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.