The AI-based solution from Bright Box helps to offer drivers from different categories a certain set of products and services - appropriate accessories, new car sales or an upcoming service visit - based on new analyses vehicle telemetry, social networks, and master data. One of the goals of the Bright Box team was to create a reliable model for forecasting the probability of car owners’ visits to dealerships for service. This information is very important for dealerships, as most car owners do their first scheduled service only and never return again.
The quality of provided services depends solely on the amount of collected data. Bright Box has been collecting data for over 5 years. Each connected car unit from Bright Box generates up to 8.7 million records (status records) - over 2.3 million car status entries on the average. As a result of this, The company has accumulated over 90 terabytes of connected car data from users from different countries.
Therefore, Bright Box has created Data Lake on the basis of Microsoft Azure, where terabytes of data gathered from cars are stored in a structured fashion. Upsell forecasts are based on the data from Telematics (mileage, GPS, speed, RPM), as well as from CRM, DMS or ERP systems (customer ID, date of the transaction, breakdowns by work/materials). It can bring so-called "insights" to light based on this data.
