Data silos at 120 sites blocked scaling. A unified cloud now runs 1,200+ AI apps, automating quality checks and cutting energy costs 12%.
Europe's largest car manufacturer employs 650,000 people across 120 factory sites to produce vehicles for brands like Audi, Porsche, and Lamborghini.
Managing logistics and manufacturing across this fragmented global network created data silos that blocked widespread AI adoption. Without a unified...
“Our ambition is to become the global automotive tech driver. To achieve this, we are consistently digitalizing and connecting all areas of our company. Our goal is to bring products and technologies to our customers even faster. The Digital Production Platform plays a key role in this: it is the digital nervous system of our factories – and the key to a future of AI-powered production.”
Global manufacturer of passenger cars, commercial vehicles, and mobility services.
Cloud computing platform and on-demand infrastructure services.
Related implementations across industries and use cases
Programming robots took hundreds of hours. Using digital twins, engineers now train precise tasks in half a day.
Manual reviews and language gaps dragged repairs to a week. AI now diagnoses faults in 100 languages, halving the cycle.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Logistics were volatile and safety checks manual. AI simulations now route ships, and computer vision alerts operators instantly.
Captioning 10,000 images consumed 333 hours of human effort. AI now completes the workflow in under 15 hours.
Static forms ignored cultural nuance. Now, AI agents speak local dialects to capture leads and automate feedback calls.
Fleet repair estimates took up to 48 hours. Autonomous agents now process them in 30 minutes, absorbing a 10x volume surge.
Manual handoffs slowed operations. AI now automates routing and validation, boosting case closure rates by over 50%.
Data silos blocked real-world simulation. Now, teams validate site physics and safety risks on a unified digital twin.
Data silos at 120 sites blocked scaling. A unified cloud now runs 1,200+ AI apps, automating quality checks and cutting energy costs 12%.
Europe's largest car manufacturer employs 650,000 people across 120 factory sites to produce vehicles for brands like Audi, Porsche, and Lamborghini.
Managing logistics and manufacturing across this fragmented global network created data silos that blocked widespread AI adoption. Without a unified...
“Our ambition is to become the global automotive tech driver. To achieve this, we are consistently digitalizing and connecting all areas of our company. Our goal is to bring products and technologies to our customers even faster. The Digital Production Platform plays a key role in this: it is the digital nervous system of our factories – and the key to a future of AI-powered production.”
Global manufacturer of passenger cars, commercial vehicles, and mobility services.
Cloud computing platform and on-demand infrastructure services.
Related implementations across industries and use cases
Programming robots took hundreds of hours. Using digital twins, engineers now train precise tasks in half a day.
Manual reviews and language gaps dragged repairs to a week. AI now diagnoses faults in 100 languages, halving the cycle.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Logistics were volatile and safety checks manual. AI simulations now route ships, and computer vision alerts operators instantly.
Captioning 10,000 images consumed 333 hours of human effort. AI now completes the workflow in under 15 hours.
Static forms ignored cultural nuance. Now, AI agents speak local dialects to capture leads and automate feedback calls.
Fleet repair estimates took up to 48 hours. Autonomous agents now process them in 30 minutes, absorbing a 10x volume surge.
Manual handoffs slowed operations. AI now automates routing and validation, boosting case closure rates by over 50%.
Data silos blocked real-world simulation. Now, teams validate site physics and safety risks on a unified digital twin.