Customers · BNPL

Typology labels for fraud,underwriting for every merchant.

BNPL runs two distinct review jobs. Label every consumer fraud typology so the model keeps learning. Run SMB merchant risk and compliance end-to-end. Roe handles both with cited evidence.

What you get

Built for the way
your team actually works.

Every for buy-now-pay-later deployment ships with the same evidence-first reasoning, audit trail, and policy fit as the rest of Roe.

Fraud typology labels

First-party fraud, account takeover, application stacking, synthetic identity. Every closed case becomes a labeled training row for your DS team.

SMB merchant risk and compliance

KYB, beneficial-owner traceback, prohibited category checks, sanctions and adverse media. Every merchant onboarded with the same diligence as a regulated bank.

Continuous merchant monitoring

Watches revenue patterns, dispute rates, listing changes, and external signals. A clean merchant doesn't quietly turn risky.

Closed-loop learning

Every realized chargeback flows back as a label and tightens the next underwriting decision. The consumer model and the merchant model both get sharper week over week.

30+

Consumer fraud typology tags

KYB + EDD

Merchant onboarding scope

Continuous

Merchant book monitoring

See Roe investigate
your real cases.

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