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 | Jason Morris | 12 | 12,014 | $8,049 | 1001.2 mi | 958.3 mi | 11,500 | $7,705 | 1001.2 |
96% excess
|
| 2 | Andrew Przybyla | 20 | 11,651 | $7,806 | 582.5 mi | 575.1 mi | 11,502 | $7,706 | 582.6 |
99% excess
|
| 3 | Minh Huynh | 3 | 5,281 | $3,538 | 1760.4 mi | 1749.1 mi | 5,247 | $3,515 | 1760.3 |
99% excess
|
| 4 | Shawn Kelley | 3 | 5,245 | $3,514 | 1748.4 mi | 1721.9 mi | 5,166 | $3,461 | 1748.3 |
98% excess
|
| 5 | Curtis Sprague | 1 | 969 | $649 | 968.7 mi | 964.9 mi | 965 | $647 | 969 |
100% excess
|
| 6 | Michael Russell | 1 | 601 | $403 | 600.6 mi | 596.6 mi | 597 | $400 | 601 |
99% excess
|
| 7 | Ben Heinz | 10 | 349 | $234 | 34.9 mi | 0 mi | 0 | $0 | 34.9 |
0% excess
|
| 8 | Brandon Rodriguez | 3 | 0 | $0 | 0 mi | 0 mi | 0 | $0 | 0 |
0% excess
|