Travel & Margin Analysis

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

Tech Placement Detail →

WOs Analyzed

313

Total Travel Cost

$72,416

108,084 miles

Avoidable Cost

$53,159

79,341 excess miles

Optimal Cost

$19,258

If closest tech always used

Avg Excess / WO

253.5 mi

$169.84 per WO

Median Excess

140.8 mi

Outlier Rate (>50mi)

62%

194 WOs

Actual Travel Expenses

From 160 WOs with expense data

Total Expenses

$92,289

Labor - Travel

$52,160

Mileage

$210

Lodging

$6,729

Airfare

$4,807

Car Rental

$1,973

Per Diem

$2,750

Meals

Other

$23,659

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	Kiosk	119	$23,672	44.9%	296.9 mi	79	—	$22,771	12
2	Healthcare Provider	124	$17,336	32.9%	208.7 mi	79	✈ 1	$46,806	10
3	EMS	34	$7,947	15.1%	348.8 mi	21	✈ 1	$6,608	7
4	Lab/Power	6	$1,877	3.6%	466.8 mi	4	✈ 1	$2,937	5
5	FCO	7	$1,560	3%	332.6 mi	7	✈ 1	$10,552	3
6	Animal Health	3	$284	0.5%	141.2 mi	2	—	$765	3
7	Bed Services	15	$82	0.2%	8.2 mi	0	—	$18	1
8	Training/Other	3	$0	0%	0.0 mi	0	—	—	1

By State

States with the highest total avoidable travel cost.

#	State	WOs	Avoidable Cost	Impact	Avg Excess	Flew
1	IL	313	$53,158		253.5 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	Chicago	IL	61	$8,660	211.9 mi	—
2	Joliet	IL	4	$1,747	652.0 mi	—
3	SOUTH HOLLAND	IL	4	$1,161	433.3 mi	—
4	CHICAGO	IL	4	$1,045	389.7 mi	—
5	Glen Ellyn	IL	3	$948	471.6 mi	—
6	Kankakee	IL	3	$907	451.2 mi	—
7	Mossville	IL	5	$894	267.0 mi	—
8	Naperville	IL	7	$830	177.0 mi	—
9	Aurora	IL	4	$637	237.7 mi	—
10	Peoria	IL	4	$604	225.5 mi	—
11	Morton	IL	3	$570	283.2 mi	—
12	Maywood	IL	3	$560	278.7 mi	—
13	Marion	IL	4	$288	107.4 mi	✈ 2
14	Schaumburg	IL	3	$188	93.8 mi	—
15	La Grange Park	IL	3	$183	91.1 mi	—
16	Nashville	IL	9	$86	14.2 mi	—
17	Elk Grove Village	IL	9	$43	7.1 mi	—
18	Springfield	IL	27	$31	1.7 mi	—
19	Collinsville	IL	3	$23	11.7 mi	—
20	Godfrey	IL	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	Charles Ramen	140	$24,407	260.2 mi	107	✈ 3	$45,546	15
2	Kaitlyn Kelch	81	$8,847	163.0 mi	12	—	$11,270	5
3	Rhea Berry	42	$8,725	310.1 mi	41	—	$1,914	5
4	Abby Jinerson	5	$1,030	307.6 mi	5	—	$315	1
5	Nicole Floyd	5	$873	260.6 mi	5	—	—	1

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	Andrew Przybyla	20	$17,824	1,422 mi	1,330.1 mi	20	—	1	$4,272
2	Mike Huffman	76	$10,895	313 mi	214.0 mi	76	—	1	$14,463
3	Chris Galasso	11	$3,428	680 mi	465.1 mi	11	—	1	$478
4	Franco Jackson	17	$1,472	251 mi	129.2 mi	17	—	1	$2,278
5	Nicole Floyd	8	$1,382	262 mi	257.8 mi	8	—	1	—
6	Ronnie Salone	6	$1,253	336 mi	311.7 mi	6	—	1	$1,656
7	Vincent Nyathi	18	$1,100	156 mi	91.2 mi	11	—	1	$6,609
8	Dustin Antolin	6	$1,030	389 mi	256.4 mi	5	✈ 1	1	$1,461
9	Jon Kuehl	28	$1,016	141 mi	54.2 mi	12	—	1	$8,831
10	Blake Ward	28	$346	90 mi	18.4 mi	0	—	1	$6,314
11	Kevin Cox	49	$157	96 mi	4.8 mi	1	—	1	$3,083
12	Bennet O Dartey	15	$82	25 mi	8.2 mi	0	—	1	$18