Abstract
With the times, sound business decisions are crucial for superstores. Multiple metrics such as replenishment and pricing decisions, future sales volume expectations, etc. tend to have an important place in operational decisions. Firstly, data visualisation is performed to study the distribution pattern of category sales volume and find outliers. Second, the relationship between categories and categories, and between individual products and individual products is analysed by Spearman's correlation coefficient. Then the connection between category and single product is described by grey correlation analysis, and the sample single product is classified by clustering, so as to describe the distribution law of single product. At the same time, the Fourier transform was used to find the existence of cyclical changes in each category of vegetables, which further describes the sales distribution of the categories.
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