Dell Meeting Scheduling Patent US12602664B2 Granted Apr 14
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.
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.
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Apr 19, 2026GovPing 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.
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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