Leveraging an artificial intelligence engine to generate customer-specific user experiences based on real-time analysis of customer responses to recommendations

Leveraging an artificial intelligence engine to generate customer-specific user experiences based on real-time analysis of customer responses to recommendations

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 w...

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Bibliographische Detailangaben
Hauptverfasser: Hsieh, Matthew, Miller, Elizabeth Ann, Shilov, Daniel, Jones-McFadden, Alicia C, Enscoe, Scott R, Anand, Raghav, Anderson, Michael, Salvino, Alicia Anli
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung: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.