> For the complete documentation index, see [llms.txt](https://docs.zkpass.org/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.zkpass.org/overview/use-cases/supply-chain-and-enterprise-data.md). # Supply Chain and Enterprise Data Global supply chains and enterprise systems manage sensitive commercial information ranging from invoices to certificates of origin. Current verification methods depend on centralized registries and paper-based audits, which are costly, slow, and vulnerable to forgery. zkPass introduces cryptographic verification for enterprise and supply chain data, enabling selective disclosure of compliance attributes without exposing full documents. **Limitations of current supply chain systems** * Paper-based certificates subject to forgery and duplication. * Limited interoperability between enterprise systems and regulators. * Data silos preventing real-time verification across logistics networks. **zkPass approach** * zkTLS proofs generated directly from enterprise systems such as ERP, logistics platforms, or customs databases. * Selective disclosure of compliance attributes such as “organic certified,” “origin country = Japan,” or “batch temperature maintained.” * Proofs portable across regulators, partners, and end-users. **Applications** * Authenticity verification of luxury goods, pharmaceuticals, or critical components. * Compliance proofs for carbon accounting, environmental standards, or labor certifications. * Trade finance verification of invoices, bills of lading, and letters of credit without exposing sensitive details. **Strategic impact**\ zkPass enables global supply chains to achieve transparency without compromising commercial confidentiality. This strengthens trust between enterprises, regulators, and consumers while reducing fraud and compliance costs. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://docs.zkpass.org/overview/use-cases/supply-chain-and-enterprise-data.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.