The Impact of Digital Transformation on Supply Chain Efficiency: A Case Study of JD Logistics

Main Article Content

Shuo Wang
Macao Polytechnic University, Macao, China

DOI: https://doi.org/10.70267/icbms.2601.302312

Keywords

digital transformation, supply chain efficiency, JD logistics, digital twin, variance convergence

Abstract

This paper investigates the mechanisms of digital transformation in enhancing supply chain efficiency, focusing on JD Logistics. The study reveals that the integration of the “Hyper-Brain 2.0” decision system and “Wolfpack” robotic execution has established a synergistic hardware-software architecture. Empirical data indicate that digital intelligence improved frontline operational efficiency by 20.24%, achieved a sorting accuracy of 99.98%, and shortened site selection cycles by 80%. Furthermore, the application of digital twin technology effectively mitigates the “bullwhip effect” by facilitating the logical convergence of order variance toward actual demand variance. Additionally, the externalization of digital capabilities contributed to a 14.1% counter-cyclical revenue growth. This research validates the transition of digital transformation from micro-operational efficiency to macro-value empowerment, providing a strategic paradigm for the industry.

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References

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Published
May 26, 2026
Conference Proceedings Volume
Vol. 13 (2026): Proceedings of the 3rd International Conference on Business, Management and Sustainability (ICBMS 2026)
Section
Articles
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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Wang, Shuo. “The Impact of Digital Transformation on Supply Chain Efficiency: A Case Study of JD Logistics”. Exploring Science Academic Conference Series, vol. 13, May 2026, pp. 302-1, https://doi.org/10.70267/icbms.2601.302312.