Energy

Predictive analytics for corrosion impact

Key facts

typically67%cut in unnecessary parts ordered for field service maintenance
typically5%fall in major asset downtime
typically65%improvement in accounts receivable collection
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Top business benefits

Cuts downtime

Reduces maintenance costs

Improves predictive maintenance

Predictive-analytics tool for reducing unplanned maintenance caused by corrosion.

In more detail

Full description

Corrosion is one of the biggest problems faced by plant operators and one of the most expensive to fix.

The challenge

Corrosion management traditionally involves expensive invasive inspections prone to human error.

The approach

This predictive-analytics tool is designed to reduce the impact of unplanned maintenance caused by corrosion. It collects and analyses data from previous corrosion issues from various sources. It then using machine learning to predict operational maintenance requirements in the field. With this data, operators can make more accurate maintenance decisions, and will order fewer parts unnecessarily.

This solution helps to significantly reduce major asset downtime and cuts maintenance and parts costs dramatically.

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2022 Globee Award Winner

A bronze award in the 'Startup of the Year: Business Services' category