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CERM launches AI-powered Scheduling Optimizer

The Scheduling Optimizer streamlines long-term planning while allowing planners to focus on short-term adjustments tailored to specific production needs.

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By: Greg Hrinya

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CERM MIS Software has announced the launch of its new AI-powered Scheduling Optimizer at Labelexpo Americas 2024. Attendees are invited to join CERM for exclusive sessions during this event to discover how this new tool can transform their scheduling processes.

According to the company, CERM’s new Scheduling Optimizer is set to redefine how print shops manage their productions schedules. Powered by advanced AI algorithms, the Scheduling Optimizer streamlines long-term planning while allowing planners to focus on short-term adjustments tailored to specific production needs. This product is designed to improve efficiency, reduce costs, and prepare businesses for the future of production management.

The company is hosting CERM Studio Sessions to allow attendees to experience the power of the Scheduling Optimizer first-hand. Led by Peter Heyse, director of product development at CERM, these sessions will provide insights and live demonstrations into how the AI-driven Scheduling Optimizer can enhance the scheduling process.

“Whether you’re handling complex production schedules, short-run orders, or high-end finishing, our Scheduling Optimizer delivers the most efficient and effective schedule tailored to your business’ unique needs,” says Sebastiaan Hermans, marketing manager at CERM.

Session Details:

  • Tuesday (9/10)  10:30 AM – 11:00 AM
  • Thursday (9/12)  3:15 PM – 3:45 PM
During the live demonstrations, attendees will see how the tool simplifies production planning by handling long-term scheduling and allowing planners to focus on a “frozen window” of short-term tasks, adjusted to pre-defined parameters. The AI capabilities of the Scheduling Optimizer enable it to adapt to a wide range of production scenarios, ensuring that print shops can tackle any challenge with greater ease and accuracy.

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