Travel & Margin Analysis

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

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WOs Analyzed

Total Travel Cost

$15,942

23,794 miles

Avoidable Cost

$15,267

22,787 excess miles

Optimal Cost

$674

If closest tech always used

Avg Excess / WO

529.9 mi

$355.06 per WO

Median Excess

579.0 mi

Outlier Rate (>50mi)

72.1%

31 WOs

Actual Travel Expenses

From 19 WOs with expense data

Total Expenses

$10,086

Labor - Travel

$1,608

Mileage

Lodging

$2,112

Airfare

$2,743

Car Rental

$1,298

Per Diem

$1,000

Meals

Other

$1,325

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	Healthcare Provider	20	$7,487	52.6%	558.7 mi	18	✈ 3	$5,731	3
2	Kiosk	19	$6,748	47.4%	530.1 mi	11	—	$376	3

By State

States with the highest total avoidable travel cost.

#	State	WOs	Avoidable Cost	Impact	Avg Excess	Flew
1	CO	43	$15,267		529.9 mi	✈ 5

By City

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

#	City	State	WOs	Avoidable Cost	Avg Excess	Flew
1	Colorado Springs	CO	5	$2,082	621.5 mi	—
2	Denver	CO	7	$1,831	390.4 mi	—
3	Aurora	CO	3	$1,428	710.3 mi	✈ 1
4	Littleton	CO	5	$1,160	346.4 mi	✈ 1

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	43	$15,267		529.9 mi	31	✈ 5	$10,086	5

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	Jason Morris	12	$7,705	1,001 mi	958.3 mi	12	✈ 1	1	$1,776
2	Andrew Przybyla	18	$6,916	581 mi	573.5 mi	18	✈ 3	1	$5,857
3	Ben Heinz	10	$0	35 mi	0.0 mi	0	—	1	$205