SYSTEM AND METHOD FOR PRE-IDENTIFYING DELAY FACTORS TO MITIGATE PROCESS DELAYS

1. A method comprising: receiving an indication of a delay in a process and information identifying one or more candidate delay factors associated with the delay; analyzing current video data of the process using a machine learning model trained to identify different candidate delay factors that cause different delays in different processes; detecting, based on analyzing the current video data, the delay and a candidate delay factor of the one or more candidate delay factors; analyzing historical video data of the process to determine whether a correlation exists between the candidate delay factor and the delay; predicting, based on analyzing the historical video data, that the candidate delay factor causes delays in the process; determining, based on predicting that the candidate delay factor causes the delays, an action to be performed to mitigate subsequent delays to be caused by the candidate delay factor during the process; causing the action to be performed to mitigate the subsequent delays during the process; and monitoring the process to determine whether the subsequent delays, in the process, have been mitigated as a result of causing the action to be performed. || 8. A system, comprising: a process improvement platform configured to: analyze current video data of a process using a machine learning model trained to identify delay factors that cause different delays in different processes; detect, based on analyzing the current video data, a delay during the process and a candidate delay factor associated with the delay; analyze historical video data of the process to determine whether a correlation exists between the candidate delay factor and delays during the process; determine, based on analyzing the historical video data, that the correlation exists between the candidate delay factor and the delays during the process; determine a corrective action to be performed to mitigate subsequent delays to be caused by the candidate delay factor during the process; determine whether subsequent delays, in the process, have been mitigated as a result of the corrective action being performed; analyze additional video data of the process using the machine learning model; detect the candidate delay factor based on analyzing the additional video data; and cause the corrective action to be performed based on: the candidate delay factor being detected in the additional video data, and whether the subsequent delays have been mitigated as a result of causing the corrective action to be performed. || 15. A non-transitory computer-readable medium storing a set of instructions, the set of instructions comprising: one or more instructions that, when executed by one or more processors of a device, cause the device to: analyze current video data of a process using a machine learning model; detect, based on analyzing the current video data, a delay during the process and a candidate delay factor associated with the delay; analyze historical video data of the process to determine whether a correlation exists between the candidate delay factor and delays during the process; determine, based on analyzing the historical video data, a corrective action to be performed to mitigate subsequent delays to be caused by the candidate delay factor during the process; and monitor the process to determine whether subsequent delays, in the process, have been mitigated as a result of the corrective action being performed.