Development and Practice of AI-Based Textile Cross-Border E-commerce Training Course
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Abstract
With the development of artificial intelligence and cross-border e-commerce, the textile industry faces an urgent demand for digital transformation and compound talent training. This paper discusses the integration of artificial intelligence into the development and practice of textile cross-border e-commerce training courses and constructs a talent-training system adapted to industry requirements. The study first analyzes the objectives of textile cross-border e-commerce training, clarifies the competency specifications for compound talents, and systematically designs course modules integrating artificial intelligence technologies. The modules include intelligent market analysis, product selection optimization, intelligent product operation, automated customer service, data analysis, and decision optimization. The paper then elaborates on specific applications of artificial intelligence in the course, including AI-driven market analysis, intelligent product operation, and customer-service marketing. By introducing tools for data mining, product analysis, image recognition, customer profiling, and content generation, the curriculum strengthens students’ ability to use artificial intelligence for overseas market analysis, product optimization, operational decision-making, and multilingual customer interaction in textile cross-border e-commerce scenarios.
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