US 12,282,385 B2
Root cause analysis based on process optimization data
Fabio Casati, Santa Clara, CA (US); Hans Jochen Gerhard Pohle, Amsterdam (NL); Sai Harini Chettla, Hyderabad (IN); Manjeet Singh, Santa Clara, CA (US); and Siddhant Sinha, Hyderabad (IN)
Assigned to Service Now, Inc., Santa Clara, CA (US)
Filed by ServiceNow, Inc., Santa Clara, CA (US)
Filed on Mar. 18, 2024, as Appl. No. 18/607,790.
Application 18/607,790 is a continuation of application No. 17/521,474, filed on Nov. 8, 2021, granted, now 11,960,353.
Prior Publication US 2024/0220352 A1, Jul. 4, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 11/07 (2006.01); G06F 11/34 (2006.01); G06F 18/214 (2023.01); G06N 20/00 (2019.01)
CPC G06F 11/079 (2013.01) [G06F 11/3476 (2013.01); G06F 18/214 (2023.01); G06N 20/00 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
capturing log data indicating a sequence of operations executed between a first activity of a process and a second activity of the process;
detecting an inefficiency between a first user input associated with the first activity and a second user input associated with the second activity, based on a plurality of criteria and the log data, wherein the inefficiency corresponds to an additional time period between first user input associated with the first activity and the second user input associated with the second activity;
in response to detecting the inefficiency, generating, using a machine learning (ML) model and the log data, an output to be associated with the sequence of operations;
determining, using the output, a root cause of the inefficiency between the first activity and the second activity; and
generating presentation data indicating the root cause.