IP Library Granted Patent US 10,791,225
Granted Patent B2
US 10,791,225 · App. 16/675,285 · Granted Sep 29, 2020

Toll-free numbers metadata tagging, analysis and reporting

Inventor: Sriram Sharma (Herndon, VA)
Assignee: Somos, Inc.
H04M15/8061G06F16/24573G06Q30/0201H04L45/125H04L45/22H04M3/2218H04M3/2263H04M3/36H04M3/367H04M3/42153H04M3/42161H04M3/42178H04M3/42306H04M3/42357H04M3/5175H04M15/08H04M15/09H04M15/47H04M15/58H04M15/72H04M15/755H04M15/8083H04M15/8214H04Q3/0087H04Q3/0091H04W4/14H04W40/02H04M2203/555
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Quick Facts
Patent No.
US 10,791,225
App. No.
16/675,285
Granted
Sep 29, 2020
Kind
B2
Abstract

A toll-free tagging service is provided that includes a subscription-based service that is made available to responsible organizations, consumers and businesses. The toll-free tagging service may provide the ability to tag a toll-free number (or group of numbers), and once a number is tagged, to track updates to that number that may then be distributed to customers through emails/text messages or other means. Subscribers of the toll-free tagging service may also have the ability to create, view, update and delete tags through a web application, mobile application, or some other user interface.

Claims (35)

1. A method comprising:

receiving first data relating to at least one of a dip rate and a dip volume that is associated with a telecommunications number;

receiving identity data relating to a usage of the telecommunications number;

analyzing the first data and identity data to determine that the usage of the telecommunications number is indicative of a fraudulent call activity; and

assigning a call route to the telecommunications number the call route adapted to reduce a cost associated with the fraudulent call activity.

2. The method of claim 1 , wherein the identity data is CNAM data.

3. The method of claim 1 , wherein the identity data comprises data related to a category of telecommunication numbers.

4. The method of claim 3 , wherein the category is related to an industry segment.

5. The method of claim 1 , wherein the identity data comprises data relating to popularity as derived at least in part from a search history associated with the telecommunications number.

6. The method of claim 1 , wherein the identity data comprises location information associated with the telecommunications number.

7. The method of claim 1 , wherein the identity data comprises financial information associated with the telecommunications number.

8. The method of claim 1 , wherein the identity data comprises data relating to a plurality of social media user profiles.

9. The method of claim 8 , wherein the plurality of social media user profiles comprises demographic data.

10. The method of claim 8 , wherein the plurality of social media user profiles comprises financial data.

11. The method of claim 8 , wherein the plurality of social media user profiles comprises geographic data.

12. A system comprising:

at least one computer comprising at least one processor and at least one memory,

the at least one processor configured to:

receive first data relating to at least one of a dip rate and a dip volume that is associated with a telecommunications number;

receive identity data relating to a usage of the telecommunications number;

analyze the first data and identity data to determine that the usage of the telecommunications number is indicative of a fraudulent call activity; and

assign a call route to the telecommunications number the call route adapted to reduce a cost associated with the fraudulent call activity.

13. The system of claim 12 , wherein the identity data is CNAM data.

14. The system of claim 12 , wherein the identity data comprises data related to a category of telecommunication numbers.

15. The system of claim 14 , wherein the category is related to an industry segment.

16. The system of claim 12 , wherein the identity data comprises data relating to popularity as derived at least in part from a search history associated with the telecommunications number.

17. The system of claim 12 , wherein the identity data comprises location information associated with the telecommunications number.

18. The system of claim 12 , wherein the identity data comprises financial information associated with the telecommunications number.

19. The system of claim 12 , wherein the identity data comprises data relating to a plurality of social media user profiles.

20. A method comprising:

receiving first data relating to at least one of a dip rate and a dip volume that is associated with a telecommunications number;

receiving identity data relating to a usage of the telecommunications number;

analyzing the first data and identity data to create a fraud rating metadata tag associated with the telecommunications number;

determining that the usage of the telecommunications number is indicative of a fraudulent call activity based, at least on part, on the fraud rating metadata tag; and

assigning a call route to the telecommunications number the call route adapted to reduce a cost associated with the fraudulent call activity.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 10, 2020
From: SHARMA, SRIRAM
To: SOMOS, INC.
Reel/Frame 052894/0448 →
Continuity (9)
Continuation 16177842 · Nov 1, 2018
Continuation 15720922 · Sep 29, 2017
Continuation 14984436 · Dec 30, 2015
Continuation 14960312 · Dec 4, 2015
Continuation In Part 14928575 · Oct 30, 2015
Provisional Application 62073976 · Nov 1, 2014
Provisional Application 62088406 · Dec 5, 2014
Provisional Application 62172791 · Jun 8, 2015
Related Publication 20200076957A1 · Mar 5, 2020
Cited By (3)
US 12,314,968 US 12,323,552 US 12,671,990