Predictive maintenance

Make factories smarter and more efficient

Make factories smarter and more efficient

Monitor manufacturing equipment in real time and track its full lifecycle to predict and prevent equipment failure, reduce downtime, and optimize processes. The Neal Analytics predictive maintenance solution combines advanced data analysis, artificial intelligence algorithms, and IoT built on Microsoft Azure with Intel technology to help you control costs and improve product quality.

Make factories smarter and more efficient
Glass company predicts breakdowns with 85% accuracy, two days in advance
Glass company predicts breakdowns with 85% accuracy, two days in advance

Glass company predicts breakdowns with 85% accuracy, two days in advance

An international glass manufacturer was experiencing equipment failures that led to unexpected costs and low production availability. Using the Neal Analytics Predictive Maintenance solution, which includes Microsoft Azure Machine Learning, the company can identify variables and anomalies that influence equipment failure. This solution enables the company to predict breakdowns two days in advance with 85% accuracy and take appropriate action, resulting in lower maintenance costs and less unplanned downtime.

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Download the solution brief PDF to learn about this solution, share with your team, and discover how to implement IoT solutions for your business needs.
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