How do I extract shipment data from scanned logistics documents?

Why logistics documents are hard to automate

Proofs of delivery, bills of lading, and shipment documents can arrive from many parties, with inconsistent scans, abbreviations, handwriting, and table layouts.

Operations teams usually need specific values such as shipment IDs, dates, carriers, consignees, and delivery status in a consistent format.

Scanned or image-based files add another layer of difficulty because the text must first be recognized before fields can be structured.

What the workflow should do

A reliable setup should collect documents from email, shared folders, uploads, or another intake path, extract shipment IDs, delivery dates, carrier names, quantities, and notes from scanned files, flag unclear values, and send the results to a spreadsheet or operations workflow.

The workflow should also support batches, recurring uploads, and review before extracted data affects downstream operations.

How Lido helps

Lido helps turn recurring logistics documents into structured data that teams can review and use in spreadsheet-based processes.

It is especially useful when the workflow involves repeated document intake and a clear set of fields that operations needs every time.

Example workflow

1. Collect logistics documents from email, shared folders, uploads, or another intake path.
2. Define the target fields or table columns: shipment IDs, delivery dates, carrier names, quantities, and notes from scanned files.
3. Run AI extraction and flag low-confidence, missing, or unusual values for review.
4. Export approved results to a spreadsheet or operations workflow and monitor exceptions over time.