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

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Study on the Pricing and Replenishment Strategies for Vegetable Commodities

Authors
Qinfa Zhuang1, Kangbo Pei2, Kaihua Wen3, Fang He4, *
1Business School, Shenzhen Technology University, Shenzhen, 518118, China
2College of Health Science and Environmental Engineering, Shenzhen Technology University, Shenzhen, 518118, China
3Future Technology School, Shenzhen Technology University, Shenzhen, 518118, China
4College of Big Data and Internet, Shenzhen Technology University, Shenzhen, 518118, China
*Corresponding author. Email: hefang@sztu.edu.cn
Corresponding Author
Fang He
Available Online 26 June 2025.
DOI
10.2991/978-94-6463-770-0_63How to use a DOI?
Keywords
Seasonal Autoregressive Integrated Moving Average; Multiple Linear Regression; Correlation Analysis; Time Series Analysis
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.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 3rd International Conference on Digital Economy and Management Science (CDEMS 2025)
Series
Advances in Economics, Business and Management Research
Publication Date
26 June 2025
ISBN
978-94-6463-770-0
ISSN
2352-5428
DOI
10.2991/978-94-6463-770-0_63How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Qinfa Zhuang
AU  - Kangbo Pei
AU  - Kaihua Wen
AU  - Fang He
PY  - 2025
DA  - 2025/06/26
TI  - Study on the Pricing and Replenishment Strategies for Vegetable Commodities
BT  - Proceedings of the 2025 3rd International Conference on Digital Economy and Management Science (CDEMS 2025)
PB  - Atlantis Press
SP  - 560
EP  - 571
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-770-0_63
DO  - 10.2991/978-94-6463-770-0_63
ID  - Zhuang2025
ER  -