Although multiple-purchase behavior is typical in retail practice, the choice model to portray
such behavior is limited in existing research. This paper presents a new multiple-purchase …

<? show [AQ ID= GQ2 POS=-18pt]?><? show [AQ ID= GQ5 POS= 12pt]?> Considering the
real-world situations where a customer's purchase choices in previous stages can influence …

This paper presents the multinomial logit model with repeated customer interactions. In each
period, the same customer selects a product from the assortment recommended in that …

In the fast-growing e-commerce industry, optimizing revenue management is of utmost
importance. Discrete choice models have widely been used to describe customer …

Discrete-choice models, such as Multinomial Logit, Probit, or Mixed-Logit, are widely used in
Marketing, Economics, and Operations Research: given a set of alternatives, the customer is …

By analyzing a large-scale transactions data set from a grocery chain, we observe that
customers arrive randomly at a non-stationary rate, they usually purchase multiple products …

In this article, we investigate the pricing optimization of firms selling multiple alternatives to
the market where consumer purchase behavior follows the linear nested stochastic choice …

Bundle promotions have become increasingly popular among online retailers due to their
potential in increasing revenue and profit. They take various forms depending on how …

The customer choice model plays a pivotal role in descriptive, predictive, and prescriptive
analysis in the retail sector. It provides insights into customer preferences and behaviors …

Considering the real-world situations where past purchases could influence future prices,
this research examines the multi-product price optimization problem under a multi-stage …