Public procurement is public record, which makes the buying window — the single hardest signal to catch on private carriers — the easiest to catch on government fleets. DotRadar reads federal solicitations, awards and contract end-dates (SAM.gov, USAspending, grants.gov) plus municipal award scraping, turns each into a dated rebid window, and pairs it with the one thing no procurement database has: the fleet’s actual operating health.
Where a spend database stops, and where we start
| What you need to sell | Spend / RFP databases | DotRadar |
|---|---|---|
| RFPs, bids, awards, contract end-dates | Yes — the transaction | Yes — as a dated rebid window with a why-now + outreach angle |
| Equipment & financing signals | Partial | Purchases, filings, financing, grant awards, announcements |
| Fleet health — OOS, CSA alerts, inspections, crashes, fleet age | None | Yes — from FMCSA, on the actual vehicles |
| Ranked buying-window per fleet | No | Yes — scored, A/B/C tiers |
| Ready-to-send outreach that ties it together | No | Yes — RadarIQ + RadarOutreach |
The public-sector universe, already mapped
DotRadar carries the government fleet universe — cities, counties, transit agencies, school districts, public works and DOTs, utilities, ports, and universities — as a parallel dataset to the ~106,000 active FMCSA carriers RadarIQ scores. You pick a state, pick the public-sector view, and rank real entities, not a contact list.
The buying signals RadarIQ reads on a government fleet
Fleet health is the wedge
For a maintenance-software sale, the buying signal isn’t just “they’re big” — it’s trucks getting pulled at inspection for equipment defects. DotRadar reads it straight from FMCSA — MOTUS-native, refreshed daily: vehicle out-of-service rate versus the national average (gated on real inspection volume, never asserted from thin data), maintenance-related CSA alerts, inspection and crash history, and fleet age. A public fleet that’s aging, failing inspections, and just put an RFP out is a fleet whose current process has already broken.
RadarIQ is the brain
Every signal above feeds RadarIQ, the platform’s AI brain: it fuses weak signals into an inferred buying window, ranks the whole universe, and learns your team’s wins as it goes. Ask it in plain English — “county and municipal fleets in Texas with rising vehicle OOS and a truck RFP out this year” — and it ranks and explains each pick, then serves reps their next calls in RadarHQ, the command center (one click to “Send to RadarHQ”). RadarRoadshow plans the trip or the fleet-manager conference around the best clusters, and RadarOutreach drafts the note that leads with the rebid window and the compliance flag. RadarIQ cooks; RadarHQ serves it up — the data, the ranking, and the outreach are one system.
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