Last Monday, our team presented three posters and two additional napkins to our customer from BMW and the other groups within the Mobility Practicum in order to validate, extend and finalize the current ideas.
Both of the outlined project ideas – in the following section – focus on the evaluation of data gathered from the newly developed BMW CarData API. Having data sets such as fuel and energy consumption of last trips, current mileage and others, Key Performance Indicators (KPIs) regarding the driving style and driving behaviour can be calculated. These KPIs can be used for different services and platform models:
1) Company car pricing through KPI management of driving behaviour
“Don’t be gentle with a rental.”
Problem statement: Monthly fees of company and rental cars rely on the average fuel and energy consumption within the company or rental fleet. Employees that show a careful driving behaviour are compelled to pay the average prices even though they would occupy lower rates due to their positive driving style.
Solution: Therefore, our first idea focuses on the evaluation of the driving behaviour of an individual driver within a defined company car fleet. This enables company car managers to oversee peaks and lows of KPIs from trips of a specific employee. Based on the gathered parameters, monthly rental fees can then be recalculated. Thus, a fair pricing model that recognises thoughtful and environmental-friendly driving is established.
By now, identified KPIs include the average fuel consumption of a combustion engine powered vehicles, the energy consumption of electric vehicles, the average speed and general risk level. During the event on Monday, additional KPIs regarding the strain of the battery, the carbon-dioxide emissions and recorded accidents have been elaborated.
Beyond that, journeys of company car fleets that do not have a one-to-one vehicle-to-driver allocation could automatically be recorded and cleared within our solution, whilst ensuring compliance with legal standards. Therefore, driver logbooks are unneeded due to an automatic journey recognition within the platform. This feature has already been implemented in most company car management platforms, which have to rely on data from external devices, “dongles”, that are attached to the cars ODB-interface. This intermediate step is omitted in our service.
Feasibility: From a business and financial point of view, the company car market comprises a great volume in number of vehicles and expenditures . Further, major trends such as electrification and environmental sustainability in general are reflected within most of the above stated KPIs.
2) Insurance comparison platform based on KPIs regarding the driving behaviour
Problem statement: Most vehicle insurance contracts refer to the age and number of accidents for pricing the insurance premiums. However, defaults of vehicle insurances – meaning the probability of an accident and the subsequent insurance payments – are mostly based on the experience, previous accidents and also the general driving style. According to a survey of the Gesamtverband der Deutschen Versicherungswirtschaft e.V. in 2016 , fast and aggressive driving are major causes of accidents. Therefore, insurance premiums should be adapted based on the assessed driving KPIs.
Solution: Similar to our first idea, the insurance comparison portal encompasses almost identical indicators (KPIs) like that of the company car pricing service. Here, private vehicle drivers can register their BMW ConnectedDrive account on our platform and authorize the service for continuously collecting data of their vehicle. Just like other platforms that target different industries such as fluege.de or check24.de, users are provided with best-price offers in their desired search area. Whereas fluege.de evinces cheapest flights for customers on a specific date, our service uses the vehicle data and calculated KPIs to display the cheapest insurance providers and contracts.
Feasibility: In Germany, most vehicles are still in private ownership . In addition, car owners can change their insurance on a yearly basis leading to a high number of potential customers. Moreover, insurance contracts can be processed and signed on our platform so that the user experiences a comfortable change of insurance.
In the next days, our team will assess both services in detail. Hence, one of the latter presented ideas will be demonstrated as a paper-based prototype.
 Expert interviews
 Gesamtverband der Deutschen Versicherungswirtschaft e.V (2016). https://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=4&ved=0ahUKEwigrvvZpbLXAhWIIewKHY2DAR0QFgg3
 Statista/KBA (2017). https://de.statista.com/statistik/daten/studie/483781/umfrage/pkw-bestand-in-privaten-haushalten-in-deutschland/