Fraud in e-commerce rarely looks like fraud until you've seen enough of it. A model built to catch it needs training data covering the subtle patterns (mismatched shipping and billing details, unusual return timing, manipulated listing images) that don't announce themselves. These models are only as good as the labeled examples of both fraud and legitimate activity they learn from.