Artificial Intelligence Driven Fraud Detection in SAP for Retail and Healthcare

Chetan Sharma, Adarsh Vaid, Mukesh Kumar Saini

Abstract: Fraud is a major concern for businesses, particularly in retail and healthcare, where it can lead to significant financial losses and damage to trust. Traditional fraud detection methods often fall short in addressing the sophisticated techniques used today. This article discusses how AI-driven fraud detection systems within SAP are making a difference, particularly for retail and healthcare. Using advanced machine learning and data analytics, AI offers better accuracy, real-time monitoring, and cost savings. We explore methods, real-world examples, comparisons, and future trends to show how AI-driven solutions effectively combat fraud. Through cases involving Walmart and Kaiser Permanente, this piece illustrates practical uses, challenges, and successes with AI in fraud detection.

Keywords: Artificial Intelligence, Fraud Detection, Retail, Healthcare, SAP Systems, Data Analytics, Real-Time Monitoring, Fraud Prevention

How to Cite?: Chetan Sharma, Adarsh Vaid, Mukesh Kumar Saini, "Artificial Intelligence Driven Fraud Detection in SAP for Retail and Healthcare", Volume 13 Issue 11, November 2024, International Journal of Science and Research (IJSR), Pages: 312-315, https://www.ijsr.net/getabstract.php?paperid=SR24119111713, DOI: https://dx.doi.org/10.21275/SR24119111713