C3 IoT > Case Studies > Predicting HVAC Chiller Failures with C3 AI Reliability

Predicting HVAC Chiller Failures with C3 AI Reliability

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 Predicting HVAC Chiller Failures with C3 AI Reliability - IoT ONE Case Study
Technology Category
  • Analytics & Modeling - Machine Learning
  • Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
  • Education
  • Equipment & Machinery
Applicable Functions
  • Maintenance
Use Cases
  • Building Automation & Control
  • Predictive Maintenance
  • Data Science Services
  • System Integration
The Challenge
The building systems division of a Fortune 500 manufacturer conducted chiller maintenance reactively, leading to business disruptions and costly emergency repairs.
The Customer

Fortune 500 Manufacturing

About The Customer
The customer is a Fortune 500 manufacturer in the building systems division, providing equipment and services for commercial HVAC chiller systems.
The Solution
The manufacturer deployed C3 AI Reliability to rapidly integrate sensor data, normalize readings, and run machine learning algorithms to predict chiller failures.
Quantitative Benefit
  • $178M annual benefit identified, 4 weeks to project completion, 73% model precision, 71% model recall

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