In the era of the digital economy, the fragmentation of consumer behavior and the personalization of demands have posed challenges to trad1itional marketing models. Artificial intelligence technology provides technical support for precision marketing and promotes the transformation of marketing from "wide network" to "deep interaction". Through a novel three-dimensional framework of "Technology-Scenario-Efficiency", this study systematically analyzes AI's current technological pathways, practical effectiveness, and emerging challenges. The results show that big data analytics, deep learning and generative artificial intelligence form three core technology pillars that enable dynamic personalization of recommendation systems, intelligent advertising and customer behavior predictions across different industries. However, data silos, privacy compliance, resource constraints, and a fragmented AI ecosystem are preventing wider adoption.
Tonghui Ye (Tue,) studied this question.