Travel & Margin Analysis

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

Tech Placement Detail →
WOs Analyzed
111
Total Travel Cost
$4,906
7,322 miles
Avoidable Cost
$4,041
6,031 excess miles
Optimal Cost
$865
If closest tech always used
Avg Excess / WO
54.3 mi
$36.40 per WO
Median Excess
23.2 mi
Outlier Rate (>50mi)
27%
30 WOs

Actual Travel Expenses

From 72 WOs with expense data
Total Expenses
$16,871
Labor - Travel
$15,716
Mileage
$0
Lodging
$234
Airfare
$0
Car Rental
$0
Per Diem
$175
Meals
$0
Other
$746

🎯 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 FCO 111 $4,041
100%
54.3 mi 30 $16,871 18

By State

States with the highest total avoidable travel cost.

# State WOs Avoidable Cost Impact Avg Excess Flew
1 NJ 36 $1,628
67.5 mi
2 NY 55 $842
22.9 mi
3 PA 11 $568
77.1 mi

By City

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

# City State WOs Avoidable Cost Impact Avg Excess Flew
1 Camden NJ 6 $1,047
260.4 mi
2 Exton PA 8 $413
77.0 mi
3 Pennsauken NJ 7 $306
65.2 mi
4 Allendale NJ 14 $164
17.5 mi
5 New York NY 13 $151
17.3 mi
6 Brooklyn NY 9 $125
20.7 mi
7 NEW YORK NY 6 $86
21.3 mi
8 Mineola NY 3 $78
39.1 mi
9 Bronx NY 3 $57
28.4 mi
10 BRONX NY 8 $17
3.2 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 Rebecca Arnold 111 $4,041
54.3 mi 30 $16,871 18

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 Konstantin Barskiy 12 $1,195
166 mi 148.6 mi 11 3 $3,582
2 Fady Messak 21 $543
52 mi 38.6 mi 0 3
3 Fady Khouzam 16 $517
57 mi 48.3 mi 11 2 $2,322
4 Alberto Galan 19 $278
31 mi 21.8 mi 2 2 $4,023
5 Israel Martell 17 $88
16 mi 7.8 mi 0 2 $4,012
6 Philmon Mehari 5 $60
29 mi 17.7 mi 0 2 $1,482