Abstract: Embodiments of the invention are directed to a system, method, or computer program product for identifying duplicate third party interactions based on information extracted from multiple resources associated with an enrolled user. Furthermore, the system may automatically modify a duplicate third party interaction upon identification, wherein the system may cancel the duplicate third party interaction by interrupting payments to the third party provider associated with the duplicate interaction. This allows for duplicate interactions to be canceled on behalf of the user without the system knowing user login information associated with the third party interaction. Additionally, the system may provide options for modifying duplicate interactions to the user by way of actionable notifications on the user's computing device via a client application. The system may also provide the user with reasons for why similarly-situated users modified third party interactions to aid the user's decision making process.

Abstract: A network communication interface and a memory device storing an anomaly application and a resource application are provided. A processing device is operatively coupled to the memory device, wherein the processing device is configured to execute computer-readable program code to: determine the existence of an anomalous situation for a user; initiate the anomaly application to acquire aggregated metrics from third parties associated with the anomalous situation; and analyze the anomalous situation using the aggregated information. The aggregated metrics may be obtained from the entity system and/or from a third party system. The aggregated metrics may comprise the historical financial record of a plurality of third parties. The aggregated metrics may be obtained by searching a datastore of the entity system for relevant information from a historical record of unrelated individuals.

Abstract: Embodiments leverage an artificial intelligence engine to generate customer-specific user experiences based on real-time analysis of customer responses to recommend and/or experienced features. Some embodiments access a profile of an end user comprising at least one first characteristic associated with the end user and extract end user information from a database of an entity server; identify a first trend related to resource utilization and/or management implemented by the end user based on the extracted end user information; determine an opportunity based on the identified first trend; in response to determining the opportunity, transmit control signals configured to cause the graphical user interface of the device of the end user to display graphically at least one recommendation based on the determined opportunity to the end user; and receive an input selecting or declining at least one recommendation. These inputs may correlate to a modified interface experience.