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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
98
Total Travel Cost
$2,543
3,796 miles
Avoidable Cost
$1,343
2,005 excess miles
Optimal Cost
$1,200
If closest tech always used
Avg Excess / WO
20.5 mi
$13.71 per WO
Median Excess
11.0 mi
Outlier Rate (>50mi)
12.2%
12 WOs

Actual Travel Expenses

From 6 WOs with expense data
Total Expenses
$415
Labor - Travel
$351
Mileage
$0
Lodging
$0
Airfare
$0
Car Rental
$0
Per Diem
$0
Meals
$0
Other
$63
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 61 $974
73.3%		 23.8 mi 10 — $232 13
2 Bed Services 14 $328
24.7%		 35.0 mi 2 — — 2
3 EMS 11 $27
2.1%		 3.8 mi 0 — $182 4
4 Kiosk 10 $0
0%		 0.0 mi 0 — — 3

By State

States with the highest total avoidable travel cost.

# State WOs Avoidable Cost Impact Avg Excess Flew
1 CT 21 $401
28.5 mi —
2 MA 15 $321
31.9 mi —
3 PA 12 $255
31.7 mi —
4 NY 29 $228
11.7 mi —
5 NJ 13 $60
6.9 mi —
6 RI 5 $5
1.6 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 Philadelphia PA 10 $243
36.3 mi —
2 East Hartford CT 3 $145
72.0 mi —
3 New Haven CT 4 $133
49.8 mi —
4 Peabody MA 3 $88
44.0 mi —
5 Jersey City NJ 4 $11
3.9 mi —
6 BRONX NY 3 $9
4.5 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 Kourtney Smith 98 $1,343
20.5 mi 12 — $415 16

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 Pete Ramos 14 $283
45 mi 30.2 mi 0 — 2 —
2 Mohamed Shareed 8 $227
55 mi 42.4 mi 3 — 2 —
3 David Cavaco 8 $208
77 mi 38.8 mi 2 — 4 —
4 Luis Torres 15 $125
29 mi 12.5 mi 2 — 3 —
5 Edward Arias 6 $123
47 mi 30.5 mi 2 — 2 —
6 David Trost 10 $64
20 mi 9.5 mi 0 — 2 $304
7 Paul Bonang Jr 9 $34
22 mi 5.7 mi 0 — 2 —
8 Darrell Hope 5 $14
20 mi 4.3 mi 0 — 2 —
9 Curtis Allen 6 $7
24 mi 1.8 mi 0 — 1 $32