Products & Services
Digital Transformation
Artificial Intelligence
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Native
Kawasaki Motors Europe relied on an outdated IBM Lotus Notes system that had reached the end of its lifecycle. The platform lacked the modern integration capabilities, scalability, and efficiency required in today’s increasingly complex and technology-driven product environment.
Product issues were managed in fragmented ways across different European branches, making collaboration with headquarters in Japan increasingly complex. Reporting processes were partly manual and time-consuming, while limited data visibility and traceability created blind spots in quality monitoring and decision-making.
At the same time, product knowledge and technical differentiation needed to be communicated clearly across markets. Information existed, but it was not always easily accessible or structured in a way that supported both internal stakeholders and customer-facing teams.
The legacy landscape was not only difficult to maintain, it also limited Kawasaki’s ability to collaborate efficiently and unlock the full value of its product data. What was needed was more than a technical replacement. Kawasaki required a future-proof, cloud-based foundation that could centralise product issue management, improve transparency across Europe and Japan, and make complex product information more accessible across the organisation.
The objective
A centralized platform for European collaboration
The objective was clear: develop a centralised, web-based PI Database that enables structured product issue and service report management across all European branches.
The platform needed to improve collaboration between back-office teams, national distributors, and factories in Japan, while ensuring secure role-based access and full traceability of product-related data. Beyond operational efficiency, the system had to create greater transparency, faster feedback loops, and a consistent way of working across markets.
At the same time, the solution had to be scalable and future-proof, capable of supporting increasing product complexity, growing data volumes, and evolving organisational needs across the European region.
Advanced Search
Provide advanced search and filtering capabilities for quick data access
Automated Reports
Automate reporting and exports to eliminate manual effort
Automated Translation
Making sure all information is automatically translated to 9 languages with AI
Secure Access
Ensure secure, role-based access control across all users
The approach
Agile Scrumban Methodology
The project was delivered using an Agile Scrumban methodology, combining the structure of Scrum with the flexibility of Kanban. This approach ensured continuous delivery while maintaining control over scope, quality, and timelines.
This collaborative approach with a dedicated Product Owner ensured flexibility while maintaining control over scope, quality, and timelines throughout the entire development process.
The result
Kawasaki Motors Europe now operates on a unified digital foundation that strengthens both operational control and frontline execution.
Product issues are managed transparently and consistently across European branches, with faster reporting cycles, clearer ownership, and improved collaboration with factories in Japan. Dependency on fragmented tools and manual coordination has been significantly reduced, while visibility and traceability across the full lifecycle have increased.
More importantly, product data is no longer locked inside systems. Information is now structured, centralised, and accessible in a way that makes it easier to surface insights for different stakeholders. Back-office teams gain reliable reporting and oversight, while customer-facing teams can access relevant knowledge instantly through applications such as the native Video App.
By creating a shared architectural backbone, Kawasaki has not only modernised its operations but also unlocked its product data for broader use across the organisation. The platform now serves as a scalable foundation for future digital initiatives, integrations, and AI-driven enhancements.
