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Manufacturing

Manufacturing IoT Integration

Connected factories with predictive maintenance.

25% Less Downtimeheadline result

The Challenge

Disconnected factory floors relied on manual data collection, leaving leaders blind to equipment health and causing costly unplanned downtime.

Our Solution

We deployed IoT sensors and edge computing feeding AI-driven predictive maintenance models, giving operators early warning and actionable insight.

How We Did It

1

Instrument

Fitted machines with sensors and edge gateways.

2

Connect

Streamed telemetry securely to a central platform.

3

Predict

Trained models to forecast failures before they occur.

4

Act

Alerted teams with prioritized maintenance actions.

The Impact

25% reduction in unplanned downtime

20% productivity improvement

Early warning on equipment failures

Data-driven maintenance scheduling

Technologies Used

IoT / MQTTEdge ComputePyTorchTime-series DBKubernetes

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