Cohort-based completion time inferencing using machine learning

A system for inferring completion times for processes in a computing application, comprising:

• a memory having executable instructions stored thereon;
• one or more processors configured to execute the executable instructions to cause the system to:
• detect, in the computing application, a process selection event that indicates initiation of a process within a user interface of the computing application on a client device;
• retrieve a process completion event environment for the process;
• display the process completion event environment within the user interface of the computing application on the client device;
• determine, based on the process selection event, primary entity data and a cohort entity data set, the primary entity data including data about a primary entity related to the process selection event, and the cohort data set including data about a cohort determined based on having a common attribute with the primary entity and based on having a cohort completion time associated with at least a part of the process;
• provide, based on the process selection event, the cohort entity data set and an indication of the process to a machine learning model trained to determine cohort completion times based on input entity and process information;
• receive, from the machine learning model based on the inputs, an inferred completion time for the process;
• and
• display, in the process completion environment within the user interface of the computing application on the client device a time based on the inferred completion time.

A non-transitory computer-readable medium comprising instructions that, when executed by one or more processors, perform a method for inferring completion times for processes by causing the processor to:

• detect, in a computing application, a process selection event that indicates initiation of a process within a user interface of the computing application on a client device;
• retrieve a process completion event environment for the process;
• display the process completion event environment within the user interface of the computing application on the client device;
• determine, based on the process selection event, primary entity data and a cohort entity data set, the primary entity data including data about a primary entity related to the process selection event, and the cohort data set including data about a cohort determined based on having a common attribute with the primary entity and based on having a cohort completion time associated with at least a part of the process;
• provide, based on the process selection event, the cohort entity data set and an indication of the process to a machine learning model trained to determine cohort completion times based on input entity and process information;
• receive, from the machine learning model based on the inputs, an inferred completion time for the process;
• and
• display, in the process completion environment within the user interface of the computing application on the client device a time based on the inferred completion time.