Life occurrence handling and resolution

Abstract

A method is disclosed herein in accordance with an embodiment of the present invention. The method may include deriving at a mobile transaction platform a multi-dimensional context from one or more user transactions and determining at least one life occurrence based, at least in part, on the multi-dimensional context. The one or more user transactions may be conducted through the mobile transaction platform. The one or more user transactions may be stored on a third-party source. In an aspect, the at least one life occurrence has yet to occur. In another aspect of the invention, the life occurrence has already occurred. The multi-dimensional context may include at least one of user location information and life occurrence location information. The multi-dimensional context may include at least one of a time of life occurrence and a current time.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS[0001]This application claims the benefit of U.S. provisional application serial number U.S. 61 / 841,019 filed Jun. 28, 2013, the entirety of which is incorporated herein by reference.[0002]This application is related to the following co-owned U.S. patent applications, the entirety of each is incorporated herein by reference: Ser. No. 13 / 909,262 filed on Jun. 4, 2013; Ser. No. 11 / 539,024 filed on Oct. 5, 2006; and U.S. Ser. No. 10 / 284,676 filed on Oct. 31, 2002 now patented as U.S. Pat. No. 8,527,380.[0003]This application is also related to the following co-owned U.S. patent applications, the entirety of each is incorporated herein by reference: U.S. Ser. No. 13 / 622,433 filed on Sep. 19, 2012; U.S. Ser. No. 13 / 622,462 filed on Sep. 19, 2012; and U.S. Ser. No. 13 / 622,815 filed on Sep. 19, 2012.[0004]Each patent, patent application and other document referenced herein is hereby incorporated by reference in its entirety.BACKGROUND[0005]1. Field[00...

AI Technical Summary

Benefits of technology

[0065]A method for configuring an eco-system enabled life occurrence container operating on a mobile device to address a life occurrence is disclosed herein that may include. The method may include developing and storing on a non-transient computer readable medium a context for trigger-events based, at least in part, on life occurrence time data, user and life occurrence location data, transaction analytics of transactions conducted through a mobile transaction platform of the eco-system, and third-party user-related data, monitoring the trigger-event context to detect at least one trigger-event indicative of a life occurrence, deploying on the mobile device at least one personalized widget available in the eco-system that facilitates delivery of a third-party provided service for addressing the life occurrence, associating at least one resolution action presented to a user in response to a detected trigger-event with preconfigured mobile transactions for executing the at least one resolution action in response to a user acceptance of the presented action, and pre-configuring mobile transactions that are executed via the personalized widgets to effect delivery of the third-party service that satisfies an aspect of the life occurrence. The method may further include updating the trigger-event context through an enabling layer operable on the mobile device. The enabling layer may provide access to at least one trigger-event context source. The at least one trigger-event context source comprises at least one of a GPS data source, a clock and a calendar. The third-party user-related data may include at least one of social data, calendar data and family associations.

[0066]A computer readable storage medium having data stored therein representing software executable by a computer to configure an eco-system enabled life occurrence container operating on a mobile device to address a life occurrence is disclosed herein. The software may include instructions to develop and store on a non-transient computer readable medium a context for trigger-events based, at least in part, life occurrence time data, user and life occurrence location data, transaction analytics of transactions conducted through a mobile transaction platform of the eco-system, and third-party user-related data, instructions to monitor the trigger-event context to detect at least one trigger-event indicative of a life occurrence, instructions to deploy on the mobile device at least one personalized widget available in the eco-system that facilitates delivery of a third-party provided service for addressing the life occurrence, instructions to associate at least one resolution action presented to a user in response to a detected trigger-event with preconfigured mobile transactions for executing the at least one resolution action in response to a user acceptance of the presented action and instructions to pre-configure mobile transactions that are executed via the personalized widgets to effect delivery of the third-party service that satisfies an aspect of the life occurrence. The steps may further include updating the trigger-event context through an enabling layer operable on the mobile device. The enabling layer may provide access to at least one trigger-event context source. The at least one trigger-event context source may include at least one of a GPS data source, a clock and a calendar. The third-party user-related data may include at least one of social data, calendar data and family associations.

Problems solved by technology

As the use of mobile devices for performing a wide range of user-specific transactions, including healthcare, shopping, financial, personal, business, and the like continues to rise, the burden of managing most aspects of such transactions falls on the mobile user, thereby increasing complexity of a mobile experience for most users.

Yet no integrated solution has been established that facilitates a truly user-centric experience with the aim of fully integrating a user's mobile experience with his / her lifestyle.

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