Scalability and Performance Optimization of AI Agent 
Systems in E-Commerce

Xiaofan Shi

doi:10.70711/aitr.v3i7.8873

Scalability and Performance Optimization of AI Agent Systems in E-Commerce

Xiaofan Shi

Abstract

This study conducts a systematic analysis of the scalability and performance optimization issues of AI agent systems in e-commerce.
By dissecting the architectural characteristics and application status of AI agent systems, it delves deeply into the improvement mechanisms
brought by key technologies such as distributed computing, load balancing, and data-driven optimization to system performance. The research
presents a comprehensive performance optimization framework and cross-business collaboration strategies, and offers forward-looking suggestions such as multimodal fusion and edge collaboration for future development trends, providing theoretical guidance and practical approaches for e-commerce enterprises to build effi cient and stable AI agent systems.

Keywords

Scalability; Performance Optimization; AI Agent Systems; E-Commerce

Full Text:

PDF

Included Database

References

[1] (2025). Revolutionizing tourism and hospitality: Utilizing the technology of AI agents and agentic systems to boost competitive advantage. Strategic Direction, 41(11), 33-35. https://doi.org/10.1108/SD-10-2025-0274.

[2] Maryan Rizinski & Dimitar Trajanov.(2025). AI Agents in Finance and Fintech: A Scientific Review of Agent-Based Systems, Applications, and Future Horizons. Computers, Materials & Continua, 86(1), 1-34. https://doi.org/10.32604/CMC.2025.069678.

[3] Yun Xue, Xiaoping Shen & Jianbin Chen.(2011). Study and Design on the Model of Personalized Recommendation System in ECommerce Based on Multi-Agent.(eds.)Proceedings of the 2011 International Conference on Informatics, Cybernetics, and Computer

Engineering(ICCE 2011 V1)(pp.80-87). E-Commerce Department Business College of Beijing Union University.

[4] Yun Xue E-Commerce Department Business College of Beijing Union University Beijing, China Xiaoping Shen Jianbin Chen E-Commerce Department Business College of Beijing Union University Beijing, China.(2010). Study and Design on the Model of Personalized

Recommendation System in E-commerce Based on Multi-Agent.(eds.)Proceedings of 2010 International Colloquium on Computing,

Communication, Control, and Management (CCCM2010) Volume 1(pp.260-263).

[5] Qiumei Pu, Qianxing Xiong, Luo Fang, Min Xiao School of Computer Science and Technology, WuHan University of Technology

Hubei Province, 430063, CHINA.(2007). Using Agent and Ontology into automated negotiation system in e-commerce.(eds.)Proceedings of 2007 International Symposium on Distributed Computing and Applications to Business, Engineering and Science(Volume ?)

(pp.375-378).

DOI: http://dx.doi.org/10.70711/aitr.v3i7.8873

Refbacks

There are currently no refbacks.