Turning Mobility Data Into Actionable Insights

The Motion-S mobility analytics platform transforms raw location data from smartphones, simple trackers, IoT platforms, and databases or car data into actionable insights – providing a deep understanding of individual mobility patterns. Predictive analytics in terms of risk, car health, and eco-efficiency allows fleet managers, insurers, OEMs, smart mobility operators, public authorities, and transportation providers, to optimize their offer and to improve their value propositions for their customers.

Our solution relies on a powerful data platform, dealing with data collection, data augmentation, and mobility profiling with a predictive approach. Our platform fetches our customer’s mobility data coming from any source and performs an augmentation process through contextualization, using the information on the road topology, environment, traffic, or weather conditions of the driver’s ride among others. Once data is augmented, we process the data with the help of our predictive algorithms that extract the most relevant features to explain risk exposure, eco-efficiency and car wear to create user profiles.