Every Wasted Mile Costs You Margin
Intelligent Routing in SkilledOS uses AI to calculate the most efficient routes for your crews, reducing fuel costs, vehicle wear, and drive time between jobs.
SCR-12
Map view showing optimized multi-stop routes for multiple trucks with drive-time estimates and fuel cost projections
How It Works
1. Jobs Are Geocoded
Every job address is automatically geocoded and plotted on the map the moment it enters the system.
2. AI Builds Routes
The engine calculates the shortest total drive distance across all trucks, respecting time windows and skill requirements.
3. Techs Get Turn-by-Turn
Optimized routes are pushed to the mobile app with turn-by-turn navigation. Re-routes happen automatically if conditions change.
Key Capabilities
- AI calculates optimal multi-stop routes across your entire fleet simultaneously
- Real-time traffic and road-condition adjustments throughout the day
- Automatic re-routing when jobs are added, cancelled, or rescheduled mid-day
- Fuel cost and vehicle wear projections per route so you can forecast expenses
- Territory balancing distributes jobs evenly across trucks to prevent burnout
- Route history analytics show drive-time trends week over week
How This Affects Your Profit
AI routing saves the average 5-truck operation $1,200/month in fuel and vehicle wear. That's $14,400/year added to your bottom line - without changing a single price or closing a single extra job.
Common Questions
How is this different from Google Maps or Waze?
Consumer navigation apps optimize a single trip from A to B. SkilledOS optimizes multiple stops across multiple trucks simultaneously, factoring in job priority, tech skill match, and customer time windows - not only drive time.
Does routing update in real time if a job is added mid-day?
Yes. When a new job enters the board, the AI recalculates routes for the affected trucks and pushes updated directions to the tech's mobile app within seconds.
Can I set territory boundaries so techs stay in their zones?
You can define geographic zones and assign techs to them. The AI respects those boundaries while still optimizing within each zone for the shortest total drive time.
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