Advances in Economics, Management and Political Sciences
- The Open Access Proceedings Series for Conferences
Advances in Economics, Management and Political Sciences
Series Vol. 76 , 18 April 2024
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Access | Article
Innovation in Cross-Border Supply Chain Inventory Management Driven by Big Data
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Abstract
This paper explores the transformative impact of big data technology on cross-border supply chain inventory management. In the era of globalization, supply chains face increased complexities and risks, particularly in cross-border logistics. Challenges include transportation uncertainties, delays due to long-distance transport, infrastructure disparities, and transparency issues. Integrating big data analytics offers a solution to these challenges by enabling predictive analytics for demand forecasting, inventory optimization, and risk management. This study highlights the role of big data in enhancing supply chain transparency, reducing uncertainties, and improving decision-making processes. Examples from JD E-commerce and NongFu Spring demonstrate the practical application of big data in optimizing inventory management and mitigating risks. JD E-commerce employs artificial intelligence and big data analytics for inventory management, leading to reduced turnover days and cost efficiency. NongFu Spring, on the other hand, uses big data for scenario marketing and supply chain optimization. The paper concludes that big data technology not only revolutionizes inventory management but also plays a crucial role in addressing risks in the supply chain, thus leading to more efficient, transparent, and resilient supply chains in the face of globalization challenges.
Keywords
Big Data Analytics, Cross-Border Supply Chain, Inventory Management
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Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 3rd International Conference on Business and Policy Studies
- ISBN (Print)
- 978-1-83558-375-3
- ISBN (Online)
- 978-1-83558-376-0
- Published Date
- 18 April 2024
- Series
- Advances in Economics, Management and Political Sciences
- ISSN (Print)
- 2754-1169
- ISSN (Online)
- 2754-1177
- DOI
- 10.54254/2754-1169/76/20241882
- Copyright
- 18 April 2024
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited