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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
237
Total Travel Cost
$7,573
11,303 miles
Avoidable Cost
$5,319
7,938 excess miles
Optimal Cost
$2,254
If closest tech always used
Avg Excess / WO
33.5 mi
$22.44 per WO
Median Excess
10.1 mi
Outlier Rate (>50mi)
27.4%
65 WOs

Actual Travel Expenses

From 27 WOs with expense data
Total Expenses
$1,367
Labor - Travel
$0
Mileage
$0
Lodging
$574
Airfare
$0
Car Rental
$0
Per Diem
$700
Meals
$0
Other
$93
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 Lab/Power 237 $5,318
100%		 33.5 mi 65 — $1,367 5

By State

States with the highest total avoidable travel cost.

# State WOs Avoidable Cost Impact Avg Excess Flew
1 TX 86 $4,564
79.2 mi —
2 CA 146 $634
6.5 mi —
3 AR 5 $120
35.8 mi —

By City

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

# City State WOs Avoidable Cost Impact Avg Excess Flew
1 Dallas TX 14 $1,002
106.8 mi —
2 Waco TX 7 $756
161.3 mi —
3 Irving TX 8 $551
102.9 mi —
4 Austin TX 11 $505
68.5 mi —
5 Garland TX 6 $387
96.2 mi —
6 San Antonio TX 12 $142
17.6 mi —
7 Smackover AR 4 $120
44.7 mi —
8 Chatsworth CA 4 $101
37.8 mi —
9 Torrance CA 7 $98
21.0 mi —
10 SAN ANTONIO TX 11 $96
13.1 mi —
11 Thousand Oaks CA 65 $87
2.0 mi —
12 Pleasanton CA 9 $0
0.0 mi —
13 Redwood City CA 19 $0
0.0 mi —
14 SOUTH SAN FRANCISCO CA 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 Impact Avg Excess Outliers Flew Actual Expense Techs Used
1 Leona Coonrod 237 $5,318
33.5 mi 65 — $1,367 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 Impact Avg Actual Dist Avg Excess Outliers Flew States Actual Expense
1 Maria Davis 49 $3,359
123 mi 102.3 mi 43 — 2 $939
2 Jose Gutierrez 42 $1,325
55 mi 47.1 mi 19 — 1 $261
3 Hermilo Solano 31 $421
30 mi 20.3 mi 1 — 1 $166
4 Larry Alberty 53 $214
21 mi 6.0 mi 2 — 1 —
5 Jared Rappaport 62 $0
15 mi 0.0 mi 0 — 1 —