Travel & Margin Analysis

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

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WOs Analyzed

149

Total Travel Cost

$30,322

45,257 miles

Avoidable Cost

$25,917

38,682 excess miles

Optimal Cost

$4,405

If closest tech always used

Avg Excess / WO

259.6 mi

$173.94 per WO

Median Excess

97.8 mi

Outlier Rate (>50mi)

57%

85 WOs

Actual Travel Expenses

From 61 WOs with expense data

Total Expenses

$46,177

Labor - Travel

$32,310

Mileage

Lodging

$4,709

Airfare

$3,455

Car Rental

$1,261

Per Diem

$1,700

Meals

$458

Other

$2,283

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	149	$25,917	100%	259.6 mi	85	✈ 6	$46,177	29

By State

States with the highest total avoidable travel cost.

#	State	WOs	Avoidable Cost	Avg Excess	Flew
1	FL	38	$13,121	515.4 mi	✈ 4
2	TN	17	$3,818	335.2 mi	—
3	KS	3	$1,664	827.5 mi	—
4	PA	27	$1,505	83.2 mi	—
5	GA	6	$1,252	311.4 mi	—
6	NY	22	$957	64.9 mi	✈ 1
7	NC	5	$683	203.9 mi	—
8	VA	3	$512	254.8 mi	—
9	MA	5	$241	71.7 mi	—
10	NJ	4	$27	10.2 mi	—
11	ME	3	$0	0.0 mi	—

By City

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

#	City	State	WOs	Avoidable Cost	Avg Excess	Flew
1	Orlando	FL	12	$5,756	715.9 mi	✈ 2
2	Nashville	TN	17	$3,818	335.2 mi	—
3	Lakeland	FL	4	$1,876	700.1 mi	—
4	LAWRENCE	KS	3	$1,664	827.5 mi	—
5	Erie	PA	8	$963	179.8 mi	—
6	Raleigh	NC	5	$683	203.9 mi	—
7	New York	NY	10	$117	17.4 mi	—
8	PITTSBURGH	PA	9	$115	19.1 mi	—
9	Brooklyn	NY	4	$27	10.1 mi	—
10	Allendale	NJ	3	$17	8.5 mi	—
11	SOUTH MIAMI,	FL	9	$13	2.2 mi	—
12	SOUTH PORTLAND	ME	3	$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	Mandy Newman	149	$25,917		259.6 mi	85	✈ 6	$46,177	29

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	Fady Messak	50	$14,977	524 mi	447.1 mi	42	✈ 4	13	$15,124
2	Patricia Gordon	19	$3,958	328 mi	310.9 mi	19	—	2	$1,151
3	Raymond Ebanks	5	$649	229 mi	193.5 mi	3	—	2	$4,195
4	Luis Iser	11	$395	77 mi	53.6 mi	2	—	1	$4,155
5	Eric Mancerella	10	$180	45 mi	26.9 mi	1	—	2	$18
6	Alberto Galan	8	$159	36 mi	29.8 mi	2	—	3	$3,358
7	Fady Khouzam	8	$84	41 mi	15.7 mi	1	—	2	$2,938