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David Babcock

Speaker at SOUTHEAST: David Babcock, Director of Technical PreSales, Ashling Partners

The Value of Digital Twins in Modern Manufacturing

SOUTHEAST Session: Digital twins are rapidly becoming a cornerstone of advanced manufacturing, enabling companies to simulate, optimize, and validate their production processes in a virtual environment before committing to physical execution. This presentation explores the value of digital twins specifically in the domains of CNC machining, robotic automation, and the broader virtual factory. In CNC machining, digital twins replicate the behavior of machines, tools, and part geometries, allowing for precise simulation of toolpaths and real-time detection of potential collisions, over-travel, and inefficiencies. By simulating the exact machine kinematics, spindle dynamics, and tool libraries, manufacturers can reduce setup times, improve part quality, and significantly lower the risk of costly rework or downtime. In robotic work cells, digital twins mirror robotic behavior, motion, and task sequences. This enables manufacturers to program, test, and optimize robot trajectories and tool interactions virtually - ensuring safety, cycle time optimization, and maximum utilization of expensive automation assets. Collision detection, reach analysis, and process synchronization can all be handled digitally before deployment on the shop floor. At the virtual factory level, digital twins provide a holistic view of the entire manufacturing environment - integrating machines, robotics, material flow, operators, and logistics into a unified simulation. This enables strategic decision-making, accurate capacity planning, and the ability to test process changes in a risk-free virtual environment. The result is greater agility, resilience, and efficiency across the entire production lifecycle. Attendees will gain insight into how digital twins reduce risk, increase productivity, and enable smarter planning across manufacturing operations. By harnessing digital twins in CNC machining, robotic systems, and factory-wide simulations, companies can accelerate their journey toward digital transformation and fully realize the promise of Industry 4.0.

Integration and Automation for eCommerce

SOUTHEAST Session: Join us for an insightful and action-packed session that reveals how smart process optimization is transforming financial, logistical, and ecommerce operations. Whether you're looking to streamline workflows, boost accuracy, or scale your business, this presentation delivers practical strategies. Takeaways and What You'll Learn The latest improvements in shipping, fulfillment, and order flow management that are elevating logistics and customer satisfaction. Sail seamlessly! Learn from two real-world business ecommerce customer integration examples—Shopify and BigCommerce—demonstrating how seamless connections with platforms like Acumatica, SAP Business One, and an AI Pricing Agent can streamline operations and support scalable growth.  Spotlight Feature: Pricing Automation Tool -  Say goodbye to manual pricing guesswork! Discover how this: Optimizes margins in real time Syncs across multiple channels Executes hands-free updates Keeps your pricing competitive—automatically Whether you're in finance, logistics, or ecommerce, this session is will provide insights to help you work smarter, not harder. Don’t miss your chance to see how innovation is driving scalable growth and operational excellence.

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.

A New Era of Inspection: Achieving Manufacturing Excellence through Industrial CT Technology

SOUTHEAST Session: This session will explore the transformative potential of industrial CT technology to revolutionize quality control in manufacturing and product development. Attendees will learn how CT enables faster, more accurate inspections, improves defect detection, and reduces waste while accelerating innovation and ensuring product reliability. We will examine the challenges of adopting these systems, including cost, workflow integration, and training, and share best practices for successful implementation across industries. In addition, we will highlight the role of automated inspection systems, their integration with complementary technologies, and what the future of digital quality control holds for organizations seeking a sustainable competitive edge in manufacturing.

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

Ryan Benson

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

Donnie Johnson

Speaker at SOUTHEAST: Donnie Johnson, Strategic Solutions Executive, Stefanini, Inc.

Reducing Energy Waste & Downtime: ​A Smarter Approach to Manufacturing Maintenance​

SOUTHEAST Session: In today's highly competitive manufacturing landscape, operational efficiency is more critical than ever. Yet, excessive energy consumption and unplanned downtime remain major challenges, significantly impacting productivity and costs. Traditional maintenance strategies often fail to address the root causes of inefficiencies, leading to unnecessary energy waste and unexpected failures. This session explores Energy-Centered Maintenance (ECM)—a data-driven, AI-powered approach that goes beyond conventional reliability-centered maintenance by integrating energy efficiency as a key decision-making factor. By leveraging advanced IoT sensors, AI-driven analytics, and real-time machine health monitoring, manufacturers can proactively detect faults, minimize energy loss, and extend asset life. Through real-world case studies and industry insights, attendees will learn how ECM enables manufacturers to reduce operational expenses, prevent unplanned downtime, and achieve sustainability goals—all without compromising productivity. The session will also highlight how machine learning and AI-driven predictive analytics help manufacturers make smarter maintenance decisions, optimizing energy use while ensuring equipment reliability. Whether you're looking to cut energy costs, enhance machine uptime, or align with Industry 4.0 and sustainability initiatives, this session will provide practical takeaways to help you transform your maintenance strategy. Learning Objectives Understand the limitations of traditional maintenance strategies and how excessive energy waste and unexpected downtime impact manufacturing costs and efficiency. Explore the principles of Energy-Centered Maintenance (ECM) and how AI-driven predictive analytics can optimize machine performance, reduce energy waste, and prevent costly breakdowns.