Replenishment Forecasting of Vegetable Commodities Based on Time Series Modeling

Abstract

The pricing and replenishment strategy of vegetable commodities affects the normal operation and economic returns of the superstore, if a reasonable automatic pricing and replenishment strategy system model of vegetable commodities can be developed, on the one hand, it can facilitate the merchants to carry out a reasonable management of the purchase and sale of vegetable commodities to maximize the economic benefits. On the other hand, merchants can provide a reasonable mix of vegetable products for customers to choose. In this paper, we first use the Apriori algorithm in the principle of correlation analysis to calculate the correlation relationship between different categories of commodities and single products under a certain confidence level. Then, we analyze the principle of cost-plus pricing method and derive the total sales and cost-plus pricing factors such as profit margin and cost relationship. Finally, a time series algorithm model is used to predict the total daily replenishment for the coming week.