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Mercedes-Benz accelerates AI-Driven Transformation with Celonis

4 novembre 2025Par LA REDACTION DE GS MAG

Celonis and Mercedes-Benz Group AG, at Celosphere 2025 showcased the success of their strategic collaboration. Using the Celonis Process Intelligence Platform, the automaker has already achieved transformative results, including improved on-time delivery, and accelerated decision making.

Mercedes-Benz is at the forefront of addressing an ever-growing challenge: maintaining precision and speed across one of the most complex manufacturing networks in the world, spanning millions of parts, suppliers, and processes. The Celonis Process Intelligence Platform helps the company connect data from all their major production and logistics systems - enhancing the Mercedes-Benz MO360 platform, giving them visibility across every order, part, and process.

Mercedes-Benz uses Celonis across the company’s critical operations:
● Order-to-Delivery: AI copilots forecast delivery timelines, optimize sequencing, and reduce delays.
● Aftersales: Process Intelligence identifies bottlenecks in service parts logistics, ensuring faster response to customer needs.
● Quality Management: AI-driven anomaly detection pinpoints deviations before they affect production quality.

Enterprise AI, powered by Process Intelligence, has become central to how Mercedes-Benz orchestrates production, adapts to market shifts, and sustains its brand promise of quality and excellence.

“Full data transparency across our production network and the supply chain allows us to empower our teams to act with greater speed and precision,” said Dr. Jörg Burzer, Member of the Board of Management of Mercedes-Benz Group AG, responsible for Production, Quality, and Supply Chain Management. “This enables Mercedes-Benz to anticipate change, respond quickly to market dynamics, and harness the power of AI. With hundreds of active users and adoption growing across the organization, Celonis has become a key enabler of our digital transformation, helping us scale data-driven decision-making across every function.”

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