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John Carpenter

Speaker at SOUTHWEST: John Carpenter, Founder, Owner, President, Excellerant

Kenny Vuong

Speaker at SOUTHWEST: Kenny Vuong, Account Executive, Integris

Joe Fetter

Speaker at SOUTHWEST: Joe Fetter, Director of Sales, Integris

The Future of Manufacturing: Harnessing Acumatica, AI, ML, LLMs, and IoT

SOUTHWEST Session: The future of manufacturing is being reshaped by the integration of Acumatica, AI, ML, LLMs, and IoT. These technologies collectively drive unprecedented efficiency, innovation, and sustainability. Acumatica’s cloud ERP streamlines operations and scalability, while AI and ML optimize production, predict maintenance, and analyze data for smarter decision-making. LLMs enhance communication and automate documentation, and IoT enables real-time monitoring and interconnected smart factories. Together, they reduce costs, minimize waste, and foster agility, positioning manufacturers to thrive in a competitive global market. By embracing these advancements, companies can achieve long-term success, transform their operations, and lead the industry into a new era of productivity and sustainability.

Evolution of Material Disruption with Automation & AI

SOUTHWEST Session: This demonstration showcases how agentic automation streamlines material replacement and inventory management using UiPath Maestro. The flow begins with an MTR (Material Test Report) being received, processed, and linked to its corresponding purchase order (PO). Upon identifying a defective material, the system transitions to a Maestro-driven workflow where an intelligent agent analyzes the issue, reviews inventory, and finds suitable substitute materials. The agent then recommends replacements based on availability and need. A human operator reviews and refines these recommendations—such as adjusting shipping quantities—and approves an automatically drafted email prepared by the remediation agent for the customer and requisition team. The demo concludes by highlighting how this automation fits into a larger source-to-pay and manufacturing management process, improving speed, accuracy, and end-to-end efficiency.

Errol Burrell

Speaker at SOUTHWEST: Errol Burrell, National Product Manager, Matsuura USA

Winning with AI: The Manufacturer’s Guide to a Successful AI Journey

SOUTHWEST Session: Most manufacturers begin their AI journey with high expectations, yet research shows that 95 percent of GenAI projects fail to create real business value. A common trap is the shiny object syndrome, where leaders and empowered employees chase trendy tools that look impressive but do little to address core operational challenges. This is why only 5 percent of enterprise-built AI tools ever make it into production. The companies that succeed take a different path. They delve into the business itself, uncovering where AI can make the most significant difference. Predictive maintenance that prevents costly downtime, quality control that reduces waste, and supply chain optimization that improves resilience are just a few areas where measurable impact becomes possible. What often separates success from failure is expertise. Internal teams, no matter how skilled, can be limited by organizational bias, resource gaps, and familiar ways of thinking. That is why internal builds succeed only a third of the time. Third-party AI experts, on the other hand, bring fresh perspectives that identify blind spots, challenge assumptions, and apply proven frameworks that raise the success rate to nearly 70 percent. With the proper guidance, AI stops being an expensive experiment and becomes a powerful, revenue-generating asset. For manufacturers, this shift marks the difference between falling behind and building a sustainable competitive edge.

The Value of Digital Twins in Modern Manufacturing

SOUTHWEST Session: Most manufacturers begin their AI journey with high expectations, yet research shows that 95 percent of GenAI projects fail to create real business value. A common trap is the shiny object syndrome, where leaders and empowered employees chase trendy tools that look impressive but do little to address core operational challenges. This is why only 5 percent of enterprise-built AI tools ever make it into production. The companies that succeed take a different path. They delve into the business itself, uncovering where AI can make the most significant difference. Predictive maintenance that prevents costly downtime, quality control that reduces waste, and supply chain optimization that improves resilience are just a few areas where measurable impact becomes possible. What often separates success from failure is expertise. Internal teams, no matter how skilled, can be limited by organizational bias, resource gaps, and familiar ways of thinking. That is why internal builds succeed only a third of the time. Third-party AI experts, on the other hand, bring fresh perspectives that identify blind spots, challenge assumptions, and apply proven frameworks that raise the success rate to nearly 70 percent. With the proper guidance, AI stops being an expensive experiment and becomes a powerful, revenue-generating asset. For manufacturers, this shift marks the difference between falling behind and building a sustainable competitive edge.

David Smith

Speaker at SOUTHWEST: David Smith, Chief Marketing Officer, Novobi, Inc