Using Machine Learning to Improve Payment Authorization Rate

Using Machine Learning to Improve Payment Authorization Rate

摘要

When our customers make purchases with credit or debit cards in their PayPal wallet, we send the payment details through card networks to card issuing banks for payment authorization. During this process, payments can be declined by the issuing banks for various reasons, such as the card: exceeding its credit limit, not having enough balance, being reported as stolen, or outdated information(see here for more information regarding issuer declines causes).

Apart from these reasons, issuers also consider many other factors when deciding to approve or decline a payment request, such as: what type of card is being used for the payment? What merchandise is being purchased? What time is the payment request submitted? What is the card’s approval and decline history from issuers?