Firms typically require multiple sales observations under varying prices to understand how the demand for their items respond to price. In this paper, our partner online retailer is faced with the problem of reconstructing demand curves when only a single point on each curve has been...

In a dynamic pricing problem where the demand function is not known a priori, price experimentation can be used as a demand learning tool. Existing literature usually assumes no constraint on price changes, but in practice sellers often face business constraints that prevent them from conducting...

We consider the periodic review dynamic pricing and inventory control problem with fixed ordering cost. Demand is random and price dependent, and unsatisfied demand is backlogged. With complete demand information, the celebrated (s,S,p) policy is proved to be optimal, where s and S are the...

We study a single product pricing problem with demand censoring in an offline data-driven setting. In this problem, a retailer is given a finite amount of inventory, and faces a random demand that is price sensitive in a linear fashion with unknown price sensitivity and base demand distribution....

The prevalence of e-commerce has made detailed customers’ personal information readily accessible to retailers, and this information has been widely used in pricing decisions. When involving personalized information, how to protect the privacy of such information becomes a critical issue in...

Motivated by the empirical evidence observed from the real-world dataset, this paper studies context-based dynamic pricing with separable demand models. Consider a seller selling products over a finite horizon of $T$ periods and facing an unknown expected demand function that admits a separable...

A main challenge faced by cloud providers is to ensure that they are ready to accommodate the growing demand for compute resources. Towards that goal, providers need to deploy cloud servers agilely for uncertain future demand under many practical business constraints while avoiding unnecessarily...