Forecasts have traditionally served as the basis for planning and executing supply chain
activities. Forecasts drive supply chain decisions, and they have become critically important …

Retail business has been rapidly evolving in the past decades with the boom of internet,
mobile technologies and most importantly e-commerce. Supply chain management, as a …

We consider a logit model-based framework for modeling joint pricing and assortment
decisions that take into account customer features. This model provides a significant …

Prophet inequalities are a useful tool for designing online allocation procedures and
comparing their performance to the optimal offline allocation. In the basic setting of k-unit …

Motivated by the applications of rental services in e-commerce, we consider revenue
maximization in online assortment of reusable resources for a stream of arriving consumers …

Motivated by e-commerce, we study the online assortment optimization problem. The seller
offers an assortment, ie a subset of products, to each arriving customer, who then purchases …

In this paper, we study the dynamic assortment optimization problem over a finite selling
season of length T. At each time period, the seller offers an arriving customer an assortment …

Motivated by the dynamic assortment offerings and item pricings occurring in e-commerce,
we study a general problem of allocating finite inventories to heterogeneous customers …

Assortment optimization is a core topic of demand management that finds application in a
broad set of different areas including retail, airline, hotel, and transportation industries as …

We consider a dynamic pricing problem in a system with reusable resources. Customers
arrive randomly over time according to a specified nonstationary rate, and each customer …