Blockchain: effective for improved data sharing in the retail industry?
6. March 2020 | News, Retail Technology, What´s new in Retail

The Auburn University RFID Lab, in collaboration with GS1 US, completed a proof-of-concept that demonstrates the effectiveness of blockchain and radio frequency identification (RFID) technologies to improve serialized data sharing in the retail industry. Participating companies included: Nike, PVH Corp., Herman Kay, Macy’s, Kohl’s, Mojix, Avery Dennison, SML, IBM and Collaboration, LLC.

The researchers examined the exchange of serialized product data between paired brands and retailers. The findings confirmed that a blockchain network was capable of sharing item-level data encoded in RFID tags between the participants. The automation of serialized product data exchange using blockchain can potentially eliminate the need for human audits and counting, increasing the productivity and efficiency of the retail supply chain.

As documented in Project Zipper, a 2018 Auburn University RFID Lab study and a precursor to CHIP, the presence of serialized data in the supply chain has grown rapidly as more brands adopt RFID tags and infrastructure to collect information on individual items flowing through their facilities. However, industry stakeholders reported poor item-level visibility due to a lack of data sharing. CHIP provides evidence that blockchain technology, in combination with a GS1 data-sharing standard called EPCIS (Electronic Product Code Information Services), allows partners to transmit data more directly and efficiently, while maintaining ownership of their data.

“By exploring the intersection of RFID and blockchain technology, we’ve taken an important step in our mission to help rid the retail supply chain of costly errors and inefficiencies caused by outdated processes and legacy systems”, said Justin Patton, director, the Auburn University RFID Lab.

Later this year, the Auburn University RFID Lab will launch a follow-up pilot study, focusing on the financial implications of data exchange automation. Participants and researchers will more specifically test how a blockchain-based, serialized data solution can help eliminate claims and chargebacks that occur between brands and retailers.

For more information about CHIP, please visit To learn more about the role of GS1 Standards to support blockchain implementations, please visit

Source: GS1 US

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