Bill of Lading (BOL) Document Automation

Extract any field from bill of lading (BOL) documents automatically with AI-powered Intelligent Document Processing (IDP).

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Image of a bill of lading form. The form includes headers for Shipper, Consignee, and Carrier Information, with grid sections for describing the cargo. 'BILL OF LADING' is prominently displayed at the top.

Trusted by Industry Leaders Across the Globe

Extract Critical Data from BOL Documents with AI

Don't waste time training models or building templates. Our IDP solution recognizes common BOL document fields out-of-the-box, and is flexible enough to adapt as your documents evolve.

Fields that can be extracted:

Carrier Name

Consignee Name

Date of Issue

Declared Value

Description of Goods

Freight Class

Hazardous Material Information

Notify Party

Port of Discharge

Port of Loading

Shipper Name

Signature

Vessel Name

BOL Number

And Many More!

Reduce Processing Time

Significantly cut down on processing times with automated data extraction and document handling.

Nexi Group Achieved:

400 hours saved each month by automating the paper-based KYC and AML documentation processes, streamlining the merchant onboarding experience

Improve Accuracy with LLMs

Leverage the power of generative AI to improve data extraction accuracy.

Lano achieved:

Near-zero error rate

"When we saw the quality of the automatically retrieved information from a piece of paper, we didn’t want a human comparing or inputting the information. With super.AI it was really reading 99.9% of all the information in the document and allowed us to get rid of this manual process."

– Hagen Gall, Head of Merchant Onboarding and Operations Technology

Classify Documents Automatically

Quickly organize large volumes of paperwork, reducing human error, and enhancing data retrieval efficiency.

Bureau Veritas achieved:

$9M saved annually from reduced churn

Bureau Veritas achieved:

$9M saved annually from reduced churn

Streamline Email Attachments

Simplify the process of extracting data from email attachments.

By automating international pay slip and invoice processing, Lano unlocked new levels of productivity, allowing its team to focus on value-adding activities and strategic growth.

Triputra achieved:

98% process automation

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