Quantify excess travel cost and identify optimization opportunities across your field service operation
Ranked by total avoidable cost across five dimensions. Focus on the top items in each category for the highest ROI improvements.
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 | 1,129 | $74,408 | 100% | 98.4 mi | 237 | ✈ 18 | $47,540 | 26 |
States with the highest total avoidable travel cost.
| # | State | WOs | Avoidable Cost | Impact | Avg Excess | Flew |
|---|---|---|---|---|---|---|
| 1 | NM | 71 | $16,974 | 356.8 mi | — | |
| 2 | TX | 108 | $13,769 | 190.3 mi | — | |
| 3 | CA | 172 | $10,964 | 95.1 mi | ✈ 4 | |
| 4 | CO | 8 | $7,623 | 1,422.2 mi | ✈ 1 | |
| 5 | MI | 10 | $4,101 | 612.1 mi | — | |
| 6 | PA | 13 | $3,060 | 351.3 mi | ✈ 3 | |
| 7 | MA | 658 | $2,302 | 5.2 mi | — | |
| 8 | WA | 3 | $1,962 | 976.1 mi | ✈ 2 | |
| 9 | AL | 4 | $1,954 | 729.1 mi | ✈ 1 | |
| 10 | IL | 5 | $1,307 | 390.1 mi | ✈ 1 | |
| 11 | NY | 6 | $1,136 | 282.7 mi | — | |
| 12 | DE | 16 | $987 | 92.0 mi | ✈ 1 | |
| 13 | MN | 3 | $728 | 362.3 mi | — | |
| 14 | GA | 4 | $642 | 239.4 mi | ✈ 1 | |
| 15 | SC | 5 | $503 | 150.2 mi | — | |
| 16 | OH | 3 | $336 | 167.4 mi | — | |
| 17 | AR | 5 | $120 | 35.8 mi | — | |
| 18 | NH | 4 | $115 | 43.0 mi | — | |
| 19 | UT | 14 | $0 | 0.0 mi | — |
Top cities by total avoidable cost. These are your biggest geographic hotspots.
| # | City | State | WOs | Avoidable Cost | Impact | Avg Excess | Flew |
|---|---|---|---|---|---|---|---|
| 1 | Albuquerque | NM | 71 | $16,974 | 356.8 mi | — | |
| 2 | Houston | TX | 14 | $7,038 | 750.3 mi | — | |
| 3 | Adrian | MI | 10 | $4,101 | 612.1 mi | — | |
| 4 | LEESPORT | PA | 10 | $2,906 | 433.8 mi | ✈ 2 | |
| 5 | Golden | CO | 3 | $2,348 | 1,167.9 mi | — | |
| 6 | Billerica | MA | 635 | $1,951 | 4.6 mi | — | |
| 7 | Redwood City | CA | 28 | $1,581 | 84.3 mi | ✈ 1 | |
| 8 | Burnet | TX | 3 | $1,141 | 567.5 mi | — | |
| 9 | Dallas | TX | 15 | $1,074 | 106.8 mi | — | |
| 10 | Wilmington | DE | 6 | $987 | 245.4 mi | — | |
| 11 | REDWOOD CITY | CA | 5 | $791 | 236.0 mi | — | |
| 12 | Waco | TX | 7 | $756 | 161.3 mi | — | |
| 13 | Irving | TX | 9 | $620 | 102.9 mi | — | |
| 14 | Austin | TX | 11 | $505 | 68.5 mi | — | |
| 15 | Garland | TX | 6 | $387 | 96.2 mi | — | |
| 16 | East Taunton | MA | 11 | $251 | 34.1 mi | — | |
| 17 | Pleasanton | CA | 10 | $198 | 29.5 mi | — | |
| 18 | San Antonio | TX | 12 | $142 | 17.6 mi | — | |
| 19 | Smackover | AR | 4 | $120 | 44.7 mi | — | |
