Abstract
In the fresh supermarket, the supermarket will generally make replenishment plans according to the historical sales and demand of each commodity. There is a certain correlation between the sales volume of different commodities. It is crucial to deeply understand the distribution law and correlation relationship of commodity sales to optimize the replenishment strategy. In this paper, Spearman correlation coefficient analysis and entropy weight method-TOPSIS model are constructed to analyze the distribution law and correlation relationship of vegetable products and single product sales volume. First of all, this paper aggregates the sales volume of different vegetable categories and single items by month to get the average monthly sales volume. The average monthly sales data of each vegetable category was visualized, and the distribution pattern of each vegetable category was analyzed. The relation of vegetable categories was analyzed using Spearman's correlation coefficient. Then, for vegetable items, the TOPSIS model based on entropy weight method was constructed, and the 8 most representative items were found among 251 vegetable items. Finally, the average monthly sales data of the selected vegetable products was visualized, the distribution pattern of the sales of each vegetable product was analyzed and the correlation coefficient of Spearman was used to analyze the sales of different vegetables.
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