Assortment Optimization Under the Multivariate MNL Model
نویسندگان
چکیده
منابع مشابه
Assortment Optimization Under the Mallows model
A common problem that arises in many applications in practice is to determine the subset (or 3 assortment) of items to offer to a user. We focus on the concrete setting in which a retailer must 4 decide the subset of products to offer to each arriving customer (either online or in a brick-and-mortar 5 store). The retailer chooses the subset from a large universe U of products with the objective...
متن کاملAssortment Optimization under the General Luce Model
This paper studies the assortment optimization problem under the General Luce Model (GLM), a discrete choice introduced by Echenique and Saito (2015) that generalizes the standard multinomial logit model (MNL). The GLM does not satisfy the Independence of Irrelevant Alternatives (IIA) property but it ensures that each product has an intrinsic utility and uses a dominance relation between produc...
متن کاملAssortment Optimization Under the Mallows model
We consider the assortment optimization problem when customer preferences follow a mixture of Mallows distributions. The assortment optimization problem focuses on determining the revenue/profit maximizing subset of products from a large universe of products; it is an important decision that is commonly faced by retailers in determining what to offer their customers. There are two key challenge...
متن کاملAssortment Optimization under a Single Transition Model
In this paper, we consider a Markov chain choice model with single transition. In this model, customers arrive at each product with a certain probability. If the arrived product is unavailable, then the seller can recommend a subset of available products to the customer and the customer will purchase one of the recommended products or choose not to purchase with certain transition probabilities...
متن کاملAssortment Optimization Under Variants of the Nested Logit Model
We study a class of assortment optimization problems where customers choose among the offered products according to the nested logit model. There is a fixed revenue associated with each product. The objective is to find an assortment of products to offer so as to maximize the expected revenue per customer. We show that the problem is polynomially solvable when the nest dissimilarity parameters ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Social Science Research Network
سال: 2022
ISSN: ['1556-5068']
DOI: https://doi.org/10.2139/ssrn.4233712