跨境电商平台商品信息分类体系优化研究

Research on the Optimization of Product Information Classification System for Cross-Border E-Commerce Platforms

摘要: 阐明分类系统对于市场需求匹配，消费者购买决策，平台交易费用等方面所起的重要作用。通过对目前主流跨境电商平台分类体系中的问题进行深入剖析，研究以市场需求为导向的分类优化方法，提高分类系统的经济性，提升分类系统的经济效益，提升用户的经济价值。通过对分类信息架构进行优化，可以降低信息组织与检索成本，提高顾客的满意度和交易额，增强其在国际上的竞争能力和经济效益。

Abstract: This study elucidates the critical role that a classification system plays in matching market demands, facilitating consumer purchasing decisions, and influencing platform transaction costs. Through an in-depth analysis of the problems inherent in the classification systems of current mainstream cross-border e-commerce platforms, the research investigates a market demand-oriented approach to classification optimization. The primary objectives are to enhance the economic efficiency of the classification system itself and to increase the economic value for users. By optimizing the information architecture of product categories, it is possible to reduce the costs associated with information organization and retrieval. This improvement will subsequently elevate customer satisfaction and increase transaction volumes, thereby strengthening the platform’s international competitiveness and overall economic performance.