Coupon and promo abuse can be a major concern for financial services institutions, as it can lead to significant revenue loss and reputational damage. Traditional methods of coupon and promo abuse prevention, such as manual review of transaction data or rule-based systems, can be time-consuming and may not provide accurate insights into the root cause of abuse.

AI and machine learning (ML) can play a key role in preventing coupon and promo abuse in financial services institutions. By training an ML model on transaction data and identifying patterns and anomalies, our solution can provide insights into coupon and promo abuse and help financial services institutions take appropriate action to prevent it. In addition, ML models can be used to adjust coupon and promo code validation algorithms in real-time based on new data and emerging trends, ensuring that financial services institutions are always preventing abuse in a timely and fair manner.