IP Library › Granted Patent US 12,254,057
Granted Patent B1
US 12,254,057 · App. 18/953,470 · Granted Mar 18, 2025

Intelligent redirects

Inventors: Jizel Maddouri (New York, NY); Jacob M. Skinner (New York, NY); Matthew Ritonia (Arlington, VA)
Assignee: the dtx company
G06F16/9554G06K19/06037
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Quick Facts
Patent No.
US 12,254,057
App. No.
18/953,470
Granted
Mar 18, 2025
Kind
B1
Abstract

An intelligent redirect system for a quick response (“QR”) code derived unified resource location (“URL”). The system may include a plurality of website variants. Each website variant may present a landing page. Each landing page may correspond to the QR code. A backend server may receive the plurality of website variants from a user. A plurality of scans may be received from a plurality of scanners. A preconfigured algorithm may determine which website variant to direct to each of the plurality of scanners. A processor may derive scanner behavior for each website variant. An artificial intelligence (“AI”) model may build a new distribution pattern based on the scanner behavior. The new distribution pattern may be used to direct a website variant to the scanner.

Claims (35)

1. A method for optimizing redirect for a quick response (“QR”) code derived unified resource location (“URL”), said redirect comprising selecting a single website from among a plurality of websites as a target landing URL in response to a selection of the URL, the method comprising:

receiving from a user a plurality of website variants, each of said website variants that presents an alternative landing page, each of the alternative landing pages corresponding to the QR code;

receiving a plurality of scans of the QR code, each of said scans that navigates a scanner to one of the website variants, said one of the website variants being determined based on a preconfigured algorithm;

deriving scanner behavior for each of the website variants;

at an artificial intelligence (“AI”) engine, determining a new distribution pattern, said determining based on an aggregate of scanner behaviors with scanner conversions, said new distribution pattern for distributing the website variants;

ordering the website variants based on the new distribution pattern; and

reconfiguring the algorithm based on the new distribution pattern to present, in response to a scan, a highest-ranking website variant based on the reconfiguration.

2. The method of claim 1 wherein the scanner behavior further comprises a time of day the QR code has been scanned.

3. The method of claim 1 wherein the scanner behavior further comprises a season during which the QR code has been scanned.

4. The method of claim 1 wherein the scanner behavior further comprises an event at which the QR code has been scanned.

5. The method of claim 1 wherein the scanner behavior further comprises a location from where the code has been scanned.

6. The method of claim 1 wherein the AI engine minimizes the website variants based on the new distribution pattern.

7. The method of claim 1 wherein the aggregate of scanner behavior is derived using a message brokering or data streaming system.

8. The method of claim 1 wherein the preconfigured algorithm is reconfigured in real-time as each of the plurality of scans and associated events are received.

9. The method of claim 1 wherein, based on the new distribution pattern, the AI engine is configured to navigate the scanner to a specific website variant.

10. An intelligent redirect system for a quick response (“QR”) code derived unified resource location (“URL”), said intelligent redirect system comprising selecting a single website from among a plurality of websites as a target landing URL in response to a selection of the URL, the intelligent redirect system comprising:

a plurality of website variants, each of the website variants that presents an alternative landing page, each of the alternative landing pages corresponding to the QR code;

a backend server, said backend server for receiving, from a user, the plurality of website variants;

the QR code;

a plurality of scans of the QR code, each of said scans that directs a scanner to one of the website variants;

a preconfigured algorithm, the preconfigured algorithm for determining a website variant to direct to the scanner;

a processor, the processor configured to:

derive scanner behavior for each of the website variants, said scanner behavior comprising scanner conversions; and

an artificial intelligence (“AI”) model, the AI model configured to:

determine a new distribution pattern, said determine based on the derived scanner behavior, said new distribution pattern corresponding to an aggregate of scanner behaviors with scanner conversions;

order the website variants based on the new distribution pattern; and

reconfigure the algorithm based on the new distribution pattern to present, in response to a scan, a highest-ranking website variant based on the reconfiguration.

11. The system of claim 10 wherein the scanner behavior further comprises a time of day the QR code has been scanned.

12. The system of claim 10 wherein the scanner behavior further comprises a season during which the code has been scanned.

13. The system of claim 10 wherein the scanner behavior further comprises an event at which the code has been scanned.

14. The system of claim 10 wherein the scanner behavior further comprises a location from where the code has been scanned.

15. The system of claim 10 wherein the AI model minimizes the website variants based on the new distribution pattern.

16. The system of claim 10 wherein the aggregate of scanner behavior is derived using a message brokering or data streaming system.

17. The system of claim 10 wherein the preconfigured algorithm is reconfigured in real-time as each of the plurality of scans and associated events are received.

18. The system of claim 10 wherein, based on the new distribution pattern, the AI engine is configured to navigate the scanner to a specific website variant.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 20, 2024
From: MADDOURI, JIZEL; SKINNER, JACOB M.; RITONIA, MATTHEW
To: THE DTX COMPANY
Reel/Frame 069341/0122 →
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