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Experience Data & gribb
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gribb.tech and Experience Data join forces for safer and cleaner logistics traffic

gribb.tech and Experience Data combine innovative strength to make international logistics traffic safer and cleaner. With data, Ai and Machine Learning, gribb.tech and Experience Data have developed a new tool to help deliverers, couriers and (taxi) drivers drive safer and more efficiently. The software tool provides insights into driving behavior and gives the drivers tips via an app to improve their driving behavior. The tool is already used by DHL Express, Zego and numerous large business fleets.

Connected vehicles

Han Arts, CCO of gribb: “Most modern business vehicles are connected to the cloud in which various data sources are stored. gribb developed a software tool that enriches vehicle data with external sources.” This includes weather, road type, maximum speed on site, dangerous intersection, night/day, etc. “With this data, we have created models that enable us to place driving behavior, such as a safe speed, safely slowdown in traffic, driving through bends without extra wear on tires, efficient driving and safe acceleration, in the right context. This is complex because these values differ per vehicle type, per road type and per country. Our clients want one solution for the whole of Europe and a solution for multiple drivers per vehicle.”

Improving driving behavior with Artificial intelligence

Together with Marco de Jong, CEO of Experience Data, we found a way to place the individual data types in an understandable context, allowing us to interpret them automatically and intelligently. The aim is to help drivers improve their driving behavior. Interaction and cooperation with the driver is essential to achieve this, because the reason why a driver makes certain choices is not (yet) stated anywhere in the data. The model askes for feedback which the solution continuously smarter and helps the driver better every time. It is never perfect, but it gets better every day, just like the driving behavior of the drivers. De Jong: ‘To ensure the driver will adopt the solution, it’s of the utmost importance that the driver recognizes himself in the driving behavior that we provide feedback on and is allowed to give his opinion about this score. We use artificial intelligence to identify areas where drivers can improve their driving behavior. So if you as a driver are offered concrete actions that really help you improve your driving behavior, you’ll really feel supported.’

Micro-learning and gamification

Via the gribb app, drivers are offered micro-learnings to improve on specific subjects in combination with gamification. A fleet manager sees daily excess reports that allow mentor drivers to help drivers improve before incidents occur

Privacy

Han Arts: “A frequently asked question is: what about privacy? Of course this varies from country to country. The data we use is in fact already available data from the existing telematics. The driver himself is the only one who sees in the app how he/she scores compared to colleagues. Fleet managers only see excess reports that could result in accidents without action. So management by exception. The approach does not exclude anyone. The data is used specifically to make drivers even better. Ultimately, no one objects to more road safety.”

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