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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
148
Total Travel Cost
$6,561
9,792 miles
Avoidable Cost
$612
913 excess miles
Optimal Cost
$5,949
If closest tech always used
Avg Excess / WO
6.2 mi
$4.13 per WO
Median Excess
0.0 mi
Outlier Rate (>50mi)
2%
3 WOs

Actual Travel Expenses

From 132 WOs with expense data
Total Expenses
$65,904
Labor - Travel
$55,348
Mileage
$0
Lodging
$3,625
Airfare
$2,987
Car Rental
$1,188
Per Diem
$1,300
Meals
$0
Other
$1,456
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 Lab/Power 4 $498
81.3%		 185.6 mi 3 ✈ 2 $6,715 2
2 Animal Health 14 $74
12.1%		 7.9 mi 0 — $7,074 2
3 Healthcare Provider 125 $40
6.6%		 0.5 mi 0 — $40,109 2
4 EMS 4 $0
0%		 0.0 mi 0 ✈ 2 $12,006 1

By State

States with the highest total avoidable travel cost.

# State WOs Avoidable Cost Impact Avg Excess Flew
1 WA 148 $612
6.2 mi ✈ 4

By City

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

# City State WOs Avoidable Cost Impact Avg Excess Flew
1 Redmond WA 4 $168
62.6 mi —
2 Montesano WA 3 $28
13.8 mi —
3 Seattle WA 19 $18
1.4 mi ✈ 2
4 Tacoma WA 13 $12
1.4 mi —
5 Edmonds WA 3 $5
2.8 mi —
6 Everett WA 3 $4
1.9 mi —
7 Seattle, WA 3 $0
0.0 mi —
8 SEATTLE WA 9 $0
0.0 mi —
9 TACOMA WA 3 $0
0.0 mi —
10 Vancouver WA 3 $0
0.0 mi —
11 VANCOUVER WA 3 $0
0.0 mi —
12 Bellevue WA 7 $0
0.0 mi —
13 WENATCHEE WA 3 $0
0.0 mi —
14 Lacey WA 4 $0
0.0 mi —
15 Marysville WA 3 $0
0.0 mi —
16 Olympia WA 3 $0
0.0 mi —
17 PROSSER, WA 5 $0
0.0 mi —
18 Renton WA 10 $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 148 $612
6.2 mi 3 ✈ 4 $65,904 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 Tim Holman 133 $115
33 mi 1.3 mi 0 — 1 $45,006
2 Jason Morris 7 $0
51 mi 0.0 mi 0 — 1 $2,415
3 Michah Brackett 5 $0
447 mi 0.0 mi 0 ✈ 2 1 $12,455