Travel & Margin Analysis

Quantify excess travel cost and identify optimization opportunities across your field service operation

Tech Placement Detail →
WOs Analyzed
53
Total Travel Cost
$24,194
36,110 miles
Avoidable Cost
$23,434
34,976 excess miles
Optimal Cost
$760
If closest tech always used
Avg Excess / WO
659.9 mi
$442.15 per WO
Median Excess
587.0 mi
Outlier Rate (>50mi)
75.5%
40 WOs

Actual Travel Expenses

From 20 WOs with expense data
Total Expenses
$11,193
Labor - Travel
$1,608
Mileage
$0
Lodging
$2,244
Airfare
$3,373
Car Rental
$1,403
Per Diem
$1,050
Meals
$0
Other
$1,516

🎯 Low Hanging Fruit — Biggest Drivers of Excess Travel Cost

Ranked by total avoidable cost across five dimensions. Focus on the top items in each category for the highest ROI improvements.

By Vertical

Which service verticals generate the most excess travel? Clinical Education stands out with very high per-WO excess.

# Vertical WOs Avoidable Cost Impact Avg Excess Outliers Flew Actual Expense Techs
1 Healthcare Provider 23 $8,677
37.6%
563.0 mi 21 ✈ 4 $6,838 4
2 Lab/Power 8 $7,623
33.1%
1,422.2 mi 7 ✈ 1 $1,752 4
3 Kiosk 19 $6,748
29.3%
530.1 mi 11 $376 3

By State

States with the highest total avoidable travel cost.

# State WOs Avoidable Cost Impact Avg Excess Flew
1 CO 53 $23,434
659.9 mi ✈ 6

By City

Top cities by total avoidable cost. These are your biggest geographic hotspots.

# City State WOs Avoidable Cost Impact Avg Excess Flew
1 Colorado Springs CO 6 $3,250
808.5 mi
2 Pueblo CO 4 $2,923
1,090.5 mi
3 Denver CO 10 $2,628
392.2 mi ✈ 1
4 Golden CO 3 $2,348
1,167.9 mi
5 Aurora CO 4 $1,821
679.5 mi ✈ 1
6 Littleton CO 5 $1,160
346.4 mi ✈ 1

By Coordinator

Coordinators whose dispatching decisions result in the most excess travel. High avg excess suggests systematic over-dispatching; high WO count with moderate excess suggests volume-driven impact.

# Coordinator WOs Avoidable Cost Impact Avg Excess Outliers Flew Actual Expense Techs Used
1 Kaitlyn Kelch 43 $15,267
529.9 mi 31 ✈ 5 $10,086 5
2 Kim Pearson 6 $6,977
1,735.5 mi 6 2

By Technician — Repeat Offenders

Techs who consistently travel far beyond the closest available option. High states-served count may indicate a roaming/national tech; high avg excess with few states suggests a misplaced home base.

# Technician WOs Avoidable Cost Impact Avg Actual Dist Avg Excess Outliers Flew States Actual Expense
1 Andrew Przybyla 20 $7,706
583 mi 575.1 mi 20 ✈ 3 1 $5,857
2 Jason Morris 12 $7,705
1,001 mi 958.3 mi 12 ✈ 1 1 $1,776
3 Ben Heinz 10 $0
35 mi 0.0 mi 0 1 $205