Predictive maintenance is a maintenance strategy that utilizes machine learning algorithms to analyze data from sensors, equipment logs, and other sources to predict when a machine is likely to fail. In this case study, we uncover how Sigma Technology Insight Solutions supported the Swedish vehicle manufacturer and contributed to the development of the ML model to understand and predict the lifetime of brake pads that are used in their trucks.