| 20 | Chatsworth | CA | 4 | $101 | 37.8 mi | — | |
| 21 | Torrance | CA | 7 | $98 | 21.0 mi | — | |
| 22 | SAN ANTONIO | TX | 11 | $96 | 13.1 mi | — | |
| 23 | Thousand Oaks | CA | 66 | $87 | 2.0 mi | — | |
| 24 | Hanover | MA | 3 | $46 | 22.7 mi | — | |
| 25 | Beverly | MA | 6 | $36 | 9.0 mi | — |
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 | Kim Pearson | 513 | $29,468 | 85.7 mi | 36 | — | — | 5 | |
| 2 | Kaitlyn Kelch | 81 | $17,996 | 331.6 mi | 75 | ✈ 2 | $2,871 | 5 | |
| 3 | Chris Bakkemo | 12 | $6,910 | 859.5 mi | 12 | — | — | 1 | |
| 4 | Tami Dawe | 163 | $5,885 | 53.9 mi | 13 | — | $55 | 1 | |
| 5 | Leona Coonrod | 237 | $5,318 | 33.5 mi | 65 | — | $1,367 | 5 | |
| 6 | Michael Burris | 39 | $4,226 | 161.7 mi | 23 | ✈ 8 | $27,064 | 4 | |
| 7 | Melissa Owens | 18 | $2,906 | 241.0 mi | 10 | ✈ 4 | $5,965 | 3 | |
| 8 | Kourtney Smith | 9 | $7 | 1.1 mi | 0 | — | — | 1 | |
| 9 | Charles Ramen | 9 | $0 | 0.0 mi | 0 | ✈ 3 | $5,146 | 3 |
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 | Ben Heinz | 72 | $16,974 | 358 mi | 351.9 mi | 71 | — | 2 | — | |
| 2 | Minh Huynh | 24 | $15,862 | 1,007 mi | 986.5 mi | 22 | — | 16 | — | |
| 3 | Shawn Kelley | 12 | $11,662 | 1,493 mi | 1,450.5 mi | 12 | — | 8 | — | |
| 4 | VPD Bench | 634 | $7,229 | 18 mi | 17.0 mi | 13 | — | 5 | $55 | |
| 5 | Chris Bakkemo | 12 | $6,910 | 867 mi | 859.5 mi | 12 | — | 1 | — | |
| 6 | Kwame Cobb | 24 | $4,226 | 391 mi | 262.8 mi | 23 | ✈ 8 | 4 | $27,064 | |
| 7 | Maria Davis | 51 | $3,499 | 123 mi | 102.4 mi | 45 | — | 2 | $939 | |
| 8 | Rozier Cole | 18 | $2,915 | 348 mi | 241.7 mi | 10 | ✈ 3 | 5 | $5,560 | |
| 9 | Jose Gutierrez | 43 | $2,312 | 88 mi | 80.2 mi | 20 | — | 2 | $1,164 | |
| 10 | Curtis Sprague | 7 | $1,131 | 454 mi | 241.1 mi | 3 | ✈ 2 | 4 | $3,562 | |
| 11 | Hermilo Solano | 31 | $421 | 30 mi | 20.3 mi | 1 | — | 1 | $166 | |
| 12 | Ronnie Salone | 6 | $220 | 545 mi | 54.9 mi | 1 | ✈ 3 | 5 | $4,883 | |
| 13 | Larry Alberty | 54 | $214 | 21 mi | 5.9 mi | 2 | — | 1 | — | |
| 14 | Mike McNamara | 14 | $190 | 20 mi | 20.3 mi | 0 | — | 1 | — | |
| 15 | Steven Bionelli | 13 | $34 | 4 mi | 3.9 mi | 0 | — | 1 | — | |
| 16 | Pete Ramos | 9 | $7 | 85 mi | 1.1 mi | 0 | — | 2 | — | |
| 17 | Dustin Antolin | 6 | $0 | 245 mi | 0.0 mi | 0 | ✈ 2 | 4 | $3,908 | |
| 18 | Jared Rappaport | 63 | $0 | 15 mi | 0.0 mi | 0 | — | 1 | — | |
| 19 | Jermaine Hernandez | 7 | $0 | 0 mi | 0.0 mi | 0 | — | 1 | — | |
| 20 | Judith Alvarez | 6 | $0 | 3 mi | 0.0 mi | 0 | — | 1 | — |