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 | Bed Services | 674 | $87,193 | 100% | 193.1 mi | 181 | ✈ 3 | $20,949 | 19 |
States with the highest total avoidable travel cost.
| # | State | WOs | Avoidable Cost | Impact | Avg Excess | Flew |
|---|---|---|---|---|---|---|
| 1 | VA | 543 | $82,558 | 226.9 mi | ✈ 2 | |
| 2 | SC | 73 | $2,404 | 49.2 mi | — | |
| 3 | LA | 4 | $1,391 | 518.9 mi | ✈ 1 | |
| 4 | PA | 34 | $689 | 30.2 mi | — | |
| 5 | GA | 4 | $91 | 34.0 mi | — | |
| 6 | OH | 12 | $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 | Midlothian | VA | 46 | $42,702 | 1,385.5 mi | — | |
| 2 | Richmond | VA | 226 | $19,195 | 126.8 mi | ✈ 1 | |
| 3 | Petersburg | VA | 100 | $12,847 | 191.7 mi | — | |
| 4 | Wytheville | VA | 8 | $3,109 | 580.1 mi | ✈ 1 | |
| 5 | Galax | VA | 7 | $2,845 | 606.7 mi | — | |
| 6 | Greenville | SC | 12 | $1,556 | 193.6 mi | — | |
| 7 | Merchanicsville | VA | 147 | $1,460 | 14.8 mi | — | |
| 8 | Charleston | SC | 55 | $848 | 23.0 mi | — | |
| 9 | Philadelphia | PA | 32 | $677 | 31.6 mi | — | |
| 10 | Columbus | GA | 4 | $91 | 34.0 mi | — | |
| 11 | Newport News | VA | 8 | $0 | 0.0 mi | — | |
| 12 | Mount Pleasant | SC | 5 | $0 | 0.0 mi | — | |
| 13 | West Chester | OH | 10 | $0 | 0.0 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 | Laura Hill | 674 | $87,193 | 193.1 mi | 181 | ✈ 3 | $20,949 | 19 |
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 | Fernando Lemos | 29 | $35,688 | 1,843 mi | 1,836.7 mi | 29 | — | 1 | $400 | |
| 2 | Yves Dessin | 62 | $27,584 | 674 mi | 664.0 mi | 62 | — | 1 | $3,218 | |
| 3 | Side Kick Technician | 32 | $7,825 | 374 mi | 365.0 mi | 32 | — | 1 | $3,910 | |
| 4 | Christopher Carroll | 15 | $5,955 | 651 mi | 592.5 mi | 15 | ✈ 1 | 1 | $764 | |
| 5 | Rozier Cole | 20 | $4,028 | 303 mi | 300.6 mi | 20 | ✈ 1 | 1 | $1,727 | |
| 6 | Xiraiyah Coston | 10 | $1,391 | 231 mi | 207.6 mi | 2 | ✈ 1 | 2 | $7,199 | |
| 7 | Kevin Cogdill | 7 | $1,162 | 260 mi | 247.8 mi | 7 | — | 1 | $261 | |
| 8 | Joe Evans | 10 | $1,123 | 179 mi | 167.6 mi | 10 | — | 1 | — | |
| 9 | Kenneth Lancara | 6 | $783 | 224 mi | 194.9 mi | 2 | — | 3 | — | |
| 10 | Carlos Robles | 167 | $756 | 9 mi | 6.8 mi | 0 | — | 1 | $2,038 | |
| 11 | Pete Ramos | 34 | $689 | 46 mi | 30.2 mi | 0 | — | 1 | $1,072 | |
| 12 | Matthew Sebzda | 28 | $119 | 19 mi | 6.4 mi | 0 | — | 1 | $344 | |
| 13 | David Hernandez | 67 | $0 | 14 mi | 0.0 mi | 0 | — | 1 | — | |
| 14 | Ray-Anthony Alston | 28 | $0 | 15 mi | 0.0 mi | 0 | — | 1 | $16 | |
| 15 | Jon Sanchez | 141 | $0 | 7 mi | 0.0 mi | 0 | — | 1 | — | |
| 16 | Franco Jackson | 12 | $0 | 12 mi | 0.0 mi | 0 | — | 1 | — |