US 12,288,220 B2
Machine-learned attendance prediction for ticket distribution
Marc Eric Lore, New York, NY (US)
Assigned to Jump Platforms, Inc., Long Beach, CA (US)
Filed by Jump Platforms, Inc., Long Beach, CA (US)
Filed on Jun. 28, 2023, as Appl. No. 18/215,511.
Application 18/215,511 is a continuation of application No. 17/892,133, filed on Aug. 22, 2022, granted, now 11,790,386.
Application 17/892,133 is a continuation of application No. 17/109,098, filed on Dec. 1, 2020, granted, now 11,455,646, issued on Sep. 27, 2022.
Prior Publication US 2023/0342800 A1, Oct. 26, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06Q 30/00 (2023.01); G06N 20/00 (2019.01); G06Q 10/02 (2012.01); G06Q 30/0201 (2023.01); G06Q 30/0204 (2023.01)
CPC G06Q 30/0206 (2013.01) [G06N 20/00 (2019.01); G06Q 10/02 (2013.01); G06Q 30/0201 (2013.01); G06Q 30/0205 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
applying a machine-learned model to event information for a future event of an event type associated with a historical attendance, the machine-learned model configured to generate a predicted attendance for the future event;
identifying a number of tickets greater than a capacity of a venue of the future event based on the predicted attendance;
distributing, via a ticket exchange server, up to the identified number of tickets to prospective attendees of the future event, the distributed tickets identifying a section of the venue but not identifying a specific seat within the venue; and
in response to receiving a location of a mobile device including a distributed ticket captured by a GPS receiver of the mobile device indicating that the mobile device is located at the section identified by the distributed ticket within the venue, assigning, via the ticket exchange server, a seat within the section to the distributed ticket, and detecting a near-field signal transmitted by the mobile device identifying the distributed ticket to the seat within the section to physically unlock the seat.