Research on vegetable pricing and replenishment based on value loss pricing and ARIMA model

Due to their short shelf life and difficulty in preservation, the sales strategy of vegetable products is closely related to the profits of merchants. This article studies the pricing and replenishment strategies of vegetable products in supermarkets. By analyzing the monthly changes and annual proportions of sales for each category, it was found that the sales of anthophyllum were the highest, while those of cauliflower were the lowest. The richness of products is positively correlated with total sales volume, and some categories have overlapping sales peaks. Introducing the Shannon Diversity Index to analyze the distribution pattern of sales volume. Establish an ARIMA time series model to predict sales for the next week and develop a daily replenishment strategy. Build a pricing model based on value loss and optimize the strategy using tail pricing method. At the same time, in order to maximize the benefits of supermarkets, a dual shelf model is established to implement promotional pricing for products with reduced freshness.