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Kern announces new inserting technology with demonstration of the Ai-Class

Monday, October 04, 2010

Press release from the issuing company

Grove City, Ohio - Kern, a global leader in high-speed, end-to-end production mail solutions is pleased to announce today the demonstration of the next generation of inserting technology, the Kern Ai-Class of inserting systems. 

The Kern Ai-Class utilizes advanced electronics and high speed system communications to drive an intelligent, automated mail inserting system that produces up to 33,000 mailpieces per hour.  The Ai-Class of inserting systems is designed to give mailers a quick return on investment by delivering lower cost per mailpiece enabled with the unprecedented speed and production intelligence to make operators more productive. 

The first public demonstration of the Kern Ai-Class is at Graph Expo 2010 in Chicago, Illinois from October 3rd – 6th.  Exhibiting a direct mail model, The Kern Ai-33Direct will be featured in a technology demonstration highlighting the advancements in speed, document control, integrity, and operation efficiencies.

"Kern's culture of innovation was a driving factor in our pursuit of the most advanced inserting system ever brought to market," said Dr. Thomas Brock, President/CEO of Kern, Inc.  "We listened to our customers to better understanding the features that would help them be more successful.  Mailers today are concerned with the cost of labor, materials, and the need maintain a low overall cost per piece while maintaining a world-class production facility as a core business process.  The Ai-Class of inserting systems satisfies these needs."

The Kern Ai-Class of inserting systems have the capability to think for themselves and change their behavior based on what is happening with the system in real time.  The monitoring system of the Ai-Class of inserting systems ensures that every document throughout the system is tracked until it has been inserted and sealed correctly.  The Ai-Class proactively identifies opportunities to improve system efficiency, maximize output, and minimize the use of inactive resources in realtime.




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