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Subscription-Based Inventory Planning for E-Grocery Retailing

Published 5 Apr 2024 in econ.GN and q-fin.EC | (2404.04097v1)

Abstract: The growing e-grocery sector faces challenges in becoming profitable due to heightened customer expectations and logistical complexities. This paper addresses the impact of uncertainty in customer demand on inventory planning for online grocery retailers. Given the perishable nature of grocery products and intense market competition, retailers must ensure product availability while minimising overstocking costs. We propose introducing subscription offers as a solution to mitigate these inventory challenges. Unlike existing literature focusing on uniform subscription models that may harm profitability, our approach considers the synergy between implementing product subscriptions and cost savings from improved inventory planning. We present a three-step procedure enabling retailers to understand uncertainty costs, quantify the value of gathering additional planning information, and implement profitability-enhancing subscription offers. This holistic approach ensures the development of sustainable subscription models in the e-grocery domain.

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References (28)
  1. Online grocery retail: revenue models and environmental impact. Management Science, 63(6):1781–1799.
  2. Lost-sales inventory theory: a review. European Journal of Operational Research, 215(1):1–13.
  3. A cost-based tool for the comparison of different e-grocery supply chain strategies. International Journal of Production Economics, 262:108899.
  4. Incentive schemes for attended home delivery services. Transportation Science, 40(3):327–341.
  5. Chen, F. (2001). Market segmentation, advanced demand information, and supply chain performance. Manufacturing & Service Operations Management, 3(1):53–67.
  6. On the performance of binomial and beta-binomial models of demand forecasting for multiple slow-moving inventory items. Computers & Operations Research, 35(3):893–905.
  7. Integrating replenishment decisions with advance demand information. Management Science, 47(10):1344–1360.
  8. Customer-order information, leadtimes, and inventories. Management Science, 41(10):1599–1607.
  9. Distribution in omnichannel grocery retailing: an analysis of concepts realized. Operations in an Omnichannel World, pages 283–310.
  10. Asymptotic optimality of order-up-to policies in lost sales inventory systems. Management Science, 55(3):404–420.
  11. The value of advance demand information in production/inventory systems. Annals of Operations Research, 126:135–157.
  12. Managing perishable and aging inventories: review and future research directions. Planning Production and Inventories in the Extended Enterprise: A State of the Art Handbook, Volume 1, pages 393–436.
  13. Data-driven customer acceptance for attended home delivery. OR Spectrum, pages 1–36.
  14. A data-driven distributionally robust newsvendor model with a wasserstein ambiguity set. Journal of the Operational Research Society, 72(8):1879–1897.
  15. Communication and inventory as substitutes in organizing production. The Scandinavian Journal of Economics, pages 275–289.
  16. Periodic review inventory-control for perishable products under service-level constraints. OR spectrum, 32:979–996.
  17. Nahmias, S. (1982). Perishable inventory theory: A review. Operations Research, 30(4):680–708.
  18. The newsvendor problem: review and directions for future research. European Journal of Operational Research, 213(2):361–374.
  19. E-grocery retailing: from value proposition to logistics strategy. International Journal of Logistics Research and Applications, 25(10):1381–1400.
  20. The optimality of (s, s) policies in the dynamic inventory problem. Optimal pricing, inflation, and the cost of price adjustment, pages 49–56.
  21. Offsetting omnichannel grocery fulfillment cost through advance ordering of perishables. International Journal of Production Economics, 239:108192.
  22. Inventory management and production planning and scheduling, volume 3. Wiley New York.
  23. Distributional regression for demand forecasting in e-grocery. European Journal of Operational Research, 294(3):831–842.
  24. On the value of subscription models for online grocery retail. European Journal of Operational Research, 294(3):874–894.
  25. Inventory management with advance demand information and flexible delivery. Management Science, 54(4):716–732.
  26. Dynamic stochastic inventory management in e-grocery retailing: the value of probabilistic information.
  27. A robust data-driven approach for the newsvendor problem with nonparametric information. Manufacturing & Service Operations Management, 24(1):504–523.
  28. Zipkin, P. H. (2000). Foundations of inventory management. McGraw-Hill Professional.

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