Travel & Margin Analysis

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

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WOs Analyzed

176

Total Travel Cost

$22,643

33,796 miles

Avoidable Cost

$17,124

25,558 excess miles

Optimal Cost

$5,519

If closest tech always used

Avg Excess / WO

145.2 mi

$97.29 per WO

Median Excess

75.2 mi

Outlier Rate (>50mi)

52.3%

92 WOs

Actual Travel Expenses

From 90 WOs with expense data

Total Expenses

$21,665

Labor - Travel

$13,823

Mileage

$488

Lodging

$2,046

Airfare

$1,136

Car Rental

$1,358

Per Diem

$750

Meals

Other

$2,064

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	Kiosk	92	$15,992	93.4%	259.4 mi	83	✈ 2	$6,314	4
2	Healthcare Provider	55	$614	3.6%	16.7 mi	4	—	$11,078	2
3	EMS	18	$518	3%	42.9 mi	5	—	$3,772	2
4	Bed Services	10	$0	0%	0.0 mi	0	—	$501	1

By State

States with the highest total avoidable travel cost.

#	State	WOs	Avoidable Cost	Impact	Avg Excess	Flew
1	MD	176	$17,124		145.2 mi	✈ 2

By City

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

#	City	State	WOs	Avoidable Cost	Avg Excess	Flew
1	Frederick	MD	13	$1,970	226.2 mi	—
2	Lanham	MD	5	$1,021	304.8 mi	—
3	Gaithersburg	MD	5	$1,012	302.2 mi	—
4	Silver Spring	MD	5	$818	244.3 mi	—
5	Rockville	MD	6	$758	188.5 mi	—
6	Towson	MD	18	$308	25.5 mi	—
7	Baltimore	MD	11	$252	34.1 mi	—
8	Jessup	MD	5	$116	34.6 mi	—
9	Hagerstown	MD	4	$66	24.7 mi	—
10	Westover	MD	4	$17	6.4 mi	—
11	Easton	MD	3	$15	7.6 mi	—
12	Ocean City	MD	3	$3	1.7 mi	—
13	COLUMBIA	MD	7	$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	176	$17,124		145.2 mi	92	✈ 2	$21,665	6

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	Praelow Cameron	76	$15,519	347 mi	304.8 mi	76	✈ 2	1	$6,193
2	Michael Harris	63	$546	57 mi	12.9 mi	4	—	1	$11,610
3	Maximilian Tucker	13	$458	101 mi	52.5 mi	7	—	1	$82
4	Chris Galasso	19	$411	101 mi	32.3 mi	4	—	1	$3,290