Tyson Stull

Join panelists, as they demonstrate how to transform legacy data into actionable insights for modern field service analytics. This session will explore strategies to migrate, cleanse, and harmonize decades-old operational data with AI-driven tools, enabling predictive maintenance, optimized resource allocation, and cost-effective service models. Attendees will learn how to bridge historical datasets with real-time IoT platforms to forecast equipment failures, reduce downtime, and elevate customer satisfaction through data-driven decision-making.

Key Takeaways:

• Modernize legacy data through migration and cleansing to enable predictive analytics and AI integration.
• Leverage historical insights to forecast equipment failures and optimize technician dispatch processes.
• Transform field service operations by aligning legacy data with real-time IoT platforms for proactive decision-making.

This panel explores how artificial intelligence is fundamentally reshaping the aftermarket industry, with a focus on driving productivity and profitability across key business functions. The discussion will highlight real-world applications of AI-including predictive analytics for maintenance, AI-driven inventory management, automated customer service, and supply chain optimization-demonstrating how these technologies are transforming traditional aftermarket models into agile, data-driven operations. Panelists will share their hands-on experience implementing AI across global service networks, offering practical insights on overcoming integration challenges, maximizing ROI, and leveraging advanced analytics for continuous improvement. Attendees will gain a comprehensive understanding of how AI can be used not just for automation, but for smarter decision-making, improved demand forecasting, and delivering a best-in-class customer experience. The conversation will also address the future of AI in aftermarket services, including emerging trends and strategies for staying ahead in a rapidly evolving marketplace.

Key Takeaways:

• Implement AI-driven predictive analytics to anticipate equipment failures, optimize maintenance schedules, and reduce unplanned downtime-boosting both efficiency and customer satisfaction
• Leverage AI-powered inventory management to enhance demand forecasting, minimize stockouts and excess inventory, and ensure the right parts are available at the right time-driving cost savings and improved service levels
• Automate customer service and data processes with AI tools such as chatbots, smart manuals, and natural language search, enabling faster response times, higher data accuracy, and a more seamless customer experience

As the field service industry rapidly evolves, the demand for cross-skilled technicians-professionals trained across multiple trades and disciplines-is reshaping how organizations deliver value and efficiency. This session explores the drivers and benefits of building a workforce of versatile technicians who can resolve a broader range of issues in a single visit, reducing the need for multiple specialists and minimizing costly repeat site calls. Led by Tyson Stull, who brings deep expertise in global service operations at Bio-Rad Laboratories, the discussion will highlight how cross-skilling programs empower technicians to become true problem-solvers and trusted advisors for customers. Tyson will share real-world examples of how developing multi-disciplinary skills not only boosts productivity and first-time fix rates, but also positions technicians to spot upsell opportunities, provide proactive recommendations, and strengthen long-term customer relationships.

Key Takeaways:

• Develop cross-skilling programs to expand technician expertise across multiple trades, increasing first-time fix rates and reducing operational costs.
• Leverage mentorship, knowledge sharing, and digital learning tools to accelerate upskilling, foster collaboration, and preserve institutional knowledge.
• Empower technicians as trusted advisors by enabling them to identify additional service opportunities and deliver a more consultative, value-driven customer experience.