Machine learning algorithms are used to monitor the performance of warehouse equipment, such as conveyor belts, forklifts, and robotic systems. These algorithms analyze data to predict when equipment is likely to fail or require maintenance, allowing for proactive interventions. Predictive maintenance minimizes downtime, reduces repair costs, and extends the lifespan of critical warehouse machinery.