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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Bibliographic Details
Published in:PloS one 2024-12, Vol.19 (12), p.e0305639
Main Authors: Dai, Junjie, Mao, Xiaoyan, Wu, Pengyue, Zhou, Huijie, Cao, Lei
Format: Article
Language:English
Subjects:
Algorithms
Artificial Intelligence
Automation
Big Data
China
Clothing industry
Commerce
Computational linguistics
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
Innovations
International marketing
International trade
Inventory
Language
Language processing
Literature reviews
Machine Learning
Market strategy
Marketing
Marketing - methods
Natural language interfaces
Natural language processing
Plant layout
Popularity
Product reviews
Selling
Sentiment analysis
Straw
Technology
Trends
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Summary: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.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0305639