Augury > Case Studies > AI-driven Machine Health Drives Actionable Insights at CPG's North American HQ

AI-driven Machine Health Drives Actionable Insights at CPG's North American HQ

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 AI-driven Machine Health Drives Actionable Insights at CPG's North American HQ - IoT ONE Case Study
Technology Category
  • Analytics & Modeling - Predictive Analytics
  • Sensors - Magnetometers
  • Sensors - Temperature Sensors
  • Sensors - Vibration Sensors
Applicable Industries
  • Food & Beverage
Applicable Functions
  • Maintenance
Use Cases
  • Machine Condition Monitoring
  • Predictive Maintenance
The Challenge

Sodexo, the leader in facilities management, is helping manage the operations of the North American headquarters of one of the world’s largest CPG companies. Both the client and Sodexo were looking to transform their respective workplace and modernize workflows. Sodexo was accustomed to practicing route-based maintenance but the lack of insights in the machines they managed hindered them from better understanding the true health of those machines. It wasn’t just about cost saving, it was about leveraging technology to transform how they worked. Sodexo needed a partner that could digitally transform their program, provide continuous insights into the health of their machines, all while bringing them into the new world of Industrial IoT. How could the team optimize asset performance? How could they increase productivity while extending the life of equipment? How could they leverage decades of hands-on experience with technology to accomplish more? 

The Customer
About The Customer
Sodexo North America is headquartered in the Washington, D.C., metropolitan area and is part of a global, Fortune 500 company with a presence in 80 countries. Sodexo is a leading provider of integrated food, facilities management and other services that e
The Solution

Within weeks of deployment, Augury’s wireless sensors and AI-driven insights were making an impact on the research and employee workspace. The wireless solution simplified the operations of the maintenance and operations team. With 24/7 continuous diagnostics monitoring vibration, temperature, and magnetic data of critical assets, the Sodexo team would be notified of any mechanical malfunctions at their earliest onset, and provided insights on how to correct any issues. The team was able to elevate their services from timebased maintenance to condition-based monitoring, saving time and money while maintaining high-quality service to the client.


Operational Impact
  • [Efficiency Improvement - Production]

    Augury is optimizing Sodexo’s workflow so the client’s “workplace of the future” can enable the innovators and creators of tomorrow’s great consumer brands. 

Quantitative Benefit
  • Saved a total of $215,000 in maintenance related costs.

  • Reduced labor by 1,602 hours. 

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