A return is product evidence, customer service, inventory movement, financial activity, and sometimes a safety signal. Treating it only as policy text wastes the information and increases risk.
Capture one customer-safe primary reason, preserve evidence, separate item disposition, and measure against the right denominator before changing product or policy.
Retention is not a single dashboard percentage. It is a cohort, identity, product, service, returns, consent, and evidence problem that fashion teams can make operational.
A size recommendation is a probability built from product, customer, and outcome data—not a measurement of objective truth.
The answer depends on what “fit intelligence” does, who uses it, which products qualify, how return reasons are captured, and whether conversion, bracketing, margin, customer experience, and completed return windows are measured together.
Select a logistics partner by testing the complete inventory and exception lifecycle—not by comparing a pick fee in isolation.