Users & Revenues Estimates: Platform for Open Data Based EV Service and Maintenance Ecosystem

What is it about?

This paper presents a novel maintenance and service supporting concept for electric car owners as customers. At the same time, the platform will support independent car service companies in providing their services. In data side, this particular concept is based on ideologies of open data and models of sharing economies. These models with open data policies would be used to utilize data in cloud service platforms, and the system would link the commercial partners together, using the platform and its services. This link will then connect to the customer needs and e.g. support of the generation of pre-emptive maintenance services and help users to get the best possible user experience with their purchase, as it offers lifelong value and good ownership experience for the end users. The service utilizes artificial intelligence enhanced data-analysis layers, which link everything together and raise the user experience of end users, the service provides and the 3rd party partners, completely in a new level. This paper considers analysis of the initial cost and revenue streams for the platform concept, by estimating the user base through the cumulative number of electric cars in use and the new manufacturers and service companies needed to upkeep the raising demand.

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Photo by Scott Graham on Unsplash

Photo by Scott Graham on Unsplash

Why is it important?

This paper presents a novel maintenance and service supporting concept for electric car owners as customers. At the same time, the platform will support independent car service companies in providing their services. In data side, this particular concept is based on ideologies of open data and models of sharing economies. These models with open data policies would be used to utilize data in cloud service platforms, and the system would link the commercial partners together, using the platform and its services. This link will then connect to the customer needs and e.g. support of the generation of pre-emptive maintenance services and help users to get the best possible user experience with their purchase, as it offers lifelong value and good ownership experience for the end users. The service utilizes artificial intelligence enhanced data-analysis layers, which link everything together and raise the user experience of end users, the service provides and the 3rd party partners, completely in a new level. This paper considers analysis of the initial cost and revenue streams for the platform concept, by estimating the user base through the cumulative number of electric cars in use and the new manufacturers and service companies needed to upkeep the raising demand.