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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
101
Total Travel Cost
$4,157
6,204 miles
Avoidable Cost
$2,362
3,526 excess miles
Optimal Cost
$1,794
If closest tech always used
Avg Excess / WO
34.9 mi
$23.39 per WO
Median Excess
19.1 mi
Outlier Rate (>50mi)
13.9%
14 WOs

Actual Travel Expenses

From 2 WOs with expense data
Total Expenses
$412
Labor - Travel
$220
Mileage
$0
Lodging
$0
Airfare
$0
Car Rental
$0
Per Diem
$0
Meals
$0
Other
$192
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 39 $1,401
61.7%		 53.6 mi 12 — — 7
2 Bed Services 25 $534
23.5%		 31.9 mi 0 — — 1
3 Healthcare Provider 16 $193
8.5%		 18.0 mi 1 — $220 5
4 Kiosk 19 $143
6.3%		 11.3 mi 0 — $192 2

By State

States with the highest total avoidable travel cost.

# State WOs Avoidable Cost Impact Avg Excess Flew
1 PA 101 $2,362
34.9 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 Erie PA 7 $928
197.8 mi —
2 Philadelphia PA 24 $522
32.4 mi —
3 Media PA 5 $245
73.1 mi —
4 PITTSBURGH PA 10 $128
19.1 mi —
5 Harrisburg PA 4 $86
32.1 mi —
6 Easton PA 3 $31
15.5 mi —
7 PHILADELPHIA PA 3 $31
15.5 mi —
8 Lehighton PA 4 $30
11.3 mi —
9 Lititz PA 4 $15
5.8 mi —
10 Exton PA 5 $10
3.0 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 Mandy Newman 16 $1,043
97.3 mi 7 — — 2
2 Melissa Owens 31 $401
19.3 mi 2 — $220 5
3 Laura Hill 12 $260
32.3 mi 0 — — 1
4 Kourtney Smith 12 $255
31.7 mi 0 — — 1

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 Fady Messak 7 $928
314 mi 197.8 mi 7 — 1 —
2 Pete Ramos 25 $534
47 mi 31.9 mi 0 — 1 —
3 Alberto Galan 5 $245
79 mi 73.1 mi 5 — 1 —
4 Philip Krogstad 10 $170
52 mi 25.3 mi 1 — 1 —
5 Maximilian Tucker 16 $143
42 mi 13.4 mi 0 — 1 $192
6 Eric Mancerella 10 $128
23 mi 19.1 mi 0 — 1 —
7 Michael Steencken 5 $52
41 mi 15.6 mi 0 — 1 —
8 Rodney Charles 10 $48
28 mi 7.2 mi 0 — 1 —