Form-aware extraction
Schema per form type, not a generic blob.
An end-to-end document automation pipeline that parses bills of lading, customs forms, and invoices, then writes structured data straight into the TMS.
Operators were re-keying every shipment by hand into the TMS. Nights and weekends were a backlog of paperwork, and the error rate was creeping up.
Tight feedback loops, weekly demos, code you fully own.
Catalogued every form type, then built a labeled set of 4,000 documents to evaluate against.
Two-stage pipeline: a fast classifier routes the doc, then a focused LLM extracts the schema.
Confidence-based queue so ops review only the ~3% the model is uncertain about.
Idempotent, auditable writes with a one-click rollback if anything looks off downstream.
Schema per form type, not a generic blob.
Auto-pass, review, or reject — never silent.
Every field has a source and a timestamp.
Idempotent writes with rollback.
Reviewer fixes feed back into the model weekly.
Throughput, SLA, and accuracy at a glance.
Across the top 12 form types.
From 4 minutes to 30 seconds per doc.
Auto-processed with no overtime.
Reallocated from data entry to growth.
“Our ops team used to dread Mondays. Now the queue is empty by 9am. The pipeline just works, and when it doesn't, we know why.”

Delivered measurable business impact.

Delivered measurable business impact.

Delivered measurable business impact.
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