Wells Fargo Bank, N.a.

Gregory John Hansen

Marria Rhodriquez

Adnan Khan

Nathan Craig Bricklin

Kathleen E McGinn

Ryan Benjamin Miller

Chris Theodore Kalaboukis

Raissa Williams

Wairnola Marria Rhodriquez

Virenkumar R Patel

Leah M Pineda

Karen Teats Morrison

Derrick T Poon

Kathleen E Mcginn

Systems and techniques for automated voice assistant personality selector are described herein. A task may be identified that is to be completed by a user of a voice-enabled virtual assistant. A response may be output in connection with the task using a default personality for the voice-enabled virtual assistant selected based on the task. A task completion checkpoint may be determined for the task. It may be identified that the task completion checkpoint has not been reached. A personality profile of the user may be compared to personality data of a set of voice-enabled virtual assistant profiles corresponding to respective members of a set of available voice personalities for the voice-enabled virtual assistant. An escalation personality may be selected for the voice-enabled virtual assistant based the comparison and the task. Commands for facilitating user completion of the task may be transmitted via the voice-enabled virtual assistant using the selected escalation personality.

Automated voice assistant personality selector

Systems and techniques for voice enabled assistant for community demand fulfillment are described herein. A community of user devices may be identified that are registered with a voice-based supply and demand matching service. A supply of an item may be determined based on first user audio collected from a first user device of the community of user devices. A demand for the item may be determined based on second user audio collected from a second user device of the community of user devices. An indication of the supply may be transmitted to a user of the second user device.

Voice enabled assistant for community demand fulfillment

Various examples are directed to systems and methods for facilitating image-based financial transactions. A computing device may display a multi-mode launch icon that is alternately selectable by a user in a first mode and in a second mode. The computing device may detect a first user input that selects the launch icon in the first mode and, in response, execute a first application. The computing device may also detect a second user input that selects the launch icon in the second mode and, in response, prompt the user to capture an image of a document with an imaging device. The computing device may determine, based at least in part on the image, that the document is of a first document type and execute a document-type routine to perform a first financial transaction based at least in part on the document.

User interface for document imaging

Systems and techniques for goal optimized process scheduler are described herein. A set of processes may be obtained from a plurality of process engines. Process data may be identified for each member of the set of processes. Goal data may be obtained for a goal. The goal data may indicate elements for attainment of the goal by completion of one or more processes of the set of processes. A process schedule may be generated for the set of processes based on the goal data. The process schedule may be optimized through removal of processes from the process schedule by comparison of the process data to the goal data. The optimized process schedule may include a linear organization of processes for attainment of the goal. An optimized process schedule workflow may be created for display on a user interface of a computing device.

Goal optimized process scheduler

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El Dorado Hills, CA, United States of America

Gregory John Hansen