In the future, your car will predict the future
Imagine if your car--or its electric battery--could not only predict an issue, but begin to resolve it by booking itself in for a service, request a technician stop by your home or even drive itself to the garage or charging station.
Smart analytics capabilities put the vehicle driver in a position where they can choose the most convenient time for the predictive maintenance to be applied.
Pick the right timing, the right location and ensure the service technician is equipped with the right knowledge and material to fix the problem in the shortest possible time with guaranteed first time right completion.
This can also be woven into your fleet example. If you combine the predictive information from the asset with social data (the preferred grocery store is in a location where the service agent could do the fix better and faster) guide the user to the grocery store and make an appointment for the fix whilst the user does his/her groceries.
Sounds far-fetched? At GE we are already doing this on industrial devices from wind turbines to jet engines and even elevators.
Customer requirements for assured availability and the introduction and adoption of autonomous and electric vehicles mean that automotive OEMs have already started making this scenario a reality.
Applying the power of advanced predictive analytics to vehicles’ existing onboard diagnostics makes it possible for OEMs and other providers to connect connected vehicles directly to the spare parts suppliers and ratchet up repair and service provision up a notch.