Wells Fargo Bank, N.a.

Christopher Sipanya

Dennis Emmanuel Montenegro

Jason Huang

Margaret S Honeycutt

Jason V Biala

Miriam Felecia Clark

Rajeswaran Govindan

Ryan Lee Hammond

Wyman Yu

Sergey Yamandiy

Darren M Goetz

Dominik Vltavsky

Shari Van Cleave

Fairy Bui

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

An example method includes receiving information related to a transaction with a financial account initiated by a customer at a financial terminal, the financial account including a transaction limit. Based on the information related to the transaction exceeding the transaction limit for the financial account, the method includes identifying a mobile device associated with the financial account and receiving location information of the mobile device via one or both of a passive location response or an active location response. Based on the location information of the mobile device, the method includes determining that the mobile device is located within a predetermined distance from a location of the financial terminal and temporarily changing the transaction limit for the financial account by a variable amount based on whether the location information of the mobile device was received via the one or both of the passive or the active location response.

Computer-based system for determining dynamic financial transaction parameters

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San Jose, CA, United States of America

Christopher Sipanya