The Ecom-RLVE framework introduces a verifiable environment for training conversational agents in e-commerce. It uses a dynamic state-tracking mechanism to validate agent actions against real-time inventory and user constraints. This reduces hallucinated product availability during shopping tasks. Developers can now benchmark agent reliability using concrete, verifiable outcomes rather than vague linguistic metrics.