The ConvApparel framework quantifies the realism gap between AI user simulators and actual humans. Researchers tested how well synthetic users mimic real-world shopping behaviors in conversational commerce. This benchmark helps developers refine agent training data. It reduces the reliance on expensive human-in-the-loop testing for generative AI agents during early development cycles.