Research on Vegetable Pricing and Replenishment Strategies Based on GM(1,1)Model and Genetic Algorithm
Reasonably ordering and selling vegetable products is an important research topic for businesses to achieve maximum revenue.Calculating the Spearman correlation coefficient,it was found that there is a strong positive correlation between the sales volume of various categories of vegetables.Using Gaussian function for regression fitting,it was found that the total sales volume of various categories of vegetables is roughly negatively correlated with the sales price.Using the GM(1,1)model to predict the pricing and sales volume of various vegetable categories in the next 7 days,and constructing a business profit optimization model based on multi-objective programming and genetic algorithm to study and provide the single item replenishment volume and pricing strategy of businesses in the next 7 days.
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