US 12,229,728 B2
Systems and methods for repurposing paid time off
Adam P. Gordon, Miami, FL (US); and Ulises I. Orozco, Miami, FL (US)
Assigned to PTO Genius, LLC, Miami, FL (US)
Filed by PTO Genius, LLC, Miami, FL (US)
Filed on Mar. 2, 2023, as Appl. No. 18/177,167.
Application 18/177,167 is a continuation of application No. 17/738,193, filed on May 6, 2022, granted, now 11,625,690.
Application 17/738,193 is a continuation of application No. 17/348,062, filed on Jun. 15, 2021, granted, now 11,704,627.
Application 17/348,062 is a continuation of application No. 17/085,036, filed on Oct. 30, 2020, granted, now 11,068,849, issued on Jul. 20, 2021.
Claims priority of provisional application 62/928,205, filed on Oct. 30, 2019.
Prior Publication US 2023/0316232 A1, Oct. 5, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06Q 10/00 (2023.01); G06Q 10/1057 (2023.01); G06Q 40/12 (2023.01); G06Q 50/14 (2012.01)
CPC G06Q 10/1057 (2013.01) [G06Q 40/125 (2013.12); G06Q 50/14 (2013.01)] 21 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
obtaining paid time off (PTO) information in real time, wherein the PTO information corresponds to an employer, and wherein the PTO information indicates a set of group PTO conversions performed by an employee group associated with the employer;
training a machine learning algorithm, wherein the machine learning algorithm is trained using one or more datasets including workforce PTO conversions performed by a workforce associated with the employer over a period of time and insights corresponding to the workforce PTO conversions;
identifying one or more issues associated with the set of group PTO conversions;
generating a set of recommendations for benefits extendable to the employee group, wherein the set of recommendations is generated by processing the PTO information and the one or more issues through the machine learning algorithm; and
updating an interface to indicate the one or more issues and the set of recommendations.