Using Travel Time Optimization in Booking Process
Oracle Fusion Field Service uses travel-aware optimization to balance forecasted activity demand with travel minimization. This supports efficient scheduling, reduces operational costs, and improves customer satisfaction.
Travel time optimization is applied only when Optimize Travel is explicitly selected as the Booking Optimization Goal on Quota Configuration page for a capacity area or is specified directly in the API request. If no optimization goal is defined, the default optimization behavior applies, and travel time optimization might not be considered.
Booking-related API operations, such as those that retrieve available time slots or display the booking grid, apply estimated travel times not only during resource matching but also at earlier stages of the booking process. Oracle Fusion Field Service can suggest appointment slots that reduce unnecessary travel and promote route consolidation.
- Suggest appointment slots that align with nearby existing schedules or forecasted activity clusters.
- Consolidate work within geographic zones and time windows to reduce fragmented routing.
- Minimize travel fatigue for mobile workers by promoting clustered scheduling.
- Increase the number of appointments completed per day during periods of high demand by selecting time slots that are both available and efficient in terms of travel.
In addition to evaluating current scheduling constraints, Oracle Fusion Field Service considers historical trends and forecasted service demand when suggesting time slots. For example, if a particular neighborhood historically experiences a surge in service requests, Oracle Fusion Field Service prioritizes booking availability in that area to align new appointments with expected demand.
The travel-aware optimization logic can be applied when selecting booking options, helping reduce travel even before final resource assignment is made.