This article focuses on the impact of artificial intelligence, or AI, on the application of commercial big data and its functional dimensions, and explores all its specific values in the retail industry. First of all, this article elaborates in detail on the connotations of artificial intelligence and commercial big data, their respective characteristics, and development situations. It also analyzed a transformation model such as "data - algorithm - business value" formed after the integration of the two, which has brought about significant changes to the traditional analysis methods. This article then specifically elaborates on the role that artificial intelligence can play in customer analysis, how it functions in marketing optimization, what assistance it offers to operational efficiency improvement, as well as its roles in risk control and dynamic cycle mechanisms. Subsequently, it discusses the application strategies in different scenarios, demonstrating the feasibility of these strategies from the perspectives of technology, cost, and benefit. This article summarizes the research results, points out the limitations of the research and the future development direction. These contents can provide some references for enterprises to formulate intelligent data strategies.
Jiacheng Ji (Wed,) studied this question.