Travel & Margin Analysis

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

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WOs Analyzed

1,904

Total Travel Cost

$296,093

441,930 miles

Avoidable Cost

$276,486

412,666 excess miles

Optimal Cost

$19,607

If closest tech always used

Avg Excess / WO

216.7 mi

$145.21 per WO

Median Excess

66.7 mi

Outlier Rate (>50mi)

56.9%

1,083 WOs

Actual Travel Expenses

From 168 WOs with expense data

Total Expenses

$36,715

Labor - Travel

$11,046

Mileage

Lodging

$13,852

Airfare

$2,766

Car Rental

$2,114

Per Diem

$5,425

Meals

Other

$1,512

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	Project	1,904	$276,486	100%	216.7 mi	1,083	✈ 4	$36,715	18

By State

States with the highest total avoidable travel cost.

#	State	WOs	Avoidable Cost	Avg Excess	Flew
1	FL	1,817	$254,826	209.3 mi	—
2	LA	73	$19,556	399.8 mi	✈ 4
3	MA	9	$1,544	256.1 mi	—

By City

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

#	City	State	WOs	Avoidable Cost	Avg Excess	Flew
1	Orlando	FL	1,088	$140,673	193.0 mi	—
2	Kissimmee	FL	98	$41,837	637.2 mi	—
3	Apopka	FL	195	$38,755	296.6 mi	—
4	Altamonte Springs	FL	212	$23,933	168.5 mi	—
5	Jefferson	LA	73	$19,556	399.8 mi	✈ 4
6	Port Charlotte	FL	113	$4,956	65.5 mi	—
7	Minneola	FL	92	$2,215	35.9 mi	—
8	Winter Park	FL	12	$1,534	190.8 mi	—
9	Dade City	FL	4	$668	249.2 mi	—
10	Fall River	MA	6	$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	Ashley Luman	1,110	$157,601	211.9 mi	572	—	$7,093	7
2	Abby Jinerson	129	$27,694	320.4 mi	78	—	$1,687	9
3	Angela Roosa	144	$23,618	244.8 mi	91	—	$1,500	6
4	Jennifer Johnson	69	$18,751	405.6 mi	67	✈ 4	$20,668	4
5	Mandy Newman	128	$15,159	176.8 mi	87	—	$707	6
6	Rebecca Arnold	71	$14,455	303.9 mi	40	—	$415	7
7	Cristina Everetts	98	$11,656	177.5 mi	80	—	$939	6

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	Konstantin Barskiy	285	$176,259	934 mi	923.1 mi	285	—	2	$2,728
2	Luis Iser	275	$35,762	212 mi	194.1 mi	275	—	1	$4,395
3	Raymond Ebanks	240	$25,640	170 mi	159.5 mi	240	—	1	$4,226
4	Yves Dessin	32	$11,651	586 mi	543.4 mi	32	✈ 1	1	$5,180
5	Kenneth Lancara	38	$7,648	343 mi	300.4 mi	38	✈ 2	1	$12,263
6	Ryan Lewis	26	$7,544	439 mi	433.1 mi	26	—	1	$150
7	Horace Barnes	164	$6,729	69 mi	61.2 mi	130	—	1	$475
8	Derick Velazquez	512	$2,568	21 mi	7.5 mi	52	—	1	$1,225
9	Robert Lewis	315	$437	9 mi	2.1 mi	0	—	1	$118
10	Luis Torres	6	$0	86 mi	0.0 mi	0	—	1	$172