Author(s)

JingYao Wang^*, YiXuan Yang, LinSen Song

Affiliation(s)

School of Insurance and Economics, University of International Business and Economics, Beijing 100029, China.

Corresponding Author

JingYao Wang

ABSTRACT

In fresh supermarkets, the shelf life of vegetable products is often relatively short, and the quality of the product always turns worse over time. In order to achieve the minimum loss and maximum profit, it is crucial for supermarkets to make reasonable replenishment and pricing decisions for the sold vegetable products.Traditional pricing and replenishment strategies are inefficient, making it difficult to accurately control costs and consuming a significant amount of manpower.This article comprehensively processes and analyzes the sales data of a supermarket, establishes a sales price relationship daily replenishment pricing model, and successfully predicts the daily replenishment volume and pricing of the target date. It is hoped to provide a systematic daily replenishment and pricing strategy for supermarket in the sales of fresh vegetables and vegetables, and help supermarket achieve maximum self-interest.

KEYWORDS

Daily replenishment pricing model; Demand price theorem; Multiple regression; Binding item

CITE THIS PAPER

JingYao Wang, YiXuan Yang, LinSen Song. Automatic pricing and replenishment model of vegetable products based on multiple linear regression. World Journal of Economics and Business Research. 2025, 3(1): 62-69. DOI: https://doi.org/10.61784/wjebr3036.

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