Travel & Margin Analysis

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

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WOs Analyzed

194

Total Travel Cost

$16,976

25,337 miles

Avoidable Cost

$11,103

16,572 excess miles

Optimal Cost

$5,872

If closest tech always used

Avg Excess / WO

85.4 mi

$57.23 per WO

Median Excess

7.4 mi

Outlier Rate (>50mi)

21.1%

41 WOs

Actual Travel Expenses

From 68 WOs with expense data

Total Expenses

$15,081

Labor - Travel

$12,710

Mileage

Lodging

$1,391

Airfare

Car Rental

Per Diem

$475

Meals

Other

$505

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	192	$10,563	100%	82.1 mi	40	—	$14,831	10

By State

States with the highest total avoidable travel cost.

#	State	WOs	Avoidable Cost	Avg Excess	Flew
1	GA	98	$7,287	111.0 mi	—
2	NC	20	$1,196	89.3 mi	—
3	FL	4	$973	363.0 mi	—
4	TX	28	$540	28.8 mi	—
5	AL	10	$398	59.4 mi	—
6	Tx	29	$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	AUGUSTA	GA	20	$6,754	504.1 mi	—
2	Pensacola	FL	3	$973	484.1 mi	—
3	CHARLOTTE	NC	4	$579	216.0 mi	—
4	Kinston	NC	9	$494	81.9 mi	—
5	Mobile	AL	4	$398	148.6 mi	—
6	ATLANTA,	GA	35	$304	13.0 mi	—
7	Shelby	NC	5	$70	20.8 mi	—
8	Athens	GA	3	$56	27.7 mi	—
9	Conyers	GA	3	$54	26.6 mi	—
10	Johns Creek	GA	3	$20	10.1 mi	—
11	Atlanta	GA	8	$14	2.7 mi	—
12	Houston	Tx	29	$0	0.0 mi	—
13	Albany,	GA	19	$0	0.0 mi	—
14	HOUSTON	TX	27	$0	0.0 mi	—
15	Jasper	AL	4	$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	Erin Martin	194	$11,103		85.4 mi	41	—	$15,081	12

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	19	$6,721	631 mi	528.0 mi	19	—	1	—
2	Bruce Ballard	70	$1,060	73 mi	22.6 mi	4	—	2	$2,308
3	Marvin Rivas	59	$973	39 mi	24.6 mi	3	—	3	$628
4	Patricia Gordon	16	$617	124 mi	57.6 mi	6	—	1	$5,308
5	Samuel Biddie	10	$398	99 mi	59.4 mi	4	—	1	$4,410
6	Nkosi Wilson	13	$85	33 mi	9.8 mi	1	—	1	$1,712