The Ecom-RLVE framework introduces adaptive, verifiable environments to train conversational agents for online shopping. It uses a dynamic feedback loop to validate agent actions against real-time inventory and user constraints. This approach reduces hallucinations during the checkout process. Developers can now benchmark agent reliability using more concrete, verifiable success metrics.