"At Celosphere 2025, it becomes clear that efforts on Process Intelligence (PI) are beginning to pay off in practice. Mercedes-Benz, Vinmar, and Uniper are now demonstrating how the combination of AI and process context is delivering tangible results in production and logistics. Mercedes-Benz, for example, uses Celonis to optimize production in more than 30 factories worldwide. The car manufacturer has to deal with a complex network of millions of parts, suppliers, and processes."
"The implementation is delivering concrete results. AI co-pilots predict delivery times and optimize planning. In after-sales, Process Intelligence identifies bottlenecks in parts logistics. For quality management, AI detects deviations before they affect production quality. "Full data transparency across our production network and the supply chain allows us to empower our teams to act with greater speed and precision," says Dr. Jörg Burzer, Member of the Board of Management of Mercedes-Benz Group AG."
"Vinmar fully automates Order-to-Cash Plastics and chemicals distributor Vinmar transformed its Order-to-Cash process from a $3 billion (€2.6 billion) business unit into a fully automated operation. Celonis helped the company build intelligent workflows that process orders without human intervention. The approach shows that Process Intelligence not only provides insight but also enables direct action. Processes now run faster and make fewer errors."
Process Intelligence combined with AI is producing measurable operational gains in production, logistics, and order processing by linking process context to intelligent automation. Celonis integrates data from key production and logistics systems into Mercedes-Benz’s MO360 platform across more than thirty factories, enabling AI co-pilots to predict delivery times, optimize planning, identify parts-logistics bottlenecks, and detect quality deviations before they affect production. Vinmar converted a $3 billion Order-to-Cash unit into a fully automated operation with intelligent workflows that run without human intervention. Process Intelligence enables direct action, faster processes, and fewer errors. Many organizations miss AI ROI by treating Enterprise AI as mere technology rather than a discipline that requires process context and deployment strategy.
Read at Techzine Global
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