The Dropie company is implementing a project of an innovative solution that allows to estimate the optimal, dynamic price of rental services for vehicles intended for shared use, i.e. cars, city bikes or electric scooters. The developed solution includes, among others weather conditions or events in the city in order to propose changes in the price list so that, depending on the situation, the rental prices are always at a level that the user is willing to accept. The tool also allows you to forecast changes in demand and react to changes in real time, thus ensuring the owner of the devices a constantly competitive price. Deep Learning methods are used in the implementation of the project.