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 | Andrew Przybyla | 8 | 11,337 | $7,596 | 1417.2 mi | 1304.5 mi | 10,436 | $6,992 | 1417.1 |
92% excess
|
| 2 | Tyler Bollman | 4 | 5,782 | $3,874 | 1445.6 mi | 1330.6 mi | 5,322 | $3,566 | 1445.5 |
92% excess
|
| 3 | Mike Huffman | 16 | 4,730 | $3,169 | 295.6 mi | 149.8 mi | 2,397 | $1,606 | 295.6 |
51% excess
|
| 4 | Franco Jackson | 17 | 4,262 | $2,856 | 250.7 mi | 129.2 mi | 2,197 | $1,472 | 250.7 |
52% excess
|
| 5 | Jon Kuehl | 20 | 2,751 | $1,843 | 137.5 mi | 33.3 mi | 666 | $446 | 137.6 |
24% excess
|
| 6 | Vincent Nyathi | 14 | 2,254 | $1,510 | 161 mi | 94.5 mi | 1,324 | $887 | 161 |
59% excess
|
| 7 | Blake Ward | 10 | 695 | $466 | 69.5 mi | 18.5 mi | 185 | $124 | 69.5 |
27% excess
|
| 8 | Kevin Cox | 4 | 122 | $82 | 30.6 mi | 0 mi | 0 | $0 | 30.5 |
0% excess
|