Comprehensive Research on Vegetable Market Data Analysis and Strategy Formulation

Abstract

In the current context of heightened public awareness of healthy eating, there is an increasing demand for high-quality fresh food products. This trend has brought fresh food supermarkets into the public spotlight. This study will primarily focus on vegetable products and aim to explore replenishment and pricing strategies for vegetable products under different conditions, to maximize the supermarket's revenue. The study will begin by checking whether the sales volume data for various vegetable categories conform to a normal distribution. After confirming normality, the Pearson correlation coefficient method will be used to analyze the relationships between sales volumes of different vegetable categories. Additionally, an ARIMA time series model will be employed to forecast vegetable sales data for the next seven days, and single-objective optimization will be utilized to obtain the best outcome. Finally, by constructing an optimal pricing and replenishment strategy hierarchy analysis system, decisions related to the sale of various vegetable products will be assessed and formulated.