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 | 318 | $76,470 | 100% | 358.9 mi | 214 | ✈ 12 | $93,363 | 37 |
States with the highest total avoidable travel cost.
| # | State | WOs | Avoidable Cost | Impact | Avg Excess | Flew |
|---|---|---|---|---|---|---|
| 1 | FL | 83 | $24,013 | 431.8 mi | ✈ 6 | |
| 2 | MO | 17 | $9,456 | 830.2 mi | — | |
| 3 | TN | 22 | $5,853 | 397.1 mi | — | |
| 4 | GA | 19 | $5,264 | 413.5 mi | ✈ 1 | |
| 5 | MS | 8 | $5,069 | 945.8 mi | — | |
| 6 | TX | 4 | $3,017 | 1,125.8 mi | — | |
| 7 | OH | 11 | $2,704 | 366.9 mi | ✈ 3 | |
| 8 | AL | 5 | $2,631 | 785.5 mi | — | |
| 9 | KS | 4 | $2,405 | 897.5 mi | — | |
| 10 | NC | 10 | $1,736 | 259.1 mi | — | |
| 11 | PA | 32 | $1,711 | 79.8 mi | — | |
| 12 | NV | 3 | $1,268 | 631.2 mi | — | |
| 13 | VA | 8 | $1,172 | 218.6 mi | — | |
| 14 | NY | 31 | $1,084 | 52.2 mi | ✈ 1 | |
| 15 | KY | 4 | $872 | 325.6 mi | ✈ 1 | |
| 16 | NJ | 8 | $659 | 122.8 mi | — | |
| 17 | MA | 9 | $498 | 82.6 mi | — | |
| 18 | CT | 12 | $311 | 38.7 mi | — | |
| 19 | NH | 3 | $250 | 124.4 mi | — | |
| 20 | MD | 6 | $178 | 44.3 mi | — |
Top cities by total avoidable cost. These are your biggest geographic hotspots.
| # | City | State | WOs | Avoidable Cost | Impact | Avg Excess | Flew |
|---|---|---|---|---|---|---|---|
| 1 | Orlando | FL | 26 | $9,040 | 518.9 mi | ✈ 3 | |
| 2 | SPRINGFIELD | MO | 8 | $4,246 | 792.3 mi | — | |
| 3 | Nashville | TN | 17 | $3,818 | 335.2 mi | — | |
| 4 | JACKSONVILLE | FL | 12 | $2,225 | 276.7 mi | — | |
| 5 | Lakeland | FL | 4 | $1,876 | 700.1 mi | — | |
| 6 | KANSAS CITY | MO | 3 | $1,861 | 925.8 mi | — | |
| 7 | LAWRENCE | KS | 3 | $1,664 | 827.5 mi | — | |
| 8 | Cleveland | OH | 4 | $1,529 | 570.6 mi | ✈ 3 | |
| 9 | WAYCROSS | GA | 3 | $1,419 | 706.1 mi | — | |
| 10 | BRUNSWICK | GA | 3 | $1,349 | 671.2 mi | — | |
| 11 | CHATTANOOGA | TN | 3 | $1,299 | 646.3 mi | — | |
| 12 | Reno | NV | 3 | $1,268 | 631.2 mi | — | |
| 13 | Erie | PA | 12 | $1,096 | 136.3 mi | — | |
| 14 | Raleigh | NC | 7 | $1,058 | 225.6 mi | — | |
| 15 | Jacksonville | FL | 3 | $860 | 428.0 mi | — | |
| 16 | Allendale | NJ | 4 | $641 | 239.0 mi | — | |
| 17 | Brandon | FL | 4 | $467 | 174.3 mi | ✈ 1 | |
| 18 | Lebanon | NH | 3 | $250 | 124.4 mi | — | |
| 19 | West Haven | CT | 4 | $120 | 44.8 mi | — | |
| 20 | New York | NY | 10 | $117 | 17.4 mi | — | |
| 21 | Middletown | CT | 3 | $113 | 56.3 mi | — | |
| 22 | PITTSBURGH | PA | 7 | $90 | 19.1 mi | — | |
| 23 | Flushing | NY | 3 | $81 | 40.2 mi | — | |
| 24 | Philadelphia | PA | 3 | $58 | 29.1 mi | — | |
| 25 | Brooklyn | NY | 6 | $27 | 6.7 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 | Mandy Newman | 318 | $76,470 | 358.9 mi | 214 | ✈ 12 | $93,363 | 37 |
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 | Fady Messak | 80 | $18,324 | 433 mi | 341.9 mi | 62 | ✈ 3 | 18 | $11,886 | |
| 2 | Andre Samuda | 19 | $9,473 | 916 mi | 744.1 mi | 19 | — | 5 | $25 | |
| 3 | Konstantin Barskiy | 14 | $8,323 | 948 mi | 887.3 mi | 14 | ✈ 1 | 3 | $10,140 | |
| 4 | April Nuovo | 13 | $7,264 | 1,002 mi | 834.0 mi | 11 | — | 5 | $5 | |
| 5 | Luis Iser | 27 | $4,673 | 323 mi | 258.3 mi | 17 | ✈ 1 | 3 | $9,076 | |
| 6 | Vivian Hyde | 10 | $4,477 | 733 mi | 668.2 mi | 9 | — | 4 | $29 | |
| 7 | Patricia Gordon | 20 | $3,958 | 320 mi | 295.4 mi | 19 | — | 3 | $1,641 | |
| 8 | Davon Cox | 9 | $3,462 | 735 mi | 574.1 mi | 7 | — | 5 | — | |
| 9 | Israel Martell | 7 | $2,407 | 611 mi | 513.1 mi | 6 | — | 6 | $543 | |
| 10 | Raymond Ebanks | 21 | $2,206 | 196 mi | 156.7 mi | 18 | — | 2 | $8,417 | |
| 11 | Nkosi Wilson | 8 | $1,576 | 410 mi | 294.0 mi | 3 | — | 4 | $7,551 | |
| 12 | Joseph Nuovo | 10 | $1,340 | 289 mi | 200.0 mi | 2 | — | 4 | $657 | |
| 13 | Carlos Puebla | 5 | $1,167 | 962 mi | 348.5 mi | 2 | — | 3 | $975 | |
| 14 | Fady Khouzam | 9 | $186 | 58 mi | 30.8 mi | 2 | — | 3 | $5,323 | |
| 15 | Alberto Galan | 8 | $159 | 36 mi | 29.8 mi | 2 | — | 3 | $3,358 | |
| 16 | Eric Mancerella | 8 | $155 | 51 mi | 28.8 mi | 1 | — | 2 | $18 | |
| 17 | Fanfan Siku | 7 | $36 | 77 mi | 7.6 mi | 1 | — | 1 | $4,240 |