Wells Fargo Bank, N.a.

Jason V Biala

Dennis Emmanuel Montenegro

Jason Huang

Margaret S Honeycutt

Miriam Felecia Clark

Rajeswaran Govindan

Christopher Sipanya

Ryan Lee Hammond

Wyman Yu

Sergey Yamandiy

Carrie Anne Hanson

Benjamin S Taylor

Sadie Salim

Jasim Ahamed Pattani Sirajudeen

A method may include retrieving, from a data store, an environment template data file; parsing the environment template data file to identify: path data; an amount of events; and display location information with respect to each event in the amount of events; accessing a user profile identifying scheduled events for a user; for a first event in the scheduled events for the user, predicting using at least one processor, a set of decisions associated with the first event, and a set of impact determinations for each respective decision in the set of decisions; generating, using the processing device, a user interface based on the path data, the amount of events, the display location information, the set of decisions associated with the first event, and the set of impact determinations for each respective decision in the set of decisions; and presenting the user interface on a computing device of the user.

Path-driven user interface

A method may include receiving, at a server device, a request from a third-party website over an application programming interface (API), the request including a user identification and an item identification; retrieving, at the server device, a set of goal data structures generated for a user profile of a user matching the user identification; matching, at the server device, the item identification to an identification within a goal data structure of the set of goal data structures, the goal data structure including a plurality of steps associated with the goal data structure; generating, at the server device, a response data structure including a status of each step of the plurality of steps associated with the goal data structure; and transmitting the response data structure to the third-party website.

System for electronic service interoperability

This disclosure describes techniques that include a system for supporting payment, data visibility, action recommendations, and advice pertaining to activities across various commercial entities, applications, and/or consumer/commercial entity relationships. In one example, this disclosure describes a method that includes identifying, by a computing system, interactions with each of a plurality of commercial entities; determining, by the computing system, information about incentive policies for each of the plurality of commercial entities; receiving, by the computing system and from a user device, a request; generate, by the computing system, a recommendation, wherein the recommendation is generated based on the request, the interactions with the plurality of commercial entities, and an analysis of the incentive policies for each of the plurality of commercial entities; output, by the computing system, information about the recommendation to be presented by the user device.

Consumer relationship optimizer

Growing community of inventors

Martinez, CA, United States of America

Jason V Biala