The first update of ideas and code for automatic pricing and replenishment decision-making of vegetable commodities in Mathematical Modeling C in 2023

Statement: 2023 National Mathematical Modeling Competition_2023 National Mathematical Modeling Competition Blog-CSDN Blog This column and this column are the same column

Question  1  There may be certain correlations between different categories or individual products of vegetable products. Please analyze the various types of vegetables. 

Distribution rules and interrelationships of category and single product sales. 

For each vegetable category and single product, the sales statistics, average, standard deviation, maximum and minimum values ​​can be calculated. Correlation analysis can be used to explore the sales relationship between different vegetable categories and single products. Pearson correlation coefficient.

Use data visualization tools, such as scatter plots, box plots, etc., to show the distribution and correlation of sales.

Statistical analysis: Use statistical methods to calculate basic statistical characteristics of sales, such as mean, standard deviation, median, etc.

Correlation analysis: Use Pearson correlation coefficient or other correlation indicators to evaluate the sales relationship between different vegetable categories and single products.

Data visualization: Use visualization tools such as scatter plots and box plots to display the distribution and correlation of sales.

Question  Consider that supermarkets make replenishment plans by category. Please analyze the total sales volume and cost mark-up of each vegetable category. 

The relationship between pricing and the total daily replenishment volume and pricing strategy of each vegetable category in the next week (July 1-7, 2023) are given. 

Maximize the profits of supermarkets. 

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