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Learnings from SAP Migration at Prym

SOUTHEAST Session: This presentation showcases the successful migration of Prym Consumer USA from a local SAP ERP to the Prym Group’s global SAP platform, a transformation that redefined core manufacturing and supply chain operations. Completed in just eight months, the project modernized order-to-cash, procure-to-pay, finance, warehouse management, and returns processes while aligning with Prym’s fiscal year change. To address manufacturing challenges, advanced automation solutions, including Pick by Light and a Loose Item picking sorter were implemented to boost accuracy and efficiency in logistics. Seamless EDI integration via Seeburger connected Prym with leading U.S. retailers such as Walmart and Amazon, while Shopify integration expanded direct-to-consumer sales. Delivered on time, under budget, and with minimal disruption, this case study offers a clear roadmap for manufacturers seeking to harmonize global processes, adopt automation, and strengthen supply chain resilience in today’s competitive landscape.

Building the Data Foundation for AI Success

SOUTHEAST Session: Artificial intelligence has the potential to transform how companies operate, but too often, those investments fall short because the underlying data isn’t ready for AI. In this session, Rob Longfellow, CTO of Juxtum, will share how Juxtum helps organizations capture, clean, and integrate their data so that it works seamlessly with the AI platforms they already use. By breaking down silos, standardizing inputs, and creating scalable data pipelines, Juxtum ensures that AI delivers accurate insights, trusted recommendations, and measurable business value. Attendees will learn why strong data practices are the real key to AI success—and how Juxtum makes that possible today.

Democratizing AI for Small and Mid-sized Manufacturers

SOUTHEAST Session: Job shops, mid-size machine shops, and contract manufacturers power much of the world’s production, yet they face persistent constraints: skilled labor shortages, rising complexity, and pressure to deliver faster at lower cost. While AI adoption has taken root in large enterprises, the greatest untapped potential lies with small and mid-sized manufacturers. This session will cover how practical AI solutions can compress programming time, improve productivity and reskill existing and onboard new employees and attract a new generation of talent.

Steve George

Speaker at SOUTHEAST: Steve George, Senior Manager Product Engineering – Solid Rounds, Kennametal

Elise Jones

Speaker at SOUTHEAST: Elise Jones, Head of Corporate Marketing, Tulip Interfaces

Ryan Benson

Speaker at SOUTHEAST: Ryan Benson, Vice President of Security, CompassMSP

Enrique Herrera

Speaker at SOUTHEAST: Enrique Herrera, Senior Principal, Strategy & Business Development, Zebra Technologies

Rebecca Battle-Bryant

Speaker at SOUTHEAST: Rebecca Battle-Bryant, Director, Office of Statewide Workforce Development (OSWD)

Anton Thomas

Speaker at SOUTHEAST: Anton Thomas, Director, Transformation, Michelin North America, Inc

Enhancing Inspection Efficiency with AI-enabled Computer Vision

SOUTHEAST Session: Manufacturers performing visual inspections on their products have historically had two options: perform the inspection manually, or program a rule-based vision system. Both of these options are slow, inflexible, and costly to maintain. However, as Graphical Processing Units (GPUs) have become more powerful, a third approach has become available: deep learning. Deep learning-based vision systems learn directly from annotated images to perform inference on images. They offer numerous advantages including rapid deployment, greater detection flexibility, and lower development and acquisition costs. They are also easily retrained and reconfigured with minimal to no programming.  As such, they represent a massive opportunity to automate quality inspection for small to medium sized manufacturers. In this presentation, we will discuss the technology that enables AI-based computer vision, the advantages they provide, use cases, and how to best implement them. Attendees will walk away with a clear understanding of where deep learning fits into their operation and how to get started with the right tools and strategy.