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Travel & Margin Analysis

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

Tech Placement Detail →
WOs Analyzed
224
Total Travel Cost
$11,467
17,115 miles
Avoidable Cost
$5,222
7,794 excess miles
Optimal Cost
$6,245
If closest tech always used
Avg Excess / WO
34.8 mi
$23.31 per WO
Median Excess
0.0 mi
Outlier Rate (>50mi)
10.3%
23 WOs

Actual Travel Expenses

From 47 WOs with expense data
Total Expenses
$27,856
Labor - Travel
$8,233
Mileage
$642
Lodging
$8,961
Airfare
$3,124
Car Rental
$2,616
Per Diem
$1,775
Meals
$0
Other
$2,505
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 10 $2,501
47.9%		 373.3 mi 10 ✈ 2 $10,644 2
2 Bed Services 134 $2,207
42.3%		 24.6 mi 6 ✈ 2 $10,465 3
3 Healthcare Provider 18 $289
5.5%		 24.0 mi 3 — $3,673 3
4 EMS 18 $209
4%		 17.3 mi 4 — $1,178 2
5 Kiosk 35 $15
0.3%		 0.7 mi 0 — $1,896 1
6 FCO 8 $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 LA 224 $5,222
34.8 mi ✈ 4

By City

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

# City State WOs Avoidable Cost Impact Avg Excess Flew
1 Jefferson LA 10 $2,501
373.3 mi ✈ 2
2 Harahan LA 4 $816
304.6 mi ✈ 1
3 Shreveport LA 126 $172
2.0 mi —
4 Winnsboro LA 3 $168
83.2 mi —
5 Slidell LA 5 $46
13.8 mi —
6 Hammond LA 4 $29
11.0 mi —
7 BATON ROUGE LA 8 $0
0.0 mi —
8 Baton Rouge LA 6 $0
0.0 mi —
9 Covington LA 5 $0
0.0 mi —
10 Gretna LA 9 $0
0.0 mi —
11 Houma LA 5 $0
0.0 mi —
12 Lafayette LA 9 $0
0.0 mi —
13 Monroe LA 9 $0
0.0 mi —
14 New Orleans LA 4 $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 Impact Avg Excess Outliers Flew Actual Expense Techs Used
1 Jennifer Johnson 9 $2,308
382.8 mi 9 ✈ 2 $10,596 2
2 Laura Hill 6 $1,428
355.3 mi 3 ✈ 1 $7,486 4
3 Abby Jinerson 154 $1,302
12.6 mi 8 ✈ 1 $7,824 4
4 Kaitlyn Kelch 9 $168
27.7 mi 3 — $1,391 1
5 Rhea Berry 12 $0
0.0 mi 0 — $241 1
6 Stephanie Ramen 13 $0
0.0 mi 0 — — 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 Impact Avg Actual Dist Avg Excess Outliers Flew States Actual Expense
1 Kenneth Lancara 11 $2,225
344 mi 301.9 mi 11 ✈ 2 1 $9,866
2 Jason Cunningham 61 $267
60 mi 6.5 mi 2 — 1 $5,356
3 Christopher Womack 10 $209
193 mi 31.2 mi 4 — 1 $1,391
4 Daniel Clark 128 $0
13 mi 0.0 mi 0 — 1 $155
5 Marvin Rivas 8 $0
269 mi 0.0 mi 0 — 1 —