AI Condition Based Maintenance (CBM) Software is a cutting-edge platform designed to optimize the maintenance and operational efficiency of industrial machinery. Unlike traditional time-based maintenance systems, which schedule maintenance at fixed intervals regardless of equipment condition, AI-driven CBM uses real-time data collected from sensors embedded in machinery to monitor performance continuously. This system employs advanced machine learning algorithms to predict failures before they occur, allowing operators to perform maintenance only when it is needed, based on the actual condition of the machine. By integrating artificial intelligence, the platform can analyze vast amounts of sensor data, identifying patterns and anomalies that are indicative of potential issues. This proactive approach minimizes downtime, extends the lifespan of equipment, and reduces overall maintenance costs. The AI system continuously learns from historical data, improving its predictive accuracy over time, and ensuring that maintenance efforts are precisely targeted. This results in a more efficient, cost-effective, and reliable maintenance strategy, which is particularly valuable in industries such as manufacturing, mining, and energy, where machinery downtime can have significant financial and operational consequences.