Case Study
An AI-Powered Predictive Maintenance System Transforms Equipment Reliability for a Global Terminal Operator
An AI-Powered Predictive Maintenance System Transforms Equipment Reliability for a Global Terminal Operator
One of the world's largest terminal operators manages high-volume cargo across continents, relying on Ship-to-Shore cranes, Rubber Tyred Gantry cranes, Automated Guided Vehicles, and heavy machinery for flawless 24/7 performance. InTech's AI-powered Predictive Maintenance System revolutionized their lifecycle, slashing unexpected downtime by 85%, enhancing equipment availability, and providing real-time visibility—shifting from reactive repairs to data-driven predictions for unprecedented control, accuracy, and long-term stability in mission-critical operations.
