Laava LogoLaava

Project context

Logistics Document Intake Before ERP Entry

Document intake workflow for logistics backoffices that reads freight documents, extracts structured fields, and validates them before ERP entry, so teams stop retyping and correcting the same information by hand.

Validated conceptHigh-volume logistics backoffice2025

Client identity kept confidential

Stacked metallic panels in soft pink light — abstract document throughput
91%
Extraction accuracy
Measured
~200
Documents tested
Observed
23
Validation catches
Observed

Evidence

Measured on approximately 200 archived documents. ERP mapping was validated, but live ERP integration was outside this phase.

The challenge

The solution

Technology stack

Azure OpenAILangGraph

The result

Extraction accuracy: 91% of fields correctly extracted across the test set of ~200 documents, including scanned and photographed originals.

Validation catches: The validation layer flagged 23 mismatches that would have been missed in manual processing during testing.

Production path: Results were strong enough to greenlight a follow-up integration phase connecting the pipeline to their live ERP environment.

Next step

Want to explore where this could land first in your operation?

Start with one concrete process. In the AI Opportunity Scan we assess where AI adds value and what the best first route looks like.

Logistics Document Intake Before ERP Entry Case Study | Laava