Iterating Toward Better Search: A Two-Agent Simulation Framework for Evaluating Agentic Search Architectures in E-Commerce

1. 1Build a modular two-agent simulation framework using a real e-commerce search API
2. 2Configure an independent buyer agent with personas, missions, and patience levels
3. 3Design and integrate interchangeable responders with the framework
4. 4Test and compare responder designs on identical scenarios
5. 5Apply the framework to evaluate conversational shopping assistant architectures

Data scientists and software engineers on e-commerce teams can benefit from this framework to optimize their search architectures and improve customer satisfaction

💡 Using a controlled simulation environment enables fair comparison of different responder designs

🛍️ Improve e-commerce search with a two-agent simulation framework! 💡