Macroeconomic and predictive analytics based on toll-free number utilization

• US 9,654,649 B2
• Filed: 12/30/2015
• Issued: 05/16/2017
• Est. Priority Date: 11/01/2014
• Status: Active Grant

• Current Assignee: Somos, Inc. (Lumen Technologies, Inc.)
• Original Assignee: Somos, Inc. (Lumen Technologies, Inc.)
• Inventors: Sharma, Sriram
• Primary Examiner(s): ADDY, THJUAN KNOWLIN
• Application Number:
  US14/984,698
• Publication Number:
  US 20160127549A1
• Time in Patent Office: 503 Days
• Field of Search: 37911204, 37911424, 37920112, 370352
• CPC Class Codes: G06F 16/24573 using data annotations, e.g. user-defined metadata
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: H04L 45/125 based on throughput or bandwidth
• CPC Class Codes: H04L 45/22 Alternate routing
• CPC Class Codes: H04M 15/08 Metering calls to called party , i.e. B-party charged for the communication
• CPC Class Codes: H04M 15/09 Third party charged communications
• CPC Class Codes: H04M 15/47 Fraud detection or prevention means
• CPC Class Codes: H04M 15/58 based on statistics of usage or network monitoring
• CPC Class Codes: H04M 15/72 by the user
• CPC Class Codes: H04M 15/755 Account identification
• CPC Class Codes: H04M 15/8061 Selecting least cost route depending on origin or type of service
• CPC Class Codes: H04M 15/8083 involving reduced rates or discounts, e.g. time-of-day reductions or volume discounts
• CPC Class Codes: H04M 15/8214 Data or packet based
• CPC Class Codes: H04M 2203/555 Statistics, e.g. about subscribers but not being call statistics
• CPC Class Codes: H04M 3/2218 Call detail recording
• CPC Class Codes: H04M 3/2263 Network management
• CPC Class Codes: H04M 3/36 Statistical metering, e.g. recording occasions when traffic exceeds capacity of trunks
• CPC Class Codes: H04M 3/367 Traffic or load control
• CPC Class Codes: H04M 3/42153 by subscriber
• CPC Class Codes: H04M 3/42161 via computer interface
• CPC Class Codes: H04M 3/42178 : by downloading data to substation equipment
• CPC Class Codes: H04M 3/42306 : Number translation services, e.g. premium-rate, freephone or vanity number services
• CPC Class Codes: H04M 3/42357 : where the information is provided to a monitoring entity such as a potential calling party or a call processing server
• CPC Class Codes: H04M 3/5175 : Call or contact centers supervision arrangements
• CPC Class Codes: H04Q 3/0087 : Network testing or monitoring arrangements
• CPC Class Codes: H04Q 3/0091 : Congestion or overload control
• CPC Class Codes: H04W 4/14 : Short messaging services, e.g. short message services [SMS] or unstructured supplementary service data [USSD]
• CPC Class Codes: H04W 40/02 : Communication route or path selection, e.g. power-based or shortest path routing

Abstract

A predictive analytics model, that provides for overlaying indexing techniques and enriching the data with public domain and customer sentiment data to provide representation of a macroeconomic trend. Analysis of toll-free telecommunications data, such as call volume data to toll-free numbers owned by key federal agencies, month over month, may be used to develop an indicator of economic events, trends and correlates.

Claims

1. A method of distributing a macroeconomic data trend over a network to a remote client device, the method comprising:

providing a user interface dashboard to a user for installation on the remote client device;

receiving third party social media data;

modeling at least one of call duration or call count data with the third party social media data to derive a macroeconomic trend;

receiving a request from the remote client device to present the macroeconomic data trend;

generating an alert from the macroeconomic data trend that contains a stock name, stock price and a universal resource locator (URL), which specifies the location of the data source;

transmitting the alert over a communication channel to the remote client device associated with the user based upon a destination address and transmission schedule that is associated with the remote client device, wherein the alert activates the user interface dashboard to cause the alert to display on the remote client device and to enable connection with the user interface dashboard when the remote client device is activated.

2. The method of claim 1, wherein the macroeconomic trend is a measure of customer sentiment.

3. The method of claim 1, wherein the macroeconomic trend includes an economic prediction based at least in part on the macroeconomic trend.

4. The method of claim 3, wherein the economic prediction is a probability of an economic activity'"'"'s occurrence.

5. The method of claim 4, wherein the economic activity is increased consumer spending.

6. The method of claim 3, wherein the economic prediction is further associated with geographic data, wherein the geographic data is obtained at least in part from historical data relating to toll-free number usage.

7. The method of claim 3, wherein the economic prediction is further associated with geographic data, wherein the geographic data is obtained at least in part from historical data relating to social media usage.