A predictive maintenance system works in manufacturing by using data analytics and machine learning algorithms to anticipate equipment failures before they occur. By continuously monitoring the condition of machinery using sensors that collect performance data, these systems can identify patterns indicating potential issues. This proactive approach allows organizations to schedule maintenance activities at optimal times, thereby minimizing unexpected downtime and extending the lifespan of machines. Predictive maintenance enhances operational efficiency and reduces maintenance costs, leading to significant savings for manufacturers.