Logistics & Freight Forwarding

From 40 hours/week of manual document processing to 4 — across 14 document types.

A freight forwarder was processing bills of lading, packing lists, commercial invoices and customs declarations manually. AP, ops and customs staff spent a combined 40 hours/week on data entry. We built a document AI pipeline integrated with their TMS.

40 → 4
hours/week on data entry
14
document types automated
97.3%
extraction accuracy
26 wks
from kickoff to production
The problem

Every shipment required staff to read PDFs, type fields into the TMS, cross-check against customer instructions, and flag discrepancies. Errors slipped through and caused costly customs delays. Hiring more clerks wasn't the answer — it was the wrong work.

What we built

We deployed a document AI pipeline using a mix of fine-tuned extraction models and an LLM verification layer. Documents are ingested via email and FTP, classified, extracted, validated against business rules, and posted to the TMS. Exceptions are routed to a review queue with the AI's reasoning attached so staff make decisions, not data entry.

Results

97.3% straight-through processing in production. Combined manual processing time dropped from 40 hours/week to 4. Customs error rate fell by 60%. Staff redeployed to exception handling and customer service — work that actually needs humans.

Trend · cumulative outcome40 → 4

We didn't want to replace people. We wanted to stop wasting their time on data entry. That's exactly what we got.

HB Goh, Head of Operations
Let's talk

Tell us what's breaking. We'll show you what to fix.

A 60-minute call with a senior engineer — no salespeople, no slide deck. You'll leave with a concrete next step, whether or not we work together.