Research on Pricing and Replenishment Strategies for Supermarkets Based on Revenue Maximization

Zheng Lu; Yuanshuo Wang; Kefei Liu

doi:10.54097/3bfb1k54

Authors

Zheng Lu
Yuanshuo Wang
Kefei Liu

DOI:

https://doi.org/10.54097/3bfb1k54

Keywords:

Time Series, DPCCA, Pricing Strategy, ARIMA, Supply Chain.

Abstract

Based on the perspectives of time series and the supply chain, this paper investigates pricing and replenishment strategies for fresh supermarkets with the aim of maximizing profits. Through visual analysis, the vegetable category is thoroughly examined, revealing seasonal sales patterns. Furthermore, the correlation between different categories is explored using ADF tests and the DPCCA model. To optimize the replenishment quantity for the upcoming week, sales data from the past month is employed for nonlinear fitting. Assuming a fixed purchase price, the ARIMA model is utilized to forecast pricing, and optimal pricing and daily replenishment strategies for the next seven days are formulated through nonlinear programming methods.

Downloads

Download data is not yet available.

References

Zheng Yan, Huang Xing, Xiao Yujie. Research on Commodity Demand Forecasting Model Based on Time Series [J]. Journal of Chongqing University of Technology (Natural Science), 2019, 33(09): 217-222.

Cui Yunhao. Research on Sales Forecast of Fresh Vegetables Based on CNN-PSO-LSTM Combined Model [D]. Anhui Agricultural University, 2023.

Li Zhonglin, Li Tianyu, Liu Zeyu, et al. Catering Market Demand Forecasting Model Based on Time Series Analysis [J]. Scientific and Technological Innovation, 2023(10): 89-92.

Chen Yixuan. Optimization Strategy of Fresh Agricultural Products Supply Chain [J]. Business Culture, 2021(15): 28-29.

Li Jiaojiao, He Lili, Zheng Junhong. Inventory Cost Control Model of Fresh Agricultural Products Retailers Based on DDQN [J]. Intelligent Computer and Applications, 2023, 13(10): 60-64+72.

Luo Qin. Comparative Analysis of Vegetable Retail Price Fluctuations in Chongqing and Nationwide [J]. Northern Horticulture, 2024(02): 139-146.

She Zihang, Xu Jiahua, Yao Zhiyu, et al. Online Shopping Big Data Analysis Based on Pearson Correlation Coefficient - Taking the Transaction Records of Bairunju Flagship Store on Tmall as an Example [J]. Journal of Hanshan Normal University, 2020, 41(03): 16-22.

Yang Yanjun, Tang Di. Real-time Early Warning Research on Price Bubbles in China's Non-ferrous Metals Futures Market - Analysis Based on the Supremum ADF Test Method [J]. Price Theory and Practice, 2022, (12): 114-117+202.

Cao Jianing. Research and Application of Partial Cross-Correlation for Non-stationary Time Series [D]. Beijing Jiaotong University, 2022.

Li Lingling, Xin Hao. Application of Time Series Model ARIMA in Data Analysis [J]. Fujian Computer, 2024, 40(04): 25-29.