A spatial network analysis of vegetable prices based on a partial granger causality approach

Shen, Chen; Liang, Chaozhao; Wang, Ximeng; Han, Sunyoung; Zhang, Jing; Zhu, Mengjin

doi:10.3389/fphy.2022.1019643

Cited by 2 publications

(1 citation statement)

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“…The appearance of vegetable commodities in the supermarket will deteriorate with time [1][2][3]. The pricing of vegetables generally adopts the method of "cost plus pricing", and Shang Chao will also sell goods with discounts on goods that are damaged or deteriorated.…”

Section: Introductionmentioning

confidence: 99%

Study On Replenishment and Pricing Strategy of Fresh Merchants' Super Vegetables Based on Time Series Prediction and Optimization

Li,

Zhou,

Wang

et al. 2024

HSET

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Aiming at the problem of vegetable replenishment and pricing strategy in fresh merchant supermarket, this paper makes a replenishment plan based on categories by analyzing the distribution law and interrelationship of vegetable categories and individual product sales. and the total daily replenishment and pricing strategy in the coming week are obtained by using the time series prediction model, so as to maximize the profit. The research methods include data preprocessing, sales law analysis, interrelation analysis, linear regression model, time series prediction model and optimization model. The results show that mastering the distribution law and interrelationship of the sales volume of various categories and individual products of vegetables, and using the time series prediction model and optimization model to formulate the total replenishment and pricing strategy can maximize the profit.

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Section: Introductionmentioning

confidence: 99%