KPI based company car pricing service & insurance comparison portal (Team 2 – Be Most Wanted)

posted in: Practical Course | 1

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 [1]. 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 [2], 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 or, users are provided with best-price offers in their desired search area. Whereas 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 [3]. 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.



[1] Expert interviews

[2] Gesamtverband der Deutschen Versicherungswirtschaft e.V (2016).

[3] Statista/KBA (2017).

One Response

  1. Summary

    The Team Be Most Wanted provides two similar ideas and solutions that allows car fleet managers or insurance companies can use the BMW CarData to measure drivers’ driving behavior. Their idea is that some KPI parameters will be derived from the data that are provided by the car itself. Then, they will be used to produce information about the drivers and the managers and insurance companies will be able to use this information. In other words, the inference from the data will be used to make bad drivers compelled to pay more or impose them some sanctions and pay higher insurance fees. On the other hand, good drivers will get some benefits as a result of their good attitudes. With this idea, company fleets and insurance companies can gain profits and encourage positive driving style. Therefore, the team wants to build an application to make this idea works.

    Business Potential

    Rental fleet and car insurance markets are very big markets, so providing some useful solutions in these markets can be profitable businesses. In our opinion, encouraging good driving behaviors and style is critical and important. The idea can be useful for big companies which has a huge number of employees and fleets because they can gain profit more. Therefore, big companies will be interested in the idea. In addition, it is a very important feature of the idea that the data will be taken from cars directly. Also, insurance companies will have interests in the application. If they can measure driving behavior in terms of some numerical parameters, this information will have a big impact on payment calculations.


    The implementation of the data evaluation and inference seems feasible because we get many important data from BMW cars. After we get data, the information of the driving behavior can be found by calculations or directly. Also, companies will be willing to use this application because of the chance that they earn money via the application.

    4 existing solutions

    GPS Leaders: This app helps the managers to control and track their cars in fleets. It uses Verizon 4G LTE technology. Its features Accident Tracking, Driver Management, Fuel Management, Routing and Vehicle Tracking, etc.
    Teackmatic is another application to manage the fleets. It is cloud base application and also provides work order optimization as well. This solution puts business and fleet owners cost reduction in all areas of business and vehicle management. It decreases costs and improves driver performances. Its features are Driver Management, Maintenance Scheduling, Parts Management, Fuel Management and Work Order Management, etc.
    Wialon: Wialon platform comes in SaaS and server-based versions, supports over 1000 device models of various GPS hardware trackers, includes a cartographic server, has an open API for integration with existing back-office systems, allows for a custom white labeling of the interface, and offers such advanced functionality as driver behavior monitoring and powerful report building tools. Wialon platform is used by more than 900 solution providers and enables to track over 850 000 assets combined. Its features are Accident Tracking, Driver Management, Fuel Management, Routing, Mileage Tracking, Maintenance Scheduling, and Parts Management, etc.
    Shadow Tracker: GPS based tracking technology. It can be used to manage the fleet and track the cars. Its features are Driver Management, Fuel Management, Mileage Tracking, Maintenance Scheduling, and Vehicle Information, etc.

    Possible enhancements

    The idea itself is useful for managing and controlling fleets. However, to make bad drivers compelled to pay more or impose them some sanctions and pay higher insurance fees can cause some bigger problems, such as motivation and loyalty loss. Psychological aspects must be examined and punishment method might be harmful to companies and employees as well. Awarding and promoting can be aims of the application. Including feedback mechanism by the application can be useful for drivers to improve their driving styles rather than getting feedback from the managers.

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