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 | FCO | 504 | $75,589 | 100% | 223.8 mi | 208 | ✈ 2 | $25,417 | 40 |
States with the highest total avoidable travel cost.
| # | State | WOs | Avoidable Cost | Impact | Avg Excess | Flew |
|---|---|---|---|---|---|---|
| 1 | TX | 84 | $50,871 | 903.9 mi | — | |
| 2 | FL | 23 | $6,612 | 429.1 mi | ✈ 1 | |
| 3 | KS | 12 | $3,373 | 419.5 mi | ✈ 1 | |
| 4 | MA | 9 | $1,987 | 329.6 mi | — | |
| 5 | OK | 6 | $1,589 | 395.1 mi | — | |
| 6 | TN | 32 | $1,536 | 71.6 mi | — | |
| 7 | PA | 39 | $1,401 | 53.6 mi | — | |
| 8 | SC | 6 | $948 | 235.9 mi | — | |
| 9 | VA | 30 | $947 | 47.1 mi | — | |
| 10 | MD | 29 | $943 | 48.6 mi | — | |
| 11 | WV | 11 | $761 | 103.3 mi | — | |
| 12 | NY | 56 | $608 | 16.2 mi | — | |
| 13 | CT | 14 | $578 | 61.6 mi | — | |
| 14 | NJ | 50 | $575 | 17.2 mi | — | |
| 15 | AL | 6 | $574 | 142.7 mi | — | |
| 16 | NC | 7 | $546 | 116.5 mi | — | |
| 17 | MI | 4 | $415 | 154.9 mi | — | |
| 18 | DC | 9 | $372 | 61.6 mi | — | |
| 19 | GA | 7 | $350 | 74.7 mi | — | |
| 20 | DE | 5 | $210 | 62.7 mi | — |
Top cities by total avoidable cost. These are your biggest geographic hotspots.
| # | City | State | WOs | Avoidable Cost | Impact | Avg Excess | Flew |
|---|---|---|---|---|---|---|---|
| 1 | DALLAS | TX | 21 | $15,556 | 1,105.6 mi | — | |
| 2 | AUSTIN | TX | 16 | $14,589 | 1,360.9 mi | — | |
| 3 | LUBBOCK | TX | 17 | $11,453 | 1,005.6 mi | — | |
| 4 | ROUND ROCK | TX | 5 | $4,516 | 1,348.0 mi | — | |
| 5 | NAPLES | FL | 5 | $2,768 | 826.1 mi | — | |
| 6 | IRVING | TX | 3 | $2,041 | 1,015.5 mi | — | |
| 7 | LAWRENCE | KS | 3 | $1,664 | 827.5 mi | — | |
| 8 | WORCESTER | MA | 3 | $1,354 | 673.6 mi | — | |
| 9 | Florence | SC | 3 | $948 | 471.8 mi | — | |
| 10 | Erie | PA | 7 | $928 | 197.8 mi | — | |
| 11 | Overland Park | KS | 3 | $830 | 412.9 mi | ✈ 1 | |
| 12 | Charleston | WV | 8 | $631 | 117.8 mi | — | |
| 13 | Baltimore | MD | 10 | $544 | 81.2 mi | — | |
| 14 | Middletown | CT | 8 | $468 | 87.4 mi | — | |
| 15 | RICHMOND | VA | 14 | $407 | 43.3 mi | — | |
| 16 | Washington | DC | 5 | $351 | 104.7 mi | — | |
| 17 | MURFREESBORO | TN | 5 | $308 | 91.9 mi | — | |
| 18 | NASHVILLE | TN | 7 | $293 | 62.6 mi | — | |
| 19 | BALTIMORE | MD | 9 | $269 | 44.6 mi | — | |
| 20 | Media | PA | 5 | $245 | 73.1 mi | — | |
| 21 | Kansas City | KS | 3 | $232 | 115.3 mi | — | |
| 22 | CHATTANOOGA | TN | 4 | $218 | 81.4 mi | — | |
