DSAIIRFeb 9, 2024

Assortment Planning with Sponsored Products

arXiv:2402.06158v1h-index: 6COCOON
Originality Synthesis-oriented
AI Analysis

This addresses a gap in retail assortment planning for online marketplaces, though it appears incremental by extending existing models to include sponsored products.

The paper tackles the problem of assortment planning in retail when sponsored products are present, formulating it as a combinatorial optimization task to optimize expected revenue with strategic placement.

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.

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