Amazon primarily uses adaptive, category-normalized baselines, not fixed thresholds.
For example, a 15% return rate may be normal in apparel but anomalous in electronics. Models continuously re-learn expected behavior by ASIN, subcategory, seasonality, and fulfillment method (FBA vs FBM).
