Assortment Planning with Sponsored Products

Fuente: arXiv
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Autores principales: Tang, Shaojie, Cai, Shuzhang, Yuan, Jing, Han, Kai
Formato: Preprint
Publicado: 2024
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author Tang, Shaojie
Cai, Shuzhang
Yuan, Jing
Han, Kai
author_facet Tang, Shaojie
Cai, Shuzhang
Yuan, Jing
Han, Kai
contents In the rapidly evolving landscape of retail, assortment planning plays a crucial role in determining the success of a business. With the rise of sponsored products and their increasing prominence in online marketplaces, retailers face new challenges in effectively managing their product assortment in the presence of sponsored products. Remarkably, previous research in assortment planning largely overlooks the existence of sponsored products and their potential impact on overall recommendation effectiveness. Instead, they commonly make the simplifying assumption that all products are either organic or non-sponsored. This research gap underscores the necessity for a more thorough investigation of the assortment planning challenge when sponsored products are in play. We formulate the assortment planning problem in the presence of sponsored products as a combinatorial optimization task. The ultimate objective is to compute an assortment plan that optimizes expected revenue while considering the specific requirements of placing sponsored products strategically.
format Preprint
id arxiv_https___arxiv_org_abs_2402_06158
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Assortment Planning with Sponsored Products
Tang, Shaojie
Cai, Shuzhang
Yuan, Jing
Han, Kai
Data Structures and Algorithms
Artificial Intelligence
Information Retrieval
In the rapidly evolving landscape of retail, assortment planning plays a crucial role in determining the success of a business. With the rise of sponsored products and their increasing prominence in online marketplaces, retailers face new challenges in effectively managing their product assortment in the presence of sponsored products. Remarkably, previous research in assortment planning largely overlooks the existence of sponsored products and their potential impact on overall recommendation effectiveness. Instead, they commonly make the simplifying assumption that all products are either organic or non-sponsored. This research gap underscores the necessity for a more thorough investigation of the assortment planning challenge when sponsored products are in play. We formulate the assortment planning problem in the presence of sponsored products as a combinatorial optimization task. The ultimate objective is to compute an assortment plan that optimizes expected revenue while considering the specific requirements of placing sponsored products strategically.
title Assortment Planning with Sponsored Products
topic Data Structures and Algorithms
Artificial Intelligence
Information Retrieval
url https://arxiv.org/abs/2402.06158