Adeshina, Yusuff Taofeek and Adeleke, Emmanuel and Ndukwe, Maduabuchi Okoji (2025) 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, 27 (1). pp. 401-414. ISSN 2581-9615
Abstract
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.
| Item Type: | Article |
|---|---|
| Official URL: | https://doi.org/10.30574/wjarr.2025.27.1.2552 |
| Uncontrolled Keywords: | Blockchain; Supply Chain; Large Language Model; Artificial Intelligence; Digital |
| Date Deposited: | 01 Sep 2025 13:39 |
| Related URLs: | |
| URI: | https://eprint.scholarsrepository.com/id/eprint/4869 |