Tsuneishi Shipbuilding Overhauled Procurement With AI

The shipbuilder is replacing aging inventory systems with cloud-based microservices to cut development time.

Updated on Oct. 9, 2026 in Manufacturing

Tsuneishi Shipbuilding Overhauled Procurement With AI

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Tsuneishi Shipbuilding has launched an AI-assisted modernization of its procurement and inventory management systems. The initiative replaces a 15-year-old architecture with a cloud-based microservices platform.

Why it matters

The transition addresses escalating maintenance costs caused by decades of accumulated, disparate software modifications. By bringing development in-house, the firm aims to regain control over its core operational infrastructure.

The firm expects the initiative to reduce software development work by more than 70% compared to legacy maintenance demands. This overhaul replaces an infrastructure that had been in place for over 15 years.

The players

Tsuneishi Shipbuilding

A major Japanese shipbuilding company that operates shipyards across Japan, China, and the Philippines.

Scalar

A technology provider specializing in data integration and enterprise software architecture.

Tatsuya Kurotobi

An engineer who completed specialist training at Scalar to lead the internal modernization project.

Goki Matsuo

An engineer who completed specialist training at Scalar to lead the internal modernization project.

The details

Tsuneishi is utilizing Kong Konnect for API management and ScalarDB for data integration to unify its fragmented systems. AI tools are employed to analyze existing source code, mapping relationships that were previously obscured by successive updates. The company expects this platform to serve as a standard across its shipyard operations in Japan, China, and the Philippines.

Timeline

  1. September 2026: Tsuneishi presented the project at Impress AI Days.

  2. October 8, 2026: Tsuneishi outlined the project publicly.

Market Landscape

This initiative follows the industry pattern of shedding monolithic legacy systems in favor of modular, cloud-based architectures to improve operational agility. The project marks a departure from reliance on external tech suppliers toward internal control.

Operators managing systems older than a decade should evaluate whether their maintenance costs now exceed the expense of a platform migration. The move toward in-house development indicates a growing priority for control over proprietary data integration pathways.

The takeaway

Legacy software often creates a hidden tax on operations through increasing technical debt. Modernizing your tech stack via microservices can yield significant efficiency gains when teams are properly upskilled to manage the new architecture.

Further reading

For broader trends in operational technology, see the Manufacturing section.

Source note: This article includes information reported by Splash247.

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Do you trust artificial intelligence to accurately modernize complex, aging corporate software systems?