Abstract: A computer system including a first network-based portal, a second network-based portal, and an analyzer computing device including at least one processor is provided. The at least one processor is configured to: (i) receive an initial data message including data elements, (ii) analyze, using machine learning tools, the data elements to determine to route the initial data message to the second network-based portal or to a processing computing device, (iii) in response to determining to route the initial data message to the second network-based portal, route the initial data message to the second network-based portal via a first network communication link, and (iv) in response to determining to route the initial data message to the processing computing device via a second network communication link, reformat the initial data message into a different protocol compatible with the second network communication link, and transmit the reformatted message to the processing computing device.

Abstract: A chargeback analytics computing device for generating chargeback analytics associated with service chargebacks is provided. The chargeback analytics computing device is configured to retrieve transaction data for a merchant, the transaction data associated with transactions initiated at the merchant, and extract chargeback data from the transaction data, the chargeback data associated with chargeback transactions. The chargeback analytics computing device also parses the chargeback data to identify a chargeback reason code associated with each chargeback transaction. Based upon the chargeback reason codes, the chargeback analytics computing device isolates a fraud-related portion and a non-fraud-related portion of the chargeback data, and extracts a service subset of the non-fraud-related portion associated with service chargeback transactions, wherein a service chargeback transaction is initiated by a cardholder having an unsatisfactory experience with the merchant.

Abstract: A chargeback analytics computing device for generating chargeback analytics associated with service chargebacks is provided. The chargeback analytics computing device is configured to retrieve transaction data for a merchant, the transaction data associated with transactions initiated at the merchant, and extract chargeback data from the transaction data, the chargeback data associated with chargeback transactions. The chargeback analytics computing device also parses the chargeback data to identify a chargeback reason code associated with each chargeback transaction. Based upon the chargeback reason codes, the chargeback analytics computing device isolates a fraud-related portion and a non-fraud-related portion of the chargeback data, and extracts a service subset of the non-fraud-related portion associated with service chargeback transactions, wherein a service chargeback transaction is initiated by a cardholder having an unsatisfactory experience with the merchant.

Abstract: A pre-chargeback computer network for processing pre-chargeback dispute messages includes a dispute analyzer (DA) computing device. The DA computing device is configured to receive a dispute message identifying a disputed transaction from an issuer portal over a first communication link, the dispute message including transaction data associated with the disputed transaction and dispute data. The DA computing device is further configured to analyze the transaction data and the dispute data, and route the dispute message over the pre-chargeback network or a separate chargeback network based on the analysis.