Predictive Maintenance (PdM)

Intelligence-Based Learning Transforms Field Service & Asset Management

Get pre-integrated, built-in predictive maintenance models to monitor assets, analyze, predict, and act— all from within one application.

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KloudGin Predictive Maintenance (PdM) Solution

Many of today’s Artificial Intelligence (AI) predictive models are standalone solutions. That’s where KloudGin stands apart. We incorporate AI and Machine Learning (ML) technologies to help companies replace manual, reactionary processes with automatic, predictive processes to prevent downtime, improve profitability, and creative a competitive advantage.

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Avoid Unplanned Downtime of Your Assets

KloudGin’s Predictive Analytics consume, aggregate, and analyze Internet of Things (IoT) sensor data, providing alerts of a potential failure before one occurs. The alerts allow ample time to proactively react with a repair or engage a third party.

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Extend Asset Lifetime With a Predictive Approach

KloudGin’s Predictive Analytics assess the life expectancy of assets in real-time, ensuring the proper maintenance is performed at the right time to preserve assets and reduce chances of failure.

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Improve Customer Satisfaction

Keep your assets operating at peak performance to drive customer satisfaction. KloudGin’s Predictive Analytics reduce breakdowns by informing teams where to prioritize maintenance resources.

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Reduce Field Service Operating and Repair Costs

Devote resources to your most profitable areas. KloudGin’s proactive, Predictive Maintenance approach helps you reduce overtime costs, increase asset lifetime, and reduce safety incidents.

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Improve Field Service Technician Safety

Decrease the probability of accidents or injury. KloudGin’s Predictive Analytics ensure assets are being repaired at optimal times with proper planning by the right people, limiting the chance of accidents.

How we excel at deploying Predictive Maintenance

Many companies perform preventive maintenance and collect Internet of Things (IoT) sensor data for their 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 and siloed systems.

 

KloudGin offers customers a migration path to manage their assets using the traditional method of regularly scheduled preventive maintenance as they move into predictive asset management for those most critical assets.

Preventive Analytics Engine

GATHER DATA

SCADA

Sensors

Generation & Water Assets

Asset Decision Engine

ANALYZE

Asset Risks

Predict Failures

Capital Planning

SCHEDULE

Initiate Work Order

Condition Management

Asset Optimization

Asset Optimization Engine

EXECUTE

Work Order Completion

Mobile Workforce Integration

Customer Communication

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Connected through a single platform

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Asset Management


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Field Service Suite


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Connected Subcontractor


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