Predictive work duration
|Enabled for||Public preview||Early access||General availability|
|Users by admins, makers, or analysts||Oct 1, 2020||-||-|
Currently, dispatchers assign a fixed duration for a job type, regardless of the various factors that may lengthen or shorten the work order. This can potentially cause cascading delays or low usage, reducing the effectiveness of schedules.
Predictive work duration solves this problem by predicting a realistic duration for a given job. This helps dispatchers reduce risk by identifying unforeseen delays and shorten buffer time. Service managers can also use these insights to uncover technician strengths, enhance service delivery, and improve their capacity plans.
This feature predicts the duration for a given booking or requirement, based on various factors like resource performance, incident type, customer location, territorial differences, and seasonal changes. Powered by AI models, this feature learns from the historical booking completion times to compute a realistic duration.
It also provides a blended efficiency rating for territories and incident types based on their completion times and allows dispatchers and service managers to drill down to detailed ratings for different technicians across incident types. This helps dispatchers easily identify the right technician for a given job at a customer location.
This feature is available in Unified Interface only.