题　目：Two-Sided Pricing and Learning with Buyer Choice: A Generalized SGD Method

嘉　宾：林美纯 助理教授 新加坡管理大学

主持人：许欢 教授 上海交通大学安泰经济与管理学院

时　间：2025年5月14日（周三）10:00-11:30

地　点：安泰楼A507室

内容简介：

Motivated by online used-car platforms, we study pricing decisions for purchasing and selling multiple products in a two-sided market. While supply for each product is independently acquired from individual sellers, demand is substitutable and follows a choice model. With uncertainty from both supply and demand, a platform sequentially adjusts purchase and selling prices to maximize profit while satisfying inventory constraints. Moreover, the platform does not know in advance the supply and demand as functions of prices. The pricing decisions should account for learning of the supply and demand functions in addition to the two sides of uncertainty and potential stockouts. When the supply and demand functions are known, we find a class of fixed-price policies that achieve provably good performance. Our finding suggests that we can target a fixed-price policy rather than the state-dependent optimal policy when the supply and demand functions are unknown. We propose a novel generalization of the classical SGD method for learning the target prices on each side. Our algorithm with the generalized SGD is asymptotically optimal when the planning horizon is large.

演讲人简介：

Meichun Lin is an Assistant Professor of Operations Management at Lee Kong Chian School of Business, Singapore Management University. Her research focuses on data-driven decision making with applications such as dynamic pricing and inventory management. Her work has been published in top-tier journals such as Operations Research, Management Science, and Production and Operations Management.

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