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Travel & Margin Analysis

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

Tech Placement Detail →
WOs Analyzed
38
Total Travel Cost
$15,516
23,158 miles
Avoidable Cost
$14,931
22,285 excess miles
Optimal Cost
$585
If closest tech always used
Avg Excess / WO
586.4 mi
$392.92 per WO
Median Excess
584.1 mi
Outlier Rate (>50mi)
94.7%
36 WOs

Actual Travel Expenses

From 25 WOs with expense data
Total Expenses
$22,020
Labor - Travel
$7,907
Mileage
$0
Lodging
$3,329
Airfare
$5,217
Car Rental
$2,061
Per Diem
$1,400
Meals
$0
Other
$2,106
Cost Overview Actual Expenses Cost Breakdowns Coordinator Analysis Tech Utilization Quick Wins Coverage Gaps Low Hanging Fruit

🎯 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 38 $14,931
100%		 586.4 mi 36 ✈ 10 $22,020 5

By State

States with the highest total avoidable travel cost.

# State WOs Avoidable Cost Impact Avg Excess Flew
1 CO 38 $14,931
586.4 mi ✈ 10

By City

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

# City State WOs Avoidable Cost Impact Avg Excess Flew
1 Aurora CO 6 $2,915
725.2 mi ✈ 2
2 Denver CO 9 $2,716
450.5 mi ✈ 4
3 Parker CO 5 $2,227
664.8 mi ✈ 1
4 Colorado Springs CO 5 $1,816
542.2 mi —

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 33 $13,007
588.3 mi 31 ✈ 7 $17,264 4
2 Michael Burris 5 $1,924
574.5 mi 5 ✈ 3 $4,756 3

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 25 $9,645
584 mi 575.8 mi 25 ✈ 4 1 $10,368
2 Jason Morris 5 $2,996
996 mi 894.4 mi 5 ✈ 2 1 $3,623