Machine Learning Approaches for Fraud Detection in E-commerce Supply Chains

Abstract

Fraud Detection in E-commerce Supply Chains Using Machine Learning Fraud detection in e-commerce supply chains is critical for minimizing losses and ensuring secure transactions. While machine learning models like decision trees, support vector machines, and neural networks have been implemented for identifying fraudulent transactions, most focus on transaction-level analysis. A gap exists in utilizing machine learning for detecting fraud within the broader e-commerce supply chain, such as supplier fraud, counterfeit goods, and return fraud. Moreover, the integration of anomaly detection in real-time supply chain operations remains underdeveloped, and further research is needed on how