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 | EMS | 1,922 | $107,715 | 100% | 83.6 mi | 317 | ✈ 13 | $284,673 | 43 |
States with the highest total avoidable travel cost.
| # | State | WOs | Avoidable Cost | Impact | Avg Excess | Flew |
|---|---|---|---|---|---|---|
| 1 | OH | 397 | $25,707 | 96.6 mi | — | |
| 2 | NJ | 240 | $13,503 | 84.0 mi | — | |
| 3 | MA | 120 | $12,302 | 153.0 mi | — | |
| 4 | IL | 34 | $7,947 | 348.8 mi | ✈ 1 | |
| 5 | NY | 144 | $6,702 | 69.5 mi | — | |
| 6 | TX | 121 | $4,034 | 49.8 mi | — | |
| 7 | VA | 49 | $3,546 | 108.0 mi | — | |
| 8 | WV | 34 | $3,520 | 154.5 mi | — | |
| 9 | PA | 103 | $3,332 | 48.3 mi | — | |
| 10 | WI | 5 | $2,992 | 893.3 mi | ✈ 1 | |
| 11 | AR | 12 | $2,874 | 357.5 mi | ✈ 1 | |
| 12 | FL | 131 | $2,787 | 31.7 mi | — | |
| 13 | KY | 78 | $2,766 | 52.9 mi | — | |
| 14 | NC | 77 | $2,152 | 41.7 mi | — | |
| 15 | RI | 19 | $2,019 | 158.6 mi | — | |
| 16 | CA | 82 | $2,000 | 36.4 mi | ✈ 2 | |
| 17 | NH | 21 | $1,963 | 139.5 mi | — | |
| 18 | MO | 29 | $1,761 | 90.6 mi | — | |
| 19 | IA | 9 | $1,306 | 216.5 mi | — | |
| 20 | CT | 5 | $926 | 276.4 mi | — |
Top cities by total avoidable cost. These are your biggest geographic hotspots.
| # | City | State | WOs | Avoidable Cost | Impact | Avg Excess | Flew |
|---|---|---|---|---|---|---|---|
| 1 | Brunswick | OH | 6 | $3,961 | 985.4 mi | — | |
| 2 | Brockton | MA | 4 | $2,202 | 821.7 mi | — | |
| 3 | Fort Washington | PA | 6 | $1,885 | 468.9 mi | — | |
| 4 | Chestnut Ridge | NY | 4 | $1,828 | 682.1 mi | — | |
| 5 | Elyria | OH | 7 | $1,491 | 317.9 mi | — | |
| 6 | Elkins | WV | 3 | $1,321 | 657.2 mi | — | |
| 7 | Milan | OH | 5 | $1,319 | 393.9 mi | — | |
| 8 | Virginia Beach | VA | 13 | $1,274 | 146.3 mi | — | |
| 9 | Brinkley | AR | 6 | $1,235 | 307.2 mi | — | |
| 10 | Laredo | TX | 11 | $1,169 | 158.7 mi | — | |
| 11 | SOUTH HOLLAND | IL | 4 | $1,161 | 433.3 mi | — | |
| 12 | Holliston | MA | 4 | $1,097 | 409.5 mi | — | |
| 13 | Wilmington | OH | 5 | $1,006 | 300.3 mi | — | |
| 14 | Boston | MA | 18 | $1,002 | 83.0 mi | — | |
| 15 | Rochester | NH | 3 | $976 | 485.3 mi | — | |
| 16 | Longmeadow | MA | 5 | $955 | 285.3 mi | — | |
| 17 | Parsippany | NJ | 4 | $948 | 353.8 mi | — | |
| 18 | Glen Ellyn | IL | 3 | $948 | 471.6 mi | — | |
| 19 | Berryville | AR | 3 | $936 | 465.8 mi | — | |
| 20 | Asbury Park | NJ | 13 | $935 | 107.3 mi | — | |
| 21 | Wayne | NJ | 6 | $934 | 232.4 mi | — | |
| 22 | Rahway | NJ | 6 | $930 | 231.3 mi | — | |
