GS1 US is establishing a cross-industry discussion group to help companies better understand the transformative qualities of blockchain in the supply chain, and prepare for blockchain implementations using GS1 Standards. The most widely-used supply chain standards in the world, GS1 Standards provide a foundational data structure and systems interoperability to help drive blockchain success.
The initial meeting will be held November 28-29, 2018 in Chicago, Illinois. Members of GS1 US initiatives in the apparel/general merchandise, foodservice, healthcare and retail grocery industries will join GS1 US experts to discuss how the distributed ledger technology facilitates decentralized, secure, and efficient data exchange. They will navigate how blockchain supports supply chain imperatives, including product traceability and authentication, which can enable product information transparency. The group will also identify process gaps that GS1 Standards and industry can address, align industries on the role of GS1 Standards in blockchain, and develop “Getting Started” guidance.
“With so many diverse use cases being piloted—from improving product recalls to helping companies meet regulatory requirements—industry has determined that blockchain should be examined more closely,” said Siobhan O’Bara, senior vice president of industry engagement and services. “Leveraging the blockchain expertise and guidance that GS1 US has provided over the last year, this group will help determine a path forward that supports the supply chain’s current and future investments in GS1 Standards, and strengthen the progress we’ve already accomplished in the areas of visibility, traceability and transparency.”
After the initial face-to-face meeting, the Discussion Group will meet monthly to continue to exchange information around various use cases, and develop guidance and resources. Members interested in joining the group should possess skill sets in one or more of the following areas: data management, sales/account management, inventory management, master data management, operations, or information technology.