CYNTE Technologies’ Post

We recently had the privilege of presenting our cutting-edge AI-based product at Madden College of Business & Economics at Le Moyne. The session was a fantastic opportunity to demonstrate the practical applications of AI to the bright minds of tomorrow. A big thank you to the skilled students and faculty for their excitement and active participation! At CYNTE Technologies, we believe in the power of AI to transform industries and drive innovation. #ai #mcc #kyb #payments #fintech #fraud #ecomm #merchantonboarding

View profile for Mehmet Serdar Kılınç, graphic

Associate Professor of Business Analytics

In credit card transactions, Merchant Category Codes (MCCs) are identifiers that describe the primary business activity. For instance, CITI uses "5814" for fast-food restaurants and "5411" for grocery stores. Accurate MCC classification is vital for proper transaction handling, risk management, regulatory adherence, and rewards programs. In our Machine Learning for Business Applications class at the Madden College of Business & Economics at Le Moyne, we explored how CYNTE Technologies is pioneering AI-driven automation for MCC classification. Thank you, Serdar Akyel, Gokhan Inonu, Muhammed Faruk Ozkan, and Emre Soyyiğit, for the demonstration!

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