Uniqlo's new retail model optimized through big data analysis

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摘要

With the rapid development of information technology, the application of big data analytics in the retail industry has become a crucial strategy for enhancing competitiveness and service efficiency of enterprises. This paper focuses on UNIQLO and explores how big data analytics optimize its new retail model. It introduces the concept and development trends of new retail, analyzing the current application status and future trends of big data in the retail industry. It delves into UNIQLO's position and strategic layout in the new retail field. Furthermore, the paper details how UNIQLO utilizes big data to collect, process, and analyze data to optimize supply chain management, offline retail store operations, and online platform sales, thereby improving product recommendations accuracy and customer experience. Lastly, it summarizes the main practices and experiences of using big data analytics to optimize UNIQLO's new retail model, and proposes suggestions for management practices and policies for retail enterprises.

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