• Integration of demand-driven planning with material requirements planning (MRP)
• Machine learning for demand management and forecasting
• Advanced data models for electric vehicles, charging equipment, and renting assets
• Embedded machine learning and conversational AI bots within service and support processes 
  

• Intelligent product design collaboration and embedded software in bill-of-material processes
• Predictive MRP with interactive capabilities to forecast capacity and component demand
• Intelligent selling scenarios with AI and machine learning, and further experience management marketing integration 
• Application of machine learning and data science to moving asset data, such as routes and locations
  

• Enhance shop floor visualisation and use machine learning in health and safety management
• Enable an intelligent, connected business using technology based on the Internet of Things
• Provide an intelligent, agile transportation network that supports various mobility options 
• Offer AI-based problem-solving, virtual agents for support, and predictive services

See how having a digital enterprise at the core of its business enables Bosch to offer connected services to customers worldwide.

Hear how Nissan is becoming an intelligent enterprise to improve processes and create innovative products for its customers. 

Explore how NEVS is driving global, standardised, and integrated manufacturing of electric vehicles in plants in Sweden and China.