Virtual Card Issuance via Machine Learning Prediction

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Solution Overview

Problem

There is a need for improved systems and methods to shorten the time consumers wait to access financial resources provided by credit cards and debit cards while maintaining security and verification processes.

Innovation Solution

A computing system that uses a machine learning model to predict user access to restricted resources, providing both a physical apparatus and a transitory virtual resource access, which includes a code for immediate access to stored resources, allowing instantaneous issuance of a virtual version of the physical product.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If a review process and physical card manufacturing/distribution is performed to ensure security and verification, then consumer protection and legitimacy verification are improved, but the time delay from application to resource access increases

Engineering Contradiction:
Improveconsumer protectionVSAvoidtime delay
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system performs preliminary actions by pre-approving users through automated machine learning-based credit assessments before physical card issuance. Once approved, users receive instantaneous virtual card access, while physical cards are manufactured and mailed in the background. This separates the approval process from the physical delivery process, eliminating delays for legitimate users.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system creates a virtual copy of the physical card that provides the same access functionality. The virtual card contains all necessary account information and security features, allowing users to access financial resources immediately without waiting for the physical card to be manufactured and delivered. The virtual card is a digital replica that fulfills the same purpose as the physical card.

Inventive Principle:
Principle #26Copying

2Productivity

If automated machine learning-based approval is used to reduce wait time, then resource access speed is improved, but the complexity of the verification system increases

Engineering Contradiction:
Improveresource access speedVSAvoidverification system complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system replaces manual review processes with automated machine learning models that analyze user data and make approval decisions algorithmically. This substitution of mechanical human review with automated computational systems increases processing speed while managing complexity through standardized evaluation criteria and automated decision-making protocols.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The machine learning system performs self-service by automatically evaluating user credentials, assessing creditworthiness, and making approval decisions without human intervention. The system serves itself by processing applications, detecting fraud patterns, and issuing approvals or rejections autonomously, reducing the need for manual verification complexity.

Inventive Principle:
Principle #25Self-service

3Measurement precision

If physical cards are mailed to consumers to verify legitimate addresses, then address verification accuracy is improved, but the time required for card delivery increases

Engineering Contradiction:
Improveaddress verification accuracyVSAvoidcard delivery time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system uses the virtual card as a copy that provides immediate access while the physical card is being mailed for address verification purposes. The virtual card allows users to function immediately, separating the verification function from the access function, so address verification can proceed without delaying resource access.

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The system performs preliminary address verification through alternative methods (such as utility bill verification, government ID cross-checking, or automated address validation services) before or during the physical card mailing process. This preliminary verification establishes address legitimacy without requiring users to wait for physical card delivery.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS20240202723A1Restricted resource access of stored resources
Publication Date: 2024.06.20 TRUIST BANK
  • US20240202723A1 patent drawing
  • US20240202723A1 patent drawing
  • US20240202723A1 patent drawing

AI summary

Systems and methods receive, via a network, stored user data comprising a history of data inputs associated with a user. Further, a deployed machine learning model is applied to the received user data, the applying including predicting whether to provide the user with access to restricted resource(s). The systems and methods determine to provide the user with access to the restricted resource(s) and based thereon: (i) transmit a signal for providing a physical apparatus that is capable of accessing the one or more restricted resources, and (ii) generate a transitory virtual resource access, the transitory virtual resources access comprising a code to access the restricted resource(s). An electronic transmission is distributed to a user device, the electronic transmission including access to the generated transitory virtual resource access.