In order to enhance returns for supermarkets, we make a replenishment plan and a pricing scheme for vegetables. Firstly, based on the results of data exploration, the correlation between the sales volume of 6 categories of vegetables is calculated by Spearman correlation coefficient. Then, 246 vegetables are divided into high-sales category, medium-sales category and low-sales category by K-means Clustering. Next, based on past sales volume, ARIMA for analyzing time series is used to make replenishment plan for vegetables. Finally, according to the markup price of vegetables, the pricing scheme for vegetables is also constructed by ARIMA.

Yinhao He. Research on Replenishment and Pricing Strategies for Fresh Commodities in Supermarket. Academic Journal of Mathematical Sciences (2024) Vol. 5, Issue 1: 41-47. https://doi.org/10.25236/AJMS.2024.050107.

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