Fujitsu, one of the world’s oldest technology companies, has been undergoing a multi-year transformation to reposition itself from a hardware-focused organization to a provider of world-class IT and digital transformation services. The most important aspect to this shift is FUJITRA (Fujitsu Transformation), a company-wide initiative launched five years ago to streamline systems, unify processes, and promote data-driven management under the vision of “One Fujitsu.”
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As global uncertainty increased and supply chains became more complex, Fujitsu identified the need for accurate, real-time data and technologies such as AI to support faster, more informed decision-making across its operations.
Challenges Faced by Fujitsu
Fujitsu’s operations span thousands of products, materials, and systems. In inventory and supply chain management alone, the company manages more than 25,000 product types and 2.5 million items, with data distributed across 11 systems. This complexity made it difficult to maintain optimal safety stock levels, control emergency shipments, and ensure transparency across the supply chain.
Emergency shipping costs were particularly high, exceeding USD 10 million annually, as materials were frequently shipped urgently even when on-site engineers were not scheduled to arrive immediately. In addition, Fujitsu needed a foundation that would allow AI to be deployed effectively, one that provided business context, process visibility, and trust in underlying data.
Solution
Fujitsu implemented the Celonis Process Intelligence Platform as part of its FUJITRA and One Fujitsu initiatives. Initially deployed in Japan as a transparency tool within the One Support motion, Celonis combined process intelligence and AI to create a living digital twin of Fujitsu’s operations.
For FSAS Technologies, a Fujitsu subsidiary, the Celonis Platform connected systems, teams, and processes across the supply chain. It provided full transparency into inventory levels along with AI-enhanced recommendations on when to purchase, re-allocate, or refrain from buying materials.
Celonis integrated data from 11 disparate systems within one month, centralizing information such as lead times, procurement load size, historical consumption patterns, and real-time inventory levels across factories.
Results
Following the implementation of Celonis Process Intelligence, FSAS Technologies achieved measurable improvements in inventory management:
- 20% reduction in excess and safety stock
- 50% reduction in inventory orders within the first six months
- Multi-million-dollar cost savings
- Significant productivity gains
- Internal recognition for AI innovation
Celonis also helped identify inefficiencies in emergency shipping. Analysis revealed that in over 30% of cases, emergency shipments arrived days before engineers reached the site. Addressing this mismatch led to a 15% reduction in emergency shipping costs. Beyond numerical improvements, teams became more aware of process inefficiencies and began proactively addressing issues using data-driven insights.
Expansion Across the Enterprise
After early success in Japan, Fujitsu expanded the use of Celonis globally. In Europe, the Finance function realized bottom-line value in Accounts Payable and Accounts Receivable, replacing legacy tools with Celonis applications such as the Collections App, Duplicate Invoice Checker, Open Credit Memos App, and Payment Terms Checker.
The scope later widened to include IT Service Management and Order Management, despite initial resistance from long-tenured stakeholders. Over time, trust in data enabled broader adoption across the organization.
Executive Perspective
“With Celonis, we’ve been able to cut costs by giving our teams the data and context needed to make faster, smarter decisions,” said Kazushi Koga, Corporate Executive Officer, SEVP, Head of Platform at Fujitsu. “We’re now scaling AI across the enterprise fueled by transformative technologies like Celonis. This is not only transforming how we run Fujitsu, but also how we support our customers in reaching unprecedented levels of efficiency.”
From Celonis’ perspective, grounding AI in process intelligence was critical to success.
“Many enterprises struggle with AI, because models and agents alone can’t see how the business runs,” said Bastian Nominacher, co-CEO and co-founder of Celonis. “By grounding AI in process intelligence, Fujitsu can automatically trigger the right actions to continuously improve how its business runs.”
Outcome
By using Celonis Process Intelligence as a foundation, Fujitsu improved inventory control, reduced costs, and built the data and process readiness required to scale AI across the enterprise. The initiative not only optimized internal operations but also strengthened Fujitsu’s ability, as a trusted Celonis partner, to help its global IT service customers accelerate their own process-driven and AI-enabled transformations.
