Process automation in a transportation company

This thesis deals with the analysis and documentation of existing business processes in a small transportation company to identify and automate key administrative activities using Robotic Process Automation (RPA) technology. The main objective was to use RPA to streamline operations, reduce operational costs, and eliminate time and the human error factor. The methodology used consists of five phases that are adapted to the specifics of professional work focused on process automation in a transportation company. The thesis proposes a solution using the UiPath software and its Clipboard AI module, which allows to manipulate data efficiently. Processes such as the sending of service schedules and the creation of work contracts were automated, resulting in a significant reduction in time. Particular emphasis is placed on assessing the benefits and risks from a management perspective. The paper assesses the social and technical challenges associated with the implementation of RPA, including staff resistance to change and the need for training. The results show that even small companies can effectively use RPA to improve their competitiveness and operational excellence. The benefit-risk assessment provides a new perspective on the potential use of RPA in the small transport company sector and provides practical guidance on how to integrate RPA into company processes, thereby addressing the challenges of today’s dynamic environment.