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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
521
Total Travel Cost
$22,607
33,741 miles
Avoidable Cost
$16,006
23,890 excess miles
Optimal Cost
$6,600
If closest tech always used
Avg Excess / WO
45.9 mi
$30.72 per WO
Median Excess
14.4 mi
Outlier Rate (>50mi)
14.8%
77 WOs

Actual Travel Expenses

From 339 WOs with expense data
Total Expenses
$104,967
Labor - Travel
$99,743
Mileage
$0
Lodging
$162
Airfare
$28
Car Rental
$1,170
Per Diem
$800
Meals
$0
Other
$3,065
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 FCO 521 $16,006
100%		 45.9 mi 77 ✈ 1 $104,967 17

By State

States with the highest total avoidable travel cost.

# State WOs Avoidable Cost Impact Avg Excess Flew
1 NJ 521 $16,006
45.9 mi ✈ 1

By City

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

# City State WOs Avoidable Cost Impact Avg Excess Flew
1 Hackensack NJ 10 $3,525
526.1 mi —
2 Allendale NJ 186 $2,094
16.8 mi —
3 Pomona NJ 8 $1,421
265.2 mi —
4 Paramus NJ 9 $1,090
180.8 mi —
5 Marlton NJ 6 $944
234.8 mi —
6 Camden NJ 17 $583
51.2 mi ✈ 1
7 Vineland NJ 7 $224
47.7 mi —
8 New Brunswick NJ 14 $220
23.5 mi —
9 Pennsauken NJ 5 $218
65.2 mi —
10 Ewing NJ 16 $212
19.8 mi —
11 NEWARK NJ 8 $180
33.5 mi —
12 Mountainside NJ 12 $179
22.3 mi —
13 Brick NJ 17 $163
14.3 mi —
14 Freehold NJ 7 $157
33.4 mi —
15 East Brunswick NJ 4 $155
57.9 mi —
16 Toms River NJ 19 $131
10.2 mi —
17 Plainsboro NJ 5 $122
36.3 mi —
18 Neptune NJ 5 $117
34.7 mi —
19 Mullica Hill NJ 5 $105
31.4 mi —
20 Browns Mills NJ 8 $105
19.4 mi —
21 MORRISTOWN NJ 10 $92
13.8 mi —
22 EGG HARBOR TOWNSHIP NJ 6 $73
18.2 mi —
23 VOORHEES NJ 3 $72
36.1 mi —
24 NEPTUNE NJ 5 $69
20.6 mi —
25 FAIRFIELD NJ 5 $63
18.8 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 Cristina Everetts 92 $7,961
129.1 mi 25 — $9,862 14
2 Rebecca Arnold 22 $540
36.6 mi 8 — $4,754 7
3 Megan Klose 9 $130
21.6 mi 2 — $3,151 6

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 Nkosi Wilson 19 $8,956
720 mi 703.5 mi 19 — 1 $1,013
2 Jason Yenser 61 $1,717
68 mi 42.0 mi 35 — 1 $3,834
3 Shady Messak 63 $909
39 mi 21.5 mi 0 — 1 $21,826
4 Fady Khouzam 29 $815
56 mi 42.0 mi 11 ✈ 1 1 $7,015
5 Philmon Mehari 57 $511
33 mi 13.4 mi 0 — 1 $4,225
6 Davon Cox 44 $486
34 mi 16.5 mi 1 — 1 $9,554
7 Bryan Rodriguez 48 $432
37 mi 13.4 mi 0 — 1 $10,602
8 Rodney Charles 9 $429
88 mi 71.1 mi 6 — 1 $2,887
9 Alberto Galan 60 $401
31 mi 10.0 mi 1 — 1 $12,082
10 Israel Martell 26 $367
33 mi 21.1 mi 0 — 1 $10,153
11 Konstantin Barskiy 22 $194
31 mi 13.2 mi 0 — 1 $7,905
12 Carlos Puebla 35 $168
23 mi 7.1 mi 1 — 1 $9,827
13 Vivian Hyde 17 $138
23 mi 12.1 mi 0 — 1 $826
14 Andre Samuda 9 $119
27 mi 19.8 mi 0 — 1 $198
15 Rick Charles 8 $111
53 mi 20.7 mi 1 — 1 $1,782
16 Fady Messak 10 $99
35 mi 14.8 mi 0 — 1 —