Replenishment and Pricing Strategies for Vegetable Commodities Based on Time Series

Abstract

Due to the short freshness period of vegetables, to ensure the freshness of vegetables, commodities should be stocked in superstores to facilitate replenishment pricing. so a reasonable replenishment strategy is crucial to more effectively help superstores around the world to manage inventory, improve sales efficiency, optimize business management and maximize revenue. Based on this, this paper determines the future replenishment as well as pricing strategies of the commodities using the pricing, wastage, and replenishment of vegetables in a superstore for the last three years Goods Sample This data is based on a time series study. Wavelet analysis was used to study the cyclical regularity relationship, and based on this relationship, the trend relationship between the total sales volume of each vegetable category and the cost-plus pricing was analyzed, and the time-series model was used to predict the total daily replenishment volume of each vegetable category in the coming week, as well as the pricing of a single item, and TOPSIS-entropy weighting was used to assign the weights, and the predicted pricing of a single item was added to the price of a single item. The results achieve short-term price forecasting of vegetable commodities in the presence of low-price volatility, thus maximizing the superstore revenue.