Fujitsu Develops Multi-AI Agent Collaboration Technology for Supply Chains
Fujitsu has developed a multi-AI agent collaboration technology to support secure cooperation among AI systems across different companies and vendors within supply chains, announced in a press release. The company plans to start field trials in January 2026 with Rohto Pharmaceutical Co., Ltd. and the Institute of Science Tokyo to optimize Rohto's supply chain operations.
The new technology is designed to enable faster responses to changing conditions, such as sudden demand fluctuations or disruptions, by allowing AI agents from multiple organizations to share information securely and coordinate actions. Fujitsu aims to apply this system to improve both daily supply chain management and emergency recovery processes.
The trials will also contribute to activities by the Council on Competitiveness-Nippon to promote secure data and AI collaboration across industries. Fujitsu plans to expand the technology's use to other sectors, including manufacturing, and integrate it into its Uvance business model’s Dynamic Supply Chain services by the end of fiscal 2026.
We hope you enjoyed this article.
Consider subscribing to one of our newsletters like Enterprise AI Brief or Daily AI Brief.
Also, consider following us on social media:
More from: Enterprise
Subscribe to Enterprise AI Brief
Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.
Market report
Superagency in the Workplace: Empowering People to Unlock AI’s Full Potential
This report explores the transformative potential of artificial intelligence in the workplace, emphasizing the readiness of employees versus the slower adaptation of leadership. It highlights the significant productivity growth potential AI offers, akin to historical technological shifts, and discusses the barriers to achieving AI maturity within organizations. The report also examines the role of leadership in steering companies towards effective AI integration and the need for strategic investments to harness AI's full capabilities.
Read more