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Case Study: SUN Automation Group achieves predictive maintenance and reduced downtime with Very's anomaly detection software
A Very Case Study
SUN Automation Group launches anomaly detection in 5.5 months with Very
Very partnered with SUN Automation Group, a global leader in corrugated manufacturing solutions, to address the challenge of rapidly retiring skilled workers taking their machine knowledge with them. SUN needed to quickly bring a cutting-edge predictive maintenance solution to market to gain a competitive foothold and help its customers understand machine health in a scalable way.
Very developed Helios, an edge computing solution that uses anomaly detection software to predict and prevent machine failure. The solution provided SUN with a competitive edge and allowed its customers to reduce unplanned downtime and optimize their box plant productivity.
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