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Cross-Category Retailing Management: Substitution and Complementarity

Author

Listed:
  • Chenxu Ke

    (School of Management, Nanjing University, Nanjing 210093, China)

  • Ruxian Wang

    (Johns Hopkins Carey Business School, Johns Hopkins University, Baltimore, Maryland 21202)

Abstract

Problem definition : This paper studies pricing and assortment management for cross-category products, a common practice in brick-and-mortar retailing and e-tailing. Academic/practical relevance : We investigate the complementarity effects between the main products and the secondary products, in addition to the substitution effects for products in the same category. Methodology : In this paper, we develop a multistage sequential choice model, under which a consumer first chooses a main product and then selects a secondary product. The new model can alleviate the restriction of the independence of irrelevant alternatives property and allows more flexible substitution patterns and also takes into account complementarity effects. Results : We characterize the impact of the magnitude of complementarity effects on pricing and assortment management. For the problems that are hard to solve optimally, we propose simple heuristics and establish performance guarantee. In addition, we develop easy-to-implement estimation algorithms to calibrate the proposed sequential choice model by using sales data. Managerial implications : We show that ignoring or mis-specifying complementarity effects may lead to substantial losses. The methodologies on modeling, optimization, and estimation have potential to make an impact on cross-category retailing management.

Suggested Citation

  • Chenxu Ke & Ruxian Wang, 2022. "Cross-Category Retailing Management: Substitution and Complementarity," Manufacturing & Service Operations Management, INFORMS, vol. 24(2), pages 1128-1145, March.
  • Handle: RePEc:inm:ormsom:v:24:y:2022:i:2:p:1128-1145
    DOI: 10.1287/msom.2021.0968
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    References listed on IDEAS

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    3. Jing Liu & Gang Wang & Huimin Zhao & Mingfeng Lu & Lihua Huang & Gang Chen, 2025. "Beyond Complements and Substitutes: A Graph Neural Network Approach for Collaborative Retail Sales Forecasting," Information Systems Research, INFORMS, vol. 36(4), pages 1993-2016, December.
    4. Hongmin Li & Scott Webster, 2023. "Technical Note—Optimizing Risk-Balancing Return Under Discrete Choice Models," Operations Research, INFORMS, vol. 71(6), pages 2232-2244, November.

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