Truist Bank

James Harrison Creager

Reinaldo Gamaliel Rivera Colon

Jennifer Merten

Natalie Stormer

Kelly Griffin

Alisha Belk

Daniel Jordan Schantz

Brannan Rhett McDougald

A method for generating a transaction forecast is provided. The method includes accessing a forecast transaction template that defines forecast animation features of the transaction forecast. The method further includes predicting a set of recurring and expected charges at a client account and detecting a triggering event of transactions at the client account, wherein the triggering event is defined in the forecast transaction template. Additionally, the method includes identifying at least one additional transaction event relevant to the transaction forecast. Further, the method includes constructing a timeline of the set of expected charges, the at least one additional transaction event, and the triggering event and generating the transaction forecast including an animation of the additional transaction events, the set of expected charges, and the triggering event in the timeline.

Techniques for generating transaction forecasts

Features described herein generally relate to a graphical user interface that includes an insight hub and an insight carousel. In one example, a system can receive insights associated with transactions, generate an image carousel that includes slides populated with information associated with the insights, and generate another interface page that includes insight listings corresponding to multiple insights.

Graphical user interface with insight hub and insight carousel

A computer-implemented method includes receiving an utterance from a user comprising an intent, the intent defining a task executable by the digital assistant in response to the utterance. The method also includes transmitting the utterance to a natural language processing system. The method further includes receiving predicted intents and slot values determined by the natural language processing system based on the utterance, the predicted intents defining tasks executable by the digital assistant and the slot values providing information usable by the digital assistant to execute the tasks. Additionally, the method includes determining, based on a hierarchy model, a common ancestor for the predicted intents. Further, the method includes generating a response for display to the user using the predicted intents, the slot values, and the common ancestor, the response usable by the digital assistant to determine the intent.

Disambiguation of requests for digital assistant task execution

Electronic device display screen or portion thereof with graphical user interface

A computer-implemented method includes receiving a trigger to generate a quick link and accessing user action information associated with a set of user device interactions with a user interface. The method also includes determining at least one qualifying user device interaction of the set of user device interactions using the user action information. Additionally, the method includes generating at least one quick link that automatically performs an action associated with the at least one qualifying user device interaction upon manipulation of the at least one quick link by a user in the user interface. Further, the method includes populating the user interface with the at least one quick link.

Dynamic quick link generation system

Electronic device display screen or portion thereof with animated graphical user interface

Some examples described herein relate to automatically configuring an insight carousel of a graphical user interface based on templates. In one example, a system can receive templates and insights associated with transactions, populate fields within each template using information associated with the insights, and generate a graphical user interface including an image carousel having slides incorporating the populated templates.

Automatically configuring an insight carousel of a graphical user interface based on templates

Features described herein generally relate to automatically positioning insights in spatial locations of a graphical user interface page based on rules. Particularly, insights associated with transactions are received, spatial locations within a graphical user interface page that are designated for displaying insights are determined, a subset of spatial locations for positioning the insights are selected based on the insights and rules, and a graphical user interface with the insights spatially positioned at the subset of spatial locations is generated.

Automatically positioning insights in spatial locations of a graphical user interface page based on rules

A method for providing user feedback for a website includes generating, via a programming interface of a first computing device, a substantially transparent overlay for a graphical user interface (GUI) of a web page, the substantially transparent overlay preventing user interaction with the GUI of the web page, receiving coordinates of an area on the substantially transparent overlay, translating, by the first computing device, the coordinates of the area on the substantially transparent overlay to source code for an element on the GUI of the web page located at a corresponding position of the coordinates of the area on the substantially transparent overlay, and transmitting, by the first computing device, source code for the element to a second computing device for rendering the element on a second computing device GUI.

Growing community of inventors

Raleigh, NC, United States of America

James Harrison Creager