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Data-Driven Fresh Food Supply Chain Management and Market Competitiveness Research

Year: 2024

Type: article

Abstract: Vegetable commodities have the characteristics of short freshness period, variety, and special purchase time. Therefore, it is particularly important to predict and manage the purchase and shipment of vegetable commodities. Good management can significantly improve the profits of supermarkets and save costs. For the relationship between vegetable categories, we studied the seasonal distribution of sales volume of each category of vegetables based on Spearman correlation analysis, and then studied the cyclical pattern of vegetables based on the ARIMA algorithm model with a sliding window of seven days. We also predicted the sales trend of vegetables and predicted the cost data based on the LSTM model, and predicted the vegetable prices and inventory for the next seven days based on the particle swarm optimization algorithm, obtaining the optimal results.

Source: Highlights in Science Engineering and Technology

DOI: 10.54097/8cr1qb84

Authors: Qiliang Ren, Yifan Kang, Wei Zhang

Language: English

Topic: Supply Chain and Inventory Management

Subfield: Management Information Systems

Field: Business, Management and Accounting

Domain: Social Sciences

SDG: Zero hunger

Open Access status: diamond

OpenAlex ID: W4403986571

FWCI:

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Related to: 10