View source for 18519890. METHOD AND SYSTEM FOR CUSTOMIZING USER EXPERIENCE simplified abstract (Capital One Services, LLC)

=METHOD AND SYSTEM FOR CUSTOMIZING USER EXPERIENCE=


==Organization Name==

[[:Category:Capital One Services, LLC|Capital One Services, LLC]]


[[Category:Capital One Services, LLC]]

==Inventor(s)==

[[:Category:Michael Mossoba of Arlington VA (US)|Michael Mossoba of Arlington VA (US)]][[Category:Michael Mossoba of Arlington VA (US)]]

[[:Category:Gaurang J. Bhatt of Hendron VA (US)|Gaurang J. Bhatt of Hendron VA (US)]][[Category:Gaurang J. Bhatt of Hendron VA (US)]]

==METHOD AND SYSTEM FOR CUSTOMIZING USER EXPERIENCE - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18519890 titled 'METHOD AND SYSTEM FOR CUSTOMIZING USER EXPERIENCE

==Simplified Explanation==

Embodiments disclosed herein generally relate to a method and system for customizing a customer experience. In one embodiment, a computing system receives one or more video streams from a computing device positioned in a facility, capturing a customer in the facility. The system identifies the customer's identity by parsing the video streams to identify audio or visual cues, determines the customer's previous transactions at the facility, predicts a new transaction based on the previous transactions, and notifies the computing device in preparation for the new transaction.

* Identifying customer identity through video streams
* Predicting new transactions based on previous transactions
* Customizing customer experience in a facility

== Potential Applications ==
This technology could be applied in retail stores, banks, airports, and other customer-facing businesses to personalize interactions with customers based on their history and preferences.

== Problems Solved ==
This technology solves the problem of generic customer experiences by tailoring interactions based on individual customer data and behavior.

== Benefits ==
The benefits of this technology include improved customer satisfaction, increased customer loyalty, and potentially higher sales through personalized recommendations.

== Potential Commercial Applications ==
A potential commercial application of this technology could be in the retail industry, where personalized customer experiences can lead to increased sales and customer retention.

== Possible Prior Art ==
One possible prior art could be customer relationship management (CRM) systems that track customer interactions and preferences to enhance customer experiences.

=== Unanswered Questions ===

== How does the system ensure customer privacy when collecting and analyzing video streams for identification purposes? ==
The system must have robust security measures in place to protect customer data and ensure compliance with privacy regulations.

== What measures are taken to prevent inaccuracies in predicting new transactions based on previous transactions? ==
The system should continuously improve its algorithms and data analysis techniques to minimize errors in predicting customer behavior.


==Original Abstract Submitted==

Embodiments disclosed herein generally related to a method and system for customizing a customer experience. In one embodiment, a method is provided herein. A computing system receives from a computing device positioned in a facility one or more video streams. The one or more video streams capture a customer in the facility. The computing system identifying an identity of the customer by parsing the one or more video streams to identify one or more audio or visual cues of the customer. The computing system determines, based on the identity of the customer, that the customer has one or more previous transactions at the facility. The computing system predicts, based on the one or more previous transactions, a new transaction at the facility. The computing system notifies the computing device positioned in the facility in preparation of the new transaction.



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