USPTO Patent Grant: Automated Resource Prioritization using AI

ChangeBridge: Patent Grants - Business Methods (G06Q)

Published March 24th, 2026

Detected March 25th, 2026

Summary

The USPTO has granted a patent (US12586017B2) to Dell Products L.P. for automated resource prioritization using artificial intelligence techniques. The patent covers methods for processing user requests and existing supply data to optimize hardware resource allocation.

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What changed

The United States Patent and Trademark Office (USPTO) has issued patent US12586017B2 to Dell Products L.P. for an invention related to automated resource prioritization using artificial intelligence. The patent details methods and systems for creating a resource demand pool, prioritizing hardware resource demand and supply using AI, generating prioritization representations, and performing automated actions based on these representations.

This patent grant signifies a new intellectual property protection for AI-driven resource management technologies. While not a regulatory rule imposing obligations on other entities, it highlights innovation in the field. Companies developing or utilizing similar AI-based resource prioritization systems should be aware of this patent's claims, particularly concerning the processing of user requests, hardware resource data, and supply chain information.

Source document (simplified)

← USPTO Patent Grants

Automated resource prioritization using artificial intelligence techniques

Grant US12586017B2 Kind: B2 Mar 24, 2026

Assignee

Dell Products L.P.

Inventors

Parminder Singh Sethi, Lakshmi Nalam, Madhuri Dwarakanath, Manish Gupta

Abstract

Methods, apparatus, and processor-readable storage media for automated resource prioritization using artificial intelligence techniques are provided herein. An example computer-implemented method includes creating a resource demand pool associated with user requests pertaining to hardware resources; prioritizing demand of at least a portion of the hardware resources by processing, using artificial intelligence techniques, data associated with the hardware resources and data associated with the user requests; prioritizing supply of at least a portion of the hardware resources by processing, using the artificial intelligence techniques, data associated with the prioritized demand, data associated with existing supply of the at least a portion of the hardware resources, and historical data pertaining to user hardware resource returns; generating at least one prioritization representation associated with at least a portion of the hardware resources based on the prioritized demand and the prioritized supply; and performing automated actions based on the at least one prioritization representation.