Finding the best matching technician is very challenging, especially when different parameters play a role, such as technician availability, already-scheduled activities, the duration of an activity, and reservations and skills. This complex computation is now resolved using our AI-Powered Best Matching Technician feature. Another important towards the Intelligent Enterprise.
The example below shows how the AI-Engine would extend an activity with a duration 9 hours in case a selected technician has non-working hours and reservations that do not allow him to complete the activity without interruption. This would impact only the earliest start and end date of the activity and will leave the estimated duration untouched.