The service sector contributes over 70 percent to the nation's Gross Domestic Product (GDP) and engages a workforce of more than 130 million. This Faculty Early Career Development Program (CAREER) grant will support research that attempts to contribute to the progress of science and the advancement of national prosperity and welfare by introducing and analyzing stochastic models at the level of interactions between customers and service providers, rather than via traditional system-level models. By capturing micro-level details that were previously overlooked, this project intends to address novel and societally important operational problems in the service sector, offering to recover wasted time and improve customer outcomes without additional resources. This project aims to improve managerial decision making, introduce new operational problems, and generally open novel avenues of analysis specifically for services. In its education plan, the award aims to expose students to modeling and quantitative reasoning through the development and dissemination of instructor-facing tools for integrating artificial intelligence and data science in undergraduate business education. As undergraduate business students comprise an extensive and representative population of future team members and leaders of the Nation's commercial enterprises, their understanding, involvement, and support of modeling can improve the overall quantitative literacy of the workforce and public, advancing the