Relationship analysis and price prediction of supermarket vegetable based on ARIMA model
Pages 761 - 766
Abstract
In the fresh supermarket, the general shelf life of vegetable commodities is relatively short, and the supermarket usually replenishes the stock every day according to the historical sales and demand of each commodity. In this paper, the optimization of pricing and replenishment decision of supermarket vegetables is studied and analyzed. First, we study the distribution of commodity sales and the trend of sales over time, explore the relationship between different vegetable types by using Pearson coefficient, and then predict the future price trend by using the basic autoregressive integral moving average model (ARIMA).
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- Relationship analysis and price prediction of supermarket vegetable based on ARIMA model
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Relationship analysis and price forecasting of supermarket vegetables based on ARIMA models
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Published In
December 2023
917 pages
ISBN:9798400716669
DOI:10.1145/3659211
Copyright © 2023 ACM.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 29 May 2024
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- Refereed limited
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BDEIM 2023
BDEIM 2023: 2023 4th International Conference on Big Data Economy and Information Management
December 8 - 10, 2023
Zhengzhou, China
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