The Mercedes-Benz Group, one of the world’s most iconic automotive manufacturers, announced a strategic partnership with Celonis, a global leader in process intelligence, to accelerate its AI-driven digital transformation across more than 30 global production plants.
The collaboration, showcased at Celosphere 2025, demonstrates how process intelligence and enterprise AI are reshaping operations at one of the automotive industry’s most complex manufacturing networks.
The partnership addresses a fundamental challenge facing modern automotive manufacturing. Maintaining precision and speed across an ecosystem spanning millions of parts, suppliers, and interdependent processes.
By integrating Celonis’ Process Intelligence Platform with its own MO360 digital ecosystem, Mercedes-Benz has gained unprecedented visibility into every order, part, and production process. This helps them make faster decisions while improving operational efficiency.
Mercedes-Benz’s manufacturing footprint ranks among the world’s most sophisticated. The company manages billions of transactions annually across production facilities, supply chains, and logistics networks worldwide. Historically, this complexity created data silos that prevented unified visibility into operations.
Celonis’ Process Intelligence Platform addresses this challenge by connecting data from all major production and logistics systems into a unified view. Dr. Jörg Burzer, Member of the Board of Management at Mercedes-Benz responsible for Production, Quality, and Supply Chain Management, emphasized the transformative impact: “Full data transparency across our production network and the supply chain allows us to empower our teams to act with greater speed and precision. This enables Mercedes-Benz to anticipate change, respond quickly to market dynamics, and harness the power of AI.”
The integration has already yielded tangible results. Mercedes-Benz reports improved on-time delivery, accelerated decision cycles, and measurable efficiency gains across its global production network. These improvements reflect genuine operational transformation rather than incremental optimization.
Driving Real Impact
Mercedes-Benz has deployed Celonis across three critical operational domains, each delivering specific business outcomes:
- Order-to-Delivery: AI-powered copilots forecast delivery timelines, optimize production sequencing, and proactively identify factors that could cause delays. This capability allows Mercedes-Benz to provide customers with more accurate delivery promises and reduce fulfillment delays.
- Aftersales Service: Process intelligence identifies bottlenecks in service parts logistics, enabling faster response to customer service needs. By spotting inefficiencies before they cascade into customer dissatisfaction, Mercedes-Benz maintains its brand promise of reliability and responsive service.
- Quality Management: AI-driven anomaly detection pinpoints production deviations before they impact final product quality. This early-warning capability prevents costly recalls and maintains the premium quality standards essential to Mercedes-Benz’s brand positioning.
Across these applications, enterprise AI powered by process intelligence has become central to how Mercedes-Benz orchestrates production, adapts to market shifts, and sustains its reputation for excellence.
A key differentiator of the Mercedes-Benz partnership is the breadth of adoption. The company reports hundreds of active users across multiple functions, with adoption continuing to expand throughout the organization. This widespread utilization indicates genuine organizational change rather than isolated pilot projects.
Burzer noted that Celonis has become a key enabler of Mercedes-Benz’s broader digital transformation agenda, specifically helping the company scale data-driven decision-making across every function.
Celonis’ market leadership further validates the strategic value of Mercedes-Benz’s partnership. The company was recently ranked #3 on Fortune’s 2025 Future 50 list and #12 on Forbes Cloud 100 2025, marking its seventh consecutive year on the Cloud 100 list.
This recognition reflects Celonis’ position as a leader in enabling enterprise AI transformation. Fortune’s Future 50 list, published annually with the Boston Consulting Group, evaluates over 2,000 companies based on market potential, innovation, strategy, and investment in the future. Celonis’ debut at the #3 spots shows the company’s critical role in shaping how enterprises leverage process intelligence for competitive advantage.
Rather than treating process intelligence as a specialized tool for operations professionals, Mercedes-Benz has democratized access, enabling business users throughout the organization to leverage process data and AI-driven insights to improve their decision-making.
Process Intelligence as the Foundation
Bastian Nominacher, co-CEO and co-founder of Celonis, characterized the Mercedes-Benz partnership as proof of how process intelligence makes enterprise AI genuinely valuable: “With Celonis, they’ve created the optimal conditions for AI to drive real outcomes, from smarter decisions to faster delivery, turning visibility into action.”
This framing is significant. While many enterprise AI initiatives remain experimental or isolated to specific use cases, the Mercedes-Benz collaboration demonstrates how process intelligence provides the foundation that transforms raw visibility into actionable business improvement.
The partnership aligns with broader industry momentum. At Celosphere 2025, where 3,000+ business and technology leaders convened, process intelligence and AI emerged as central to enterprise digital transformation across sectors.
For automotive manufacturing specifically, where regulatory requirements, quality standards, and supply chain complexity create intense operational pressure, process intelligence provides both the visibility and the actionable intelligence that enterprises require.
Mercedes-Benz’s large-scale deployment of process intelligence across 30+ production plants carries competitive implications. As the automotive industry transitions toward electric vehicles, autonomous driving, and more distributed supply chains, operational efficiency becomes a key competitive lever.
BMW started working with Celonis back in 2016 and has spent years refining their operations, finding new efficiencies and automating processes across the company. Now Mercedes-Benz is jumping in with both feet.
With big names like these investing heavily in process intelligence, it’s clear that the race to optimize automotive manufacturing is only going to get more competitive from here.
