Abstract

The retail industry has evolved from Retail 1.0 to Retail 4.0 in response to the advancements brought about by the industrial revolution. After the COVID-19 epidemic, the customer had formed the habit of online shopping. The retail enterprise business model change from traditional retail to new retail and omni-channel retail. Artificial intelligence (AI), big data, Internet of Things (IoT), and other technologies make this change an inevitable trend in the era of Retail 4.0. The present study provides an overview of the current state of China's retail industry in the post-epidemic era.It explores how retail enterprises are transitioning their business models from traditional retail to new retail and omni-channel retail within the framework of Retail 4.0. In conjunction with an analysis of the development and research status of big data, this paper explores the application of big data in China's retail industry across five key areas, namely risk management, category management, customer relationship management, logistics management, and market analysis, then summaries its challenges, limitations and future trends. The purpose of this paper is to provide enterprises with a clear understanding of their current stage and offer guidance for decision-making in the application of big data

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