07/14/2025 | Press release | Distributed by Public on 07/13/2025 19:15
Developed on the "Fujitsu Data Intelligence PaaS (1)" all-in-one operation platform offered under the Fujitsu Uvance business model to solve societal issue, the solution transforms inventory management and ordering operations in the supply chain and supports advanced management decision-making. The "Fujitsu Kozuchi AutoML" AI service, which can rapidly generate high-precision machine learning models, creates dozens of demand forecasting models in minutes from data automatically gathered and ordered using a knowledge graph. The solution employs multiple AI agents specialized for tasks such as procurement, inventory, production, and sales. Based on real-time alerts for inventory shortages or excess inventory, each AI agent develops countermeasures such as changing suppliers or allocating inventory. From the proposed countermeasures, the orchestrator agent selects the best option considering the balance of cost, lead time, and risk, and the evaluator agent assesses its validity, enabling users to quickly take optimal action based on proposals made by AI.
A simulation carried out using data from an imagined major company with approximately US$10 billion in annual sales, showed the solution reducing annual inventory management costs by approximately US$15 million and cutting unnecessary inventory stock by approximately US$20 million, in addition to reducing work hours by more than 50%. The solution was also able to carry out an operating profit impact assessment following a simulated natural disaster within 3 hours of its occurrence.
Fujitsu provides this solution to manufacturing customers facing inventory management challenges, supporting supply chain efficiency and resilience enhancement. Moving forward, Fujitsu will continue to assist its customers in making optimal decisions to swiftly respond to unforeseen events such as geopolitical risks, natural disasters, and market fluctuations.
Under Fujitsu Uvance, Fujitsu will leverage Decision Intelligence utilizing data and AI to strengthen sustainability in the face of supply chain uncertainty, advancing both corporate value creation and social contribution.