An Exact Method for Assortment Optimization under the Nested Logit Model

We study the problem of finding an optimal assortment of products maximizing the expected revenue, in which customer preferences are modeled using a Nested Logit choice model. This problem is known to be polynomially solvable in a specific case and NP-har

ALFANDARI, L., HASSANZADEH, A. and LJUBIC, I. (2020). An Exact Method for Assortment Optimization under the Nested Logit Model. ESSEC Business School.