Toyota Systems has completed field trials leveraging Fujitsu’s generative AI offerings on Fujitsu Kozuchi to improve productivity and accelerate the modernisation of its system development and operations.
The trials confirmed a 50% reduction in the work time required for system updates as compared to conventional manual processes. The reductions were achieved by automating incompatibility checks and removals and program correction associated with OS and programming language updates.
Based on these positive results, Toyota Systems will commence practical application of this technology in January 2025.
Toyota Systems develops and operates core systems for production, logistics, sales, and other functions used by the Toyota Group.
Sometimes it is necessary to update the underlying OS and programming languages of these systems, but carrying out the associated tasks of compatibility checks, identifying affected areas, correcting programs, and conducting testing are labor-intensive.
To address this challenge, Toyota Systems and Fujitsu started trials in October 2023, leveraging Toyota Systems’ expertise in core systems and Fujitsu’s software development and generative AI knowledge to find a way to streamline the updating process.
The field trials focused on about 15,000 files developed in Java and SQLJ. The generative AI successfully extracted system-impacting incompatibilities based on provided information and automatically corrected the programs.
Toyota Systems and Fujitsu confirmed the corrections were accurate and as a result achieved a 50% reduction in work time compared to if the tasks had been carried out manually.
Moving forward, the two companies aim to further improve productivity by expanding the application of generative AI to other programming languages beyond Java and SQLJ, as well as to the testing phase.
They also plan to deploy this technology to other Toyota Group systems and projects to accelerate modernisation across the organisation.
Toyota Systems will leverage generative AI to radically improve system development efficiency, freeing up resources to drive further innovation.