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
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.
Ready to Transform your Operations
From strategy and solution design to enterprise deployment and managed operations, Anaptyss helps organizations turn AI ambitions into trusted, scalable business capabilities.
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