Field service is paid for installed work, not for driving between addresses. Yet the average HVAC, plumbing, or electrical tech spends 18-22% of their day in the truck. Route optimization is the lever that turns drive time back into billable time — and it pays for itself fast.
Estimated reading time: 5 minutes
The cost of bad routes
A tech who drives 90 minutes a day across a poorly-planned route spends ~7.5 hours per week in transit. At $85/hr loaded labor cost, that’s $640/week per tech — over $33,000/year, before you count the lost revenue from a job they could have completed in that window.
Multiply by 5 techs and you’re staring at $165k of annual cost recoverable through better routing. This is the highest-ROI operational lever in most field service businesses.
What “good routing” actually means
Good routing is not just sorting jobs by zip code. A real route optimizer balances:
- Geographic clustering — group jobs in the same neighborhood
- Traffic patterns — leave commercial routes for off-peak hours
- Skill match — don’t send your senior tech across town for a $90 service call
- Customer SLA — VIP customers get priority slots even if the route loops
- Parts on truck — a tech without the right capacitor can’t close the job, no matter how clever the route
- Tech home base — the first and last jobs of the day should be near home
A spreadsheet can’t optimize this. A dispatcher with 25 years of experience can do it for 5-10 jobs a day before it gets exhausting.
Where the savings show up
Operations using AI-assisted routing typically report:
- 18-25% reduction in drive time per tech
- 1-2 additional jobs per tech per day (at average ticket $300-500, this alone is meaningful)
- 15% fuel cost reduction — fewer miles, less idle time
- Higher tech retention — burned-out techs quit; well-routed techs are home for dinner
How to get started
You don’t need a fleet management system or a six-month transformation. Three steps will recover most of the savings:
1. Set up territories
Even a simple territory map (“North tech, Central tech, South tech”) prevents the worst routing mistakes — like sending your South tech to a North-side emergency. See Managing Service Territories.
2. Pre-stock trucks for the day
Each tech should leave the warehouse with the parts most likely to be used on the day’s queue. The Van Inventory view in Inventory Management makes this 5-minute morning check explicit. A tech with the wrong part on the truck creates a return visit — adding 60+ minutes of drive time.
3. Use Auto-Assign with constraints
Let Auto-Assign on the Dispatcher Daily Workflow page sort the queue. Review the suggestions — humans still beat AI on edge cases (the customer who only opens the door for a specific tech, the building with parking that requires a small truck) — but accept the bulk of the plan.
What to watch for
Route optimization can fail in three ways:
- Over-clustering: Sending the same tech to all the easy jobs in one neighborhood and dropping the hard one in another — until the customer with the hard one cancels. Mix priorities, not just zones.
- Ignoring traffic windows: Routing a tech down a commercial corridor at 5 PM is faster on the map than in real life. Time-of-day awareness matters.
- Tech fatigue: A perfectly-routed 10-job day still wears out a tech. Cap daily job count and you’ll keep techs longer than your competitor.
The compounding effect
The hidden return on routing is customer-facing: techs arrive on time, complete more jobs, and get to the next customer’s window without breaking the SLA. Customer satisfaction goes up. Repeat business goes up. Repeat business has a much higher gross margin than acquisition. The lever you pulled to save fuel ends up paying for itself three more times in customer LTV.
Where to start in Exoserva
- Managing Service Territories — draw your zones first
- Dispatcher Daily Workflow — Auto-Assign in action
- Inventory Management — pre-stock trucks correctly
- Time Tracking and Timesheets — measure drive time vs billable time
Need help? Post in the Tech Support category or contact support@exoserva.com.