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The Role of Artificial Intelligence in Enhancing Trade Facilitation through Single Window Systems

Year: 2024

Type: article

Abstract: This paper explores the role of Artificial Intelligence (AI) in enhancing trade facilitation through its integration with Single Window Systems (SWS). It investigates how AI technologies such as machine learning, natural language processing, and predictive analytics can improve the efficiency and effectiveness of trade processes. Case studies of Singapore and Australia are analyzed to highlight successful AI applications and key lessons learned. The study discusses the benefits, including increased efficiency, reduced costs, enhanced accuracy, and improved user experience, alongside the challenges posed by technical complexities, legal and ethical considerations, and resistance to change. The paper also provides policy implications and recommendations for governments, international organizations, and private sector stakeholders. Future research directions emphasize emerging AI technologies like AI-driven blockchain and advanced NLP, and their potential long-term impacts on global trade dynamics.

Source: Journal of AI-Driven Trade Facilitation Engineering and Single Window Systems

DOI: 10.6914/sw.010101

Author: Changkui LI

Language: English

Topic: Impact of AI and Big Data on Business and Society

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: hybrid

OpenAlex ID: W4404332327

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