Home » Case Studies » Using machine learning and big data, Feedzai’s goal is to predict and detect fraud within payment transactions globally
Using machine learning and big data, Feedzai’s goal is to predict and detect fraud within payment transactions globally
Country: USA Year: 2009
Concept
Targeting fast growing businesses, Feedzai analyses millions of online risk factors and data points to automatically block bad orders and reduce manual check-ups
The platform can control for its customers and therefore create precise and predictive risk profiles
Feedzai focuses on payment transactions and works across payment types including: card, vouchers, prepaid cards, tokens or Bitcoin
The platform was created in Portugal but has been relocated to the USA. Already present in six offices worldwide, Feedzai’s objective is to open new ones within a few years starting with opening an office in London
Consumer Benefits
Money saving: by a scoring analysis, Feedzai determines high risk profiles and thus sets up matching controls in order to reduce fraud
Time saving: by reducing shipment delays and excessively flagged reviews
Reliable: using machine learning and big data models, the platform gives a high level of confidence and granularity
How To Use
Users can request a demo online and then sign-up through the website
Machine-learning will give users a risk score for every order
Then a notification email is sent when a suspicious order is made
Users can ask Feedzai which orders should be blocked to be aware of the fraud easily in the future
Illustration
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