Schaeffler Group
Factory simulation
Programming robots took hundreds of hours. Using digital twins, engineers now train precise tasks in half a day.
- Robot task development time cut from hundreds of hours to 0.5 days
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.
Volkswagen Group's Smart manufacturing is part of this use case:
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.
Assessing crash damage bottlenecked repairs for 30 minutes. Now, AI drafts parts lists in 5 minutes for human review, halving repair time.
Captioning 10,000 images consumed 333 hours of human effort. AI now completes the workflow in under 15 hours.
Manual reviews and language gaps dragged repairs to a week. AI now diagnoses faults in 100 languages, halving the cycle.
Static forms ignored cultural nuance. Now, AI agents speak local dialects to capture leads and automate feedback calls.
Training models for 300+ invoice formats bottlenecked operations. Now, generative AI extracts data instantly; staff review exceptions.
Manual underwriting and billing created operational bottlenecks. AI now automates submissions and policy checks, freeing brokers for advisory work.
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.
Volkswagen Group's Smart manufacturing is part of this use case:
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.
Assessing crash damage bottlenecked repairs for 30 minutes. Now, AI drafts parts lists in 5 minutes for human review, halving repair time.
Captioning 10,000 images consumed 333 hours of human effort. AI now completes the workflow in under 15 hours.
Manual reviews and language gaps dragged repairs to a week. AI now diagnoses faults in 100 languages, halving the cycle.
Static forms ignored cultural nuance. Now, AI agents speak local dialects to capture leads and automate feedback calls.
Training models for 300+ invoice formats bottlenecked operations. Now, generative AI extracts data instantly; staff review exceptions.
Manual underwriting and billing created operational bottlenecks. AI now automates submissions and policy checks, freeing brokers for advisory work.