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I’m Sorry, Dave: The Rise of AI in Print and Packaging

There is a wave of innovation in print and packaging equipment and workflow systems that are beginning to implement artificial intelligence, not just within an individual system but across complete supply chains between different systems, processes, and even extending to semi-autonomous labor. David Zwang rounds up the current state of the art.


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About David Zwang

David Zwang travels around the globe helping companies increase their productivity, margins and market reach. He specializes in production optimization, strategic business planning, market analysis, and related services to companies in the vertical media communications market. Clients have included printers, manufacturers, retailers, publishers, premedia and US Government agencies. He can be reached at [email protected].


By Sean Smyth on Mar 01, 2022

HAL sends his regards, Dave!

I think the other strand of AI that is good for printing is in analytics, profiling, targeting, etc. that is making much print very valuable to marketers prospecting, and brands keen to upsell and develop their relation with existing customers. In packaging the move to connected packs aids visibility across distribution chains to increase efficiency and responsiveness, and provides a new conduit for consumer communication. And while I like to believe it is a nice human in their offices sending me information I suspect the mighty AI algorithm is working his/her/its magic up there in Cloudland.


By David L. Zwang on Mar 01, 2022

Daisy, Daisy....... :-)


By Gershon Alon on Mar 01, 2022

Thanks Dave for the HP PrintOS reference. In fact, AI is being heavily used on PrintOS for many applications. For example, our big data analytics' algorithm constantly analyzes the data that the presses submit, in order to identify potential performance improvements. Once identified, the customer gets a "PrintOS Print Beat hint" which describes the issue, its impact (in minutes and % of press uptime loss) and the solution. We also use AI to predict customers’ supplies needs and optimize supplies shipment, reducing costs and environmental impact, as well as excess inventory costs. AI also plays a big role in optimizing the print itself. For example in the Auto Alert Agent 2.0 which automates quality control.



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