Enhancing Production Visibility Across System
Using the Celonis Process Intelligence Platform, Mercedes-Benz has achieved measurable improvements in on-time delivery and decision-making speed across its vast production network. The technology connects data from multiple production and logistics systems, enhancing the company’s MO360 digital manufacturing platform and providing real-time visibility into every order, part, and process.
Optimizing Key Business Areas with AI Copilot
Mercedes-Benz applies Process Intelligence across several key business areas:
- Order-to-Delivery: AI copilots forecast delivery timelines, optimise sequencing, and minimise delays.
- Aftersales: Process insights identify bottlenecks in service parts logistics, ensuring faster customer service.
- Quality Management: AI-driven anomaly detection flags deviations before they impact production quality.
Driving Agility and Precision Across the Supply Chain
Dr. Jörg Burzer, Member of the Board of Management of Mercedes-Benz Group AG, responsible for Production, Quality, and Supply Chain Management, said the partnership is helping the company act with greater agility and precision.
“Full data transparency across our production network and the supply chain allows us to empower our teams to act with greater speed and precision,” he said. “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 organisation, Celonis has become a key enabler of our digital transformation, helping us scale data-driven decision-making across every function.”
Real Results with Enterprise AI and Process Optimisation
Celonis co-CEO and co-founder Bastian Nominacher said Mercedes-Benz exemplifies how Process Intelligence and enterprise AI can drive tangible results.
“Mercedes-Benz is demonstrating how Process Intelligence makes enterprise AI work,” he said. “With Celonis, they’ve created the optimal conditions for AI to drive real outcomes — from smarter decisions to faster delivery — turning visibility into action.”
Shaping the Future of Automotive Efficiency and Sustainability
The collaboration underscores how Process Intelligence and enterprise AI are reshaping manufacturing efficiency and sustainability across one of the world’s most complex automotive networks.
