Travel & Margin Analysis

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

Tech Placement Detail →
WOs Analyzed
124
Total Travel Cost
$10,757
16,056 miles
Avoidable Cost
$7,721
11,524 excess miles
Optimal Cost
$3,036
If closest tech always used
Avg Excess / WO
92.9 mi
$62.27 per WO
Median Excess
65.7 mi
Outlier Rate (>50mi)
53.2%
66 WOs

Actual Travel Expenses

From 40 WOs with expense data
Total Expenses
$16,716
Labor - Travel
$9,120
Mileage
$188
Lodging
$4,167
Airfare
$693
Car Rental
$671
Per Diem
$1,075
Meals
$0
Other
$804

🎯 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 48 $6,070
78.6%
188.7 mi 46 ✈ 2 $6,029 5
2 Kiosk 42 $833
10.8%
29.6 mi 11 $777 2
3 Healthcare Provider 24 $806
10.4%
50.1 mi 9 $9,512 3
4 Training/Other 4 $11
0.1%
4.3 mi 0 $175 3
5 Lab/Power 4 $0
0%
0.0 mi 0 $18 1

By State

States with the highest total avoidable travel cost.

# State WOs Avoidable Cost Impact Avg Excess Flew
1 SC 124 $7,721
92.9 mi ✈ 2

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 45 $5,643
187.1 mi ✈ 1
2 COLUMBIA SC 6 $594
147.8 mi
3 Summerville SC 3 $284
141.3 mi
4 Myrtle Beach SC 6 $151
37.5 mi
5 Mount Pleasant SC 3 $135
67.5 mi
6 Spartanburg SC 4 $97
36.3 mi
7 Columbia SC 10 $93
13.9 mi
8 Murrells Inlet SC 3 $88
43.6 mi
9 Charleston SC 4 $21
7.9 mi
10 Lexington SC 4 $7
2.6 mi
11 Fort Mill SC 3 $0
0.0 mi
12 Liberty SC 3 $0
0.0 mi
13 Rock Hill SC 4 $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 124 $7,721
92.9 mi 66 ✈ 2 $16,716 10

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 38 $4,174
173 mi 164.0 mi 37 ✈ 1 1 $2,102
2 Kevin Cogdill 6 $1,298
334 mi 322.8 mi 6 1 $1,730
3 Praelow Cameron 34 $833
115 mi 36.6 mi 11 1 $777
4 Eric Colon 20 $212
59 mi 15.8 mi 4 1 $5,018
5 Rozier Cole 15 $0
36 mi 0.0 mi 0 1 $223