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Study on the Pricing and Replenishment Strategies for Vegetable Commodities

In: Proceedings of the 2025 3rd International Conference on Digital Economy and Management Science (CDEMS 2025)

Author

Listed:
  • Qinfa Zhuang

    (Shenzhen Technology University, Business School)

  • Kangbo Pei

    (College of Health Science and Environmental Engineering, Shenzhen Technology University)

  • Kaihua Wen

    (Shenzhen Technology University, Future Technology School)

  • Fang He

    (Shenzhen Technology University, College of Big Data and Internet)

Abstract

With the development of the economy and increased health awareness, the demand for vegetables continues to rise. Addressing the issue of short shelf life and price fluctuations in fresh supermarkets, this paper proposes a comprehensive optimization model aimed at optimizing inventory management, reducing food waste, and maximizing supermarket revenue through scientific pricing and replenishment strategies. Initially, correlation and time series analyses are conducted to establish a multiple linear regression model and a Seasonal Autoregressive Integrated Moving Average forecasting model. Subsequently, profitability is assessed using profit contribution rates, and profitable vegetable products are selected. Finally, optimal replenishment and pricing strategies are proposed using linear programming. Rational pricing and replenishment strategies not only enhance supermarket operational efficiency but also contribute to the sustainable development of the vegetable supply chain.

Suggested Citation

  • Qinfa Zhuang & Kangbo Pei & Kaihua Wen & Fang He, 2025. "Study on the Pricing and Replenishment Strategies for Vegetable Commodities," Advances in Economics, Business and Management Research, in: Wenke Zang & Chunping Xia (ed.), Proceedings of the 2025 3rd International Conference on Digital Economy and Management Science (CDEMS 2025), pages 560-571, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-770-0_63
    DOI: 10.2991/978-94-6463-770-0_63
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