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 | Angel Rios | 12 | 914 | $612 | 76.2 mi | 40.8 mi | 489 | $328 | 76.2 |
54% excess
|
| 2 | Tim Holman | 13 | 614 | $411 | 47.2 mi | 8.6 mi | 111 | $74 | 47.2 |
18% excess
|
| 3 | Michah Brackett | 1 | 440 | $295 | 440.4 mi | 0.0 mi | 0 | $0 | 440 |
0% excess
|
| 4 | Rene Yescas | 11 | 356 | $239 | 32.4 mi | 27.0 mi | 297 | $199 | 32.4 |
83% excess
|
| 5 | Michael Russell | 2 | 252 | $169 | 126.0 mi | 117.5 mi | 235 | $157 | 126 |
93% excess
|
| 6 | Omar Serrano | 2 | 207 | $139 | 103.3 mi | 0.0 mi | 0 | $0 | 103.5 |
0% excess
|
| 7 | Justin Armas | 2 | 175 | $117 | 87.7 mi | 69.8 mi | 140 | $94 | 87.5 |
80% excess
|
| 8 | Jason Morris | 3 | 104 | $70 | 34.8 mi | 25.5 mi | 77 | $52 | 34.7 |
74% excess
|
| 9 | Kwame Cobb | 1 | 4 | $3 | 4.3 mi | 0.0 mi | 0 | $0 | 4 |
0% excess
|