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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
$3,022
4,511 miles
Avoidable Cost
$40
60 excess miles
Optimal Cost
$2,982
If closest tech always used
Avg Excess / WO
0.4 mi
$0.27 per WO
Median Excess
0.0 mi
Outlier Rate (>50mi)
0%
0 WOs

Actual Travel Expenses

From 121 WOs with expense data
Total Expenses
$45,364
Labor - Travel
$44,363
Mileage
$0
Lodging
$457
Airfare
$0
Car Rental
$0
Per Diem
$375
Meals
$0
Other
$169
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 148 $40
100%		 0.4 mi 0 — $45,364 2

By State

States with the highest total avoidable travel cost.

# State WOs Avoidable Cost Impact Avg Excess Flew
1 WA 148 $40
0.4 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 Tacoma WA 13 $12
1.4 mi —
2 Seattle WA 14 $11
1.2 mi —
3 Everett WA 4 $4
1.4 mi —
4 Redmond WA 3 $2
1.1 mi —
5 PROSSER, WA 5 $0
0.0 mi —
6 REDMOND, WA 16 $0
0.0 mi —
7 Renton WA 9 $0
0.0 mi —
8 Seattle, WA 4 $0
0.0 mi —
9 SEATTLE WA 9 $0
0.0 mi —
10 TACOMA WA 3 $0
0.0 mi —
11 Vancouver WA 3 $0
0.0 mi —
12 VANCOUVER WA 5 $0
0.0 mi —
13 Bellevue WA 8 $0
0.0 mi —
14 WENATCHEE WA 3 $0
0.0 mi —
15 Lacey WA 4 $0
0.0 mi —
16 Marysville WA 3 $0
0.0 mi —
17 Olympia WA 3 $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 125 $40
0.5 mi 0 — $40,109 2
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 139 $40
29 mi 0.4 mi 0 — 1 $42,756
2 Jason Morris 9 $0
50 mi 0.0 mi 0 — 1 $2,608