Research on optimal pricing and replenishment strategy of vegetable commodities

Abstract

The vegetables themselves have the characteristics of short fresh-keeping period, large price fluctuation and seasonal strength. Our country at present researches the industrial chain of vegetable commodities mainly from the production aspect to study the law of vegetable pricing for the production and income insurance that guarantee farmers' rights and interests or for the purchase buyer. And supermarket operators need to according to the historical sales data of each commodity, in the case of not knowing the specific single product and purchase price to make the replenishment and pricing decision of each vegetable category, so the research on the pricing and replenishment strategy of vegetable commodities has important practical significance. From the perspective of supermarket operators, based on ARIMA time series forecasting model and price elasticity model, this paper puts forward the optimal pricing strategy for vegetable commodities, and then establishes a single objective programming model to formulate replenishment strategy and optimize it with particle swarm optimization algorithm, so as to obtain the optimal replenishment strategy. The following conclusions are obtained: the optimal unit price is the price elasticity coefficient multiplied by the change of sales volume plus the unit price at the previous moment; The replenishment strategy should consider the influence of unit price on sales volume, and make multiple tradeoffs so as to maximize the profit of supermarket. It is of great significance for the operation and development of the enterprise to help the supermarket to maximize its profit and improve customers' satisfaction at the same time.