Fraud Detection


A fraud detection system helps companies to decrease unidentified transactions and increase company revenue and brand value. Many different forms of fraud exists in E-commerce businesses such as Interception Fraud, Chargeback Fraud, Payment Fraud, Promotion Abuse or Sign-up Fraud.We can detect suspicious behavior by using data science techniques like matching algorithms, anomalies detection, classification and data mining. Signs of suspicious behavior could include a shipping address differing from a billing address, an unexpected international order or multiple orders of the same item.

Benefits for the company

Fraud has never been a new thing. It is especially obvious now, when the world is moving away from in-store purchases and the number of cash-free transaction increases

As the trend for E-commerce fraud rises , E-commerce fraud scenarios and malware become more subtle and harder to detect. E-commerce fraud protection has never been so important.



Type of expertise/ AI domain

Hidden Markov Model (HMM), Bayesian Neural Network (BNN), Fuzzy Logic

Internal data required

Anomalies Detection, Data mining, Classification Analysis

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