| 23 | Wilmington | DE | 4 | $187 | 69.9 mi | — | |
| 24 | PITTSBURGH | PA | 10 | $128 | 19.1 mi | — | |
| 25 | Allendale | NJ | 8 | $109 | 20.4 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 | Megan Klose | 41 | $14,818 | 539.4 mi | 25 | — | — | 6 | |
| 2 | Laura Hill | 33 | $13,352 | 603.9 mi | 21 | — | — | 5 | |
| 3 | Ashley Luman | 19 | $5,276 | 414.5 mi | 15 | — | — | 4 | |
| 4 | Mandy Newman | 32 | $3,962 | 184.8 mi | 16 | ✈ 1 | $4,182 | 9 | |
| 5 | Fady Messak | 8 | $3,887 | 725.3 mi | 6 | — | — | 3 | |
| 6 | Rich Fosbury | 9 | $531 | 88.1 mi | 8 | — | $528 | 4 | |
| 7 | Erin Martin | 14 | $429 | 45.8 mi | 2 | — | $1,748 | 5 | |
| 8 | Cristina Everetts | 10 | $330 | 49.3 mi | 4 | — | — | 3 | |
| 9 | Rebecca Arnold | 8 | $172 | 32.1 mi | 0 | — | — | 4 | |
| 10 | Brandi Rodriguez | 6 | $0 | 0.0 mi | 0 | — | — | 1 |
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 | Philmon Mehari | 23 | $20,087 | 1,434 mi | 1,303.5 mi | 23 | — | 2 | $465 | |
| 2 | Eric Mancerella | 32 | $14,970 | 856 mi | 698.2 mi | 22 | — | 2 | — | |
| 3 | Davon Cox | 20 | $14,447 | 1,115 mi | 1,078.1 mi | 18 | — | 3 | — | |
| 4 | Fady Messak | 37 | $7,332 | 379 mi | 295.8 mi | 28 | ✈ 1 | 12 | $3,242 | |
| 5 | Konstantin Barskiy | 7 | $4,552 | 1,040 mi | 970.6 mi | 7 | — | 1 | — | |
| 6 | Jared Heisler | 11 | $2,500 | 406 mi | 339.2 mi | 9 | — | 3 | — | |
| 7 | Bennet O Dartey | 12 | $2,157 | 439 mi | 268.3 mi | 12 | ✈ 1 | 3 | $5,588 | |
| 8 | Fady Khouzam | 9 | $1,975 | 377 mi | 327.6 mi | 6 | — | 5 | $1,407 | |
| 9 | Ryan Lewis | 27 | $1,254 | 206 mi | 69.3 mi | 17 | — | 2 | $2,836 | |
| 10 | Allan Klus | 25 | $830 | 76 mi | 49.5 mi | 16 | — | 3 | $1,942 | |
| 11 | Joseph Nuovo | 26 | $786 | 165 mi | 45.1 mi | 2 | — | 6 | — | |
| 12 | Rick Charles | 14 | $588 | 90 mi | 62.7 mi | 10 | — | 5 | $3,207 | |
| 13 | Darrell Hendrix | 9 | $545 | 120 mi | 90.4 mi | 5 | — | 2 | — | |
| 14 | Michael Steencken | 11 | $474 | 89 mi | 64.2 mi | 6 | — | 4 | — | |
| 15 | Patricia Gordon | 13 | $395 | 152 mi | 45.3 mi | 6 | — | 3 | $414 | |
| 16 | Jackson Reeves | 15 | $354 | 145 mi | 35.2 mi | 3 | — | 4 | $220 | |
| 17 | Alberto Galan | 16 | $314 | 52 mi | 29.3 mi | 5 | — | 2 | — | |
| 18 | Raymond Ebanks | 5 | $212 | 95 mi | 63.4 mi | 2 | — | 1 | — | |
| 19 | Bryan Rodriguez | 11 | $210 | 137 mi | 28.4 mi | 0 | — | 3 | — | |
| 20 | Jeffrey Coles | 13 | $194 | 76 mi | 22.3 mi | 1 | — | 4 | — |