Scalability and Performance Optimization of AI Agent Systems in E-Commerce
Abstract
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 efficient and stable AI agent systems.
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DOI: https://doi.org/10.18686/utc.v11i3.275
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