
Understanding pattern profiling in driver risk management
AI pattern profiling in driver risk management works in a similar way to facial recognition, but instead of comparing data to faces, it compares it to a database of known vehicle trips.
The gamified loyalty program pilot for KINTO, Toyota’s car subscription services, is based on Greater Than’s AI technology, risk insights, and broad experience of mobility solution development. With the direct connection of the app to the car, KINTO users get seamless access to new gamified, fun scoring, and feedback functions as part of the rewarding system in the app. The robust loyalty program is based on rewards and bonuses when driving smart.
PRESS RELEASE - KINTO launches world leading P2P car-sharing service
AI pattern profiling in driver risk management works in a similar way to facial recognition, but instead of comparing data to faces, it compares it to a database of known vehicle trips.
For businesses, the sustainability push is driven largely by the United Nations’ Sustainable Development Goals, along with the growing regulations and requirements around sustainability and ESG reporting.
Pattern AI in motor insurance is facilitating the prediction of not only crash probability, but also crash type and associated cost, enabling accurate loss forecasting.