IP Library Granted Patent US 11,636,436
Granted Patent B2
US 11,636,436 · App. 17/738,208 · Granted Apr 25, 2023

Systems and methods for repurposing paid time off

Inventors: Adam P. Gordon (Miami, FL); Ulises I. Orozco (Miami, FL)
Assignee: PTO GENIUS, LLC
G06Q10/1057G06Q40/125G06Q50/14
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 11,636,436
App. No.
17/738,208
Granted
Apr 25, 2023
Kind
B2
Abstract

The present disclosure relates generally to utilizing paid time off. In one example, the systems and methods described herein may provide an infrastructure to repurpose paid time off into other uses, such as cash, travel, bill payments, and the like.

Claims (83)

1. A method comprising:

obtaining a request to repurpose an amount of a paid time off benefit, wherein the request corresponds to a requesting employee associated with an employer workforce;

presenting an option for donating the amount of the paid time off benefit to a paid time off pool, wherein the option is generated using information associated with the requesting employee as input to a machine learning algorithm, and wherein the machine learning algorithm is trained using historical selections from options generated using employer workforce information;

receiving a selection of the option for donating the amount of the paid time off benefit to the paid time off benefit pool;

updating an employer system to indicate a new amount of the paid time off benefit available to the requesting employee and to add the amount of the paid time off benefit to the paid time off benefit pool;

updating the machine learning algorithm, wherein the machine learning algorithm is updated using the donation request and the historical selections from the options to generate an updated machine learning algorithm; and

generating one or more recommendations for benefits extendable to the employer workforce for improving workforce quality of life, wherein the one or more recommendations are generated by the updated machine learning algorithm using the donation request and the historical selections.

2. The method of claim 1 , wherein the request includes an identifier corresponding to a recipient employee to which the amount of the paid time off benefit is to be provided, and wherein the option is presented as a result of the recipient employee not being eligible for the amount of the paid time off benefit.

3. The method of claim 1 , further comprising:

identifying a policy associated with the requesting employee, wherein the policy defines a set of parameters corresponding to a threshold amount of the paid time off benefit that can be donated; and

automatically approving the selection as a result of the amount of the paid time off benefit being less than the threshold amount.

4. The method of claim 1 , wherein:

the selection is defined using a monetary value corresponding to the amount of the paid time off benefit; and

the method further comprises:

calculating a temporal value corresponding to the amount of the paid time off benefit, wherein the temporal value is calculated using the monetary value and a pay rate associated with the requesting employee; and

adding the temporal value to the paid time off benefit pool.

5. The method of claim 1 , wherein:

the selection is defined using a temporal value corresponding to the amount of the paid time off benefit; and

the method further comprises:

calculating a monetary value corresponding to the amount of the paid time off benefit, wherein the monetary value is calculated using the temporal value and a pay rate associated with the requesting employee; and

adding the monetary value to the paid time off benefit pool.

6. The method of claim 1 , further comprising:

obtaining a purchase request to perform a purchase from the paid time off benefit pool, wherein the purchase request corresponds to a purchasing employee associated with the employer workforce;

determining a pay rate associated with the purchasing employee; and

updating the employer system to indicate a new amount of the paid time off benefit available to the purchasing employee and to reduce the paid time off benefit pool according to the purchase request.

7. The method of claim 1 , further comprising:

transmitting a request to determine whether the selection is approved, wherein when the request is received by the employer system, the employer system provides a response indicating that the selection is approved.

8. A system, including:

one or more processors; and

memory including instructions that, as a result of being executed by the one or more processors, cause the system to:

obtain a request to repurpose an amount of a paid time off benefit, wherein the request corresponds to requesting employee associated with an employer workforce;

present an option for donating the amount of the paid time off benefit to a paid time off pool, wherein the option is generated using information associated with the requesting employee as input to a machine learning algorithm, and wherein the machine learning algorithm is trained using historical selections from options generated using employer workforce information;

receive a selection of the option for donating the amount of the paid time off benefit to the paid time off benefit pool;

update an employer system to indicate a new amount of the paid time off benefit available to the requesting employee and to add the amount of the paid time off benefit to the paid time off benefit pool;

update the machine learning algorithm, wherein the machine learning algorithm is updated using the donation request and the historical selections from the options to generate an updated machine learning algorithm; and

generate one or more recommendations for benefits extendable to the employer workforce for improving workforce quality of life, wherein the one or more recommendations are generated by the updated machine learning algorithm using the donation request and the historical selections.

9. The system of claim 8 , wherein the request includes an identifier corresponding to a recipient employee to which the amount of the paid time off benefit is to be provided, and wherein the option is presented as a result of the recipient employee not being eligible for the amount of the paid time off benefit.

10. The system of claim 8 , wherein the instructions further cause the system to:

identify a policy associated with the requesting employee, wherein the policy defines a set of parameters corresponding to a threshold amount of the paid time off benefit that can be donated; and

automatically approve the selection as a result of the amount of the paid time off benefit being less than the threshold amount.

