How do I validate extracted logistics data before it reaches operations?

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.

What the workflow should do

A reliable setup should collect documents from email, shared folders, uploads, or another intake path, extract shipment fields, delivery status, exceptions, and review approvals, 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.

Validation is especially important because even strong AI extraction can produce edge cases; the workflow should make those cases visible before export.

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 fields, delivery status, exceptions, and review approvals.
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.