1 Department of Business Analytics, Pompea College of Business, University of New Haven, United States of America.
2 Department of Business Administration, Duke University, United States of America.
3 Department of Business Administration, Pompea College of Business, University of New Haven, United States of America.
World Journal of Advanced Research and Reviews, 2025, 27(01), 401-414
Article DOI: 10.30574/wjarr.2025.27.1.2552
Received on 27 May 2025; revised on 01 July 2025; accepted on 04 July 2025
This study examines the implementation of a pioneering multi-agent Large Language Model (LLM) ecosystem within the United States’ supply chain infrastructure, designed to enhance working capital optimization and operational resilience. Through the integration of artificial intelligence, blockchain technology, and collaborative frameworks, this pilot program demonstrates significant potential for transforming traditional supply chain finance mechanisms while addressing critical vulnerabilities exposed during recent global disruptions. The research synthesizes theoretical foundations with practical applications, revealing how digital transformation initiatives can unlock substantial value within complex supply networks.
Blockchain; Supply Chain; Large Language Model; Artificial Intelligence; Digital
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Yusuff Taofeek Adeshina, Emmanuel Adeleke and Maduabuchi Okoji Ndukwe. United States pilot of an agile, multi-agent LLM ecosystem and IT business infrastructure for unlocking working capital and resilience in value-based supply-chain processes. World Journal of Advanced Research and Reviews, 2025, 27(01), 401-414. Article DOI: https://doi.org/10.30574/wjarr.2025.27.1.2552.
Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0