Managing Customer Search: Assortment Planning for a Subscription Box Service

Fernando Bernstein, Yuan Guo
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Abstract

Problem definition: This paper focuses on subscription box services in which a provider selects the assortment of products to include in the box by taking into account the customer’s preferences. Customers interested in purchasing a product choose between engaging in active search (i.e., visit physical stores) or subscribing to a box delivery service. We study the subscription box company’s problem of selecting the optimal contents of the box to maximize expected revenue (by driving demand from customers). Methodology/results: Because a product may be both available at a store and included in the box, the assortment in a box affects the set of stores that a customer would visit under active search and, therefore, the customer’s subscription decision. We model such interaction by applying a cross-nested logit framework that correlates the contents in the box with the products available at the stores. We find that the box should include a collection of popular subsets of the store products for customers that experience a relatively low or relatively high search cost. If a preview of the box is available, we find that, for customers with intermediate values of the search cost, it may be optimal to include a so-called utility loss leader, that is, a product with relatively low valuation, to entice customers to subscribe to the box delivery service and therefore increase the likelihood of a sale. We use rational expectations to model a setting in which a preview of the box is not available. In such cases, it is never optimal to include a utility loss leader in the box. Managerial implications: Our model captures the impact of product overlap across different shopping channels on customer choice and the subscription box company assortment decision. We derive insights on how the subscription service provider should determine the contents of the box in anticipation of the customer’s search behavior. We also examine the decision of offering exclusive products in addition to branded items. Supplemental Material: The online appendix is available at https://doi.org/10.1287/msom.2023.1204 .
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管理客户搜索:订阅箱服务的分类规划
问题定义:本文关注订阅盒服务,其中提供商通过考虑客户的偏好来选择要包含在订阅盒中的产品分类。对购买产品感兴趣的客户可以在主动搜索(即访问实体店)或订阅快递服务之间进行选择。我们研究了订阅盒公司选择最佳内容以最大化预期收入的问题(通过驱动客户需求)。方法/结果:因为产品可能在商店中可用,也可能包含在盒子中,所以盒子中的分类会影响客户在主动搜索下访问的商店集,从而影响客户的订阅决策。我们通过应用一个交叉嵌套的logit框架来为这种交互建模,该框架将盒子中的内容与商店中可用的产品关联起来。我们发现,对于搜索成本相对较低或较高的客户,该盒子应该包含商店产品的热门子集的集合。如果可以获得盒子的预览,我们发现,对于搜索成本处于中间值的客户来说,包含所谓的效用损失领导者(即估值相对较低的产品)可能是最优的,以吸引客户订阅盒子交付服务,从而增加销售的可能性。我们使用理性期望来模拟无法获得预览框的设置。在这种情况下,在盒子里加入公用事业损失引线从来都不是最佳选择。管理意义:我们的模型捕捉了不同购物渠道的产品重叠对客户选择和订阅箱公司分类决策的影响。我们得出了订阅服务提供商应该如何根据客户的搜索行为来确定盒子内容的见解。我们还研究了除了品牌商品外提供独家产品的决定。补充材料:在线附录可在https://doi.org/10.1287/msom.2023.1204上获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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