Sustainability / ESG data management & reporting tool
Supply chain traceability platform
Credibl AI Traceability Platform
Credibl AI Traceability Platform is a blockchain-based tool that enables end-to-end material traceability, offering batch and lot-level drilldown of material flows from raw materials to finished goods, with support for sustainability and ESG data management. It targets brands, retailers, and suppliers across multiple tiers in industries such as apparel, textiles, footwear, and furniture, facilitating data exchange among value chain actors including consumers via QR codes. Key strengths include SME adaptations, integration of AI/machine learning, risk assessment features, and support for various LCA frameworks and data types.
AI-generated from all supplier submitted data.
Quick facts
Website
Started (year)
Country of origin
SME adaption
API integration approach
Free test version
Primary data contributors
Details
Description by tool provider
Credibl Traceability is a blockchain based end-to-end material traceability platform that provides batch level and lot-level drilldown of material flows from raw material to finished goods and beyond.
Product segments covered by the tool
- Apparel
- Home textiles
- Footwear
- Textile & leather accessories and goods -
- Other non-textile products
- Furniture
- Sports & outdoor equipment
Platform technologies
- Software-as-a-Service (SaaS)
- Cloud-hosted platform
- Multi-tenant system design
- Relational database
- Graph database
- Role-based access control (RBAC)
- Blockchain / Distributed Ledger Technology
- Cryptographic integrity checks (hashing, signatures)
- Automated rules engine
- AI/Machine learning models
- 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
- Reporting export
- 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)
- Carbon & energy data - (e.g. GHG emissions, energy use, Scope-related data)
- Life Cycle Assessment (LCA) data - (e.g. environmental footprint indicators at product or material level)
- 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)
- Product carbon footprint (PCF) calculations functionality only - (e.g. climate impact without full life cycle scope)
LCA frameworks supported
- ISO 14040 / 14044
- EU Product Environmental Footprint (PEF)
- French Ecobalyse / Eco Score
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)
- 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)
- Consumer-facing access is in pilot or limited deployments only