Due to the resource constraints of the factors of production (land, capital, capacity, etc.), the
firms have to rationalize the assortment of products that they deal in. In such a situation, a …

Problem definition: A major task in retail operations is to optimize the assortments exhibited
to consumers. To this end, retailers need to understand customers' preferences for different …

Abstract The New Distribution Capability and new retailing platforms will enable airlines to
respond to shopping requests with bundled offers of flights and ancillary services …

We present an integrated optimization approach to parameter estimation for discrete choice
demand models where data for one or more choice alternatives are censored. We employ a …

Market size, measured by the number of people who are interested in products from the
same category, may be largely influenced by assortment planning and pricing decisions …

We propose an approach to modeling and estimating discrete choice demand that allows for
a large number of zero sale observations, rich unobserved heterogeneity, and endogenous …

In B2B markets, value-based pricing and selling has become an important alternative to
discounting. This study outlines a modeling method that uses customer data (product offers …

In this study, we consider the problem of estimating demand functions using historical sales
data. In particular, we study how using aggregate data may result in bias in such …

It is critical to understand customer preferences and estimate customer choice among a
firm's portfolio of offerings when the prices of those offerings vary over time and sometimes …

Expected demand is an important measure for a retailer to decide whether to open a new
store at a candidate location. Retail chains need to understand the store choice and …