Optimized processes -
managing complexity

Today's automotive manufacturers face a multitude of challenges that require an efficient logistics and IT infrastructure.

Our software, based on mathematical algorithms, operations research, and artificial intelligence, provides tailored solutions to these pressing problems.

So you can stay one step ahead of your competitors!

Challenges

• Complexity of Global Production
  With global supply chains and global production for multiple markets, the automotive industry faces increasingly complex logistics challenges involving multiple players. On-time delivery of customized vehicles requires precise supply chain planning and management.
• Complex Supply Chain Management 
  Sourcing parts and components from different parts of the world requires precise planning and coordination.
• Just-in-time production 
  To produce efficiently, automakers must minimize inventory and still ensure that all the parts they need are available on time.
• Capacity bottlenecks
  Wherever you are in the world, there are shortages of space, transportation, and drivers that affect standard delivery processes. Identifying bottlenecks early and simulating alternative scenarios has never been more important.
• Electric vehicles and autonomous driving
  The shift to electric vehicles and the development of autonomous vehicles require complex modeling and simulation.
• Resource Efficiency
  The automotive industry is under pressure to produce more sustainably and conserve resources.