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An online book retailer processes thousands of transactions a day and uses commonly established criteria to identify at-risk transactions. Some of the high-risk criteria that might make a transaction more likely to be manually reviewed include: new release status, popular young adult series, or best seller status.
As a result, two things can happen: transactions get queued for manual review and subsequently get approved – draining resources and consuming valuable time. Or, alternatively, transactions are deemed low-risk and get approved, but turn out to be fraudulent, resulting in chargebacks.
Due to the low predictability of new risks, manual review is not focused on the appropriate fraudulent transactions. As a result of such scenarios, review rates can unexpectedly increase.