US 11,900,391 B2
Methods and systems for connecting with a customer service representative for a financial transaction
Rajesh Pralhadrao Mahalle, Pune (IN); Jitendra Singh Wadhwa, Hadapsar (IN); and Surbhi Malhotra, Pune (IN)
Assigned to MASTERCARD INTERNATIONAL INCORPORATED, New York, NY (US)
Filed by Mastercard International Incorporated, New York, NY (US)
Filed on Mar. 2, 2021, as Appl. No. 17/189,639.
Claims priority of application No. 202041008894 (IN), filed on Mar. 2, 2020.
Prior Publication US 2021/0272127 A1, Sep. 2, 2021
Int. Cl. G06Q 20/42 (2012.01); G06Q 30/02 (2023.01); H04L 9/32 (2006.01); G06Q 20/38 (2012.01); H04M 3/51 (2006.01)
CPC G06Q 20/425 (2013.01) [G06Q 20/386 (2020.05); G06Q 30/0281 (2013.01); H04L 9/3231 (2013.01); H04M 3/5141 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A computer-implemented method, the method comprising:
sending, by a server system, a message related to a financial transaction to a user device of a user using a messaging protocol, the message comprising at least one option to receive a response to the message from the user device for connecting with a customer service representative;
receiving, by the server system, the response to the message from the user device_as a multimedia message, the multimedia message comprising an authentication data;
verifying, by the server system, the authentication data;
upon successful verification of the authentication data, parsing the multimedia message, by the server system, to electronically extract at least one context of the message from the response, wherein parsing the multimedia message includes extracting built-in geo location tags from an image captured by the user device; and
sending, by the server system, the at least one context to a Customer Service Centre (CSC) server, wherein the CSC server is configured to assign the customer service representative to the user based on the at least one context for an upcoming conversation about the message, wherein the assignment of the customer service representative is based on the built-in geo location tags extracted from the image.