An intelligent fraud detection system that uses facial recognition and ID verification to identify previously rejected applicants attempting to reapply for bike, phone, or three-wheeler financing — and to monitor sales agents involved in fraudulent activity.
AI compares applicant selfies against ID photos and previously rejected applicants.
ID number, date of birth, and ID photo cross-checked against rejected records.
Track which sales agents are repeatedly involved in fraudulent applications.
Loan officers are alerted when a previously rejected applicant reappears.
Biometric and ID data stored with strict access controls.
Each application gets a fraud score and recommendation — staff make the final call.