Traditionally tracking the health of an asset was a manual, calendar-based process – it was inefficient and resulted in unnecessary truck rolls. Remote visibility and control enable condition based maintenance schedules and reduce the cost of maintenance by 20%.
We use sensor and events data from field equipment to identify underperforming assets, empower service teams with condition-based maintenance schedules, reduce the cost of maintenance and enable data-driven aftermarket services.
Our intuitive modeling and management capabilities allow you to analyze and process time series data generated by industrial equipment to reduce downtime and improve efficiency.
ENHANCE OPERATIONAL EFFICIENCY
Analyze conditions of failure to proactively enable service technicians and improve Overall Equipment Effectiveness
IMPROVE RELIABILITY & PERFORMANCE
Identify failure of an asset and predict machine downtime with longer lead time to improve reliability and performance
OPTIMIZE CAPACITY & UTILIZATION
Monitor which machines are being used over capacity and determine whether there is an opportunity to upsell new equipment or replacement parts
Employ a product-centric approach to servicing equipment. Optimize maintenance schedules using predictive failure analysis.
Data Transformation Solutions
Mnubo for Intelligent Operations
Integrate IoT and operations to enable data-driven decision-making, continuous process improvements, and better business results.
Mnubo for Intelligent Assets
Monitor the health of assets and make timely decisions about repairing and replacing assets to significantly reduce maintenance costs and downtime.
Mnubo for Intelligent Logistics
Become more efficient by developing just-in-time delivery capabilities, accurate asset tracking, advanced inventory management, and increased logistics transparency
Mnubo for Intelligent Customer Experiences
Drive sales with personalized marketing and a deeper understanding of your customers, decrease the cost of issue resolution, and improve the customer experience.