The Challenge
Every shipment generates a stack of trade documents — bills of lading, customs declarations, packing lists, manifests — each with overlapping but not identical data, and each needing to agree with the others before a shipment can clear. Today that means someone re-keying data from every document into a tracking system and manually checking that the container number on the bill of lading matches what's declared on the customs paperwork.
At real shipment volume, that reconciliation work is the bottleneck, not the shipments themselves — and a mismatch caught late means a shipment held at customs instead of a data-entry correction.
“Extracting one document is OCR. Knowing whether it agrees with the three other documents for the same shipment is the part that needs an agent.”
The Solution
The Saransh Document Intelligence Agent extracts structured fields — container numbers, consignee details, HS codes, quantities, values — from bills of lading, customs declarations, and manifests regardless of format. A Saarthi orchestration layer cross-checks the extracted data across each shipment's full document set, flagging genuine mismatches before a shipment reaches customs instead of after.
Extracting one document's fields is OCR. Deciding whether this bill of lading's container number actually matches what three other documents for the same shipment declare requires holding the whole shipment's document set in context at once — which is why this needs to be agentic rather than a per-document extraction pass.
What This Pattern Typically Delivers
Operations teams work from a structured, cross-checked shipment record instead of re-keying every document by hand, and mismatches surface before a shipment is held at customs instead of after.