US 12,192,073 B2
Artificial intelligence based service quality response system
Ananth Siva, Sydney (AU); Satish Medapati, Bangalore (IN); Aravind Kumar Abbena, Bangalore (IN); Saumya Tripathi, Bangalore (IN); Naresh Vemula, Bangalore (IN); Dipesh Gupta, Bangalore (IN); and Amit Modi, Fremont, CA (US)
Assigned to Movius Interactive Corporation, Duluth, GA (US)
Filed by Movius Interactive Corporation, Duluth, GA (US)
Filed on May 17, 2022, as Appl. No. 17/746,260.
Prior Publication US 2023/0379229 A1, Nov. 23, 2023
Int. Cl. H04L 41/50 (2022.01); H04L 41/16 (2022.01); H04L 41/5067 (2022.01)
CPC H04L 41/5067 (2013.01) [H04L 41/16 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for automatically adjusting a mobile telephone service based on analyzing user feedback, wherein the mobile telephone service is provided by a mobile telephone service provider, the method comprising the actions of:
the mobile telephone service provider facilitating a mobile telephone service taking the form of a communication session between a mobile telephone and another device;
providing a user interface on a display of the mobile telephone to enable users to provide a feedback pertaining to the quality of service of the communication session provided by the mobile telephone service system;
the mobile telephone receiving real-time actuations of the user interface, wherein the real-time actuations indicate feedback relevant to a quality of service the communication session;
the mobile telephone forwarding data indicative of the received actuations to a server;
the server receiving the data indicative of the received actuations;
the server obtaining call data records associated with the communication session, wherein the call data records comprises telecommunication events initiated by or to the mobile telephone, system information over which the telecommunications events take place, meta data identifying a type of the mobile telephone, a location of the mobile telephone, identification of the application utilized by the mobile telephone, and activity logs collected by the system that contain information about telecommunications traffic;
process the received data indicative of the received actuations and the obtained call records associated with the communications session;
the server providing the processed received data and the obtained call data records to an artificial intelligence (AI) engine;
the AI engine utilizing decision trees to process the received data and the obtained call records to generate adjustment recommendations based on identified trends, predictions and conclusions about the quality of service of the communication session related to the received data and the obtained call records;
provide the adjustment recommendation to the server; and
in response to the generated adjustment recommendations, the server automatically adjusting the operation of telecommunications equipment utilized by the mobile telephone service provider to provide the communication session so as to improve the quality of service for the communication session based at least in part on the processed received data and call data records.