US 11,961,014 B2
Generating and presenting user insights in association with user-to-user electronic communication
Anas Desouky, Toronto (CA); Nadia Ghobadipasha, Toronto (CA); Chengxi Yang, Toronto (CA); Zachary Mullins, Toronto (CA); Amit Sharma, Toronto (CA); Deepak Prakash Asrani, Toronto (CA); and Dicken Tak Kuen Leung, Toronto (CA)
Assigned to Royal Bank Of Canada, Toronto (CA)
Filed by ROYAL BANK OF CANADA, Toronto (CA)
Filed on Aug. 13, 2020, as Appl. No. 16/992,484.
Claims priority of provisional application 62/886,577, filed on Aug. 14, 2019.
Prior Publication US 2021/0049487 A1, Feb. 18, 2021
Int. Cl. G06F 3/048 (2013.01); G06F 3/04842 (2022.01); G06N 5/04 (2023.01); G06N 20/00 (2019.01); G06Q 10/107 (2023.01); G06Q 30/016 (2023.01); G06Q 30/0282 (2023.01); H04L 51/42 (2022.01)
CPC G06N 5/04 (2013.01) [G06F 3/04842 (2013.01); G06N 20/00 (2019.01); G06Q 10/107 (2013.01); G06Q 30/016 (2013.01); G06Q 30/0282 (2013.01); H04L 51/42 (2022.05)] 18 Claims
OG exemplary drawing
 
1. A computer-implemented method for presenting customer insights in association with an electronic customer relationship management tool, the method comprising:
presenting, to a user, a graphical user interface (GUI) having:
a first region having GUI elements of the customer relationship management tool, and
a second region having
a first set of GUI elements for presenting at least one customer insight, the second region displayed when the first region is displayed and proximate to the first region; and
a second set of GUI elements for receiving user feedback regarding the at least one customer insight;
receiving user input signals via the GUI elements of the first region, the user input signals comprising an identifier identifying a customer;
upon receiving the identifier identifying the customer:
displaying, to the user, at least one machine-learning derived insight relevant to the identified customer in the second region based on the received user input signals via the GUI elements of the first region, wherein the machine-learning derived insight relevant to the identified customer in the second region comprises an importance score of the insight;
receiving user input signals regarding the importance score of the insight via the second set of GUI elements of the second region; and
refining the importance score of the insight based on the received user input signals via the second set of GUI elements of the second region.