Abstract: A computing device receives a rule that includes information describing conditions associated with a consequence, and identifies rule components corresponding to the rule. The computing device creates a rule formula, based on the rule components, by creating a first-order logic version of the rule and creating a rule formula table based on the first-order logic version of the rule. The computing device stores the rule formula table in a relational database.

Abstract: A computing device receives a rule that includes information describing conditions associated with a consequence, and identifies rule components corresponding to the rule. The computing device creates a rule formula, based on the rule components, by creating a first-order logic version of the rule and creating a rule formula table based on the first-order logic version of the rule. The computing device stores the rule formula table in a relational database.

Abstract: A device receives, from a user device, a request for qualified offers for a particular customer, and retrieves, based on the request, profile information associated with the particular customer. The device generates a call to a backend database based on the profile information, and receives, from the backend database, offer qualification indicators based on the call. The device determines qualified offers based on the offer qualification indicators, and provides the qualified offers to the user device for display.

Abstract: A device receives, from a user device, a request for qualified offers for a particular customer, and retrieves, based on the request, profile information associated with the particular customer. The device generates a call to a backend database based on the profile information, and receives, from the backend database, offer qualification indicators based on the call. The device determines qualified offers based on the offer qualification indicators, and provides the qualified offers to the user device for display.

Abstract: A system for and method of transaction management may include receiving, via a network, an indication of a transaction error and determining, using electronically stored transaction rules and data, a classification of the transaction error based at least in part on the received indication of the transaction error. The method may comprise presenting a transaction associated with the error to a user for correction in the event the error is classified as a human error. The method may also comprise presenting the transaction associated with the error to a user, in the event an error is classified as an external system error, to perform at least one of: retracting an offer associated with the transaction, and changing an offer associated with the transaction. The method may include providing a notification to an external system in the event the error is classified as an external system error.

Abstract: A device receives, from a user device, a request for qualified offers for a particular customer, and retrieves, based on the request, profile information associated with the particular customer. The device generates a call to a backend database based on the profile information, and receives, from the backend database, offer qualification indicators based on the call. The device determines qualified offers based on the offer qualification indicators, and provides the qualified offers to the user device for display.