Quantify excess travel cost and identify optimization opportunities across your field service operation
Top 30 techs by total miles driven. High total miles + high avg excess = overloaded tech being dispatched far. Low WO count + high miles = potential territory misalignment.
| # | Technician | WOs | Total Miles | Total Travel Cost | Avg Actual Dist | Avg Excess | Total Excess Miles | Avoidable Cost | Miles/WO Ratio | Travel Load |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Brandon Rodriguez | 1 | 1,126 | $754 | 1125.5 mi | 1123.6 mi | 1,124 | $753 | 1126 |
100% excess
|
| 2 | Arturo Diaz | 1 | 199 | $133 | 199.0 mi | 197.2 mi | 197 | $132 | 199 |
99% excess
|
| 3 | Anthony Wirth | 1 | 15 | $10 | 14.8 mi | 9.2 mi | 9 | $6 | 15 |
60% excess
|
| 4 | Kevin Cox | 1 | 1 | $1 | 1.0 mi | 0.0 mi | 0 | $0 | 1 |
0% excess
|
| 5 | Darrell Hendrix | 2 | 0 | $0 | 0.0 mi | 0.0 mi | 0 | $0 | 0 |
0% excess
|
| 6 | Thomas J Langenberg Jr | 1 | 0 | $0 | 0.0 mi | 0.0 mi | 0 | $0 | 0 |
0% excess
|
| 7 | Tyler Bollman | 1 | 0 | $0 | 0.0 mi | 0.0 mi | 0 | $0 | 0 |
0% excess
|
| 8 | Andrew Przybyla | 1 | 0 | $0 | 0.0 mi | 0.0 mi | 0 | $0 | 0 |
0% excess
|
| 9 | Zachary Stieben | 1 | 0 | $0 | 0.0 mi | 0.0 mi | 0 | $0 | 0 |
0% excess
|
| 10 | Ben Heinz | 1 | 0 | $0 | 0.0 mi | 0.0 mi | 0 | $0 | 0 |
0% excess
|
| 11 | Chane Lacy | 1 | 0 | $0 | 0.0 mi | 0.0 mi | 0 | $0 | 0 |
0% excess
|
| 12 | Christopher Womack | 2 | 0 | $0 | 0.0 mi | 0.0 mi | 0 | $0 | 0 |
0% excess
|