Decentralized Supply Chain Provenance and Optimization Using Blockchain and AI/ML

Authors

  • Laxmikanth Mukund Sethu Kumar Executive Director, JP Morgan Chase Bank, Lewisville, TX 75067, USA. Author

DOI:

https://doi.org/10.63397/ISCSITR-IJCSE_2025_06_02_003

Keywords:

Supply Chain, AI, Blockchain, ML

Abstract

In this study, a decentralized supply chain framework based upon blockchain and AI/ML for provenance is proposed and combined for intelligent optimization in decentralized supply chain. It gives traceability, automates transactions and makes better decision making with real time data. It proves through use cases, measurable gains on efficiency, transparency and resilience in a number of industry domains.

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Published

2025-04-23

How to Cite

Decentralized Supply Chain Provenance and Optimization Using Blockchain and AI/ML. (2025). ISCSITR- INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND ENGINEERING (ISCSITR-IJCSE) - ISSN: 3067-7394, 6(2), 15-25. https://doi.org/10.63397/ISCSITR-IJCSE_2025_06_02_003