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Spatial pricing and product allocation in online retailing

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  • Mengying Xue
  • Long He

Abstract

Spatial pricing means a retailer price discriminates its customers based on their geographic locations. In this article, we study how an online retailer should jointly allocate multiple products and facilitate spatial price discrimination to maximize profits. When deciding between a centralized product allocation ((i.e., different products are allocated to the same fulfillment center) and decentralized product allocation (ie, different products are allocated to different fulfillment centers), the retailer faces the tradeoff between shipment pooling (ie, shipping multiple products in one package), and demand localization (ie, stocking products to satisfy local demand) based on its understanding of customers' product valuations. In our basic model, we consider two widely used spatial pricing policies: free on board (FOB) pricing that charges each customer the exact amount of shipping cost, and uniform delivered (UD) pricing that provides free shipping. We propose a stylized model and find that centralized product allocation is preferred when demand localization effect is relatively low or shipment pooling benefit is relatively high under both spatial pricing policies. Moreover, centralized product allocation is more preferred under the FOB pricing which encourages the purchase of virtual bundles of multiple products. Furthermore, we respectively extend the UD and FOB pricing policies to flat rate shipping (ie, the firm charges a constant shipping fee for each purchase), and linear rate shipping (ie, the firm sets the shipping fee as a fixed proportion of firm's actual fulfillment costs). While similar observations from the basic model still hold, we find the firm can improve its profit by sharing the fulfillment cost with its customers via the flat rate or linear rate shipping fee structure.

Suggested Citation

  • Mengying Xue & Long He, 2020. "Spatial pricing and product allocation in online retailing," Naval Research Logistics (NRL), John Wiley & Sons, vol. 67(8), pages 670-684, December.
    • Handle: RePEc:wly:navres:v:67:y:2020:i:8:p:670-684
    DOI: 10.1002/nav.21945
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    References listed on IDEAS

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    1. Jiu, Song & Wang, Dan & Ma, Zujun, 2024. "Benders decomposition for robust distribution network design and operations in online retailing," European Journal of Operational Research, Elsevier, vol. 315(3), pages 1069-1082.

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