Qi, Zhengling; Tang, Jingwen; Fang, Ethan; Shi, Cong - 2022
We study a personalized pricing problem with demand censoring in an offline data-driven setting. In this problem, a … firm is endowed with a finite amount of inventory, and faces a random demand that is dependent on the offered price and the … covariates (from products, customers, or both). Any unsatisfied demand that exceeds the inventory level is lost and unobservable …