Credit Card Fraud Protection through AI App Development

Client is a FinTech Company which lends Credit Cards to Customers based on Financial profile. AI Platform built helps FinTech company to screen customers using the AI. Ezapp delivered the powerful AI Solution that allowed the company to identidy any Fraud Customers and Predict the Customers which were about to become defaulters in advance. Ezapp developed using Machine Learning models Lending Predictions, Loan Loss Predictions, Loan Recovery Rates Predictions, Business Revenue Optimization and Profitability predictions.

~ EZAPPSOLUTION
Machine Learning for Credit Card Fraud Detection
New York
Credit Card
3
Months
Tech Stack Used
Tensorflow
Keras
Docker
Elastic Search
Git
Python
AWS
AWS S3
Artifical Intelligence / Machine Learning
Tech Stack Used:
Python
MySQL
Amazon RDS
Flask
Docker
Scrapy
Results
  • Automated the entire process of searching and storing content in the database.
  • Significantly saved resource productivity and efforts.
  • Simplified profile management with automated and regular data upload.
Awards

Talk to us

Business Challenges:

FinTech company having operations in London and New York was struggling with growing challenge of Credit Card Fraud Transactions. Leading business indicators pointed drop in the recovery rates as well as there was lack of insights on the lending performance of both Retail loans portfolio. Firm was struggling to form the team of Data Scientist to manage the pipeline of growing business and reduce the Operational risk by enhacing the Risk capabilities through Artificial Intelligence as there were limited resources having the expertize both in Finance domain and Ai.

Solution:

Ezapp’s Enterprise Payments Fraud uses advance Deep learning AI models which considers robust behavioral profiling, anomaly detection and machine learning analytics for identification of loan and credit card transaction fraud. Using advance AI Tensorflow models, Ezapp has developed fraud detection accurately and efficiently, this allows timely detection of the payment frauds so that Financial Firm can benefit from payment risk and improve the governance of the transactions with ease by leveraging AI solution.

Credit Card Fraud Detection Solution Ezapp’s Card Fraud provides adaptive solutions for real-time detection and prevention of credit card fraud. The end-to-end process is thus managed, from detection to investigation to resolution, within a single financial fraud Management platform.

Credit Card Fraud Detection through AI

Electronic Payments Fraud :

The Ezapp Payments Fraud solution enables holistic protection against payment fraud in the open banking ecosystem by combining both monetary and non-monetary activity information to derive more accurate fraud risk indicators.
‍ It provides broad coverage for cross-channel payments, automates interdiction to block fraudulent payments in real-time and minimises impact to your institution and customers.

Key Benefits:

  • Detect more fraud accurately and faster with the approach of AI technology using Tensorflow and Neural Networks models.
  • Capability to scoop millions of transactions and predict to the tune of 95%-99% Fraud detection of payments.
  • Software built enables ability to run Tensorflow based Machine Learning Models and Analytics to understand customer behavior.
  • Stop Fraud in real time, minimize losses and customer disruption by stopping suspicious payments as they happen.
  • Smarter Solutions helps Business to minimize losses and scale business with frictionless approach.
  • Streamline Fraud operations reduce investigation time and expense by automating transaction monitoring, event visualization and Risk reporting.

About EzappSolution

EzappSolution is onshore and offshore product development partner for mission-driven technology startups across the globe. We combine business expertise and cutting-edge technology to drive success for our customers and help them win in their chosen markets.

Talk to us

Say Hello!

By sending a message you agree with your information being stored by us in relation to dealing with your enquiry. Please have a look at our Privacy Policy

Top-rated software
development company

350+

projects delivered
remotely

80%

of a team senior
and middle engineers

22+

employee turnover
rate

9.8/10

customer satisfaction
score