Overview
ML scores return requests for fraud or abuse risk using transaction history, customer behavior, item category, timing, and known loss patterns.
ML scores return requests for fraud or abuse risk using transaction history, customer behavior, item category, timing, and known loss patterns.
Retail process / Return
ML scores return requests for fraud or abuse risk using transaction history, customer behavior, item category, timing, and known loss patterns.