| 23 | Delran | NJ | 5 | $913 | 272.4 mi | — | |
| 24 | Hackensack | NJ | 4 | $911 | 339.9 mi | — | |
| 25 | Park Ridge | NJ | 5 | $909 | 271.4 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 | Natosha Beierschmitt | 70 | $41,129 | 877.0 mi | 61 | — | $393 | 4 | |
| 2 | Charles Ramen | 471 | $9,813 | 31.1 mi | 51 | ✈ 2 | $64,870 | 13 | |
| 3 | Kaitlyn Kelch | 188 | $6,183 | 49.1 mi | 47 | ✈ 2 | $30,913 | 10 | |
| 4 | Melissa Owens | 260 | $5,217 | 29.9 mi | 47 | ✈ 2 | $53,653 | 9 | |
| 5 | Rhea Berry | 84 | $3,999 | 71.1 mi | 18 | — | $10,236 | 19 | |
| 6 | Kourtney Smith | 476 | $3,652 | 11.5 mi | 11 | — | $49,602 | 11 | |
| 7 | Abby Jinerson | 174 | $1,328 | 11.4 mi | 18 | — | $34,113 | 9 | |
| 8 | Laura Hill | 16 | $816 | 76.1 mi | 7 | — | $505 | 10 | |
| 9 | Michael Burris | 92 | $437 | 7.1 mi | 4 | ✈ 7 | $36,656 | 3 | |
| 10 | Stephanie Ramen | 6 | $11 | 2.8 mi | 0 | — | $639 | 4 |
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 | Natosha Beierschmitt | 105 | $66,879 | 1,005 mi | 950.7 mi | 97 | — | 21 | — | |
| 2 | Megan Allen | 9 | $7,573 | 1,285 mi | 1,255.9 mi | 9 | — | 4 | — | |
| 3 | Chris Galasso | 120 | $3,734 | 104 mi | 46.4 mi | 15 | — | 5 | $14,102 | |
| 4 | Michah Brackett | 20 | $3,220 | 603 mi | 240.3 mi | 7 | ✈ 8 | 6 | $31,031 | |
| 5 | Andrew Przybyla | 6 | $3,150 | 965 mi | 783.6 mi | 4 | ✈ 1 | 3 | $4,116 | |
| 6 | Todd Fogiel | 104 | $3,147 | 138 mi | 45.2 mi | 27 | — | 7 | $22,142 | |
| 7 | Rozier Cole | 65 | $2,971 | 194 mi | 68.2 mi | 27 | ✈ 1 | 7 | $18,399 | |
| 8 | Chane Lacy | 55 | $2,380 | 125 mi | 64.6 mi | 26 | — | 1 | $7,365 | |
| 9 | Christopher Womack | 61 | $2,075 | 138 mi | 50.8 mi | 19 | — | 3 | $9,064 | |
| 10 | Dustin Antolin | 86 | $1,392 | 97 mi | 24.2 mi | 16 | — | 3 | $10,739 | |
| 11 | Brandon Green | 83 | $1,317 | 85 mi | 23.7 mi | 20 | — | 6 | $13,291 | |
| 12 | Teddie Bracken | 132 | $949 | 33 mi | 10.7 mi | 2 | — | 1 | $6,139 | |
| 13 | Taylor Duda | 5 | $943 | 285 mi | 281.6 mi | 3 | — | 2 | — | |
| 14 | Scott R Roberts | 188 | $758 | 75 mi | 6.0 mi | 3 | — | 4 | $25,979 | |
| 15 | Darrell Hope | 109 | $724 | 31 mi | 9.9 mi | 4 | — | 4 | $15,849 | |
| 16 | David Trost | 76 | $709 | 36 mi | 13.9 mi | 5 | — | 4 | $8,965 | |
| 17 | Thomas J Langenberg Jr | 15 | $590 | 105 mi | 58.7 mi | 5 | — | 4 | $1,091 | |
| 18 | Kevin Cox | 34 | $543 | 93 mi | 23.8 mi | 4 | — | 4 | $5,172 | |
| 19 | Luis Torres | 54 | $484 | 82 mi | 13.4 mi | 1 | — | 5 | $4,876 | |
| 20 | Craig Walker | 43 | $259 | 94 mi | 9.0 mi | 4 | — | 3 | $10,025 |