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| Date | Install Count | Change |
|---|---|---|
| 2026-09-09 | 0 | - |
About
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 rather than 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 time dispatchers spend solving problems the system should handle automatically.
Key Features
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)