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 …

Choice models are widely applied in psychology, economics, transportation, marketing, and
operations studies. We review the existing developments on the modeling of consumers' …

We consider an online assortment optimization problem where we have n substitutable
products with fixed reusable capacities c 1,…, cn. In each period t, a user with some …

In this paper, we consider the yet-uncharted assortment optimization problem under the
exponomial choice model, in which the objective is to determine the revenue-maximizing set …

In logistics and mobility services, new business models such as “attended home
delivery”,“same-day delivery”, and “mobility-on-demand” have been successfully …

We introduce the click-based MNL choice model, a framework for capturing customer
purchasing decisions in e-commerce settings. Specifically, we augment the classical …

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 …

To make the last mile of parcel delivery more efficient, service providers offer an increasing
number of modes of delivery as alternatives to the traditional and often cost-intensive home …

Motivated by the successes of deep learning, we propose a class of neural network-based
discrete choice models, called RUMnets, inspired by the random utility maximization (RUM) …

Attended home delivery describes the delivery of goods by e-grocers or e-tailers to
customers within an agreed time window. Because customers expect narrow time windows …