Fujitsu Quickly Responds to Supply Chain Challenges

Fujitsu announced the launch of a new solution that utilizes AI agents to facilitate rapid impact analysis and optimal decision-making in global supply chains. This plan aims to enhance the resilience of the global supply chain and will be launched today as a new feature of Fujitsu’s unified operations platform, Fujitsu Data Intelligence Platform-as-a-Service (DI PaaS), aimed at global customers. The platform is part of Fujitsu’s cross industry business model, Fujitsu Uvance, and aims to address social issues.

Fujitsu will continue to enhance resilience and contribute to a sustainable world by integrating data, artificial intelligence technology, and industry expertise, minimizing the impact on customer business even in unforeseeable circumstances.

Leading in Uncertainty: Supporting Customer Resilience in Industry Supply Chain Challenges

In recent years, geopolitical risks, natural disasters, and market volatility have intensified the uncertainty of global businesses. The manufacturing industry faces particularly significant risks due to its complex global supply chain. Unforeseeable events may lead to changes in transportation routes, production interruptions, and increased costs, thereby exerting downward pressure on profits and reducing competitiveness. Traditional supply chain management is difficult to respond quickly, and reviewing business continuity plans (BCPs) and enhancing supply chain resilience have become urgent tasks.

Solution features

This solution integrates data from both internal and external sources, enabling quick identification of products severely affected by market fluctuations and calculation of profit impact. By utilizing the powerful data integration capabilities of DI PaaS, analysis that originally required weeks can now be completed within days. AI agents propose countermeasures and suggestions to promote optimal decision-making through screen simulation.

This solution enhances supply chain resilience through the following three key steps:

1. Analysis of Profit and Cost Structure

Visualize suppliers and factories in the global supply chain affected by market fluctuations

Present the import costs generated by each product and route

Enable customers to have a detailed understanding of their profit and cost structure, and identify potential risks

2. Strategic Pricing Simulator

Using Price Elasticity Model to Analyze the Impact of Price Changes on Demand

Simulate the appropriate selling price for each product when the cost structure changes due to market fluctuations

Assist in developing the best pricing strategy to respond to market changes and maximize customer revenue

3. Operation Change Simulator

By analyzing the changes in cost structure and profit when purchasing from sources with high import costs, support supply chain optimization

AI agents evaluate the impact of operational changes, such as selecting alternative suppliers and changing transportation routes, coordinating agents for comprehensive judgment, supporting rapid impact analysis and optimal decision-making

Shotaro Yachi, Chairman of Fujitsu Future Research Center, commented, “We are witnessing significant changes in the international situation. In these rapidly evolving times, understanding the environment, planning direction, and adapting to changes are crucial. I firmly believe that Fujitsu’s innovative business model and advanced technology will rapidly develop and provide solutions to enhance the resilience of Japanese industry in various environmental changes.”