The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 30, 2026

Filed:

Jan. 18, 2024
Applicant:

Block, Inc., Oakland, CA (US);

Inventors:

Brian Mullins, San Francisco, CA (US);

Jeana Williams, San Francisco, CA (US);

Natalie Tarabay, San Francisco, CA (US);

Assignee:

Block, Inc., Oakland, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G02B 27/01 (2006.01); G06F 3/01 (2006.01); G06F 3/0346 (2013.01); G06Q 20/08 (2012.01); G06Q 20/20 (2012.01); G06Q 40/08 (2012.01);
U.S. Cl.
CPC ...
G02B 27/0172 (2013.01); G02B 27/017 (2013.01); G06F 3/011 (2013.01); G06F 3/012 (2013.01); G06F 3/0346 (2013.01); G06Q 20/085 (2013.01); G06Q 20/204 (2013.01); G06Q 40/08 (2013.01); G02B 2027/0125 (2013.01); G02B 2027/0134 (2013.01); G02B 2027/0138 (2013.01); G02B 2027/014 (2013.01); G02B 2027/0178 (2013.01); G02B 2027/0181 (2013.01);
Abstract

Intelligent application of reserves to transactions is described. In an example, server(s) associated with a payment processing service receives first transaction data associated with a plurality of first transactions, wherein the first transaction data includes indications, for an individual first transaction, of whether a chargeback request occurred and item(s) and a customer associated with the transaction. In an example, the servers process the plurality of first transactions. A predictive model is trained based at least in part on the first transaction data. Second transaction data is received from a POS device of a second merchant associated with a second transaction. A value reflective of a level of risk for the second transaction is determined based on inputting an item or customer associated with the second transaction into the predictive model.


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