Joe Mattekatt
Speaker at WEST: Joe Mattekatt, CEO, Mesoware Inc.
Speaker at WEST: Joe Mattekatt, CEO, Mesoware Inc.
Speaker at WEST: Kevin Rankl, VP Tech Support, SolidCAM
Speaker at WEST: Michelle Leon, Operations Manager, Levil Technology
Speaker at WEST: Errol Burrell, National Product Manager, Matsuura USA
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a manufacturing landscape where production has evolved to be lean, automated, and connected, post-sales support remains outdated—fragmented across PDFs, portals, and manual processes.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.
Speaker at WEST: Brian Liles, Vice President, R&D, Cost Segregation &179D, CSSI-Specialty Tax Services
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: This presentation will explore how modern manufacturers can eliminate delays and inefficiencies in MRO purchasing through a smarter, more connected procurement experience. Traditional indirect materials procurement is often siloed, manual, and reactive—creating friction across sourcing, approvals, and delivery. Vroozi’s SpendTech® platform changes that by offering an intuitive, self-service marketplace that automates requisitions, ensures contract compliance, and increases spend under management. Attendees will see how smart manufacturing systems can trigger AI-driven purchase requests, enabling real-time MRO fulfillment to keep operations running. We’ll walk through a real-world example of how a leading manufacturer accelerated response time and reduced downtime by digitizing and automating their indirect procurement workflows.
WEST Session: In this presentation, we’ll explore how GibbsCAM empowers modern machine shops to overcome complex manufacturing challenges through advanced, yet intuitive, CAM technology. We’ll walk through real-world part examples that demonstrate how GibbsCAM streamlines programming for Milling, Turning, and Multi-Task Machines. Attendees will learn how to reduce cycle times, improve toolpath quality, and eliminate redundant operations using intelligent automation, toolpath optimization, and post processor customization. We’ll highlight strategies like adaptive roughing, simultaneous machining, and sync management for multi-channel machines—all designed to help manufacturers maximize spindle uptime and shorten setup times. We'll also showcase how GibbsCAM’s associative modeling, geometry creation tools, and integrated simulation reduce scrap and improve confidence before the part hits the machine. This session will provide actionable insights to improve programming workflow. By combining powerful functionality with a user-friendly interface, GibbsCAM gives you the control and flexibility needed to stay competitive in today’s fast-paced manufacturing world. Join us to see how GibbsCAM can help you do more with your machines.
WEST Session: Scaling Hardware Without the Headaches: The Critical Need for Automated Procurement Technology Hardware manufacturing teams face unprecedented challenges in scaling procurement operations while maintaining speed, compliance, and cost efficiency. Electronic components represent 70% of the bill of materials in mission-critical industries, yet traditional procurement systems rely on manual processes that create bottlenecks and force engineering teams to spend valuable time on logistics rather than core product development. The hardware industry urgently needs technological solutions that transform procurement from a laborious, error-prone process into automated workflows that scale efficiently without proportional increases in headcount. Modern procurement platforms must integrate advanced technologies to address the unique complexities of electronic component sourcing. Critical Technology Requirements: AI-Powered Process Automation - Advanced systems that can automatically parse unstructured data from supplier communications, emails, and attachments, converting them into structured data for ERP integration. Machine learning algorithms should track complete bills of materials across hundreds of suppliers, providing predictive insights and automated exception reporting to prevent supply disruptions. Intelligent Supplier Network Management - Technology platforms that leverage large databases of pre-vetted suppliers, using automated matching algorithms to connect procurement teams with suppliers based on technical specifications extracted from 2D/3D drawings and process documentation. This eliminates the time-consuming manual vetting process that often takes weeks. Real-Time Supply Chain Visibility - Integrated systems that provide instant access to inventory levels, bill of materials analysis, and global supply intelligence, with predictive algorithms that alert teams to compliance issues, supply disruptions, and component lifecycle changes weeks before they impact production. Research indicates that organizations implementing automated procurement technologies achieve 20% efficiency improvements while maintaining compliance with strict industry regulations. The future of hardware manufacturing depends on developing and adopting these technological solutions to eliminate traditional procurement bottlenecks and enable innovation in aerospace, defense, robotics, and other critical industries.