Travel & Margin Analysis

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

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WOs Analyzed

157

Total Travel Cost

$47,171

70,404 miles

Avoidable Cost

$44,131

65,867 excess miles

Optimal Cost

$3,040

If closest tech always used

Avg Excess / WO

419.5 mi

$281.09 per WO

Median Excess

304.6 mi

Outlier Rate (>50mi)

86.6%

136 WOs

Actual Travel Expenses

From 42 WOs with expense data

Total Expenses

$28,031

Labor - Travel

$10,236

Mileage

Lodging

$6,993

Airfare

$3,718

Car Rental

$2,777

Per Diem

$2,100

Meals

Other

$2,207

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	Bed Services	88	$25,380	57.5%	430.5 mi	69	✈ 2	$7,363	13
2	Project	69	$18,751	42.5%	405.6 mi	67	✈ 4	$20,668	4

By State

States with the highest total avoidable travel cost.

#	State	WOs	Avoidable Cost	Avg Excess	Flew
1	LA	83	$21,608	388.6 mi	✈ 5
2	WI	19	$13,714	1,077.3 mi	—
3	SC	24	$3,721	231.4 mi	—
4	VA	12	$3,389	421.5 mi	—
5	NC	3	$1,118	556.1 mi	✈ 1
6	FL	15	$581	57.8 mi	—

By City

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

#	City	State	WOs	Avoidable Cost	Avg Excess	Flew
1	Jefferson	LA	69	$18,751	405.6 mi	✈ 4
2	Wauwatosa	WI	19	$13,714	1,077.3 mi	—
3	Greenville	SC	19	$3,483	273.6 mi	—
4	Harahan	LA	14	$2,857	304.6 mi	✈ 1
5	Midlothian	VA	8	$2,617	488.3 mi	—
6	Rutherfordton	NC	3	$1,118	556.1 mi	✈ 1
7	Pensacola	FL	15	$581	57.8 mi	—
8	Charleston	SC	4	$6	2.1 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	Jennifer Johnson	157	$44,131		419.5 mi	136	✈ 6	$28,031	14

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	Jennifer Johnson	19	$13,714	1,094 mi	1,077.3 mi	19	—	1	—
2	Yves Dessin	34	$12,333	582 mi	541.4 mi	34	✈ 1	3	$6,967
3	Kenneth Lancara	54	$11,868	366 mi	328.0 mi	54	✈ 3	2	$15,861
4	Kevin Cogdill	16	$3,389	327 mi	316.1 mi	16	—	2	$205
5	Joe Evans	6	$675	178 mi	168.0 mi	6	—	1	$82
6	Craig Walker	12	$0	12 mi	0.0 mi	0	—	1	$105