Data-Driven Intelligence for the automotive industry

Intelligent use of all data from the entire product life cycle of vehicle components

Advantages at a glance

Simple data integration

Transparency across the entire product life cycle

Effective data-based decision making

Solve complex problems

Optimal scaling effect

Rapid implementation of new use cases

The Data-Driven Intelligence framework

Your ticket to data-driven automotive applications

Whether individual or commercial transport, vehicles have become complex data factories. This treasure of value-added information from the entire life cycle can be leveraged with the right approach – and used to generate better products, shorter development times, and additional data-driven services.

The Bosch Semantic Stack provides the prerequisites. Data-Driven Intelligence (DDI) comprises solutions developed specially for the mobility sector, based on Bosch’s domain expertise in automotive and digitalization. The DDI framework combines this experience with the power of knowledge graphs and digital twins – enabling scalable, data-driven and product-centric approaches to the current challenges of the industry.

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Three approaches for your economic success

Early Warning – immediate notification of malfunctions

Benefits at a glance

Cost savings thanks to rapid response
Increased customer satisfaction through reduced downtime
Reduction of quality costs (or claim costs)

Early Warning – immediate notification of malfunctions

Vehicle failures cost time and money, especially if the defective component or the underlying fault are not immediately known. Early Warning provides a remedy. The focus of this approach is the (combined and connected) use of data from intelligent control units, sensors, and other sources. Both sudden events and long-term trends in vehicle components are transmitted via data pipeline from the vehicle to the service provider. Thanks to the early warning messages, faults can be quickly identified and rectified – and at the same time new insights can be derived for updates or follow-up products.

Benefits at a glance

Cost savings thanks to rapid response
Increased customer satisfaction through reduced downtime
Reduction of quality costs (or claim costs)

Warranty Indication – efficient, data-based warranty decisions

Benefits at a glance

Faster decisions on warranty issues
No physical handling of parts
Transfer of findings into knowledge database

Warranty Indication – efficient, data-based warranty decisions

Fast and efficient warranty processing is essential for high customer satisfaction. Warranty Indication is an important building block for manufacturers and OEMs to both improve the service for their customer base and to save costs. Decisions on warranty claims are no longer made in the workshop, but digitally via the evaluation of faults that have already occurred and been assessed, as well as other factors such as driving behavior. Your customers benefit from quick decision-making – and will thank you with greater loyalty.

Benefits at a glance

Faster decisions on warranty issues
No physical handling of parts
Transfer of findings into knowledge database

Remote State of Health – establish predictive maintenance

Advantages at a glance

Effective vehicle utilization through optimized vehicle uptime
Higher satisfaction of end customers
Cost savings by preventing unnecessary parts replacements

Remote State of Health – establish predictive maintenance

Any unscheduled downtime or sudden failure can trigger a chain reaction that costs time and money. That's why effective fleet management always requires full visibility of vehicle conditions. Remote State of Health sets the course for holistic fleet monitoring: in conjunction with other data sources beyond the vehicle, car rental companies or logistics service providers can evaluate and predict both the degree of utilization and the performance of components and vehicles. Maintenance or parts replacement can be intelligently planned with minimal downtime.