Driving Industry 4.0 at Mabe - Altair RapidMiner User Behavior Predictions Help Optimize Appliance Performance

Mabe wanted to leverage historical data from the field to gain new insights into how to optimize the frequency of compressor and air circulation fan operations in its refrigerators to save energy while also keeping food fresh based on how often the door is opened and how long it stays open. Together, Altair and Mabe built an AI workflow in Altair AI Studio that extracts, cleans, prepares, and transforms their data to predict consumer behavior based on the days of the week. Mabe’s engineering team deployed the workflow using Altair AI Hub. Overall, the Altair workflow will help Mabe predict consumer behavior to optimize their refrigerators’ performance and efficiency, ultimately helping customers keep their food fresher for longer.