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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
623
Total Travel Cost
$35,268
52,638 miles
Avoidable Cost
$27,058
40,385 excess miles
Optimal Cost
$8,210
If closest tech always used
Avg Excess / WO
64.8 mi
$43.43 per WO
Median Excess
14.0 mi
Outlier Rate (>50mi)
23.4%
146 WOs

Actual Travel Expenses

From 412 WOs with expense data
Total Expenses
$109,245
Labor - Travel
$82,708
Mileage
$0
Lodging
$9,507
Airfare
$3,931
Car Rental
$5,048
Per Diem
$2,800
Meals
$0
Other
$5,251
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 623 $27,058
100%		 64.8 mi 146 ✈ 5 $109,245 17

By State

States with the highest total avoidable travel cost.

# State WOs Avoidable Cost Impact Avg Excess Flew
1 NY 623 $27,058
64.8 mi ✈ 5

By City

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

# City State WOs Avoidable Cost Impact Avg Excess Flew
1 UTICA NY 10 $5,960
889.5 mi —
2 Bronx NY 24 $4,172
259.5 mi ✈ 3
3 AUBURN NY 22 $2,214
150.2 mi —
4 Oswego NY 19 $1,970
154.8 mi —
5 GROTON NY 4 $1,838
685.9 mi —
6 Bellerose NY 7 $1,055
225.0 mi —
7 Perrysburg NY 11 $716
97.2 mi ✈ 2
8 Brooklyn NY 22 $605
41.0 mi —
9 Minoa NY 5 $481
143.5 mi —
10 Orchard Park NY 9 $396
65.7 mi —
11 WILLIAMSVILLE NY 10 $362
54.0 mi —
12 New York NY 35 $250
10.7 mi —
13 BROOKLYN NY 12 $203
25.3 mi —
14 MASSAPEQUA NY 3 $184
91.3 mi —
15 NEWBURGH NY 3 $182
90.5 mi —
16 WEST SENECA NY 3 $176
87.2 mi —
17 ROCHESTER NY 4 $165
61.8 mi —
18 West Seneca NY 4 $163
60.8 mi —
19 Lakeview NY 3 $144
71.6 mi —
20 OSWEGO NY 9 $131
21.7 mi —
21 Camillus NY 12 $123
15.3 mi —
22 Cheektowaga NY 3 $117
58.3 mi —
23 Little Valley NY 3 $108
53.7 mi —
24 N SYRACUSE NY 11 $78
10.5 mi —
25 ITHACA NY 5 $71
21.2 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 548 $14,368
39.1 mi 96 ✈ 3 $96,423 15
2 Scott Berry 9 $2,718
450.7 mi 9 — — 1
3 Mozammel Sajib 34 $1,252
55.0 mi 27 — $817 2
4 Rhea Berry 11 $38
5.2 mi 0 — $2,825 4

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 Megan Allen 6 $5,952
1,509 mi 1,480.7 mi 6 — 1 —
2 James Duff 11 $5,358
745 mi 727.0 mi 11 ✈ 1 1 $3,117
3 Scott A Berry 15 $4,494
466 mi 447.1 mi 15 — 1 —
4 Erwin Forster 105 $3,180
64 mi 45.2 mi 71 ✈ 1 1 $8,452
5 Taylor Duda 66 $1,096
43 mi 24.8 mi 6 — 1 $3,753
6 Edward Arias 71 $1,049
47 mi 22.1 mi 11 — 1 $11,418
7 Pete Ramos 45 $766
37 mi 25.4 mi 1 — 1 $16,014
8 Mohamed Shareed 81 $656
36 mi 12.1 mi 7 — 1 $9,203
9 Bernard Thompson 51 $549
50 mi 16.0 mi 1 — 1 $3,051
10 Hector Castaneda 5 $481
144 mi 143.5 mi 5 — 1 $5,643
11 Darek Kirkpatrick 58 $425
31 mi 10.9 mi 4 — 1 $6,765
12 David Trost 72 $240
17 mi 5.0 mi 0 — 1 $20,589
13 Luis Torres 5 $146
62 mi 43.5 mi 2 — 1 $2,219
14 Curtis Allen 6 $96
39 mi 24.0 mi 1 — 1 $1,815
15 Darrell Hope 21 $60
17 mi 4.3 mi 0 — 1 $5,185