Success Story

Machine Learning-Based Fraud Detection System Helps US-Based Commercial Lender Flag Up To 100% Fraudulent Transactions

Client Introduction

A leading US-based commercial lender offering leasing and financing solutions to equipment manufacturers, sellers, government institutions, and other organizations.

Problem Statement

  • The client struggled to detect and mitigate fraud risks.
  • The existing systems could not detect emerging threats.
  • The undetected fraudulent transactions led to financial and reputational losses.

Solution Offered

Anaptyss implemented an advanced fraud detection system based on the Recency, Frequency, Monetary (RFM) scoring model and time-series analysis. This system enabled the client to detect and flag a sudden rise in transaction frequency and value. Additionally, the solution enabled the analysis of historical transaction data from the client’s database and proxies.

Key Solution Delivered

  • Live RFM scoring system for scoring risks.
  • Machine learning-based system to identify high-risk transactions and anomalies.
  • State-of-the-art algorithmic fraud detection architecture

Business Outcomes

  • Up to 100% detection of fraudulent transactions
  • Maximized safeguard against fraud risks

Want to learn more or need a solution?
Write to us: info@anaptyss.com

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