
IFS Cloud EAM is an AI-embedded asset management solution designed for industrial businesses with complex asset demands and ESG goals. It offers comprehensive asset lifecycle management, performance optimization, and maintenance planning capabilities. The software helps organizations reduce maintenance costs, decrease asset downtime, and improve operational efficiency. IFS Cloud EAM can be easily integrated with ERP and Service Management functionalities, providing a unified platform for managing assets, projects, and services. Key features include AI-powered asset monitoring, failure mode ...
Vendor
IFS
Company Website
IFS Cloud EAM is a comprehensive, AI-powered asset management solution designed to meet the complex needs of industrial businesses. It offers end-to-end asset lifecycle management, from planning and procurement to maintenance and decommissioning. The software helps organizations optimize asset performance, reduce maintenance costs, and improve operational efficiency while supporting sustainability goals.
Key Features
AI-Embedded Asset Management Leverages artificial intelligence to enhance asset monitoring and decision-making
- Predictive maintenance capabilities
- Optimized maintenance scheduling
Comprehensive Asset Lifecycle Management Supports the entire asset lifecycle from cradle to grave
- Asset planning and procurement
- Maintenance and performance optimization
- Decommissioning and renewal
Integration with ERP and Service Management Seamlessly combines with other IFS Cloud modules for a unified business platform
- Project and financial management integration
- Supply chain and field service capabilities
Benefits
Increased Operational Efficiency Improves asset performance and reduces downtime
- 20% increase in asset uptime
- 16% reduction in asset downtime
Cost Reduction Decreases maintenance expenses and optimizes resource allocation
- 14% decrease in maintenance costs
- Improved resource planning and utilization
Enhanced Decision Making Provides real-time insights for better asset management strategies
- Data-driven maintenance planning
- Improved asset reliability and performance