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:
Sep. 01, 2026

Filed:

Apr. 26, 2024
Applicant:

Dell Products L.p., Round Rock, TX (US);

Inventors:

Jeffrey S. Vah, Round Rock, TX (US);

Ravi Shukla, Whitefield, IN;

Romulo Teixeira De Abreu Pinho, Niteroi, BR;

Adriana B. Prado, Niteroi, BR;

Aaron Sanchez, Austin, TX (US);

Bharathi Raja Kalyanasundaram, Dharmapuri, IN;

Edward Fraser, Newport, IE;

Assignee:

Dell Products L.P., Round Rock, TX (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/20 (2023.01);
U.S. Cl.
CPC ...
G06Q 10/20 (2013.01);
Abstract

Methods, apparatus, and processor-readable storage media for predicting device components for repair and/or replacement using artificial intelligence techniques are provided herein. An example computer-implemented method includes obtaining information pertaining to at least one device defect; defining multiple device component categories related to the device defect(s); determining one or more of the device component categories as associated with the device defect(s) by processing at least a first portion of the information using one or more artificial intelligence techniques; identifying one or more device components associated with at least a second portion of the information; predicting at least one of the identified device component(s), based on comparing the identified device component(s) and the one or more determined device component categories, as needing to be repaired and/or replaced in connection with at least a portion of the device defect(s); and performing one or more automated actions based on the predicting.


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