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Joint Pricing and Inventory Management with Demand Learning

2022 Data-driven Optimization Workshop: Joint Pricing and Inventory Management with Demand Learning Speaker: Yuan Zhou, Tsinghua University In the problem of joint pricing and inventory management the retailer makes simultaneously a price decision and an inventory order-up-to decision at the beginning of each review period. The demands are being modeled as either a parametric or nonparametric function depending on the prices. In this talk, I will introduce two of my recent works advancing this problem: the first one deals with fixed ordering costs under the backlogging setting, with a parametric (generalized linear) demand model. The second one studies nonparametric demand models with censored demands and lost sales. The techniques involved include a novel UCB analysis over trajectories of (s,S,p) policies, and a noisy comparison oracle constructed for censored demand models. This talk is based on the following two papers: https://papers.ssrn.com/sol3/papers.c... https://papers.ssrn.com/sol3/papers.c...