Enhancing Financial Performance in E-Commerce Firms through AI-Agent-Assisted Risk Management 
Shi Xiaofan1  Mynzhanova Gulzhakan2（Corresponding author）

1 Al-Farabi Kazakh National University Farabi International Business School，Almaty Kazakhstan，221008；

2 Kazakh Ablaikhan University of international relations and world languages

Abstract: This research focuses on e-commerce enterprises, delving deeply into the application of artificial intelligence agents in risk management and their mechanism of enhancing financial performance. By analyzing representative cases such as Amazon and Alibaba, the study concludes that AI intelligent agents, relying on three core technologies: machine learning, natural language processing, and intelligent decision-making systems, Effective identification and early warning of market risks, credit risks, operational risks and compliance risks have been achieved. Research shows that AI agents can increase the accuracy rate of fraudulent transaction identification to 92%, raise inventory turnover rate by 31%, and significantly reduce operating costs through automated decision-making processes. This study also provides optimization strategies such as data governance, cross-departmental collaboration, and multi-agent systems, offering practical approaches for e-commerce enterprises to build intelligent risk management systems.

KeyWords: Financial Performance; E-Commerce Firms; AI-Agent-Assisted; Risk Management

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