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

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اقرأ على الانترنت اقرأ أكثر حفظ في قائمتي
  • المؤلفون: Dai J;Dai J; Mao X; Mao X; Wu P; Wu P; Zhou H; Zhou H; Cao L; Cao L
  • المصدر:
    PloS one [PLoS One] 2024 Dec 20; Vol. 19 (12), pp. e0305639. Date of Electronic Publication: 2024 Dec 20 (Print Publication: 2024).
  • نوع النشر :
    Journal Article
  • اللغة:
    English
  • معلومة اضافية
    • المصدر:
      Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
    • بيانات النشر:
      Original Publication: San Francisco, CA : Public Library of Science
    • الموضوع:
      Artificial Intelligence* ; Big Data* ; Commerce*; China ; Humans ; Industry ; Marketing/methods ; Machine Learning
    • نبذة مختصرة :
      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.
      Competing Interests: The authors have declared that no competing interests exist.
      (Copyright: © 2024 Dai et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
    • References:
      Front Genet. 2019 Mar 26;10:214. (PMID: 30972100)
    • الموضوع:
      Date Created: 20241220 Date Completed: 20241220 Latest Revision: 20250104
    • الموضوع:
      20250104
    • الرقم المعرف:
      PMC11661638
    • الرقم المعرف:
      10.1371/journal.pone.0305639
    • الرقم المعرف:
      39705240