Supply chain traceability platform

Digital Product Passport (DPP) / product transparency tool

RADIX Tree

RADIX Tree is a cloud-based supply chain traceability platform designed to track products, collect supplier data, perform risk assessments, and generate reports to meet regulatory and sustainability requirements. It targets brands, retailers, and suppliers across multiple tiers in sectors such as apparel, textiles, footwear, and furniture, with adaptations for small and medium enterprises. Key strengths include reducing manual effort, enhancing data quality, and supporting efficient compliance, risk mitigation, and consumer-facing transparency through features like Digital Product Passports.

AI-generated from all supplier submitted data.

Quick facts

Vendor

Global Traceability Solutions GmbH

Phone

+49 1729476766

Started (year)

2010

Country of origin

Germany

SME adaption

The tool has SME adaptions

Blockchain implementation

No blockchain involvement.

API integration approach

Both, depending on system and use case

Free test version

Yes

LCA frameworks supported

No specific standard alignment;

Primary data contributors

Shared data entry across multiple actors

Details

Description by tool provider

RADIX Tree is an end-to-end supply chain digital platform to track products and meet regulatory and sustainability requirements. It allows supplier data collection, risk assessment and reporting. It reduces manual effort, improves data quality and enables efficient compliance and risk mitigation.

Product segments covered by the tool

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

Platform technologies

  • Cloud-hosted platform
  • Software-as-a-Service (SaaS)
  • Multi-tenant system design
  • Role-based access control (RBAC)
  • QR code tagging
  • Automated rules engine
  • Relational database

Data input/output methods

  • Manual data entry
  • Bulk upload/export (Excel / CSV)
  • Inbound APIs
  • Outbound APIs
  • Reporting export
  • Files and document upload (Office 365, pictures, GeoJSON files).

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)
  • Biodiversity & land use - (e.g. land-use impacts, deforestation-related data)
  • Human rights & working conditions - (e.g. labor practices, social compliance data)
  • Supplier processes & practices - (e.g. production processes, management systems, operational practices)
  • 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)
  • Chemical impact & compliance data - (e.g. restricted substances, chemical inventories, compliance status)
  • Water use & wastewater data - (e.g. water withdrawal, consumption, discharge, wastewater treatment 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.

  • Quantitative data - (e.g. numeric values, measurements, calculated indicators)
  • 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)
  • 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);

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.

  • 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)
  • 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)
  • 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)

Digital Product Passport (DPP) development activity

Suppliers upload the necessary product-based data in RADIX Tree. After the GTS risk assessors evaluate the data compliance with DPP requirements, operators submit the data to the EU central registry directly from the system, from where they also generate and publish the QR code for consumers.

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.

A dedicated internal Product Manager constantly checks official regulation updates and translates them into technical requirements. These are reviewed by the GTS risk assessors and passed over to the IT team for development. Customers are notified once the changes are implemented.