Schedule Optimization is an advanced scheduling engine that uses Operational Research and Machine Learning models to determine the best assignment for every job, balancing technician availability, travel time, skills, priority, and SLA requirements across your entire workforce simultaneously.

Most scheduling tools optimize locally. Schedule Optimization works across the full picture, fitting more jobs into working hours, routing technicians efficiently, reducing overtime, and giving priority work the placement it needs to meet commit times. When conditions change mid-day, it adapts instead of leaving dispatchers to manually rebuild the schedule.

The result is a schedule that does more with the same workforce: fewer miles driven, higher first-time fix rates, less overtime, and less dispatcher time spent solving problems the system should handle automatically.

Schedule optimization capability offers two main modes: 

• Batch Optimization and Intraday Optimization (scheduled, prioritized, on-demand)
• Integration with FSM features: Territories, Capacity & Reservations, Planned Crews, Workforce Optimization, Advanced Task Dependencies, Agent Efficiency
• 40+ configurable constraints & objectives (travel, work, SLA, skill, overtime penalties)