Chargeback disputes can be a major concern for financial services institutions, as they can lead to significant financial losses and reputational damage. Traditional methods of chargeback dispute resolution, 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 disputes.

AI and machine learning (ML) can play a key role in resolving chargeback disputes quickly and efficiently. By training an ML model on transaction data and identifying patterns and anomalies, our solution can provide insights into the root cause of chargeback disputes and help financial services institutions take appropriate action to resolve them. In addition, ML models can be used to adjust chargeback dispute resolution algorithms in real-time based on new data and emerging trends, ensuring that financial services institutions are always resolving disputes in a timely and fair manner.