Real-time Fraud Detection for E-commerce Platform

The Challenge

A major online marketplace in Dubai Internet City was experiencing sophisticated fraud attempts across their platform serving 2.8M customers across the GCC. Account takeovers, fake seller registrations, payment fraud, and counterfeit product listings were costing AED 22M annually. During peak shopping periods like Dubai Shopping Festival and Ramadan, fraud attempts increased by 340%, overwhelming the manual review team of 15 analysts.

Our Solution

Our fraud detection platform monitors the entire e-commerce ecosystem: buyer behavior analysis, seller verification, payment transaction monitoring, and product authenticity checks. The system processes 450,000+ daily transactions, analyzes 85,000+ product listings, and monitors 12,000+ active sellers. Machine learning models account for regional shopping patterns during cultural events, cross-border transactions from neighboring GCC countries, and seasonal variations in electronics, fashion, and luxury goods popular in the UAE market.

Implementation Steps

• Deployed real-time ML models processing 450K+ daily transactions and user interactions
• Built behavioral analytics tracking 200+ user interaction patterns and device fingerprinting
• Created seller verification system analyzing business documents and transaction history
• Implemented product authenticity detection using image recognition and brand verification
• Integrated payment fraud detection with local and international payment gateways
• Developed automated response system with graduated actions from warnings to account suspension

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