Online comment topics for each price range.

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.本研究考察了人工智能（AI）与大数据分析对优化中国浙江省草帽制造企业跨境电商运营效率的影响。本研究通过对全域电商数据开展机器学习分析，挖掘市场与消费者需求趋势，并借助生成式AI（Generative AI）革新生产与营销流程。人工智能生成内容（AIGC）技术的整合应用，可简化从设计到生产的全流程，并助力企业快速响应市场变化与消费者反馈。研究结果表明，人工智能与大数据的应用可显著提升草帽企业在跨境电商场景下的市场响应能力与销售业绩。本研究提出了一套应用人工智能与大数据以应对国际贸易复杂环境的创新框架，为寻求拓展全球市场布局的中小微企业提供了战略参考。