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HomeCase StudiesPredictive Maintenance IoT — Global Dairy Manufacturer
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Predictive Maintenance IoT — Global Dairy Manufacturer

Downtime -22% | $1.9M annual savings | OEE 68%→82%
16 weeks

The Problem We Were Brought In To Solve

NZ dairy manufacturer: 22% unplanned downtime costing $1.9M/year. SCADA data collected but never analysed. Reactive maintenance culture.

How Revino Delivered

840 vibration/temperature sensors, ML failure prediction 14 days ahead, automated maintenance work orders, OEE real-time dashboard.

Measurable Business Impact

Unplanned downtime: -22%
Annual savings: $1.9M
OEE: 68%→82%
Failure prediction: 14-day advance warning
SCADA data utilisation: 100%
AWS IoTInfluxDBPythonTensorFlowReact DashboardOPC-UA
Manufacturing & Industry 4.0 IndustryIoT SolutionsAI Automation & Analytics
KEY METRICS
-22%
Downtime
$1.9M
Annual savings
82%
OEE
14 days
Advance prediction
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