Research on the Modeling of Automatic Pricing and Replenishment Strategies for Perishable Goods with Time-Varying Deterioration Rates

Research on the Modeling of Automatic Pricing and Replenishment Strategies for Perishable Goods with Time-Varying Deterioration Rates

This paper focuses on the modeling of automatic pricing and replenishment strategies for perishable products with time-varying deterioration rates based on an improved SVR-LSTM-ARIMA hybrid model. This research aims to support supermarkets in planning future strategies, optimizing category structure...

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Bibliographic Details
Main Authors: Aihua Gu, Zhongzhen Yan, Xixi Zhang, Yongsheng Xiang
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Axioms
Subjects:
data mining and analysis
support vector machines
neural networks
supermarket sales strategy
cost-plus pricing
Online Access:https://www.mdpi.com/2075-1680/13/1/62

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