The implementation uses an artificial neural network that can predict for example parking times and the amount of energy required based on historical data from the electric vehicle. Based on this, the DLM can optimize which cars to load and when, and thus make sure that all the cars are loaded by the time of their departure. Additionally, the system is easier for customers, who don’t have to enter data to the system anymore.