Use case

USE CASE

Automatic preconditioning / pre-heat / cool down of the car based on detected leave home / work / POI departure activity patterns.
Automatic detection of the favorite gas station locations / brands as well as favorite supermarket brands and shopping destinations.
Heading prediction based on learned routes.
Automatic traffic analysis for routes towards the predicted heading destination. This is done automatically, without having to set a specific route in the navigation system.
Smart departure prediction for a POI based on predicted destination, regular routes towards that POI and live traffic conditions
Predictive charging in relation to Calendar events.

Stores all the vehicle's settings inside the smartphone and maps settings between different car models (seat settings of an VW ID.3 mapped over the seats of a VW ID.4 and viceversa).
Stores all the automatically detected user preferences related to one vehicle and automatically applies them when boarding another vehicle if available (i.e. if the eco-mode set on one vehicle, this will be memorized and it will be set to the next boarded vehicle).
Learns the fastest / most fuel efficient / most cost effective routes of high scoring drivers and use them as routing suggestions for other drivers.
Performs driver efficiency / driving style scoring and monitoring.
Geofencing with geofence violation logging and alerting.

Automatic weighting of traveled routes and prioritizing them in future route planning.
Automatic detection of favorite POIs (Gas station, Supermarket, Grocery store, etc.)
Automatic learning of general road preferences for better future route planning.
Finding parking near a predicted destination and booking the spot. Canceling the booking if the destination changes on-the-fly.
Automatic Home & Work positions detection.

Full vehicle functionality control through voice using truly natural language.
Mobile office functionalities (SMS, Voice calls, Calendar, E-Mail, WhatsApp, etc.)
Vehicle condition monitoring and automatic search, suggestions and booking of servicing points based of existing calendar entries on the user's smartphone.
Location-based reminders. Example: "remind me to buy spaghetti when passing by a supermarket".
Hybrid offline operation, connecting to the Internet in non-critical moments only, and just for pulling traffic, weather, parking info, etc. using very low-bandwidth requests.

Create in-vehicle If-This-Then-That adaptive action flows that can be self-taught based on detected usage patterns.