Revolutionizing cross-border e-commerce: A deep dive into AI and big data-driven innovations for the straw hat industry
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-com...
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| Veröffentlicht in: | PloS one 2024-12, Vol.19 (12), p.e0305639 |
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| creator | Dai, Junjie Mao, Xiaoyan Wu, Pengyue Zhou, Huijie Cao, Lei |
| description | 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. |
| doi_str_mv | 10.1371/journal.pone.0305639 |
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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. 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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.</rights><rights>COPYRIGHT 2024 Public Library of Science</rights><rights>2024 Dai et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2024 Dai et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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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.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>39705240</pmid><doi>10.1371/journal.pone.0305639</doi><tpages>e0305639</tpages><orcidid>https://orcid.org/0000-0002-5899-5157</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Algorithms Artificial Intelligence Automation Big Data China Clothing industry Commerce Consumer behavior Consumers Cultural heritage Data analysis Demand analysis E-commerce Economic aspects Efficiency Electronic commerce Fuzzy sets Generative artificial intelligence Global marketing Hats Humans Industry International trade Inventory Language Literature reviews Machine Learning Market strategy Marketing Marketing - methods Natural language processing Plant layout Popularity Product reviews Sentiment analysis Straw Technology Trends |
| title | Revolutionizing cross-border e-commerce: A deep dive into AI and big data-driven innovations for the straw hat industry |
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