is a product traceability platform for multi-tier supply chains. It supports supplier & part/material data collection beyond tier 1, batch traceability & mass balance, and data disclosure via Digital Product Passports, with confidentiality protection and verifiability.

Product segments covered by the tool

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

Platform technologies

  • Software-as-a-Service (SaaS)
  • Blockchain / Distributed Ledger Technology
  • Cryptographic integrity checks (hashing, signatures)
  • Automated rules engine
  • AI/Machine learning models
  • QR code tagging
  • Cloud-hosted platform
  • Role-based access control (RBAC)

Data input/output methods

  • Manual data entry
  • Bulk upload/export (Excel / CSV)
  • 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)
  • 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)
  • LCA results from external tools can be imported and stored - (e.g. impact indicators calculated elsewhere)

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)
  • 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

Digital Product Passport (DPP) module with QR/GS1 Digital Link data disclosure. Used in customer projects such as Samsonite’s circular suitcase, and supports compliance-focused data sharing for regulations like ESPR and the EU Battery Regulation.

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.

Roadmap driven by EU requirements (e.g., ESPR/DPP, EU Battery Regulation). Supports structured supplier data collection, audit-ready reporting, and verifiable disclosure via DPP/QR. Connects with EU databases such as UDB, with EU DRR Registry planned.