Revolutionizing cross-border e-commerce: A deep dive into AI and big data-driven innovations for the straw hat industry

Junjie Dai, Xiaoyan Mao, Pengyue Wu, Huijie Zhou and Lei Cao

PLOS ONE, 2024, vol. 19, issue 12, 1-28

Abstract: This paper investigates the impact of artificial intelligence (AI) and big data analytics on optimizing cross-border e-commerce efficiency for straw hat manufacturers in Zhejiang Province, China. It identifies market and consumer demand trends through machine learning analysis of comprehensive e-commerce data and leverages generative AI to revolutionize production and marketing processes. The integration of AI-generated content (AIGC) technology facilitates streamlined design-to-production cycles and rapid adaptation to market changes and consumer feedback. Findings demonstrate that the application of AI and big data significantly enhances market responsiveness and sales performance for straw hat enterprises in cross-border e-commerce. This research contributes a novel framework for employing AI and big data to navigate the complexities of international commerce, providing strategic insights for small and micro enterprises seeking to expand their global market footprint.

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0305639

DOI: 10.1371/journal.pone.0305639

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