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Predict failures on beverage packaging lines before they stop production, score the health of every machine, and give maintenance teams clear, prioritized actions.

Engineering Insights Platform is an AI-driven Industrial IoT (IIoT) and predictive maintenance application for beverage packaging operations. Maintenance managers monitor equipment health in real time and shift from reactive to proactive maintenance.

  • Real-time operational monitoring - live line speed and overall efficiency are tracked for high-volume packaging lines, and a visual production flow maps the health of every stage, from depalletizer to case packer.
  • Predictive reliability and AI insights - identifies components at risk, such as a main drive motor, with a probability of failure and time window, and flags subtle anomalies like current spikes or unusual vibration.
  • Asset health scoring - every machine gets a health score, so a rinser or conveyor in a critical state stands out and limited maintenance resources go to the machines most likely to stop the line.
  • Maintenance optimization - clusters related work, such as motor and bearing inspections, to cut downtime, and gives prescriptive actions like increasing lubrication frequency.
  • Collaborative maintenance management - a team workspace lets maintenance staff discuss alerts, assign tasks, and schedule work, so critical alerts are handled systematically.

Schedule a demo of the Engineering Insights Platform

See health scores and failure predictions across a packaging line, plus the task clustering that cuts monthly downtime hours.