AI-Powered Employee Retention: Amerit Fleet’s Proactive Approach to Reducing Turnover

Jason Stout is the assistant vice president (AVP) of HR operations at Amerit Fleet Solutions, where he oversees core human resources functions and supports the organization’s mission to deliver custom-built maintenance programs that rest on a foundation of our core principles: integrity, excellence, and customer service. Jason leads Amerit’s Engagement program, which focuses on fostering a positive organizational culture and improving employee satisfaction. With a career in human resources that spans 25 years, Jason has worked in diverse industries, including fleet maintenance, healthcare, and information technology. This broad experience has provided him with a well-rounded perspective on HR operations and the challenges of workforce management in dynamic environments. Jason is passionate about leveraging data and processes to improve operational efficiency, reduce complexity, and align HR practices with organizational goals. Jason holds an undergraduate degree in labor studies from Penn State University, where he built a strong foundation in labor relations, collective bargaining, and employment law. He later earned an MBA from San Francisco State University, which deepened his understanding of business strategy and provided him with the tools to navigate the complexities of modern HR leadership. Throughout his career, Jason has focused on areas such as labor analytics, process improvement, and employee engagement. His interest in labor analytics has allowed him to use workforce data to uncover trends, inform decision-making, and proactively address challenges. By integrating analytics into HR strategies, Jason has helped organizations improve retention, optimize productivity, and achieve better business outcomes. Outside of his work, Jason enjoys spending time with his family and all things active, including skiing in Utah!

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Florencia Silveira is a data scientist on Domo’s AI Labs team, where she collaborates with customers on DSML solutions and works alongside the development team. Her training focused on quantitative research approaches, statistical methodology, and data storytelling. She has worked with nonprofits, research foundations, and scholars on end-to-end projects, providing methodological expertise and support. Florencia is an avid fan of the Domo platform and everything it can accomplish—from data ingestion to dashboarding. Her favorite part of the job is the constant opportunity to combine three of her favorite activities: interacting with intelligent people, conducting intensive data deep dives, and using an easy-to-navigate data experience platform.