Big Data Empowering Supply Chain Management: From Theory to Practice

Minghui Chen
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Minghui Chen: Shenzhen Shemanquban Supply Chain Co., Ltd., Guangdong 518000, China

Frontiers in Management Science, 2025, vol. 4, issue 3, 35-42

Abstract: With the rapid development of the digital economy, big data technology has brought unprecedented opportunities for supply chain management. This paper takes Shenzhen Shemanquban Supply Chain Co., Ltd. as a case study to explore the application and effects of big data technology in supply chain management. Through the construction of a big data platform, the paper has optimized key links such as demand forecasting, inventory management, and logistics distribution. The results show that big data-driven optimization strategies have significantly improved the efficiency and competitiveness of the supply chain, with inventory turnover rate increased by 28%, logistics costs reduced by 18%, and overall operating costs decreased by 15%. This paper not only provides a new perspective for supply chain management theory but also offers valuable references and insights for the digital transformation and practical application of enterprises.

Keywords: big data; supply chain management; demand forecasting; inventory optimization; logistics distribution; digital transformation; data analysis; collaborative decision-making; cost savings; corporate competitiveness; intelligent supply chain; practical application (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:bdz:frmans:v:4:y:2025:i:3:p:35-42

DOI: 10.63593/FMS.2788-8592.2025.05.005

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