Fujitsu field trials to combine AI agents in supply chains
- December 1, 2025
- Steve Rogerson

Japanese tech giant Fujitsu will start field trials next month that combine AI agents from different companies and vendors within a supply chain.
Fujitsu is developing 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.
Leveraging this technology, Fujitsu will start field trials in January 2026 to optimise the supply chain of Rohto Pharmaceutical in collaboration with the Institute of Science Tokyo. This should not only streamline daily supply chain operations but also facilitate rapid recovery during emergencies such as sudden demand shifts or disasters.
In addition, Fujitsu will contribute to the industry promotion activities of the Council on Competitiveness-Nippon (CoCN, www.cocn.jp) to realise AI spaces that enable secure data and AI collaboration across different companies, aiming to strengthen the competitiveness of Japanese industry through agentic AI.
Fujitsu will continue to advance demonstration and technological enhancement with Science Tokyo and Rohto Pharmaceutical, aiming for expansion into diverse industries, including manufacturing. Fujitsu will also develop technology for broader and more complex supply chains, targeting provision through its Uvance business model’s dynamic supply chain services by the end of fiscal 2026. This should bring a new perspective to corporate supply chain strategies, enhancing resilience and enabling sustainable business operations.
Under its Uvance business model, Fujitsu will leverage the technology developed in these trials to realise secure data collaboration through AI agent cooperation across borders and industries. This should drive resilient supply chains and sustainable industrial growth, ensuring reliability and governance in multi-vendor environments.
“Science Tokyo is actively promoting cyber-physical systems research and working to improve efficiency across the entire industrial value chain,” said Katsuki Fujisawa, a professor at Science Tokyo (www.isct.ac.jp). “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.”
The technology should enable global optimal control for AI agents under incomplete information. It enables effective collaboration between AI agents from different companies without the need for disclosure of sensitive data, which is typically required for inter-company AI agent coordination.
A proposing AI agent approximates characteristics of other agents through suggestion and answer exchanges (negotiation-based approach developed by Fujitsu); based on these approximations, the proposing agent identifies the optimal overall state for the entire supply chain.
A gateway built on distributed AI learning technology and AI agent communication guardrail technology enables seamless and secure collaboration among AI agents from different companies and vendors, while protecting confidential and private corporate information.
During setup, the technology allows AI agents to learn supply chain characteristics and optimise their operations without direct sharing of sensitive data by leveraging knowledge distillation, a technique in deep learning to transfer knowledge from a teacher model to a student model. In Fujitsu’s approach, knowledge is drawn from multiple teacher models, and pairing is dynamically determined based on past performance and reliability
In operation, this technology, based on Fujitsu’s LLM guardrail expertise, detects malicious queries and prevents the inference of confidential information; it secures communication by repeatedly simulating AI agent behaviour and responses, updating and providing information in a safe, non-inferable format.
Combining Science Tokyo’s AI agent technology with its own multi-AI agent collaboration technology, Fujitsu (global.fujitsu), in collaboration with Rohto Pharmaceutical (www.rohto.co.jp), conducted initial field trials on a virtual supply chain to optimise logistics routes and schedules, confirming a potential reduction of up to 30% in transportation costs. 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.


