Travel & Margin Analysis

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

Tech Placement Detail →

WOs Analyzed

134

Total Travel Cost

$22,536

33,636 miles

Avoidable Cost

$21,248

31,714 excess miles

Optimal Cost

$1,288

If closest tech always used

Avg Excess / WO

236.7 mi

$158.57 per WO

Median Excess

356.8 mi

Outlier Rate (>50mi)

61.9%

83 WOs

Actual Travel Expenses

From 8 WOs with expense data

Total Expenses

$3,407

Labor - Travel

$3,314

Mileage

Lodging

Airfare

Car Rental

Per Diem

$50

Meals

Other

$43

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	Lab/Power	72	$17,045	83.3%	353.3 mi	72	—	—	2
2	Kiosk	13	$1,952	9.5%	224.2 mi	2	—	—	4
3	Healthcare Provider	39	$1,098	5.4%	42.0 mi	5	—	$2,859	10
4	Bed Services	3	$375	1.8%	186.3 mi	3	—	$548	1
5	EMS	4	$0	0%	0.0 mi	0	—	—	2

By State

States with the highest total avoidable travel cost.

#	State	WOs	Avoidable Cost	Avg Excess	Flew
1	NM	71	$16,974	356.8 mi	—
2	IL	3	$1,855	922.9 mi	—
3	TX	43	$1,143	39.7 mi	—
4	CO	4	$395	147.4 mi	—
5	AZ	5	$102	30.4 mi	—
6	MO	7	$27	5.7 mi	—

By City

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

#	City	State	WOs	Avoidable Cost	Avg Excess	Flew
1	Albuquerque	NM	71	$16,974	356.8 mi	—
2	San Antonio	TX	8	$510	95.1 mi	—
3	Denver	CO	3	$395	196.5 mi	—
4	Dallas	TX	10	$148	22.1 mi	—
5	Plano	TX	4	$46	17.1 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	Kaitlyn Kelch	134	$21,248		236.7 mi	83	—	$3,407	13

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	Ben Heinz	72	$16,974	357 mi	351.9 mi	71	—	2	—
2	Andrew Przybyla	6	$2,321	616 mi	577.3 mi	3	—	3	—
3	Chane Lacy	7	$436	103 mi	92.9 mi	3	—	1	$1,676
4	Anthony Wirth	9	$113	49 mi	18.8 mi	1	—	1	$1,236
5	Christopher Womack	10	$109	33 mi	16.3 mi	0	—	1	—
6	Zachary Stieben	12	$31	33 mi	3.8 mi	0	—	1	—