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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
185
Total Travel Cost
$26,860
40,089 miles
Avoidable Cost
$18,558
27,698 excess miles
Optimal Cost
$8,302
If closest tech always used
Avg Excess / WO
149.7 mi
$100.31 per WO
Median Excess
13.9 mi
Outlier Rate (>50mi)
28.1%
52 WOs

Actual Travel Expenses

From 108 WOs with expense data
Total Expenses
$54,091
Labor - Travel
$40,288
Mileage
$963
Lodging
$3,823
Airfare
$3,443
Car Rental
$1,813
Per Diem
$1,450
Meals
$0
Other
$2,312
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 FCO 30 $14,333
79.1%		 713.1 mi 30 ✈ 4 $24,104 8
2 Healthcare Provider 100 $1,773
9.8%		 26.5 mi 13 — $22,697 3
3 EMS 29 $1,761
9.7%		 90.6 mi 6 — $2,747 4
4 Animal Health 4 $164
0.9%		 61.2 mi 1 — $1,732 2
5 Kiosk 18 $80
0.4%		 6.7 mi 0 — $382 3

By State

States with the highest total avoidable travel cost.

# State WOs Avoidable Cost Impact Avg Excess Flew
1 MO 185 $18,558
149.7 mi ✈ 5

By City

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

# City State WOs Avoidable Cost Impact Avg Excess Flew
1 SPRINGFIELD MO 9 $4,258
706.2 mi —
2 Poplar Bluff MO 11 $2,701
366.5 mi ✈ 2
3 KANSAS CITY MO 8 $2,108
393.4 mi —
4 Wildwood MO 4 $1,503
560.9 mi ✈ 1
5 Kansas City MO 12 $502
62.4 mi —
6 St. Louis MO 11 $429
58.1 mi —
7 Saint Joseph MO 3 $354
176.0 mi ✈ 1
8 Lees Summit MO 4 $111
41.2 mi —
9 Saint Louis MO 15 $92
9.2 mi —
10 SEDALIA MO 3 $77
38.2 mi —
11 HOUSTON MO 6 $66
16.6 mi —
12 St Louis MO 7 $42
9.0 mi —
13 Columbia MO 4 $25
9.3 mi —
14 Ellisville MO 4 $20
7.5 mi —
15 Independence MO 5 $0
0.0 mi —
16 KEARNEY MO 3 $0
0.0 mi —
17 Festus MO 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 Mandy Newman 17 $9,456
830.2 mi 17 — $25 4
2 Kaitlyn Kelch 135 $1,948
21.5 mi 12 ✈ 1 $24,337 4
3 Laura Hill 7 $259
55.3 mi 2 — $2,592 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 Impact Avg Actual Dist Avg Excess Outliers Flew States Actual Expense
1 Andre Samuda 8 $4,364
1,081 mi 814.3 mi 8 — 1 $25
2 Derick Velazquez 6 $2,429
775 mi 604.1 mi 6 ✈ 2 1 $13,603
3 Blake Ward 56 $1,615
75 mi 43.0 mi 10 — 1 $17,285
4 Natosha Beierschmitt 5 $1,545
495 mi 461.1 mi 5 — 1 —
5 Kevin Cox 53 $454
50 mi 12.8 mi 4 — 1 $6,631
6 Thomas J Langenberg Jr 39 $166
39 mi 6.3 mi 1 — 1 $3,676