AI for Service
The AI for service, in its prototype form, supports digital after-sales even during product development: service processes such as maintenance and repairs are simulated virtually at an early stage, ensuring that all key workshop information – such as repair manuals, spare parts strategies and repair times – is available even before production begins.
Status quo: More variants, fewer prototypes for repair concepts
More and more product variants are being developed under considerable time pressure. At the same time, fewer and fewer physical prototypes are available for the development and validation of repair concepts. Workshop information is therefore increasingly being created entirely digitally and must be kept continuously up to date, given the vast amounts of data, ongoing changes and the large number of experts involved. Any change to the product can affect existing repair concepts and require them to be reviewed again. Manually tracking these changes is time-consuming and carries the risk of overlooking relevant adjustments.
Solution: Monitor and evaluate changes intelligently
An AI prototype then assesses whether and how these changes affect existing repair procedures. It recommends whether a service procedure needs to be reviewed and, if necessary, adjusted. This eliminates the need to manually review every single change, significantly reducing the workload for users in their day-to-day work.
