The Impact of AI-Agent-Involved Customer Lifetime Value Management on E-Commerce Performance

Abstract

This paper explores the influence mechanism of artificial intelligence agents, namely AI-agents, intervening in customer lifetime
value (CLV) management on e-commerce performance. The study first analyzes the application status of AI-agents in the construction of the
CLV theoretical system, personalized recommendation, customer segmentation, and behavior prediction, and also verifies its effectiveness
with typical domestic and foreign cases. Then the paper points out that AI-Agent, by optimizing customer acquisition and retention strategies
and opening up value maximization paths such as cross-selling and upselling, has a positive impact on e-commerce revenue growth, customer
retention rate, and return on marketing investment, that is, ROI. The optimization strategy based on data-driven and system integration also
looks forward to the future development trend and governance framework, providing a theoretical basis and practical guide for e-commerce
enterprises to deepen the application of AI-Agent and achieve sustainable growth.