Joint Assortment Optimization and Customization Under a Mixture of Multinomial Logit Models: On the Value of Personalized Assortments

Omar El Housni
Corresponding Author
Omar El Housni
[email protected]
https://orcid.org/0000-0003-3097-8571
School of Operations Research and Information Engineering, Cornell Tech, New York, New York 10044
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Huseyin Topaloglu
Huseyin Topaloglu
[email protected]
https://orcid.org/0000-0002-3049-6719
School of Operations Research and Information Engineering, Cornell Tech, New York, New York 10044
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Corresponding Author

Omar El Housni

[email protected]

https://orcid.org/0000-0003-3097-8571

School of Operations Research and Information Engineering, Cornell Tech, New York, New York 10044

Search for more papers by this author

,

Huseyin Topaloglu

Huseyin Topaloglu

[email protected]

https://orcid.org/0000-0002-3049-6719

School of Operations Research and Information Engineering, Cornell Tech, New York, New York 10044

Search for more papers by this author

Published Online:26 Oct 2022https://doi.org/10.1287/opre.2022.2384

Supplemental Material

opre.2022.2384.sm1.pdf

cover image Operations Research

Volume 71, Issue 4

July-August 2023

Pages iii-vi, 1021-1439, C2-C3

Article Information

Supplemental Material

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Received:April 20, 2021
Accepted:August 24, 2022
Published Online:October 26, 2022

Copyright © 2022, INFORMS

Cite as

Omar El Housni, Huseyin Topaloglu (2022) Joint Assortment Optimization and Customization Under a Mixture of Multinomial Logit Models: On the Value of Personalized Assortments. Operations Research 71(4):1197-1215.

https://doi.org/10.1287/opre.2022.2384

Keywords

Acknowledgments

The authors thank the area editor, associate editor, and two anonymous referees whose comments helped us significantly strengthen both the technical and computational results.