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Mechanism Study on Innovative Influences of AI and Blockchain on Supply Chain Logistics: Case Study of JD and Alibaba
- 1 School of economics, Wuhan Textile University, Wuhan, China, 430200
- 2 Adam Smith Business School，University of Glasgow, Glasgow, United Kingdom, G12 8QQ
- 3 School of Civil Engineering, Nantong Institute of Technology, Nantong, China, 226007
* Author to whom correspondence should be addressed.
Abstract
This study explores the innovative impact mechanisms of artificial intelligence (AI) and blockchain in supply chain and logistics through the case study of JD and Alibaba. The successful cases of JD and Alibaba in supply chain management show that by integrating AI and blockchain technologies, companies can automate, smarten and make supply chain logistics more efficient, thereby reducing costs, improving efficiency and enhancing overall competitiveness. Applying AI in supply chain logistics, such as demand forecasting, inventory optimization and transport route planning, can provide accurate data analysis and decision support. It can help reduce inventory costs, shorten transportation time and optimize resource allocation in the supply chain. However, AI and blockchain technologies still face several challenges, such as data privacy and security issues, technology costs and standardization. Future research and practice will continue to work on solving these challenges, further optimizing and improving the application of AI and blockchain in supply chain logistics, and promoting innovation and development in supply chain logistics.
Keywords
AI, Blockchain, Supply chain logistics, Risk management
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Cite this article
Chen,H.;Wang,Z.;Zhang,M. (2024). Mechanism Study on Innovative Influences of AI and Blockchain on Supply Chain Logistics: Case Study of JD and Alibaba. Advances in Economics, Management and Political Sciences,109,94-100.
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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 ICEMGD 2024 Workshop: Innovative Strategies in Microeconomic Business Management
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