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Access your trial of SAP Predictive Maintenance and Service, cloud edition!

The amount of repair and maintenance expenses worldwide is in the range of $500 billion, which has a huge impact on profitability. This is why in the past many companies have moved from a fixed-interval preventive maintenance strategy to a more agile approach based on condition data.

In order to take the next maturity level, manufacturers and operator of assets are now moving towards a predictive maintenance strategy which also takes into account sensor data from machines. This will allow them to develop optimized maintenance and service schedules as well as more precise failure predictions.

Asset operators improve equipment up-time and production quality with more precise failure predictions.
Asset manufacturers (OEMs) reduce warranty costs, improve service operations and are now able to deliver higher margin service offerings.

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