Solution Brief - MSAI Connect - Thermal Imaging Platform for Critical Asset Monitoring (ft. Global Distribution Warehouse case study)
This case study shows how a global online retailer used MultiSensor AI to continuously monitor high-speed conveyor and gapper bed systems - catching belt tension and overheating issues early, before they caused downtime. With fixed thermal monitoring and real-time alerts, the team reduced unplanned downtime by 30%, increased throughput more than 11×, cut maintenance costs by 40%, and achieved up to a 20× ROI. A clear example of how condition-based monitoring turns early signals into measurable uptime, safety, and operational gains.
Book a working session with one of our condition-based monitoring experts, and we’ll review your assets, assess your maintenance maturity, and show how multi-sensor monitoring catches issues hours, days, or weeks earlier than manual rounds - giving you a clear path to fast, measurable ROI.