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Retail & Compliance

AI Fraud Detection: 95% Accuracy

Azure Cloud native. Real-time transaction analysis. Power Apps dashboard for executives.

Azure CloudMachine LearningPower AppsPythonAzure Security
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The Problem

A retail group was being targeted by sophisticated point-of-sale fraud attacks. The existing rule-based system only caught known fraud patterns — new attack patterns ran undetected for days. For the accompanying Big 4 consulting project, there was no dashboard giving executives real-time visibility into fraud situations.

The Solution

We built a fully Azure-native fraud detection platform with machine learning models trained on historical transaction data — including both known and unknown fraud patterns.

The platform analyzes every transaction in real time and automatically blocks suspicious transactions before they are processed.

A Power Apps executive dashboard gives management immediate visibility: fraud attempts by location, time of day, fraud type, and damage value — live.

The Results

95% fraud detection accuracy
Measured against validated test data
Azure Cloud native
No on-premise overhead, fully scalable
Real-time fraud blocking
Suspicious transactions stopped before processing
Executive Power Apps dashboard
Live insight for executives and Big 4 consultants

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Based in Krefeld, Germany · Global Delivery · GDPR Compliant

AI Fraud Detection: 95% Accuracy | Azure Cloud | LSI Analytics | LSI Analytics