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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
440
Total Travel Cost
$18,063
26,959 miles
Avoidable Cost
$11,730
17,508 excess miles
Optimal Cost
$6,349
If closest tech always used
Avg Excess / WO
39.7 mi
$26.62 per WO
Median Excess
4.3 mi
Outlier Rate (>50mi)
12%
53 WOs

Actual Travel Expenses

From 262 WOs with expense data
Total Expenses
$63,788
Labor - Travel
$42,805
Mileage
$2,649
Lodging
$5,920
Airfare
$1,748
Car Rental
$3,980
Per Diem
$1,725
Meals
$0
Other
$4,960
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 276 $7,679
65.5%		 41.5 mi 48 ✈ 3 $48,524 14
2 Kiosk 85 $3,811
32.5%		 66.9 mi 5 — $1,743 9
3 EMS 63 $200
1.7%		 4.7 mi 0 — $13,022 8
4 Animal Health 3 $40
0.3%		 19.9 mi 0 — $500 3
5 Bed Services 4 $0
0%		 0.0 mi 0 — — 1
6 Training/Other 9 $0
0%		 0.0 mi 0 — — 8

By State

States with the highest total avoidable travel cost.

# State WOs Avoidable Cost Impact Avg Excess Flew
1 NY 440 $11,730
39.8 mi ✈ 3

By City

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

# City State WOs Avoidable Cost Impact Avg Excess Flew
1 Bronx NY 16 $2,549
237.8 mi ✈ 2
2 Bellerose NY 4 $1,025
382.6 mi —
3 Monroe NY 5 $757
226.1 mi —
4 Brooklyn NY 18 $561
46.5 mi —
5 Minoa NY 6 $481
119.6 mi —
6 Perrysburg NY 8 $353
65.9 mi ✈ 1
7 Orchard Park NY 3 $176
87.6 mi —
8 AUBURN NY 12 $174
21.6 mi —
9 ROCHESTER NY 3 $165
82.4 mi —
10 New York NY 18 $116
9.6 mi —
11 WILLIAMSVILLE NY 3 $107
53.2 mi —
12 Oswego NY 7 $102
21.6 mi —
13 Poughkeepsie NY 3 $61
30.5 mi —
14 White Plains NY 4 $57
21.4 mi —
15 Staten Island NY 8 $56
10.4 mi —
16 CAMILLUS NY 4 $54
20.3 mi —
17 ITHACA NY 3 $54
26.6 mi —
18 North Salem NY 4 $47
17.4 mi —
19 BRONX NY 9 $44
7.3 mi —
20 Newburgh NY 3 $44
21.7 mi —
21 Camillus NY 4 $42
15.6 mi —
22 Commack NY 8 $41
7.6 mi —
23 Amherst NY 4 $37
13.9 mi —
24 Williamsville NY 3 $35
17.5 mi —
25 NEW YORK NY 5 $33
9.9 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 440 $11,730
39.8 mi 53 ✈ 3 $63,788 15

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 Christopher Carroll 7 $5,036
1,094 mi 1,073.8 mi 7 ✈ 1 1 $4,004
2 James Duff 5 $2,530
758 mi 755.3 mi 5 ✈ 1 1 $2,695
3 Erwin Forster 76 $980
49 mi 19.2 mi 23 ✈ 1 1 $8,075
4 Bernard Thompson 52 $552
49 mi 15.8 mi 1 — 1 $1,192
5 Hector Castaneda 7 $481
103 mi 102.5 mi 5 — 1 $5,643
6 Edward Arias 40 $445
36 mi 16.6 mi 2 — 1 $3,704
7 Taylor Duda 21 $385
41 mi 27.3 mi 3 — 1 $969
8 Mohamed Shareed 43 $353
34 mi 12.3 mi 4 — 1 $3,994
9 Pete Ramos 15 $251
37 mi 24.9 mi 0 — 1 $3,961
10 David Trost 67 $225
17 mi 5.0 mi 0 — 1 $12,371
11 Darek Kirkpatrick 40 $200
24 mi 7.5 mi 1 — 1 $2,797
12 Luis Torres 10 $176
94 mi 26.2 mi 2 — 1 $2,070
13 Darrell Hope 50 $104
18 mi 3.1 mi 0 — 1 $8,457
14 Curtis Allen 6 $13
32 mi 3.1 mi 0 — 1 $2,232