Shipment intelligence — every BOL, joined to the buyer.
Live shipment data isn't a CSV in LIT — it's a graph. Every BOL joins to a normalized importer, exporter, lane, and contact list, so you can move from signal to outreach in minutes.
Shipment intelligence in LIT joins every US BOL to enriched importer + contact data. You can see who shipped what, on which lane, with which carrier, when — and reach the buyer-side decision-maker the same day.
Raw BOL feeds are noisy: company name variants, missing HS codes, inconsistent ports. Reconciling them into a usable signal is a data engineering project on its own.
LIT runs entity resolution, HS classification, and carrier normalization on every filing — then joins it to a 525K-importer graph and 42M+ verified contacts.
What your team can do.
Company-name variants collapsed to a single canonical importer.
HS codes inferred where customs leaves them blank, validated against goods description.
Every record tagged with normalized carrier and UN/LOCODE port pair.
Every importer linked to 5-30 verified buyer-side contacts.
Pulse Coach surfaces meaningful changes — new lanes, new carriers, volume jumps.
Designed for the people doing the work.
- Freight sales teams turning shipment changes into pipeline.
- Trade compliance teams tracking import patterns by HS chapter.
- Maritime analysts and journalists building data-driven stories.
Common questions.
How accurate is the entity resolution?
Above 96% precision on the importer side. We surface ambiguous records as low-confidence rather than guessing.
Can I get raw BOL data via API?
Yes, on Pro/Enterprise. The same query surface as the UI is available programmatically.
Explore the connected workflow.
See how LIT fits your sales process.
Bring a few target accounts or lanes to the demo. We will show you how the research, contacts, pipeline, and next steps come together.