Logisticintel

A normalised, weekly-refreshed index of every US ocean bill of lading since 2014 — 124 million-plus US Customs filings — queryable across 20+ dimensions (importer/consignee, exporter/shipper, HS code, country of origin, port pair, lane, carrier, container count, weight, declared value, arrival window), with shipper and consignee names normalised and each record joined to enriched company attributes and buyer-side contact records. Ships with a saved-search/alert layer that fires when a newly filed shipment matches a stored query, and per-corridor freshness metadata for air, Mexico and other non-ocean feeds.

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Sample

Brickroad customers

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Coverage

Universe, instruments and categories.

Industry: Application Software
Instruments: equities
Categories: Supply ChainAlternativeReference
Regions: US
Sample tickers: WMTTGTHDCOSTNKEFDXUPSMATX

Dataset card

Type: not stated
Format: Tabular (queryable index, REST API on paid tiers, CRM/CSV export)
Volume: Stated: 124 million-plus live US ocean bill-of-lading filings covering every US ocean BOL since 2014, refreshed weekly. Plus the derived join layer — 5 to 30 verified buyer-side contacts (role, email, phone) per importer, which across even a few hundred thousand distinct importers implies millions of contact records.
Users: Not disclosed; self-serve SaaS accounts with a 7-day trial — est. hundreds to low thousands of paid seats (inferred from a 2-person company selling self-serve subscriptions into freight-forwarding and brokerage sales teams)
History: 12 years
Update frequency: not stated
Growth: Active (weekly refresh with filings landing 7-10 days after Customs release; live self-serve app with trial; per-corridor freshness maintained on a lanes page; an AI outreach feature in the workflow indicates ongoing product development) — though operated by a 2-person team, so breadth of expansion is necessarily slow.
Launched: est. 2023-2025 for the commercial product (bundling AI-assisted outreach drafting and CRM sequence integration, with a 2-person unfunded team — consistent with a recent launch), even though the underlying data coverage begins 2014. The distinction matters here: the data is a decade old, the company is not.
Delivery: not stated
Entity mapping: not stated
Sample: not stated
Point-in-time: not stated
Licence: not stated

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