Digital transformation of bicycle rental maintenance process

The payback of urban cycling has received considerable attention in many countries. One of the reasons for the loss of bicycle rental companies is the cost of maintaining rental bicycle transport caused by vandalism and poor bicycle handling The article describes a fuzzy inference system, which, based on information obtained from an accelerometer installed on a bicycle, allows making a forecast about its technical condition. Each bike is assigned a rating, in accordance with bicycle rental maintenance process should be carried out. This rating is also used when cyclist choose a bicycle at the rental station. At the same time, a bicycle with an unsatisfactory technical condition is not issued to a cyclist. A conceptual model of digital transformation of a company providing bicycle rental services is presented.