Iterating Toward Better Search: A Two-Agent Simulation Framework for Evaluating Agentic Search Architectures in E-Commerce
arXiv:2606.12924v1 Announce Type: new Abstract: We present a modular two-agent simulation framework for evaluating conversational shopping assistant architectures. An independent buyer agent, configured with personas, missions, and patience levels, is paired with an interchangeable responder that integrates with a real e-commerce search API. Holding the buyer constant across experiments enables controlled comparison of responder designs on identical scenarios. Using 2011 conversations across 14 persona buckets, we establish four empirical findings. First, rolling-window memory outperforms inte
The development of sophisticated AI models is enabling more complex simulation and evaluation frameworks for AI agent architectures, particularly in high-stakes commercial applications like e-commerce. The need for robust evaluation methods for agentic systems is pressing as their deployment increases.
This framework offers a standardized and controlled way to evaluate the performance of AI shopping assistants, which could accelerate the development and deployment of more effective agentic systems in e-commerce, impacting consumer experience and retail efficiency. It provides methodology for directly comparing different agent designs.
The ability to systematically benchmark and iterate on AI agent designs for e-commerce, moving from qualitative assessments to quantitative, simulation-driven comparisons. This will likely lead to faster optimization and more reliable commercial AI agents.
- · E-commerce platforms
- · AI development firms
- · Consumers
- · Retailers
- · Inefficient human customer service operations
- · AI solutions lacking robust evaluation
Improved performance and reliability of AI shopping assistants in e-commerce, leading to better user experiences.
Increased adoption of AI agents across various customer-facing roles, potentially reducing demand for human agents in some sectors.
The methodology could be extended to evaluate other agentic AI systems beyond e-commerce, fostering broader advancements in autonomous AI.
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Read at arXiv cs.AI