Granted Patent B2

US 12,223,531 · App. 18/196,174 · Granted Feb 11, 2025

Inventors: Joseph Allen Steele, III (Plumas Lake, CA); Josh David Schumacher (Sacramento, CA); Lukas Duncan Simonis (Sacramento, CA); Tra Van Nhat (Longmont, CO)

Assignee: Quick Quack Car Wash Holdings, LLC

G06Q30/0621G06F3/0482G06F3/0484G06F9/451G06N20/00

Abstract

Claims (56)

1. An apparatus for a personalized user interface, the apparatus comprising:

at least a processor; and

a memory communicatively connected to the at least processor, the memory containing instructions configuring the at least processor to:

receive user data, wherein receiving the user data further comprises authenticating a user, wherein authenticating the user further comprises:

comparing actual time elapsed for a first data packet to be transmitted from a computing device associated with the user to the at least a processor and a second data packet transmitted from the at least a processor to the user to expected time elapsed; and

authenticating the user as a function of the comparison;

classify the user data to a membership tier;

generate a unique token as a function of the membership tier, wherein the unique token enables the user to:

access at least a discount code, wherein the at least a discount code comprises one or more character strings associated with reduced prices of at least a service;

access a plurality of car wash preferences associated with the user; and

communicate with at least a customer service of a facility, wherein the customer service response is configured as a function of the membership tier;

associate the unique token with a plurality of service identifiers;

generate a personalized user interface as a function of a modified token, wherein:

generating the personalized user interface further comprises generating a plurality of event handlers and associated display elements, wherein each event handler is associated with a service identifier of the plurality of service identifiers, and each display element is associated with an event handler of the plurality of event handlers; and

the personalized user interface configures a user device to display each display element;

receive, from the user device, an activation of an event handler of the plurality of event handlers; and

initiate, as a function of the activation, an automated process.

2. The apparatus of claim 1 , wherein generating the plurality of event handlers comprises associating each event handler of the plurality of event handlers with the unique token.

3. The apparatus of claim 1 , wherein classifying the user data further comprises generating a machine learning model, wherein generating the machine learning model further comprises:

creating a training set, wherein the training set comprises exemplary user data correlated to exemplary membership tiers;

training the machine learning model using the training set; and

generating the machine learning model as a function of the user data.

4. The apparatus of claim 1 , wherein generating the unique token comprises generating a non-fungible token (NFT).

5. The apparatus of claim 4 , wherein generating the NFT further comprises storing the NFT on an immutable sequential listing.

6. The apparatus of claim 1 , wherein generating the unique token comprises storing a modified copy of an immutable version of the unique token.

7. The apparatus of claim 1 , wherein generating the plurality of event handlers further comprises selecting at least a graphical template.

8. The apparatus of claim 1 , wherein the automated process comprises a car wash experience.

9. The apparatus of claim 8 , wherein the car wash experience comprises animations.

10. The apparatus of claim 8 , wherein the car wash experience comprises a light show.

11. A method for generating a personalized user interface, the method comprising:

receiving, by a processor, user data, wherein receiving the user data further comprises authenticating a user, wherein authenticating the user further comprises:

comparing actual time elapsed for a first data packet to be transmitted from a computing device associated with the user to the at least a processor and a second data packet transmitted from the at least a processor to the user to expected time elapsed; and

authenticating the user as a function of the comparison;

classifying, by the processor, the user data to a membership tier;

generating, by the processor, a unique token as a function of the membership tier, wherein the unique token enables the user to:

access to discount codes, and wherein the discount codes comprises character strings associated with reduced prices of services;

access a plurality of car wash preferences associated with the user; and

communicate with at least a customer service of a facility, wherein the customer service response is configured as a function of the membership tier;

associating, by the processor, the unique token with a plurality of service identifiers;

generating, by the processor, a personalized user interface as a function of a modified token, wherein generating the personalized user interface further comprises:

generating a plurality of event handlers and associated display elements, wherein each event handler is associated with a service identifier of the plurality of service identifiers, and each display element is associated with an event handler of the plurality of event handlers; and

the personalized user interface configures a user device to display each display element;

receiving, from the user device, an activation of an event handler of the plurality of event handlers; and

initiating, as a function of the activation, an automated process.

12. The method of claim 11 , wherein generating the plurality of event handlers comprises associating each event handler of the plurality of event handlers with the unique token.

13. The method of claim 11 , wherein classifying the user data further comprises generating a machine learning model, wherein generating the machine learning model further comprises:

creating a training set, wherein the training set comprises exemplary user data correlated to exemplary membership tiers;

training the machine learning model using the training set; and

generating the machine learning model as a function of the user data.

14. The method of claim 11 , wherein generating the unique token comprises generating a non-fungible token (NFT).

15. The method of claim 14 , wherein generating the NFT further comprises storing the NFT on an immutable sequential listing.

16. The method of claim 11 , wherein generating the unique token comprises storing a modified copy of an immutable version of the unique token.

17. The method of claim 11 , wherein generating the plurality of event handlers further comprises selecting at least a graphical template.

18. The method of claim 11 , wherein initiating the automated process comprises initiating a car wash experience.

19. The method of claim 18 , wherein initiating the car wash experience comprises initiating animations.

20. The method of claim 18 , wherein initiating the car wash experience comprises initiating a light show.

Assignments (3)

Continuity (1)

References Cited (25)