Travel & Margin Analysis

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

Tech Placement Detail →

WOs Analyzed

322

Total Travel Cost

$25,301

37,763 miles

Avoidable Cost

$21,735

32,440 excess miles

Optimal Cost

$3,567

If closest tech always used

Avg Excess / WO

100.7 mi

$67.50 per WO

Median Excess

0.0 mi

Outlier Rate (>50mi)

15.5%

50 WOs

Actual Travel Expenses

From 40 WOs with expense data

Total Expenses

$33,274

Labor - Travel

$7,086

Mileage

Lodging

$10,181

Airfare

$3,014

Car Rental

$5,638

Per Diem

$2,775

Meals

Other

$4,580

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	322	$21,735	100%	100.7 mi	50	✈ 8	$33,274	8

By State

States with the highest total avoidable travel cost.

#	State	WOs	Avoidable Cost	Impact	Avg Excess	Flew
1	CA	322	$21,735		100.7 mi	✈ 8

By City

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

#	City	State	WOs	Avoidable Cost	Avg Excess	Flew
1	Redwood City	CA	36	$2,372	98.3 mi	✈ 2
2	Menlo Park	CA	3	$1,778	884.2 mi	—
3	REDWOOD CITY	CA	8	$1,186	221.3 mi	✈ 1
4	SUNNYVALE	CA	3	$572	284.8 mi	✈ 2
5	Sacramento	CA	5	$504	150.5 mi	—
6	Torrance	CA	29	$409	21.0 mi	—
7	SACRAMENTO	CA	3	$405	201.4 mi	✈ 1
8	Pleasanton	CA	20	$198	14.8 mi	—
9	Vacaville	CA	6	$140	34.8 mi	—
10	Chatsworth	CA	4	$101	37.8 mi	—
11	THOUSAND OAKS	CA	3	$88	43.6 mi	—
12	Thousand Oaks	CA	103	$87	1.3 mi	—
13	LOS ANGELES	CA	5	$58	17.3 mi	—
14	South El Monte	CA	5	$10	3.1 mi	—
15	ALAMEDA	CA	6	$5	1.3 mi	—
16	Newark	CA	4	$0	0.0 mi	—
17	Alameda	CA	3	$0	0.0 mi	—
18	Mountain View	CA	3	$0	0.0 mi	—
19	HAYWARD	CA	3	$0	0.0 mi	—
20	Hayward	CA	4	$0	0.0 mi	—
21	Chino	CA	3	$0	0.0 mi	—
22	SOUTH SAN FRANCISCO	CA	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	Avg Excess	Outliers	Flew	Actual Expense	Techs Used
1	Kim Pearson	8	$13,842	2,582.6 mi	8	—	—	3
2	Michael Burris	43	$6,415	222.6 mi	34	✈ 8	$32,838	4
3	Leona Coonrod	270	$1,477	8.2 mi	8	—	$436	3

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	Kwame Cobb	40	$6,415	268 mi	239.3 mi	34	✈ 8	1	$32,025
2	Hermilo Solano	64	$831	30 mi	19.4 mi	1	—	1	$208
3	Larry Alberty	109	$647	26 mi	8.9 mi	7	—	1	—
4	Jared Rappaport	100	$0	15 mi	0.0 mi	0	—	1	$228