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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
111
Total Travel Cost
$12,601
18,807 miles
Avoidable Cost
$8,678
12,952 excess miles
Optimal Cost
$3,923
If closest tech always used
Avg Excess / WO
116.7 mi
$78.18 per WO
Median Excess
0.0 mi
Outlier Rate (>50mi)
9%
10 WOs

Actual Travel Expenses

From 85 WOs with expense data
Total Expenses
$59,855
Labor - Travel
$39,876
Mileage
$0
Lodging
$5,926
Airfare
$6,894
Car Rental
$2,384
Per Diem
$1,975
Meals
$0
Other
$2,800
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 4 $4,825
55.6%		 1,800.5 mi 4 ✈ 4 $17,565 2
2 Lab/Power 3 $1,962
22.6%		 976.1 mi 3 ✈ 2 $6,028 2
3 Installation 3 $1,830
21.1%		 910.3 mi 3 ✈ 3 $3,760 1
4 Animal Health 9 $56
0.6%		 9.3 mi 0 — $3,871 2
5 Healthcare Provider 89 $5
0.1%		 0.1 mi 0 — $22,504 2
6 EMS 3 $0
0%		 0.0 mi 0 ✈ 1 $6,128 1

By State

States with the highest total avoidable travel cost.

# State WOs Avoidable Cost Impact Avg Excess Flew
1 WA 111 $8,678
116.7 mi ✈ 10

By City

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

# City State WOs Avoidable Cost Impact Avg Excess Flew
1 Tacoma WA 13 $4,825
554.0 mi ✈ 4
2 Bellevue WA 6 $0
0.0 mi —
3 Everett WA 3 $0
0.0 mi —
4 REDMOND, WA 16 $0
0.0 mi —
5 Renton WA 8 $0
0.0 mi —
6 SEATTLE WA 5 $0
0.0 mi —
7 Seattle WA 8 $0
0.0 mi ✈ 1
8 Seattle, WA 3 $0
0.0 mi —
9 TACOMA WA 3 $0
0.0 mi —
10 VANCOUVER WA 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 81 $393
7.2 mi 2 ✈ 3 $34,843 4
2 Rhea Berry 20 $0
0.0 mi 0 — $1,618 2

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 92 $61
25 mi 1.0 mi 0 — 1 $24,550
2 Jason Morris 5 $0
49 mi 0.0 mi 0 — 1 $1,375