Travel & Margin Analysis

Quantify excess travel cost and identify optimization opportunities across your field service operation

Tech Placement Detail →
WOs Analyzed
185
Total Travel Cost
$16,662
24,868 miles
Avoidable Cost
$11,141
16,629 excess miles
Optimal Cost
$5,520
If closest tech always used
Avg Excess / WO
89.9 mi
$60.22 per WO
Median Excess
65.7 mi
Outlier Rate (>50mi)
51.4%
95 WOs

Actual Travel Expenses

From 67 WOs with expense data
Total Expenses
$27,580
Labor - Travel
$18,137
Mileage
$188
Lodging
$4,539
Airfare
$1,335
Car Rental
$831
Per Diem
$1,475
Meals
$0
Other
$1,075

🎯 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 Bed Services 62 $8,325
74.7%
200.4 mi 60 ✈ 2 $6,240 5
2 Healthcare Provider 57 $1,868
16.8%
48.9 mi 24 $18,292 4
3 Kiosk 48 $924
8.3%
28.7 mi 11 $802 2
4 Lab/Power 9 $12
0.1%
2.0 mi 0 ✈ 1 $1,571 3
5 Training/Other 4 $11
0.1%
4.3 mi 0 $175 3
6 EMS 4 $0
0%
0.0 mi 0 $232 1

By State

States with the highest total avoidable travel cost.

# State WOs Avoidable Cost Impact Avg Excess Flew
1 SC 185 $11,141
89.9 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 Greenville SC 59 $7,096
179.5 mi ✈ 1
2 Summerville SC 7 $925
197.2 mi
3 COLUMBIA SC 6 $594
147.8 mi
4 Myrtle Beach SC 9 $390
64.7 mi
5 Charleston SC 6 $315
78.4 mi
6 Murrells Inlet SC 4 $161
60.3 mi
7 Mount Pleasant SC 3 $150
74.5 mi
8 Columbia SC 14 $101
10.7 mi
9 Spartanburg SC 4 $97
36.3 mi
10 Aiken SC 3 $62
31.1 mi
11 Lexington SC 4 $24
9.1 mi
12 Manning SC 3 $0
0.0 mi
13 Liberty SC 3 $0
0.0 mi
14 Rock Hill SC 10 $0
0.0 mi
15 Fort Mill SC 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 185 $11,141
89.9 mi 95 ✈ 3 $27,580 11

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 Joe Evans 42 $4,624
173 mi 164.3 mi 41 ✈ 1 1 $2,102
2 Kevin Cogdill 16 $3,103
298 mi 289.5 mi 16 1 $1,941
3 Praelow Cameron 40 $904
111 mi 33.7 mi 11 1 $802
4 Eric Colon 50 $816
66 mi 24.4 mi 13 1 $12,790
5 Christopher Morning 7 $720
160 mi 153.5 mi 7 1 $2,203
6 Rozier Cole 20 $147
46 mi 11.0 mi 2 1 $1,613