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International Journal of New Developments in Engineering and Society, 2023, 7(9); doi: 10.25236/IJNDES.2023.070901.

Vegetable Sales and Pricing Correlations: Insights from a RANSAC Regression Analysis

Author(s)

Fengyuan Yan, Zixian Guo, Yichao Yu, Chun Zhang, Xiaoyan Liu

Corresponding Author:
Xiaoyan Liu
Affiliation(s)

Shandong University of Science and Technology, Jinan, 250031, China

Abstract

The shelf life of general vegetable products in daily life is relatively short. As the sales time increases, the quality of vegetable products deteriorates. Most varieties cannot even be sold overnight. How to replenish and price the goods reasonably and timely is difficult. Extremely important and difficult. This paper develops a reasonable replenishment and pricing strategy by establishing a mathematical model and using planning methods. Using the collected sales volume and cost-plus pricing of vegetable commodities, RANSAC regression was performed to obtain the regression equation of the total sales volume of each vegetable category on the cost-plus pricing. Finally, the law of total sales volume and cost-plus pricing of each vegetable category was analyzed, and a set of equations with insignificant negative correlations was summarized.

Keywords

Vegetable Sales, Pricing Correlation, Regression Analysis, sales volume, cost-plus pricing

Cite This Paper

Fengyuan Yan, Zixian Guo, Yichao Yu, Chun Zhang, Xiaoyan Liu. Vegetable Sales and Pricing Correlations: Insights from a RANSAC Regression Analysis. International Journal of New Developments in Engineering and Society (2023) Vol.7, Issue 9: 1-7. https://doi.org/10.25236/IJNDES.2023.070901.

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