For digital retailers, the ability to revise prices swiftly and at scale has become a decisive differentiator. While many retailers scrape rivals’ websites for price information, few have mastered how to respond. Dr. Jun Li, Associate Professor of Technology and Operations at the University of Michigan’s Ross School of Business, will explain how to build an AI-powered pricing model that is responsive to the competition, and will share several successful implementations at large-scale retailers.
Dr. Jun Li is an Associate Professor of Technology and Operations at Stephen M. Ross School of Business, University of Michigan. She has over 15 years’ research and consulting experience in revenue management and pricing, healthcare, supply chains, as well as public sector operations. She is the winner of the INFORMS Revenue Management and Pricing Practice Award for implementing competition-based dynamic pricing in online retailing. She is also awarded the INFORMS Revenue Management and Pricing Section Award in recognition of her contribution to the science of pricing and revenue management. Her recent research on crowdfunding K12 school teachers is shortlisted for the Financial Times Research Impact Award. She is a recipient of the MSOM Young Scholar Prize which recognizes exceptional young researchers under 40 who have made outstanding contributions to scholarship in operations management. Prior to joining Ross, Jun received her Ph.D. degree in Managerial Economics and Management Science from the Wharton School, University of Pennsylvania.RSVP NOW