Fujitsu has developed a multi-AI agent collaboration technology that enables secure collaboration and swift response to changing circumstances among AI agents from different companies and vendors within a supply chain. The Japan-based digital services leader will begin large-scale field trials in January 2026 to optimise the supply chain of Rohto Pharmaceutical, in partnership with the Institute of Science Tokyo (Science Tokyo). 

The technology is designed to streamline day-to-day supply chain operations while enabling rapid recovery during emergencies like sudden demand shifts or disasters.

Under its Uvance business model, Fujitsu plans to leverage the technology developed in these trials to realize secure data collaboration through AI agent cooperation across borders and industries. The aim is to drive resilient supply chains and sustainable industrial growth, ensuring reliability and governance in multi-vendor environments.

Katsuki Fujisawa, Professor, Digital Twin Research Unit, Institute of Integrated Research, and Department of Mathematical and Computing Science, School of Computing, Science Tokyo, commented. “Science Tokyo is actively promoting Cyber-Physical Systems (CPS) research and working to improve efficiency across the entire industrial value chain. Moving forward, by collaborating with Fujitsu's agentic AI technology to optimise the entire supply chain, we aim to contribute to the advancement of industry and the resolution of societal challenges.”

In earlier virtual field trials, Fujitsu combined its multi-AI collaboration technology with Science Tokyo’s AI agent systems to simulate Rohto Pharmaceutical’s logistics network. The test showed potential transportation cost reductions of up to 30 percent by optimising routing and scheduling.

From January 2026 to March 2027, Fujitsu will conduct more practical and large-scale trials, simulating real-world conditions using Rohto Pharmaceutical's supply chain.