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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
491
Total Travel Cost
$35,245
52,605 miles
Avoidable Cost
$22,988
34,310 excess miles
Optimal Cost
$12,258
If closest tech always used
Avg Excess / WO
69.9 mi
$46.82 per WO
Median Excess
10.8 mi
Outlier Rate (>50mi)
21%
103 WOs

Actual Travel Expenses

From 309 WOs with expense data
Total Expenses
$116,276
Labor - Travel
$105,064
Mileage
$198
Lodging
$3,994
Airfare
$1,948
Car Rental
$1,531
Per Diem
$2,225
Meals
$0
Other
$1,316
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 491 $22,988
100%		 69.9 mi 103 ✈ 5 $116,276 16

By State

States with the highest total avoidable travel cost.

# State WOs Avoidable Cost Impact Avg Excess Flew
1 CO 20 $7,487
558.7 mi ✈ 3
2 TX 287 $7,344
38.2 mi ✈ 1
3 IL 17 $2,933
257.5 mi —
4 KS 29 $1,363
70.2 mi —
5 AZ 60 $1,235
30.7 mi —
6 MO 51 $702
20.6 mi —
7 OK 17 $262
23.0 mi —
8 NE 3 $100
49.6 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 El Paso TX 8 $2,104
392.7 mi ✈ 1
2 Colorado Springs CO 4 $1,453
542.1 mi —
3 Denver CO 5 $1,185
353.8 mi —
4 Leawood KS 6 $936
232.8 mi —
5 Austin TX 13 $576
66.1 mi —
6 FORT SAM HOUSTON TX 5 $451
134.5 mi —
7 Corpus Christi TX 6 $375
93.2 mi —
8 Overland Park KS 5 $319
95.2 mi —
9 San Antonio TX 18 $293
24.3 mi —
10 Houston TX 31 $292
14.1 mi —
11 Tulsa OK 3 $214
106.5 mi —
12 Galveston TX 8 $182
34.0 mi —
13 New Braunfels TX 3 $157
77.9 mi —
14 Edinburg TX 3 $147
73.3 mi —
15 Dallas TX 19 $145
11.4 mi —
16 Kansas City MO 4 $124
46.3 mi —
17 Phoenix AZ 16 $122
11.4 mi —
18 Hurst TX 7 $92
19.6 mi —
19 Tyler, TX 4 $89
33.3 mi —
20 Tyler TX 4 $84
31.4 mi —
21 Fort Worth TX 11 $82
11.1 mi —
22 Saint Louis MO 11 $60
8.2 mi —
23 Houston, TX 3 $52
26.0 mi —
24 Mckinney TX 4 $49
18.2 mi —
25 Nashville IL 5 $48
14.2 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 491 $22,988
69.9 mi 103 ✈ 5 $116,276 16

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 41 $9,208
372 mi 335.2 mi 21 ✈ 2 4 $11,498
2 Arturo Diaz 55 $3,003
122 mi 81.5 mi 12 ✈ 1 1 $8,440
3 Anthony Wirth 50 $1,469
71 mi 43.8 mi 22 — 1 $8,675
4 Darrell Hendrix 24 $1,438
153 mi 89.4 mi 7 ✈ 1 4 $11,258
5 Tyler Bollman 40 $1,260
82 mi 47.0 mi 2 — 3 $8,424
6 Chane Lacy 49 $1,108
63 mi 33.7 mi 7 — 1 $15,551
7 Zachary Stieben 85 $868
52 mi 15.2 mi 7 — 2 $10,056
8 Blake Ward 32 $745
78 mi 34.7 mi 4 — 3 $11,324
9 Curtis Sprague 14 $726
108 mi 77.4 mi 8 — 1 $6,628
10 Thomas J Langenberg Jr 38 $494
67 mi 19.4 mi 4 — 4 $8,576
11 Christopher Womack 36 $419
55 mi 17.4 mi 3 — 3 $9,840
12 Kevin Cox 19 $47
27 mi 3.7 mi 1 — 2 $3,016