Predictive Maintenance Solution
Machine Learning Transforms Field Service & Asset Management
Get AI-powered, built-in predictive maintenance models to monitor fixed assets, analyze, predict, and act— all from within one application.
Machine Learning Transforms Field Service & Asset Management
Get AI-powered, built-in predictive maintenance models to monitor fixed assets, analyze, predict, and act— all from within one application.
Many of today’s artificial intelligence (AI) predictive maintenance models are standalone solutions. KloudGin stands apart with predictive maintenance models for fixed asset management baked-in. We incorporate AI and machine learning (ML) technologies to help companies replace their manual and reactionary maintenance processes with automatic, predictive maintenance processes to reduce downtime, improve efficiency, and drive profitability.
KloudGin’s predictive maintenance models consume, aggregate, and analyze Internet of Things (IoT) sensor data, providing alerts of a potential asset failure before it occurs. Asset failure alerts allow ample time to proactively react with a repair or engage a third party.
KloudGin’s predictive maintenance solution assesses the life expectancy of assets in real-time, ensuring the right maintenance is performed at the right time to preserve fixed assets and reduce the chances of asset downtime and failure.
Keep your fixed assets operating at peak performance to drive customer satisfaction. KloudGin’s predictive maintenance solution reduces breakdowns by informing teams where to prioritize maintenance resources.
Devote resources to your most profitable areas in the most efficient way. KloudGin’s AI-powered, predictive maintenance approach helps you reduce overtime costs, increase fixed asset lifetime, and reduce safety incidents.
Decrease the probability of accidents or injury. KloudGin’s predictive maintenance solution ensures assets are being repaired at optimal times with proper planning by the right people, limiting the chance of worker accidents.
Many field service companies perform preventive maintenance and collect Internet of Things (IoT) sensor data for their fixed assets, but are unable to use that sensor data in a valuable, cost-effective way. This is because their IoT data is currently stored in monolithic, siloed systems and unable to be leveraged effectively.
KloudGin offers field service customers undergoing digital transformation a migration path to manage their fixed assets. Utilizing the traditional method of regularly scheduled preventive maintenance processes, field service companies can utilize KloudGin to leverage IoT data company-wide and begin to shift into predictive maintenance routines; focusing on their most business-critical fixed assets first. Through integrated AI and machine learning models, KloudGin ensures your organization can accomplish its asset management digital transformation goals in the most efficient way for your field service business to maximize its ROI.
Preventive Analytics Engine
GATHER DATA
SCADA
IoT Sensors
Generation & Water Assets
Asset Decision Engine
ANALYZE
Fixed Asset Risks
Predict Asset Failures
Capital Planning
SCHEDULE
Initiate Work Order
Condition Management
Asset Optimization
Asset Optimization Engine
EXECUTE
Work Order Completion
Mobile Workforce Integration
Customer Communication