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Use Cases

This section provides a structured registry of real-world supply-chain scenarios that are enabled, or planned to be enabled, by the UNTP Textiles extension.

Each use case page describes:

  • The actors involved
  • The flow of materials and data
  • How UNTP’s core constructs (facility records, conformity credentials, product passports, traceability events, etc.) are used
  • The benefits of using UNTP.

Available Use Cases​

Use CaseSummary / Purpose
Chain-of-Custody via Scope & Transaction CertificatesDemonstrates how traditional scope certificates (facility-level) and transaction certificates (shipment-level) can be mapped to UNTP constructs, enabling auditable, interoperable chain-of-custody for certified materials.
Mixed Identifier SchemesShows how different identifier schemes (registry-managed like GS1, national registries, and self-issued like DIDs) can work together seamlessly in textile supply chains through the UNTP Identity Resolver, enabling interoperability without requiring actors to change existing systems.
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💡 As the extension evolves, this page will grow — new use cases and variations can be added to reflect emerging needs in sustainability, traceability, circularity, and compliance.

Getting Started​

To begin exploring a use case:

  1. Click on the use case name above to navigate to its detailed page.
  2. Review the Actors, Data Flow, UNTP Mapping, Sample Data, and Benefits sections.
  3. Use the examples as a reference for designing your own implementations, or for contributing new use-case variants relevant to your supply chain.

Submitting a New Use Case​

If you identify a supply-chain scenario not yet covered:

  • Create a new issue on the UNTP Textiles GitLab Repository here
  • Provide a detailed description of the use case and a justification for why it is relevant to the UNTP.
  • Create a Merge Request to add the new use case to the repository.

Ready to get started? Navigate to one of the use cases above to dive deeper — or propose a new use-case to suit your supply-chain model.