Why use SAP Predictive Asset Insights?

SAP Predictive Asset Insights enables the effective use of predictive maintenance. It features an integrated machine learning engine and a variety of other functions. You have the option of defining a machine learning database and carrying out the training and scoring of prediction models. You can also schedule automatic updates of models once new sensor data becomes available. In addition, you benefit from alert messages that can be generated when deviations from predefined status indicators (such as remaining useful life) are detected. All this makes it possible for you to predict future outages of production assets and schedule maintenance measures in good time.

Implementing predictive maintenance as a maintenance strategy is no simple undertaking. Scheer GmbH can support you in doing so through an approach we have developed based on best practices. We can help you create digital twins of your production assets and define a suitable database as a foundation for the machine learning engine. We'll also show you ways to train and score prediction models for use with specific assets. With this approach, you can avoid unscheduled asset downtime and increase your asset and maintenance efficiency at the same time. Take advantage of this opportunity and upgrade your maintenance processes for the age of Industry 4.0.