Floa Chooses AI to Fight Fraud

How a leading consumer credit institution successfully countered fraud amidst the intensification of online loan applications.
IA et stratégie anti fraude Cas Client Micropole

Context

FLOA Bank (formerly Banque Casino) is a specialist in online consumer credit, financing thousands of loans every year. Key figures:

  • 3 million customers

  • 100 e-commerce partners

  • 300 employees at FLOA

With a 100% digital offering, FLOA Bank is currently the leader in installment payments.

Challenges

Every year, French authorities face a very high volume of fraud, and consumer credit institutions are constantly searching for tools to curb it. Between €1 million and €2 million in fraud is recorded annually on classic personal loans. This growth has highlighted the proliferation of fraud scenarios (the fraudsters' methods) and increased the time experts spend detecting them.

FLOA Bank needed to learn from past fraud cases to detect attempts before the credit approval decision and thus lighten the workload of its advisors.

FLOA Bank is intensifying its fight against credit fraud by implementing the Scoring.AI tool along with AI and Machine Learning solutions.

Another major challenge for the group was to integrate Machine Learning and AI into its processes to reduce fraud through high-performance scoring.

Methods and Solutions

Implementation of a Machine Learning and AI solution alongside a high-performance scoring tool.

Benefits

75%

of potential fraud avoided

- 6%

in loands financed

While fraud attempts are increasing by 30% per year, Scoring.AI has allowed us to reduce fraud by more than 50%.

Jean-Baptiste Boix, Head of Fraud Department at Floa

 

Other References

How Talan supported Scor in automation, performance, and data governance.

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