Travel & Margin Analysis

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

Tech Placement Detail →
WOs Analyzed
569
Total Travel Cost
$40,342
60,211 miles
Avoidable Cost
$22,626
33,770 excess miles
Optimal Cost
$17,716
If closest tech always used
Avg Excess / WO
59.3 mi
$39.76 per WO
Median Excess
0.0 mi
Outlier Rate (>50mi)
15.8%
90 WOs

Actual Travel Expenses

From 353 WOs with expense data
Total Expenses
$177,703
Labor - Travel
$124,790
Mileage
$2,620
Lodging
$15,399
Airfare
$13,702
Car Rental
$7,020
Per Diem
$5,250
Meals
$0
Other
$8,921

🎯 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 379 $11,826
52.3%
46.6 mi 46 ✈ 5 $109,605 11
2 Bed Services 39 $5,280
23.3%
202.1 mi 9 ✈ 1 $1,835 3
3 Lab/Power 39 $4,226
18.7%
161.7 mi 23 ✈ 8 $27,064 4
4 Animal Health 33 $768
3.4%
34.8 mi 8 $10,567 8
5 EMS 44 $282
1.2%
9.6 mi 3 ✈ 5 $23,440 2
6 Kiosk 20 $210
0.9%
15.7 mi 1 $773 4
7 FCO 6 $29
0.1%
7.1 mi 0 $24 2
8 Training/Other 9 $5
0%
0.8 mi 0 ✈ 2 $4,394 6

By State

States with the highest total avoidable travel cost.

# State WOs Avoidable Cost Impact Avg Excess Flew
1 CA 297 $9,491
47.7 mi ✈ 8
2 VA 3 $3,692
1,836.7 mi
3 OR 56 $2,410
64.2 mi ✈ 5
4 UT 51 $1,895
55.5 mi ✈ 1
5 CO 3 $1,190
591.9 mi ✈ 1
6 WA 81 $393
7.2 mi ✈ 3
7 ID 21 $335
23.8 mi ✈ 1
8 AZ 4 $41
15.3 mi
9 NV 50 $40
1.2 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 Midlothian VA 3 $3,692
1,836.7 mi
2 Modesto CA 11 $1,621
219.9 mi ✈ 1
3 Redwood City CA 9 $1,581
262.2 mi ✈ 1
4 DRAPER UT 33 $1,547
70.0 mi ✈ 1
5 Los Angeles CA 25 $1,508
90.0 mi ✈ 1
6 Portland OR 22 $1,213
82.3 mi ✈ 2
7 REDWOOD CITY CA 4 $791
295.0 mi
8 San Diego CA 8 $346
64.6 mi
9 Hillsboro OR 4 $304
113.2 mi ✈ 1
10 Sacramento CA 19 $230
18.1 mi
11 West Linn OR 3 $230
114.2 mi
12 San Jose CA 7 $208
44.4 mi
13 Salinas CA 6 $94
23.5 mi
14 Carlsbad CA 3 $79
39.3 mi
15 Irvine CA 3 $66
33.1 mi
16 Beaverton OR 4 $66
24.5 mi
17 Murrieta CA 3 $58
29.1 mi
18 Aliso Viejo CA 3 $54
26.7 mi
19 Pasadena CA 7 $44
9.4 mi
20 Sierra Vista AZ 3 $41
20.4 mi
21 RENO NV 6 $40
10.1 mi
22 OAKLAND CA 4 $39
14.4 mi
23 Riverside CA 4 $31
11.7 mi
24 Santa Ana CA 3 $29
14.2 mi ✈ 1
25 Beverly Hills CA 3 $23
11.5 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 Michael Burris 569 $22,626
59.3 mi 90 ✈ 21 $177,703 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 Kwame Cobb 40 $5,928
309 mi 221.2 mi 26 ✈ 9 4 $35,493
2 Fernando Lemos 32 $3,692
221 mi 172.2 mi 3 2 $35
3 Omar Serrano 93 $3,521
81 mi 56.5 mi 13 ✈ 2 2 $32,378
4 Michael Russell 56 $2,376
77 mi 63.3 mi 13 ✈ 2 5 $12,226
5 Tim Holman 77 $1,995
65 mi 38.7 mi 4 3 $24,400
6 Justin Armas 48 $1,867
99 mi 58.1 mi 9 ✈ 1 3 $10,765
7 Michah Brackett 40 $1,268
229 mi 47.3 mi 8 ✈ 5 5 $23,223
8 Angel Rios 64 $605
70 mi 14.1 mi 10 2 $13,838
9 Rene Yescas 52 $282
36 mi 8.1 mi 1 ✈ 1 1 $12,932
10 Jason Morris 43 $237
43 mi 8.2 mi 0 2 $9,739
11 Nidal Al-Sharif 13 $0
0 mi 0.0 mi 0 1