11. The system of claim 8 , wherein:

the selection is defined using a monetary value corresponding to the amount of the paid time off benefit; and

the instructions further cause the system to:

calculate a temporal value corresponding to the amount of the paid time off benefit, wherein the temporal value is calculated using the monetary value and a pay rate associated with the requesting employee; and

add the temporal value to the paid time off benefit pool.

12. The system of claim 8 , wherein:

the selection is defined using a temporal value corresponding to the amount of the paid time off benefit; and

the instructions further cause the system to:

calculate a monetary value corresponding to the amount of the paid time off benefit, wherein the monetary value is calculated using the temporal value and a pay rate associated with the requesting employee; and

add the monetary value to the paid time off benefit pool.

13. The system of claim 8 , wherein the instructions further cause the system to:

obtain a purchase request to perform a purchase from the paid time off benefit pool, wherein the purchase request corresponds to a purchasing employee associated with the employer workforce;

determine a pay rate associated with the purchasing employee; and

update the employer system to indicate a new amount of the paid time off benefit available to the purchasing employee and to reduce the paid time off benefit pool according to the purchase request.

14. The system of claim 8 , wherein the instructions further cause the system to:

transmit a request to determine whether the selection is approved, wherein when the request is received by the employer system, the employer system provides a response indicating that the selection is approved.

15. A non-transitory, computer-readable storage medium storing thereon executable instructions that, as a result of being executed by one or more processors of a computer system, cause the computer system to:

obtain a request to repurpose an amount of a paid time off benefit, wherein the request corresponds to requesting employee associated with an employer workforce;

present an option for donating the amount of the paid time off benefit to a paid time off pool, wherein the option is generated using information associated with the requesting employee as input to a machine learning algorithm, and wherein the machine learning algorithm is trained using historical selections from options generated using employer workforce information;

receive a selection of the option for donating the amount of the paid time off benefit to the paid time off benefit pool;

update an employer system to indicate a new amount of the paid time off benefit available to the requesting employee and to add the amount of the paid time off benefit to the paid time off benefit pool;

update the machine learning algorithm, wherein the machine learning algorithm is updated using the donation request and the historical selections from the options to generate an updated machine learning algorithm; and

generate one or more recommendations for benefits extendable to the employer workforce for improving workforce quality of life, wherein the one or more recommendations are generated by the updated machine learning algorithm using the donation request and the historical selections.

16. The non-transitory, computer-readable storage medium of claim 15 , wherein the request includes an identifier corresponding to a recipient employee to which the amount of the paid time off benefit is to be provided, and wherein the option is presented as a result of the recipient employee not being eligible for the amount of the paid time off benefit.

17. The non-transitory, computer-readable storage medium of claim 15 , wherein the executable instructions further cause the computer system to:

identify a policy associated with the requesting employee, wherein the policy defines a set of parameters corresponding to a threshold amount of the paid time off benefit that can be donated; and

automatically approve the selection as a result of the amount of the paid time off benefit being less than the threshold amount.

18. The non-transitory, computer-readable storage medium of claim 15 , wherein:

the selection is defined using a monetary value corresponding to the amount of the paid time off benefit; and

the executable instructions further cause the computer system to:

calculate a temporal value corresponding to the amount of the paid time off benefit, wherein the temporal value is calculated using the monetary value and a pay rate associated with the requesting employee; and

add the temporal value to the paid time off benefit pool.

19. The non-transitory, computer-readable storage medium of claim 15 , wherein:

the selection is defined using a temporal value corresponding to the amount of the paid time off benefit; and

the executable instructions further cause the computer system to:

calculate a monetary value corresponding to the amount of the paid time off benefit, wherein the monetary value is calculated using the temporal value and a pay rate associated with the requesting employee; and

add the monetary value to the paid time off benefit pool.

20. The non-transitory, computer-readable storage medium of claim 15 , wherein the executable instructions further cause the computer system to:

obtain a purchase request to perform a purchase from the paid time off benefit pool, wherein the purchase request corresponds to a purchasing employee associated with the employer workforce;

determine a pay rate associated with the purchasing employee; and

update the employer system to indicate a new amount of the paid time off benefit available to the purchasing employee and to reduce the paid time off benefit pool according to the purchase request.

21. The non-transitory, computer-readable storage medium of claim 15 , wherein the executable instructions further cause the computer system to:

transmit a request to determine whether the selection is approved, wherein when the request is received by the employer system, the employer system provides a response indicating that the selection is approved.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 6, 2022
From: GORDON, ADAM P.; OROZCO, ULISES I.
To: PTO GENIUS, LLC
Reel/Frame 059838/0123 →
Continuity (4)
Continuation 17348062 · Jun 15, 2021
Continuation 17085036 · Oct 30, 2020
Provisional Application 62928205 · Oct 30, 2019
Related Publication 20220270053A1 · Aug 25, 2022