Predictive Asset
Maintenance
Management
Powered by IoT

An Asset Maintenance Management System (AMMS) is an IoT-enabled platform that helps organizations monitor, maintain, and optimize their physical assets in real-time. It uses sensors and data analytics to predict maintenance needs, automate work orders, and prevent unexpected equipment failures. AMMS combines predictive maintenance, real-time monitoring, and automated workflows to reduce downtime and extend asset lifespan.

While CMMS (Computerized Maintenance Management System) focuses on scheduling and tracking maintenance tasks, AMMS goes further by integrating IoT sensors and predictive analytics. AMMS provides real-time asset monitoring, automatically detects anomalies, and triggers maintenance workflows before failures occur. It's a more proactive, data-driven approach compared to traditional CMMS reactive maintenance scheduling.

Yes, AssetFindr's AMMS seamlessly integrates with existing ERP systems, accounting software, HR platforms, and IoT devices. It connects to multiple data sources including sensors, GPS tracking, and raw data acquisition systems. The platform provides APIs and connectors to synchronize data across your entire technology ecosystem, ensuring a unified view of asset performance and maintenance operations.

AMMS is particularly valuable for asset-intensive industries such as mining, manufacturing, transportation and logistics, energy and utilities, construction, and facility management. Any organization with critical equipment, fleet vehicles, or infrastructure that requires regular maintenance can benefit from AMMS. Industries experiencing high downtime costs or safety risks gain the most significant ROI from implementing predictive maintenance solutions.