Abstract: A chargeback prediction computing device for predicting a chargeback stage for a payment transaction is provided. The chargeback prediction computing device is configured to store chargeback data from a plurality of chargebacks associated with a plurality of account holders wherein the chargeback data includes a plurality of variables, determine a set of indicators from the plurality of variables wherein the indicators include variables associated with each chargeback stage, generate a chargeback prediction model based on the set of indicators, receive candidate chargeback data for a candidate chargeback request wherein the candidate chargeback data includes a plurality of candidate variables, apply the chargeback prediction model to the candidate chargeback data to generate an output, and generate a chargeback type for the candidate chargeback request based on the output, wherein the chargeback type indicates a probability that the candidate chargeback request will reach a particular chargeback stage.

Abstract: Systems and methods are provided for validating reviews, by comparing transaction data for consumers to details included in the reviews. Initially, a request is received to validate a review provided by an individual via a review entity. The review relates to at least one of a product, a service, and a merchant. Payment accounts are then identified for various consumers that match a profile of the individual providing the review, and transaction data in the identified payment accounts are compared to details included in the review (e.g., details of at least one of a product, a service, and a merchant associated with the review, etc.). A validity indicator for the review can then be issued, based on the comparison.

Abstract: A system, method, and computer-readable storage medium configured to enable transaction-related user behavior modeling of individuals based on their payment card purchases. The user behavior modeling can provide predictions on next transaction information. One or more recommendations can be determined based on the next transaction information.

Abstract: A system, method, and computer-readable storage medium configured to process, analyze, and model of large amounts of data resulting in improved functionality over a generic computer.