CHILD TOKENS FOR IMPROVED TRANSACTION DATA STORAGE, AND REDUCED TRANSACTION INFORMATION PAYLOADS BASED ON TRANSACTION PREDICTIONS FOR QUICKER COMPUTERIZED PAYMENT PROCESSING

Patent №

US 11,636,396

Granted

2023-04-25

Filed 2020

Owner

PAYPAL, INC.

Lab

AI components

2

ml · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16999271

Systems, computer-implemented methods, apparatus, and/or computer program products that facilitate implementation of child tokens for improved transaction data storage and/or implementation of reduced transaction information payloads for quicker computerized payment processing are provided. In various embodiments, a system can comprise a scanner component that can scan a financial instrument during a current transaction, thereby extracting financial instrument data associated with the current transaction. In various instances, the system can further comprise a logging component, that can identify in an electronic transaction log a first data entry that corresponds to a previous transaction. In various cases, the first data entry can list previous financial instrument data associated with the previous transaction, and the previous financial instrument data can match the current financial instrument data. In various aspects, the system can further comprise a token component that can store in a second data entry of the electronic transaction log an electronic token. In various cases, the second data entry can correspond to the current transaction, the electronic token can reference the first data entry, and the electronic token can be stored instead of the current financial instrument data. In various embodiments, a system can comprise a reference identifier database that can correlate a plurality of users to a plurality of financial instrument data and to a plurality of reference identifiers. In various instances, the system can further comprise a prediction component that can predict, via a trained machine learning classifier, that a user from a the plurality of users is likely to initiate a transaction within a threshold period of time. In various aspects, the system can further comprise a transmitter component that can transmit an instruction to a computerized transaction settlement system which can cause the computerized transaction settlement system to cache financial instrument data from the plurality of financial instrument data that corresponds to the predicted user. In various cases, the transmitter component can transmit to a computerized financial instrument scanning system a reference identifier from the set of reference identifiers that corresponds to the predicted user. In various aspects, the system can further comprise a receiver component that can receive a reduced transaction information payload from the computerized financial instrument scanning system after the computerized financial instrument scanning system scans a financial instrument associated with the reference identifier corresponding to the predicted user.

Machine learningAI hardwareG06N 20/00G06F 12/0802G06F 16/24552G06K 7/1413G06N 3/0499G06N 3/08G06N 3/09G06N 5/048+3 more

AI classification

AI hardware0.99
Machine learning0.93
Natural language0.05
Vision0.03
Planning0.02
Knowledge representation0.01
Speech0.00
Evolutionary computation0.00

Ownership

PAYPAL, INC.

assignment · 535600274

Assignors

SARIN, PANKAJ

On an employer assignment, the assignors are typically the inventors.

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