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 | 1,383 | $40,719 | 100% | 43.9 mi | 122 | ✈ 9 | $271,109 | 29 |
States with the highest total avoidable travel cost.
| # | State | WOs | Avoidable Cost | Impact | Avg Excess | Flew |
|---|---|---|---|---|---|---|
| 1 | NY | 1,383 | $40,719 | 43.9 mi | ✈ 9 |
Top cities by total avoidable cost. These are your biggest geographic hotspots.
| # | City | State | WOs | Avoidable Cost | Impact | Avg Excess | Flew |
|---|---|---|---|---|---|---|---|
| 1 | New York | NY | 200 | $6,207 | 46.3 mi | — | |
| 2 | Guilderland Center | NY | 25 | $3,308 | 197.5 mi | ✈ 5 | |
| 3 | Altamont | NY | 20 | $3,018 | 225.2 mi | ✈ 3 | |
| 4 | Mount Kisco | NY | 8 | $2,996 | 559.0 mi | — | |
| 5 | NEW YORK | NY | 111 | $2,068 | 27.8 mi | — | |
| 6 | Bronx | NY | 44 | $1,859 | 63.1 mi | — | |
| 7 | Poughkeepsie | NY | 10 | $1,734 | 258.8 mi | — | |
| 8 | Middletown | NY | 5 | $1,474 | 440.0 mi | — | |
| 9 | Brewster | NY | 7 | $1,090 | 232.5 mi | — | |
| 10 | Commack | NY | 5 | $1,010 | 301.4 mi | — | |
| 11 | Yonkers | NY | 4 | $999 | 372.8 mi | — | |
| 12 | Rochester | NY | 17 | $949 | 83.4 mi | — | |
| 13 | VALHALLA | NY | 29 | $718 | 36.9 mi | — | |
| 14 | BROOKLYN | NY | 56 | $697 | 18.6 mi | — | |
| 15 | Suffern | NY | 8 | $555 | 103.6 mi | — | |
| 16 | ROCHESTER | NY | 16 | $551 | 51.4 mi | — | |
| 17 | Cortlandt Manor | NY | 6 | $506 | 125.8 mi | — | |
| 18 | Brooklyn | NY | 115 | $465 | 6.0 mi | — | |
| 19 | Flushing | NY | 48 | $450 | 14.0 mi | — | |
| 20 | STONY BROOK | NY | 48 | $429 | 13.3 mi | — | |
| 21 | Kingston | NY | 15 | $390 | 38.8 mi | — | |
| 22 | Utica | NY | 5 | $356 | 106.3 mi | — | |
| 23 | SYRACUSE | NY | 14 | $336 | 35.8 mi | — | |
| 24 | BRONX | NY | 45 | $326 | 10.8 mi | ✈ 1 | |
| 25 | Stony Brook | NY | 24 | $275 | 17.1 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 | Cristina Everetts | 53 | $6,273 | 176.6 mi | 17 | — | $7,175 | 15 | |
| 2 | Fady Messak | 11 | $1,158 | 157.1 mi | 3 | — | — | 6 | |
| 3 | Mandy Newman | 31 | $1,084 | 52.2 mi | 3 | ✈ 1 | $7,938 | 9 | |
| 4 | Rebecca Arnold | 55 | $842 | 22.9 mi | 2 | — | $6,298 | 6 | |
| 5 | Brandi Rodriguez | 9 | $120 | 19.9 mi | 0 | — | $1,705 | 2 |
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 | Nkosi Wilson | 33 | $16,354 | 764 mi | 739.7 mi | 33 | — | 1 | $2,371 | |
| 2 | Fady Messak | 64 | $1,758 | 69 mi | 41.0 mi | 1 | ✈ 1 | 1 | $2,446 | |
| 3 | Alberto Galan | 124 | $1,527 | 28 mi | 18.4 mi | 1 | — | 1 | $30,924 | |
| 4 | Andre Samuda | 284 | $1,307 | 22 mi | 6.9 mi | 4 | — | 1 | $19,437 | |
| 5 | Shady Messak | 52 | $1,218 | 44 mi | 35.0 mi | 1 | — | 1 | $3,736 | |
| 6 | Fanfan Siku | 18 | $1,069 | 236 mi | 88.6 mi | 4 | — | 1 | $3,377 | |
| 7 | Bryan Rodriguez | 64 | $1,069 | 102 mi | 24.9 mi | 6 | — | 1 | $26,112 | |
| 8 | Vivian Hyde | 250 | $952 | 19 mi | 5.7 mi | 0 | — | 1 | $11,168 | |
| 9 | Joseph Nuovo | 24 | $811 | 175 mi | 50.4 mi | 12 | — | 1 | $6,409 | |
| 10 | Rodney Charles | 20 | $785 | 189 mi | 58.6 mi | 10 | — | 1 | $11,436 | |
| 11 | Eric Mancerella | 19 | $714 | 234 mi | 56.0 mi | 13 | — | 1 | $2,380 | |
| 12 | Philmon Mehari | 65 | $647 | 61 mi | 14.8 mi | 1 | — | 1 | $20,703 | |
| 13 | Fady Khouzam | 59 | $639 | 36 mi | 16.2 mi | 8 | — | 1 | $12,487 | |
| 14 | Davon Cox | 63 | $558 | 57 mi | 13.2 mi | 1 | — | 1 | $26,436 | |
| 15 | Israel Martell | 131 | $417 | 13 mi | 4.8 mi | 0 | ✈ 1 | 1 | $25,159 | |
| 16 | April Nuovo | 16 | $397 | 149 mi | 37.1 mi | 4 | — | 1 | $5,209 | |
| 17 | Carlos Puebla | 45 | $267 | 18 mi | 8.8 mi | 1 | — | 1 | $15,010 | |
| 18 | Rick Charles | 5 | $251 | 94 mi | 75.0 mi | 5 | — | 1 | $1,300 | |
| 19 | Dillon Pilgrim | 26 | $170 | 19 mi | 9.8 mi | 0 | — | 1 | $1,608 |