AI Scheduling
Let AI optimize your scheduling for maximum efficiency
How AI Scheduling Works
ServiceCrew AI uses machine learning to analyze multiple factors and suggest optimal scheduling decisions:
Skills
Technician skills and certifications
Location
Geographic location and travel time
Capacity
Current workload and capacity
History
Customer history and preferences
Priority
Job priority and SLA requirements
Parts
Equipment and parts availability
AI-Suggested Assignments
When creating or editing a job:
Click Suggest Technician
AI analyzes available technicians
Review the recommendation with reasoning
Accept or choose a different technician
Smart Time Slots
AI can suggest optimal time slots based on:
Auto-Optimization
Enable auto-optimization to let AI continuously improve your schedule:
Go to Settings → AI Features
Enable Schedule Auto-Optimization
Set optimization frequency (hourly, daily)
Choose optimization priorities
Optimization Goals
Configure what the AI should prioritize:
Minimize Travel Time
Reduce driving between jobs
Balance Workload
Even distribution across techs
Maximize Revenue
Prioritize high-value jobs
Customer Satisfaction
Match preferred techs
Skills Match
Best qualified technician
Predictive Insights
AI provides predictions to help planning:
Job Completion
Estimated completion times
Running Late
Likelihood of delays
Buffer Times
Suggested buffer periods
Capacity
Workload forecasting
AI Learning
The more you use ServiceCrew AI, the smarter it gets. The AI learns from your scheduling patterns, job outcomes, and customer feedback to improve recommendations over time.