Travel & Margin Analysis

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

Tech Placement Detail →

WOs Analyzed

144

Total Travel Cost

$12,402

18,511 miles

Avoidable Cost

$7,677

11,459 excess miles

Optimal Cost

$4,725

If closest tech always used

Avg Excess / WO

79.6 mi

$53.32 per WO

Median Excess

0.0 mi

Outlier Rate (>50mi)

25%

36 WOs

Actual Travel Expenses

From 65 WOs with expense data

Total Expenses

$23,759

Labor - Travel

$17,260

Mileage

$2,791

Lodging

$1,701

Airfare

Car Rental

Per Diem

$825

Meals

Other

$1,182

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	FCO	19	$3,319	43.2%	260.7 mi	4	—	—	3
2	Lab/Power	17	$2,320	30.2%	203.6 mi	17	—	$2,021	1
3	Healthcare Provider	44	$1,160	15.1%	39.4 mi	13	—	$15,770	3
4	Kiosk	41	$779	10.1%	28.4 mi	1	—	$1,067	2
5	EMS	21	$100	1.3%	7.1 mi	1	—	$4,901	2

By State

States with the highest total avoidable travel cost.

#	State	WOs	Avoidable Cost	Impact	Avg Excess	Flew
1	OK	144	$7,678		79.6 mi	—

By City

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

#	City	State	WOs	Avoidable Cost	Avg Excess	Flew
1	Oklahoma City	OK	37	$2,534	102.2 mi	—
2	OKLAHOMA CITY	OK	13	$2,112	242.5 mi	—
3	Owasso	OK	3	$773	384.7 mi	—
4	Tulsa	OK	11	$289	39.2 mi	—
5	Lawton	OK	5	$71	21.1 mi	—
6	NORMAN	OK	7	$0	0.0 mi	—
7	Okmulgee	OK	4	$0	0.0 mi	—
8	Altus	OK	4	$0	0.0 mi	—
9	Yukon	OK	3	$0	0.0 mi	—
10	Edmond	OK	7	$0	0.0 mi	—
11	Midwest City	OK	3	$0	0.0 mi	—
12	Moore	OK	5	$0	0.0 mi	—
13	Norman	OK	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	Avg Excess	Outliers	Flew	Actual Expense	Techs Used
1	Leona Coonrod	16	$2,216	206.8 mi	16	—	$1,768	1
2	Kaitlyn Kelch	102	$1,331	19.5 mi	15	—	$20,487	4
3	Laura Hill	18	$888	73.6 mi	1	—	$1,064	2

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	Avg Actual Dist	Avg Excess	Outliers	Flew	States	Actual Expense
1	Maria Davis	17	$2,320	221 mi	203.6 mi	17	—	1	$2,021
2	Zachary Stieben	10	$916	198 mi	136.7 mi	10	—	1	$150
3	Darrell Hendrix	107	$80	52 mi	1.1 mi	1	—	1	$18,376