What happens when using route optimization, in the case that route of all tasks cannot satisfy time constraints of an agent's schedule?

What happens when using route optimization, in the case that route of all tasks cannot satisfy time constraints of an agent's schedule?

• A. All tasks are dropped from the route
• B. Unrouted tasks are immediately canceled
• C. Only tasks with highest priority are scheduled
• D. A smaller set of tasks is calculated, and Unrouted tasks are set to pending dispatch state.

Answer: (D)

In route optimization, the goal is to fit a feasible set of tasks into an agent’s available time and work window. When all tasks can’t be scheduled within those constraints, the optimizer instead computes a smaller set of tasks that can be routed and dispatched within the given time. The tasks that can’t be included aren’t canceled or dropped; they’re marked as unrouted and moved to a pending dispatch state so they can be reconsidered later when the schedule is refreshed or constraints change. This approach ensures we maximize what can be done now while preserving the remaining work for future optimization.

In route optimization, the goal is to fit a feasible set of tasks into an agent’s available time and work window. When all tasks can’t be scheduled within those constraints, the optimizer instead computes a smaller set of tasks that can be routed and dispatched within the given time. The tasks that can’t be included aren’t canceled or dropped; they’re marked as unrouted and moved to a pending dispatch state so they can be reconsidered later when the schedule is refreshed or constraints change. This approach ensures we maximize what can be done now while preserving the remaining work for future optimization.