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Managing Customer Search: Assortment Planning for a Subscription Box Service

Publication ,  Journal Article
Bernstein, F; Guo, Y
Published in: Manufacturing and Service Operations Management
September 1, 2023

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.

Duke Scholars

Published In

Manufacturing and Service Operations Management

DOI

EISSN

1526-5498

ISSN

1523-4614

Publication Date

September 1, 2023

Volume

25

Issue

5

Start / End Page

1623 / 1642

Related Subject Headings

  • Operations Research
  • 4901 Applied mathematics
  • 3509 Transportation, logistics and supply chains
  • 1505 Marketing
  • 1503 Business and Management
  • 0102 Applied Mathematics
 

Citation

APA
Chicago
ICMJE
MLA
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Bernstein, F., & Guo, Y. (2023). Managing Customer Search: Assortment Planning for a Subscription Box Service. Manufacturing and Service Operations Management, 25(5), 1623–1642. https://doi.org/10.1287/msom.2023.1204
Bernstein, F., and Y. Guo. “Managing Customer Search: Assortment Planning for a Subscription Box Service.” Manufacturing and Service Operations Management 25, no. 5 (September 1, 2023): 1623–42. https://doi.org/10.1287/msom.2023.1204.
Bernstein F, Guo Y. Managing Customer Search: Assortment Planning for a Subscription Box Service. Manufacturing and Service Operations Management. 2023 Sep 1;25(5):1623–42.
Bernstein, F., and Y. Guo. “Managing Customer Search: Assortment Planning for a Subscription Box Service.” Manufacturing and Service Operations Management, vol. 25, no. 5, Sept. 2023, pp. 1623–42. Scopus, doi:10.1287/msom.2023.1204.
Bernstein F, Guo Y. Managing Customer Search: Assortment Planning for a Subscription Box Service. Manufacturing and Service Operations Management. 2023 Sep 1;25(5):1623–1642.

Published In

Manufacturing and Service Operations Management

DOI

EISSN

1526-5498

ISSN

1523-4614

Publication Date

September 1, 2023

Volume

25

Issue

5

Start / End Page

1623 / 1642

Related Subject Headings

  • Operations Research
  • 4901 Applied mathematics
  • 3509 Transportation, logistics and supply chains
  • 1505 Marketing
  • 1503 Business and Management
  • 0102 Applied Mathematics