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-world e-commerce constraints. This approach reduces hallucinations during product searches. Developers can now benchmark agent reliability using more rigorous, automated verification instead of relying on static datasets.