Competitive Pricing at Scale: Theory and Practices – Prof. Jun Li
Join us for the Data Sciences Speaker Series with Prof. Jun Li, University of Michigan. This talk is co-sponsored by the Data Sciences Institute and the Master of Management Analytics Program (MMA), Rotman School of Management, University of Toronto.
Registration Required – REGISTER HERE
- Date: February 24, 2025
- Time: 11:00 a.m. – 12:00 p.m.
- Format: In-person
- Location: Data Sciences Institute, 10th-floor Seminar Room, 700 University Avenue, Toronto
Competitive Pricing at Scale: Theory and Practices
Description:
I will present a series of theoretical and applied work in competitive pricing. A retailer following a competition-based dynamic-pricing strategy tracks competitors’ price changes and then must decide whether and how to respond. The answers require modeling of consumer decisions, unbiased measures of self- and cross-price elasticity as well as competitor impacts. I will discuss how we achieve them through a combination of consumer modeling, experimentation, causal inference, as well as high-dimensional statistics. I will highlight theoretical development that scales up choice models through high dimensional regularization as well as implementations that led to double digit revenue and profit improvement through close collaborations with leading US and international retailers.
Biography:
Jun Li is a Professor of Technology and Operations at Stephen M. Ross School of Business, University of Michigan. She conducts research in empirical operations management and business analytics spanning areas across revenue management and pricing, healthcare management, supply chain risks, and public sector operations as well as improving the wellbeing of children and young adults. She won the 2015 INFORMS Revenue Management and Pricing Practice Award, the 2020 INFORMS Revenue Management and Pricing Section Award, the 2022 MSOM Young Scholar Prize, Poets & Quants 40 Under 40 MBA Professors, the Management Science Best Publication award and the Responsible Operations Management Best Publication award, etc. She serves as Associate Editors at Management Science, Manufacturing and Service Operations Management, and Operations Research. She holds a Ph.D. in Managerial Economics and Management Science from the Wharton School, University of Pennsylvania, and a Bachelor in Operations Research and Industrial Engineering from Tsinghua University, China.