Pricing And Replenishment Strategies for Vegetable Products Based on Planning Models

Guannan Liu; Jingbo  Yang; Wanbo Cai

doi:10.54097/5csx9356

Authors

Guannan Liu
Jingbo Yang
Wanbo Cai

DOI:

https://doi.org/10.54097/5csx9356

Keywords:

Pricing and replenishment strategies, correlation analysis, system clustering, BP neural network, planning model.

Abstract

Reasonable pricing and replenishment strategies for vegetable products are crucial for maximizing profits for fresh food supermarkets. This article mainly studies the relationship between the sales volume and sales unit price of vegetable products and time, establishes a pricing and replenishment decision model based on BP neural network and mathematical programming, and provides strategies to meet the requirements of maximizing the interests of supermarkets.

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