Research on Vegetable Replenishment and Pricing Based on Cost-Plus Pricing Method and ARIMA Model

Replenishment and pricing of vegetables are the focus of commercial supermarkets. Accurately predicting the future vegetable demand and pricing of commercial supermarkets is of great significance for commercial supermarkets to increase revenue. To make accurate predictions and maximize profits, this paper predicts the mean and variance of the demand and pricing of various vegetable categories in the future based on the cost-plus pricing method and the ARIMA time series model, and obtains the best demand and pricing for the next seven days. The results show that the model has passed the residual independent test and normal test, and R2 is greater than 0.7, which has a good fitting effect. The model is suitable for the prediction of vegetable replenishment and pricing, and can provide a reference for vegetable management in supermarkets.