The Ecom-RLVE framework provides a verifiable environment for training conversational agents in e-commerce. It uses a dynamic state-tracking mechanism to ensure agent actions align with real-time inventory and user constraints. This approach reduces hallucination in product recommendations. Developers can now benchmark agent reliability using concrete, verifiable outcomes rather than vague linguistic metrics.