How Machine Learning Will Change the Corrugated Industry
In the nearly 150 years since corrugated box manufacturing machines came into existence, output, efficiency, and bottom line has ridden largely on guesswork and intuition. That is all about to change, enter: Machine Learning. In this webinar, hosted by Len Prazych, Editor-in-Chief of Board Converting News, participants will learn about the corrugated facility of the future: where data is harvested and analyzed, increasing output and profit margins by orders of magnitude, and even predicting and preventing breakdowns before they happen. Machine Learning will no longer be seen as a cutting-edge technology, but rather as a necessity. Its strategic incorporation into operations will allow box plants to gain a fast and long-term competitive advantage over companies that delay adoption.
Dennis Wood is Director of Manufacturing at Premier Packaging, an early adopter of Machine Learning. With over 85 locations in North America, Canada, and Mexico, Premier’s packaging solutions have effectively improved labor efficiency, reduced supply chain costs, and created a world-class experience for its clients.
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