Supply Chain & Logistics

Production-ready document processing to optimize supply chain operations

Trusted by leading AI teams

Pallet
Zauber
CH Robinson
Nuvocargo
OVRSEA
SSA Marine

Move freight faster. Parse any logistics document

Classify and Continuously Improve

PODs contain stamps, signatures, and handwritten notes. Our VLM pipelines & Memory system detect delivery confirmation and classifies documents accurately so PODs don't get confused with BOLs.

Classify and Continuously Improve

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Handle Endless Formats

No two carriers format BOLs the same way. Extract shipper details, consignee info, and cargo descriptions from complex table layouts in seconds.

Handle Endless Formats

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Get High-Stakes Amounts Right

Freight invoices can run into millions. Confidence scores on every extracted value with automatic flagging when human review is needed before payment.

paper-1paper-4

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Get High-Stakes Amounts Right

Parse Thousands of Rows

Fuel statements span thousands of transactions. Extract line items cleanly across massive files without token limits or context cutoffs.

Parse Thousands of Rows

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Extract Dense Layouts

Packing lists cram item codes, quantities, weights, and dimensions into tight grids. Pull every field accurately regardless of column alignment or format variation.

Extract Dense Layouts

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Logistics · Document bank

See logistics documents parsed side by side

Side-by-side layout detection and markdown parsing across providers on real shipping, customs, and supply chain documents.

Documents

Bill of Lading

Carrier contract with shipper, consignee, and cargo details.

Original
Extend
109 blocks
Textract
195 blocks
Azure DI
141 blocks
Barcode
Figure
Footer
Header
Heading
Key Value
Section Heading
Table
Text

Frequently asked questions

Any document that moves with your freight, extracted accurately at a per-page cost that holds up at production volume, with no carrier-specific templates to maintain. That includes bills of lading (BOLs), proofs of delivery (PODs), freight invoices, fuel statements, and packing lists. Teams like CH Robinson, Nuvocargo, OVRSEA, and SSA Marine use Extend for this.

VLM pipelines and the Memory system read stamps, signatures, and handwritten notes to detect delivery confirmation, and classification keeps improving over time. OVRSEA calls Extend the best OCR tool it has used, and it no longer trains and maintains its own custom models.

Yes. Fuel statements with thousands of transactions extract cleanly across the entire file without token limits or context cutoffs. On LongArray-Extract, a public benchmark of 45 financial, clinical, and legal PDFs with up to about 2,200 rows each, Extend scored 99.2% mean accuracy, completed every document, and finished 2.8x faster than the closest peer, ahead of every document-AI platform and frontier model tested. See the LongArray-Extract results.

Every extracted value carries a confidence score, and values that need a second look are flagged automatically for human review before payment.

cta-background

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Turn your documents into high quality data