Real-time Analytics
BMW Group needed to plan and reconfigure large factories years before production starts, but disconnected CAD tools, manual coordination, and expensive change orders made it hard for planners to collaborate and validate layouts, logistics, and robotics safely at scale.
Reported impact
BMW projected 30 percent savings from optimized factory planning, reduced change orders and capital investments, improved cross-team collaboration, increased launch stability, and used the same simulation stack to bring quality-control workflows weeks ahead of schedule.
BMW built FactoryExplorer as an internal industrial-metaverse platform on NVIDIA Omniverse, OpenUSD, and the Omniverse Kit SDK so planners can work inside live digital twins of factories instead of static design files. CAD, building, logistics, and process data from tools such as Autodesk Revit, Bentley Microstation, ipolog, and ema are aggregated into structured OpenUSD projects, published into a centralized twin, and then explored through custom collision-detection, filtering, navigation, launcher, and measuring extensions. That same stack lets planners collaborate on layered factory states without destructive edits, identify robot placement issues before construction, and rehearse layout changes across plants covering more than a million square meters. BMW also extends the environment with Omniverse Replicator, Isaac Sim, and DGX systems to create synthetic defect data and train inspection models before production lines go live.
Factory geometry, equipment, logistics, and process data from BMW's design systems are converted into OpenUSD projects and published into FactoryExplorer on Omniverse. Planners collaborate on layered digital twins, run placement and collision checks, and then extend the same environment with simulation and synthetic-data workflows before physical factory changes are made.
BMW Group is redefining automotive factory planning and optimization in production with digital twins built with NVIDIA Omniverse and OpenUSD.
Projected 30% savings from optimized factory planning and highly efficient processes
The BMW team used OpenUSD and the Omniverse Kit SDK to develop FactoryExplorer, a digital twin platform that enables factory planners to collaborate in real time.
With NVIDIA Omniverse Replicator and Isaac Sim, the BMW team built a synthetic data pipeline that generates thousands of photorealistic training images with the click of a button.
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
Related
NVIDIA Sample Aug 11, 2025 Magna Magna needed to improve efficiency, safety and agility across its global manufacturing operations while also helping its autonomous delivery vehicle platform adapt to new cities and complex physical environments. City Delivery platform · NVIDIA Cosmos Reason · NVIDIA Omniverse simulation APIs and libraries NVIDIA Sample Oct 9, 2026 California Department of Transportation (Caltrans) Caltrans needed to inspect and monitor roughly 1,200 active transportation projects more frequently and safely, but manual site visits were slow, inconsistent, and risky for staff working around traffic, bridges, and… Remote operations up to 100 miles Esri ArcGIS · NVIDIA CUDA · NVIDIA Jetson Orin NVIDIA Sample Sep 30, 2026 EPRI EPRI needed to run advanced AI for sensitive utility documents and weather-planning workflows locally, because energy-sector research data could not leave controlled environments and shared compute delays limited how… 150 tokens/sec aggregate across 10 concurrent Power Chat users DGX Spark · Dell Pro Max with GB10 · NVIDIA CBottle 