A new framework called ConvApparel measures the realism gap between AI user simulators and actual humans. Researchers tested how accurately LLMs mimic human shopping behaviors in conversational commerce. The study identifies specific failure points where simulators diverge from real user intent. This data helps developers build more reliable synthetic datasets for training retail agents.