Smart Maple
Backend & APIs

IoT Monitoring System

Real-time monitoring system for industrial IoT devices with predictive maintenance and alert systems.

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Key Results

30% reduction in downtime, predictive maintenance saves $500k annually

IoT Monitoring System

The Challenge

A manufacturing company needed to monitor thousands of IoT devices in real-time and predict equipment failures before they caused costly downtime.

Our Solution

We developed an IoT monitoring system with real-time data collection, machine learning-based predictive maintenance, and automated alert systems.

The Outcome

Equipment downtime was reduced by 30%, predictive maintenance saved $500,000 annually, and overall equipment efficiency improved by 25%.

Highlights

  • Real-time data collection
  • Machine learning-based predictive maintenance
  • Automated alert systems
"This system has revolutionized our operations. We can now predict and prevent issues before they impact production."

David Thompson

Operations Manager, Industrial Solutions Inc.

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