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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
228
Total Travel Cost
$9,122
13,615 miles
Avoidable Cost
$4,834
7,215 excess miles
Optimal Cost
$4,289
If closest tech always used
Avg Excess / WO
31.6 mi
$21.20 per WO
Median Excess
5.3 mi
Outlier Rate (>50mi)
13.2%
30 WOs

Actual Travel Expenses

From 134 WOs with expense data
Total Expenses
$64,315
Labor - Travel
$57,076
Mileage
$0
Lodging
$2,772
Airfare
$1,237
Car Rental
$798
Per Diem
$1,150
Meals
$0
Other
$1,283
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 228 $4,834
100%		 31.6 mi 30 ✈ 2 $64,315 8

By State

States with the highest total avoidable travel cost.

# State WOs Avoidable Cost Impact Avg Excess Flew
1 CA 228 $4,834
31.6 mi ✈ 2

By City

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

# City State WOs Avoidable Cost Impact Avg Excess Flew
1 Modesto CA 11 $1,621
219.9 mi ✈ 1
2 Los Angeles CA 19 $1,317
103.5 mi —
3 San Diego CA 7 $271
57.8 mi —
4 San Jose CA 3 $105
52.3 mi ✈ 1
5 Murrieta CA 3 $58
29.1 mi —
6 Aliso Viejo CA 3 $54
26.7 mi —
7 Beverly Hills CA 3 $28
13.9 mi —
8 Huntington Beach CA 3 $21
10.8 mi —
9 Riverside CA 3 $21
10.6 mi —
10 Roseville CA 3 $18
8.9 mi —
11 Sacramento CA 16 $18
1.7 mi —
12 Burbank CA 4 $16
6.0 mi —
13 Yuba City CA 4 $15
5.5 mi —
14 Pasadena CA 5 $7
2.2 mi —
15 Redding CA 3 $7
3.5 mi —
16 Martinez CA 3 $7
3.5 mi —
17 Folsom CA 7 $6
1.3 mi —
18 Bell Gardens CA 12 $0
0.0 mi —
19 Bellflower CA 12 $0
0.0 mi —
20 Huntington Park CA 8 $0
0.0 mi —
21 OAKLAND CA 3 $0
0.0 mi —
22 SALINAS CA 3 $0
0.0 mi —
23 Salinas CA 4 $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 Michael Burris 189 $4,790
37.8 mi 30 ✈ 1 $55,304 8
2 Rhea Berry 38 $38
1.5 mi 0 — $4,306 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 Omar Serrano 111 $2,192
49 mi 29.5 mi 12 ✈ 1 1 $30,358
2 Michael Russell 9 $1,410
239 mi 233.7 mi 9 — 1 $1,379
3 Angel Rios 43 $317
63 mi 11.0 mi 5 — 1 $11,082
4 Kwame Cobb 16 $251
45 mi 23.5 mi 0 — 1 $3,829
5 Justin Armas 36 $198
44 mi 8.2 mi 2 ✈ 1 1 $15,329
6 Rene Yescas 11 $119
43 mi 16.2 mi 1 — 1 $1,898