Travel & Margin Analysis

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

Tech Placement Detail →
WOs Analyzed
140
Total Travel Cost
$34,558
51,579 miles
Avoidable Cost
$24,408
36,429 excess miles
Optimal Cost
$10,150
If closest tech always used
Avg Excess / WO
260.2 mi
$174.34 per WO
Median Excess
144.3 mi
Outlier Rate (>50mi)
76.4%
107 WOs

Actual Travel Expenses

From 105 WOs with expense data
Total Expenses
$45,546
Labor - Travel
$34,492
Mileage
$106
Lodging
$4,229
Airfare
$2,688
Car Rental
$938
Per Diem
$1,575
Meals
$0
Other
$1,518

🎯 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 99 $14,257
59.5%
214.9 mi 74 ✈ 1 $39,745 10
2 Kiosk 25 $6,911
28.8%
412.6 mi 22 $919 7
3 EMS 8 $2,791
11.6%
520.7 mi 8 ✈ 1 $3,257 4
4 Training/Other 3 $0
0%
0.0 mi 0 1

By State

States with the highest total avoidable travel cost.

# State WOs Avoidable Cost Impact Avg Excess Flew
1 IL 140 $24,407
260.2 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 Chicago IL 41 $4,947
180.1 mi
2 CHICAGO IL 4 $1,045
389.7 mi
3 Joliet IL 3 $963
479.2 mi
4 Naperville IL 5 $472
140.8 mi
5 Schaumburg IL 3 $188
93.8 mi
6 La Grange Park IL 3 $183
91.1 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 Charles Ramen 140 $24,407
260.2 mi 107 ✈ 3 $45,546 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 Andrew Przybyla 10 $8,804
1,421 mi 1,314.1 mi 10 1 $2,476
2 Mike Huffman 42 $4,896
301 mi 174.0 mi 42 1 $14,433
3 Franco Jackson 16 $1,402
250 mi 130.7 mi 16 1 $2,135
4 Vincent Nyathi 17 $1,100
161 mi 96.6 mi 11 1 $6,609
5 Ronnie Salone 5 $1,032
335 mi 308.1 mi 5 1 $102
6 Jon Kuehl 26 $848
142 mi 48.7 mi 10 1 $8,296
7 Kevin Cox 5 $26
88 mi 7.8 mi 0 1 $271