Fleet Intelligence across all three practices
The analysis layer the methodology produces — KPIs, before/after trends, and lane-level diagnostics. Built from your TMS export, shipment data, and fleet roster. No new software, no new integrations. Three dashboards, one for each Marginhaul service practice.
Deadhead Reduction Dashboard
Lane-level non-revenue time, root cause heatmaps, and recoverable value queue. Built from your TMS export and IFTA reports. Surfaces the 30–45% of drive time that generates zero revenue and ranks corridors by recoverable dollar value.
View dashboard →Route Optimization Dashboard
Hub utilization, lane balance ratios, and live cost-per-mile tracking by corridor. Built from your shipment data and facility throughput logs. Surfaces where your network footprint diverges from current freight flow.
View dashboard →eMobility Transition Dashboard
Segment readiness mapping, HVIP capture timing, and TCO delta tracking against modeled targets. Built from your fleet roster and route profiles. Surfaces which segments to electrify when, with funding capture sequencing.
View dashboard →Built from data your fleet already produces
Each dashboard is built from data your fleet already produces. The deadhead dashboard runs on your TMS export and IFTA reports. The routing dashboard runs on shipment-level data and facility throughput logs. The eMobility dashboard runs on fleet roster and route profile data. No new tooling, no new integrations — the analysis works with what you already have.
Fleet Intelligence is the output layer of the methodology, not a separate product. When the methodology is applied to your fleet's data, these are the dashboards your engagement produces. The previews here show methodology output applied to representative fleet operational profiles.