Retail store operations: Literature review and research directions

S Mou, DJ Robb, N DeHoratius - European Journal of Operational …, 2018 - Elsevier
In the digital age, retail store operations face a variety of novel challenges and complexities.
We review 255 papers on retail store operations from 32 operations research, management …

A review of choice-based revenue management: Theory and methods

AK Strauss, R Klein, C Steinhardt - European journal of operational …, 2018 - Elsevier
Over the last fifteen years, the theory and practice of revenue management has experienced
significant developments due to the need to incorporate customer choice behavior. In this …

A nonparametric approach to modeling choice with limited data

VF Farias, S Jagabathula, D Shah - Management science, 2013 - pubsonline.informs.org
Choice models today are ubiquitous across a range of applications in operations and
marketing. Real-world implementations of many of these models face the formidable …

Assortment optimization under the multinomial logit model with random choice parameters

P Rusmevichientong, D Shmoys… - Production and …, 2014 - journals.sagepub.com
We consider assortment optimization problems under the multinomial logit model, where the
parameters of the choice model are random. The randomness in the choice model …

Real-time optimization of personalized assortments

N Golrezaei, H Nazerzadeh… - Management …, 2014 - pubsonline.informs.org
Motivated by the availability of real-time data on customer characteristics, we consider the
problem of personalizing the assortment of products for each arriving customer. Using actual …

Optimal dynamic assortment planning with demand learning

D Sauré, A Zeevi - Manufacturing & Service Operations …, 2013 - pubsonline.informs.org
We study a family of stylized assortment planning problems, where arriving customers make
purchase decisions among offered products based on maximizing their utility. Given limited …

Dynamic assortment optimization for reusable products with random usage durations

P Rusmevichientong, M Sumida… - Management …, 2020 - pubsonline.informs.org
We consider dynamic assortment problems with reusable products, in which each arriving
customer chooses a product within an offered assortment, uses the product for a random …

A data-driven approach to personalized bundle pricing and recommendation

M Ettl, P Harsha, A Papush… - Manufacturing & Service …, 2020 - pubsonline.informs.org
Problem definition: The growing trend in online shopping has sparked the development of
increasingly more sophisticated product recommendation systems. We construct a model …

The approximability of assortment optimization under ranking preferences

A Aouad, V Farias, R Levi, D Segev - Operations Research, 2018 - pubsonline.informs.org
The main contribution of this paper is to provide best-possible approximability bounds for
assortment planning under a general choice model, where customer choices are modeled …

Near-optimal bayesian online assortment of reusable resources

Y Feng, R Niazadeh, A Saberi - … of the 23rd ACM Conference on …, 2022 - dl.acm.org
Motivated by the applications of rental services in e-commerce, we consider revenue
maximization in online assortment of reusable resources for a stream of arriving consumers …