Revenue management (RM) is the application of analytical methodologies and tools that
predict consumer behavior and optimize product availability and prices to maximize a firm's …

We consider a platform's problem of collecting data from privacy sensitive users to estimate
an underlying parameter of interest. We formulate this question as a Bayesian-optimal …

In recent decades, the advance of information technology and abundant personal data
facilitate the application of algorithmic personalized pricing. However, this leads to the …

Dynamic pricing is utilized as a tool for determining pricing strategies in different sectors,
such as the food industries, airline companies, and transportation services. Dynamic pricing …

We study private and robust multi-armed bandits (MABs), where the agent receives Huber's
contaminated heavy-tailed rewards and meanwhile needs to ensure differential privacy. We …

This paper introduces the general philosophy of the Operational Data Analytics (ODA)
framework for data‐based decision modeling. The fundamental development of this …

In this article, we study the contextual dynamic pricing problem where the market value of a
product is linear in its observed features plus some market noise. Products are sold one at a …

In this article, we describe representative contributions in several major application areas of
data analytics in operations management to summarize the recent development, discuss the …

We study the classic model of joint pricing and inventory control with lost sales over T
consecutive review periods. The firm does not know the demand distribution a priori and …

Differential pricing in e-commerce has sparked discussions about price discrimination.
However, due to the difficulty in measuring consumers' satisfaction with different prices for …