A preview of the analysis layer the methodology produces — applied to your fleet's data

The three numbers that actually tell you where your margin is going

Most TMS dashboards show you load count, revenue per load, and on-time delivery. Those are lag indicators — they tell you what already happened. We track the three leading indicators that predict margin erosion before it hits your P&L.

Non-revenue drive time is the percentage of total drive time that generates zero revenue — empty repositioning, bobtailing, excessive stem time, relay deadhead. Industry benchmarks report 16.7% deadhead, but when you account for all non-revenue driving, the real number is 30–45% for most fleets. The dashboard shows you your actual number, updated continuously.

Cost per mile is your fully-loaded operating cost divided by total miles driven — including the empty ones. ATRI puts the industry average at $2.27/mi (2024). Reducing non-revenue time directly compresses this number. Every point of deadhead reduction is roughly $0.04–$0.06/mi in cost savings on a typical 120-truck fleet.

Fleet utilization is the share of available driver-hours generating loaded miles. It's the inverse of non-revenue time, and the number your investors and lenders actually care about.

Thirty days of audit impact, plotted week by week

The trend chart above shows non-revenue drive time across the last 30 days — the red line is your baseline before the audit recommendations were implemented, the green line is the trajectory as changes rolled out.

The chart is deliberately simple: it answers the question every ops leader asks first: "Is it actually getting better?" The downward slope of the green line tells you the playbook is working. The gap between the lines tells you how much runway you still have.

In the methodology example above, the modeled fleet baseline is 36% non-revenue drive time. The methodology projects 14.2% within 90 days of full implementation — a 21.8-point improvement. The ATL–JAX lane rebalance alone closes 12 points. The green dot at the end of the line marks the most recent weekly update.

The color-coded lane analysis that tells you exactly where to act first

The lane analysis panel is the most operationally actionable part of the dashboard. Every lane in your network is scored by non-revenue percentage and ranked by recoverable dollar value. The color coding is not decoration — it's a priority queue.

Red lanes (high severity) are your biggest opportunities. ATL→JAX at 38% non-revenue time means more than a third of every mile driven on that corridor generates zero revenue. These lanes get addressed in Phase 1 of the playbook — typically through load matching, meet-and-turn arrangements, or targeted spot capacity partnerships.

Amber lanes (medium severity) like CLT→NSH at 24% are often imbalanced lane pairs — strong one-directional freight with a weak return. Phase 2 targets these with broker integrations or shipper contract renegotiations to improve the backhaul ratio.

Green lanes (optimized) are your benchmarks. MEM→ATL at 11% non-revenue time is performing near best-in-class. We study what's working there and replicate the dispatch logic and account mix on underperforming corridors.