Be the Buyer-Leveraging the Wisdom of the Crowd in E-Commerce Assortment Planning

成果类型:
Article
署名作者:
Nageswaran, Leela; Kan, Yu (Rain); Ananthakrishnan, Uttara M.
署名单位:
University of Washington; University of Washington Seattle; Indiana University System; IU Kelley School of Business; Indiana University Bloomington; University of Washington; University of Washington Seattle
刊物名称:
MANAGEMENT SCIENCE
ISSN/ISSBN:
0025-1909
DOI:
10.1287/mnsc.2023.01928
发表日期:
2026
关键词:
crowdsourcing retail operations empirical operations subscription platforms
摘要:
E-commerce retailers often need to make inventory decisions for new products under high uncertainty. We study a new business practice of using crowdvoting, wherein a retailer first seeks input from customers on the desirability of the product and then bases the purchasing decision on their votes. We collaborated with a subscription-based apparel rental platform and obtained a proprietary data set comprising the platform's products and users. We leverage the staggered introduction of crowdvoting in different product categories to identify whether and, if so, by how much the adoption of crowdvoting improves business performance. We find that, after the adoption, both short- and long-term rental outcomes increase. We also uncover several mechanisms that drive this improvement. We find that the platform uses the wisdom of the crowd to make better inventory depth decisions, and the products are inherently a better match with users' tastes. Moreover, we find that brands bought through crowdvoting are more likely to be newer brands compared with items that are bought solely through expert input. In other words, the diversity of the brands carried on the platform also improves. We also find that voters become more engaged with the platform: they post more reviews and are less likely to cancel their subscription after participating in crowdvoting. Our results have important implications for retailers who may be considering similar crowd-based strategies to improve their decision making.