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Oseco Case Study - Delivering Condition Monitoring with Seebo

Oseco were completely new to Industry 4.0, Oseco needed to find a lean and quick method for successfully implementing condition monitoring.

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  • SUPPLIER
  • Seebo
    Seebo is an Industry 4.0 SaaS platform with laser-focused business solutions that ‘move the needle’ for manufacturers in 3-months or less.Founded in 2012, the company has raised over $22M from Viola Ventures, TPY Capital, Pritzker Group, and other investors. Seebo was named a Gartner Cool Vendor in the Internet of Things for 2017.You can learn more by visiting our website: seebo.com or introduce Seebo to others with the following link: seebo.com/introducing-seebo.
  • TECHNOLOGIES
  • Analytics & Modeling - Predictive Analytics
    Functional Applications - Enterprise Asset Management Systems (EAM)
    Functional Applications - Remote Monitoring & Control Systems
    Sensors - Pressure Sensors
    Sensors - Vibration Sensors
  • INDUSTRIES
  • Equipment & Machinery
  • FUNCTIONS
  • Maintenance
  • USE CASES
  • Machine Condition Monitoring
    Predictive Maintenance
  • ABOUT CUSTOMER
  • Oseco is a US-based manufacturer of industrial pressure products for chemical, oil and gas applications.With new opportunities made available by Industry 4.0, Oseco aimed to improve the efficiency of their products in the field and quickly diagnose issues
  • CUSTOMER NAME
  • Oseco
  • CONNECTIVITY PROTOCOLS
  • SOLUTION
  • Oseco is using the Seebo platform to get deep visibility into their equipment health and actionable insights to maximize overall equipment effectiveness (OEE), reduce maintenance costs, and cut downtime.

     

  • DATA COLLECTED
  • Alarms For Automated Applications, Downtime, Equipment Status, Overall Equipment Effectiveness, Pressure
  • OPERATIONAL IMPACT
  • Impact #1
    [Process Optimization - Real Time Alerts]
    Reduce downtime with real-time alerts that detect critical changes in pressure
    Impact #2
    [Efficiency Improvement - Maintenance]
    Extract analytic insights from products in the field to identify the root cause of issues and see how products are used
    Impact #3
    [Efficiency Improvement - Operation]
    Improve efficiency with the ability to control and get visibility into operations from anywhere, and at anytime
  • QUANTITATIVE BENEFIT
  • Benefit #1

    Generate new revenue streams with a data analysis service for customers

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