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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
160
Total Travel Cost
$4,454
6,647 miles
Avoidable Cost
$1,044
1,558 excess miles
Optimal Cost
$3,410
If closest tech always used
Avg Excess / WO
9.7 mi
$6.52 per WO
Median Excess
0.0 mi
Outlier Rate (>50mi)
1.3%
2 WOs

Actual Travel Expenses

From 60 WOs with expense data
Total Expenses
$4,626
Labor - Travel
$0
Mileage
$0
Lodging
$0
Airfare
$0
Car Rental
$0
Per Diem
$0
Meals
$0
Other
$4,626
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 Kiosk 160 $1,044
100%		 9.7 mi 2 — $4,626 5

By State

States with the highest total avoidable travel cost.

# State WOs Avoidable Cost Impact Avg Excess Flew
1 PA 160 $1,044
9.7 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 Allentown PA 6 $121
30.1 mi —
2 Lancaster PA 9 $100
16.5 mi —
3 Harrisburg PA 4 $80
30.0 mi —
4 Elizabethtown PA 4 $45
16.7 mi —
5 Easton PA 4 $41
15.1 mi —
6 Bartonsville PA 5 $36
10.5 mi —
7 Burnham PA 3 $31
15.7 mi —
8 Brodheadsville PA 3 $19
9.4 mi —
9 Phoenixville PA 6 $6
1.5 mi —
10 Royersford PA 4 $6
2.2 mi —
11 Hatfield PA 3 $4
2.2 mi —
12 Chalfont PA 6 $4
0.9 mi —
13 Philadelphia PA 8 $1
0.3 mi —
14 West Chester PA 3 $0
0.0 mi —
15 Collegeville PA 3 $0
0.0 mi —
16 Flourtown PA 5 $0
0.0 mi —
17 Reading PA 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 Melissa Owens 74 $495
10.0 mi 0 — $114 3
2 Kourtney Smith 6 $40
9.8 mi 1 — — 3
3 Rhea Berry 7 $35
7.5 mi 0 — $235 3
4 Laura Hill 5 $34
10.2 mi 0 — $323 3
5 Charles Ramen 10 $0
0.0 mi 0 — — 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 Maximilian Tucker 97 $774
41 mi 11.9 mi 1 — 1 $3,651
2 Philip Krogstad 42 $172
42 mi 6.1 mi 0 — 1 $609
3 Chris Galasso 7 $59
30 mi 12.5 mi 0 — 1 $366
4 Brandon Green 10 $0
51 mi 0.0 mi 0 — 1 —