Travel & Margin Analysis

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

Tech Placement Detail →
WOs Analyzed
375
Total Travel Cost
$16,837
25,130 miles
Avoidable Cost
$10,355
15,456 excess miles
Optimal Cost
$6,482
If closest tech always used
Avg Excess / WO
41.2 mi
$27.61 per WO
Median Excess
23.4 mi
Outlier Rate (>50mi)
31.5%
118 WOs

Actual Travel Expenses

From 215 WOs with expense data
Total Expenses
$68,144
Labor - Travel
$62,044
Mileage
$0
Lodging
$2,127
Airfare
$0
Car Rental
$0
Per Diem
$1,100
Meals
$0
Other
$2,873

🎯 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 375 $10,356
100%
41.2 mi 118 $68,144 17

By State

States with the highest total avoidable travel cost.

# State WOs Avoidable Cost Impact Avg Excess Flew
1 PA 375 $10,356
41.2 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 Media PA 53 $2,572
72.4 mi
2 Lititz PA 31 $1,607
77.4 mi
3 Exton PA 39 $1,184
45.3 mi
4 King Of Prussia PA 10 $1,160
173.1 mi
5 Erie PA 10 $1,000
149.2 mi
6 PHILADELPHIA PA 23 $677
43.9 mi
7 Philadelphia PA 37 $665
26.8 mi
8 Pittsburgh PA 9 $214
35.5 mi
9 Paoli PA 22 $145
9.9 mi
10 PITTSBURGH PA 11 $142
19.3 mi
11 Bryn Mawr PA 5 $82
24.5 mi
12 HARRISBURG PA 9 $50
8.3 mi
13 Lehighton PA 5 $46
13.5 mi
14 MONROEVILLE PA 3 $20
10.1 mi
15 EASTON PA 3 $16
8.0 mi
16 Altoona PA 5 $0
0.0 mi
17 DANVILLE PA 9 $0
0.0 mi
18 Kittanning PA 3 $0
0.0 mi
19 Pottstown PA 5 $0
0.0 mi
20 SAYRE PA 4 $0
0.0 mi
21 Wyomissing PA 11 $0
0.0 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 Mandy Newman 27 $1,505
83.2 mi 13 $4,612 6
2 Rebecca Arnold 11 $568
77.1 mi 10 $2,729 2
3 Cristina Everetts 14 $294
31.4 mi 4 $3,736 7
4 Rich Fosbury 17 $170
14.9 mi 0 $2,148 4

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 Alberto Galan 55 $2,620
77 mi 71.1 mi 52 1 $12,192
2 Konstantin Barskiy 31 $1,826
109 mi 87.9 mi 31 1 $13,732
3 Michael Steencken 78 $1,398
60 mi 26.7 mi 0 1 $9,919
4 Fady Messak 12 $1,187
221 mi 147.6 mi 8 1
5 Jason Yenser 56 $413
36 mi 11.0 mi 1 1 $6,085
6 Bryan Rodriguez 7 $399
110 mi 85.0 mi 7 1 $3,505
7 Fady Khouzam 8 $356
82 mi 66.4 mi 8 1 $1,920
8 Eric Mancerella 25 $311
36 mi 18.6 mi 1 1 $1,131
9 Rodney Charles 36 $256
30 mi 10.6 mi 0 1 $7,158
10 Fanfan Siku 38 $142
51 mi 5.6 mi 3 1 $7,665
11 Rick Charles 19 $125
30 mi 9.8 mi 0 1 $2,435