How Competitive Intel Product Teams Use Cargo Ground Transportation Data

The product application is forward testing: when a rival announces a new distribution center or a dedicated fleet, drop the location onto FAF5's region-pair forecasts and judge whether they are chasing projected growth or leaning into declining tonnage. Quote the scenario spread rather than a single number, and the projection becomes a defensible range instead of a guess.

FHWA's Freight Performance Measurement Program is the only highway-segment source in this slice, and the only one measuring service quality rather than volume. Built on the NPMRDS, it delivers average truck travel times, reliability measures and bottleneck delay at TMC-segment level across the National Highway System - coverage measured in hundreds of thousands of segments - refreshed monthly. FPMweb dashboards cover 25 named Interstates, and border-crossing delay products extend the view to US land borders.

Nine free sources carry this whole workflow - no procurement cycle required. This cluster is the competitive-intel angle on the industry. For the full dataset-by-dataset treatment, read the cargo-ground-transportation data guide; for a free-first shortlist of the same evidence base, open the free cargo-ground-transportation datasets list. The industry hub ties together the best-of and API pages, and the competitive-intel-product-teams hub collects the persona's resources across every covered industry.