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Regression Analysis and Optimization Design of Automatic Pricing Replenishment Decision for Vegetable Items

Author(s)

Chen Liling1, Lan Xiangru2, Zhu Minmin2, Sun Jiehua2,*, Wang Chunli2,*

Affiliation(s)

1School of Tourism Data, Guilin Institute of Tourism, Guilin, China 2School of Tourism Ecology and Environment, Guilin Institute of Tourism, Guilin, China *Corresponding author

Abstract

Automatic pricing and replenishment decision-making for vegetable goods, Firstly, using linear regression model to optimize the pricing strategy in the next seven days, secondly, constructing mathematical model to synthesize the pricing strategy that has been derived to formulate a more comprehensive sales strategy, Combined with the spsspro software to solve the solution to achieve the maximization of the interests of the superstore. This study aims to develop a reasonable pricing replenishment strategy for supermarkets. By optimizing pricing and replenishment strategies, supermarkets can improve sales efficiency and profit maximization, reduce costs and risks, and promote digital transformation and intelligent management.

Keywords

Vegetable Items; Optimization Model; Automatic Pricing and Replenishment Decision; Regression Analysis; Mathematical Model; Spspro

References

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