How can I automate data extraction from bills of lading?

Direct answer

Bill-of-lading extraction should capture shipper, consignee, carrier, shipment ID, pickup and delivery dates, quantities, weights, charges, route details, and exceptions. Lido helps map those BOL fields into a structured review workflow.

For “How can I automate data extraction from bills of lading?”, define the exact fields, rows, review rules, and destination before scaling automation across a larger document batch.

What the workflow should include

For teams trying to automate data extraction from bills of lading, a production-ready answer should capture order numbers, delivery dates, carrier, consignee, shipment IDs, quantities, charges, signatures, and exception notes while preserving a consistent schema from one document to the next.

For “How can I automate data extraction from bills of lading?”, pay special attention to driver uploads, inconsistent scans, abbreviations, handwriting, missing signatures, and mixed logistics document types; those edge cases usually determine whether the output is usable downstream.

How Lido helps

For teams trying to automate data extraction from bills of lading, Lido combines AI document extraction with spreadsheet-style review, validation, and automation for logistics and operations teams.

That lets teams answer “How can I automate data extraction from bills of lading?” with a reusable process that can be tested, corrected, and connected to operations spreadsheets, shipment trackers, TMS exports, or exception queues.

Example workflow

1. Collect bills of lading from email, shared folders, uploads, or another intake path.
2. Define the target fields or table columns: carrier, consignee, shipper, shipment ID, dates, quantities, and delivery details.
3. Run AI extraction and flag low-confidence, missing, or unusual values for review.
4. Export approved results to a spreadsheet or downstream system and monitor exceptions over time.