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Speaker at WEST: Padma Raghunathan, Product Marketing Manager, Deltek

Speaker at WEST: Yaron Alfi, CEO, Magenta Software, Inc

Speaker at WEST: Tyler Boykin, Vice President, Orases

Speaker at WEST: Jeffrey Fiala, President, UnDesked

WEST Session:

Speaker at WEST: Adelle Murphy, Account Executive, Limble

Speaker at WEST: Kevin Kerston, Senior Account Executive, SugarCRM

WEST Session: The R&D Tax Credit is a powerful federal incentive that rewards manufacturers for innovation in product design, process improvements, and new technologies. It directly reduces tax liability or payroll tax, freeing up cash to reinvest in equipment, workforce, and growth. Manufacturers often face challenges such as rising production costs, global competition, supply chain constraints, and the need to modernize with automation, robotics, and sustainable practices. The R&D Tax Credit helps offset these pressures by turning day-to-day problem-solving—like improving tooling, enhancing production efficiency, or developing prototypes—into measurable tax savings. To qualify, activities must pass the IRS “Four-Part Test”: seeking to resolve technical uncertainty, relying on science/engineering, involving experimentation, and aiming to improve a product or process. Eligible expenses include wages, materials consumed in development, and contractor costs. Two paths provide benefits: the Standard Credit , which reduces income taxes, and the Payroll Credit , which offsets up to $500,000 annually in employer payroll taxes—especially valuable for manufacturers reinvesting in growth. The One Big Beautiful Bill Act (2025) restored immediate expensing of domestic R&D costs, eliminating the burdensome 5-year amortization. It also allows companies that capitalized expenses since 2022 to retroactively accelerate deductions. Strategies for manufacturers include building stronger documentation systems, aligning R&D tracking with engineering workflows, and leveraging tax planning to maximize credits year after year. Together, these updates give manufacturers powerful tools to manage costs, stay competitive, and invest confidently in new technologies.

WEST Session: In a manufacturing landscape where production has evolved to be lean, automated, and connected, post-sales support remains outdated—fragmented across PDFs, portals, and manual processes. Impaqx’s Pikclix redefines this landscape with SupportOps 3.0, a transformative, AI-powered platform built to modernize maintenance, service, and parts ordering. By integrating Generative AI, Agentic AI, LLMs, RAG, and Vision AI, Pikclix delivers intelligent, contextual, and actionable support experiences across the customer and technician journey. From conversational AI assistants trained on proprietary documents to clickable assembly diagrams that link directly to live parts catalogs, Pikclix simplifies complex tasks, enhances part identification accuracy, and improves customer satisfaction. The platform empowers manufacturers to scale rapidly—requiring no infrastructure overhaul, integrating with existing systems, and going live in under a month. Business impact is significant: reduced return rates, increased part order volume, and improved customer loyalty. With built-in analytics and automation, Pikclix not only answers support queries but uncovers trends, predicts failures, and drives engineering improvements. In an era where 40% of revenue can stem from aftermarket services, Pikclix transforms post-sales support into a strategic growth engine—bridging the modernization gap and preparing manufacturers for the future of intelligent support.

WEST 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.