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Dell Meeting Scheduling Patent US12602664B2 Granted Apr 14

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Summary

The USPTO granted Dell Products L.P. Patent US12602664B2 for an intelligent meeting timeslot analysis and recommendation system that uses machine learning to predict attendee meeting acceptance levels and determine overall meeting acceptance likelihood. The patent contains 20 claims under CPC classification G06Q 10/10 and was filed on March 14, 2023.

Published by USPTO on changeflow.com . Detected, standardized, and enriched by GovPing. Review our methodology and editorial standards .

What changed

The USPTO granted Dell Products L.P. Patent US12602664B2, covering a methodology for analyzing meeting timeslots using machine learning models to predict attendee acceptance levels based on organizer, date, time, subject, and attendee data. The system determines an overall acceptance level of a meeting based on predicted likelihood of attendees joining, then sends this information in response to a timeslot analysis request. The patent contains 20 claims.

Competitors developing meeting scheduling, calendar management, or AI-driven productivity software should be aware that Dell Products L.P. now holds exclusive rights to this specific methodology. Organizations using or licensing meeting scheduling tools may wish to review whether any third-party scheduling software potentially infringes this patent. The patent does not impose obligations on the general public but establishes enforceable intellectual property rights that could affect competitive product development in the scheduling software space.

Archived snapshot

Apr 19, 2026

GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.

← USPTO Patent Grants

Intelligent meeting timeslot analysis and recommendation

Grant US12602664B2 Kind: B2 Apr 14, 2026

Assignee

Dell Products L.P.

Inventors

Ajay Maikhuri, Dhilip Kumar

Abstract

An example methodology includes receiving a request to analyze a timeslot of a meeting and determining meeting details, wherein the meeting details include an organizer of the meeting, a date of the meeting, a time of the meeting, a subject of the meeting, and one or more attendees of the meeting. The method also includes predicting, using a machine learning model, an attendee meeting acceptance level for each attendee of the one or more attendees. The method further includes determining an acceptance level of the meeting based on likelihood of the one or more attendees joining the meeting, wherein the likelihood of the one or more attendees joining the meeting is based at least on the predicted attendee meeting acceptance levels for the one or more attendees, and sending information about the acceptance level of the meeting in a response to the request to analyze the timeslot of the meeting.

CPC Classifications

G06Q 10/10

Filing Date

2023-03-14

Application No.

18183346

Claims

20

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Last updated

Classification

Agency
USPTO
Published
April 14th, 2026
Instrument
Rule
Legal weight
Binding
Stage
Final
Change scope
Minor
Document ID
US12602664B2

Who this affects

Applies to
Technology companies
Industry sector
5112 Software & Technology
Activity scope
Patent issuance IP licensing considerations
Geographic scope
United States US

Taxonomy

Primary area
Intellectual Property
Operational domain
Legal
Topics
Artificial Intelligence Consumer Protection

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