Abstract: A system is configured to retrieve historical raw transaction data, wherein each transaction is one of a target or non-target transaction. The target transactions are related to a target transaction event. A target transaction identifier is appended to each target transaction. The raw transaction data is stored to a first data table. A first neural network is trained using the first data table to generate a training data classification model. The training data classification model is applied to the first data table. A first similarity score distribution associated with the target transactions and a second similarity score distribution associated with the non-target transactions is determined. A plurality of non-target transactions whose combined similarity score distribution matches the target transactions is selected. The target transactions and the selected plurality of non-target transactions are stored to a second data table and a second neural network is trained using the second data table.

Abstract: A system is configured to retrieve a set of customer raw transaction data, wherein the transactions are devoid of any target transactions of interest. An impact neural network model is applied to the transaction data using a “notTarget” variable. The “notTarget” variable indicates that the target transaction of interest is not included in the transaction data. The model predicts a first result based on the “notTarget” variable. The model is applied to the transaction data using an “isTarget” variable. The “isTarget” variable indicates that the target transaction of interest is included in the set of customer raw transaction data. The model predicts a second result based on the “isTarget” variable. The system determines a difference between the second and first results. The difference is a predicted incremental impact on cardholder behavior. The system presents the predicted incremental impact on cardholder behavior to an issuer associated with the transaction data.

Abstract: A modular lift system that can be mounted on a stairway is disclosed. The system includes forks located on a first floor onto which the user rolls their wheelchair. The forks are motor operated to traverse a toothed track between the first floor and a second floor with the wheelchair and the user riding the forks. When the forks reach the second floor, the user rolls the wheelchair off the forks.

Abstract: A modular lift system that can be mounted on a stairway is disclosed. The system includes forks located on a first floor onto which the user rolls their wheelchair. The forks are motor operated to traverse a toothed track between the first floor and a second floor with the wheelchair and the user riding the forks. When the forks reach the second floor, the user rolls the wheelchair off the forks.

Abstract: An exemplary embodiment of the present invention is directed to a system, method, and computer program product for electronically upgrading a user content subscription for programming services. In an exemplary embodiment, the method can include the steps of: (a) identifying at least one content distributor available to a user; (b) identifying a price to the user for a programming service from the at least one content distributor; (c) presenting an offer for the programming service to the user for the price; (d) receiving an acceptance of the offer for the programming service for the price; and (e) activating the programming service.