Travel & Margin Analysis

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

Tech Placement Detail →
WOs Analyzed
75
Total Travel Cost
$3,021
4,509 miles
Avoidable Cost
$2,619
3,910 excess miles
Optimal Cost
$402
If closest tech always used
Avg Excess / WO
52.1 mi
$34.93 per WO
Median Excess
0.0 mi
Outlier Rate (>50mi)
10.7%
8 WOs

Actual Travel Expenses

From 30 WOs with expense data
Total Expenses
$8,541
Labor - Travel
$2,504
Mileage
$260
Lodging
$2,193
Airfare
$586
Car Rental
$1,846
Per Diem
$200
Meals
$0
Other
$951

🎯 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 29 $1,384
52.8%
71.2 mi 2 ✈ 1 $6,043 4
2 EMS 11 $1,012
38.6%
137.3 mi 1 $1,961 2
3 Kiosk 5 $221
8.4%
66.0 mi 5 $209 1
4 FCO 29 $3
0.1%
0.1 mi 0 $328 2

By State

States with the highest total avoidable travel cost.

# State WOs Avoidable Cost Impact Avg Excess Flew
1 RI 75 $2,620
52.1 mi ✈ 1

By City

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

# City State WOs Avoidable Cost Impact Avg Excess Flew
1 East Providence RI 5 $1,064
317.6 mi
2 Woonsocket RI 3 $619
307.9 mi
3 Providence RI 14 $146
15.5 mi
4 Warwick RI 7 $23
5.0 mi
5 PROVIDENCE RI 23 $0
0.0 mi
6 WARWICK RI 5 $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 Kourtney Smith 40 $1,552
57.9 mi 6 ✈ 1 $7,744 5
2 Megan Klose 14 $0
0.0 mi 0 $11 1

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 Luis Torres 5 $221
76 mi 66.0 mi 5 1 $209
2 David Cavaco 16 $110
18 mi 10.2 mi 0 1 $857
3 Nick O'Neill 5 $76
29 mi 22.6 mi 0 1 $1,858
4 April Nuovo 6 $3
11 mi 0.6 mi 0 1 $158
5 Paul Bonang Jr 17 $3
9 mi 0.2 mi 0 1 $3,047
6 Joseph Nuovo 23 $0
8 mi 0.0 mi 0 1 $170