Published July 31, 2025 | Version v1

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

  • 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.

Description

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.

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