An LLM-powered workflow automation platform built for a global logistics operator. Reduced manual operations by 78%, freed 11,000 hours per quarter, and paid for itself within 6 weeks of go-live.
The client operates one of the busiest cold-chain logistics networks in Asia-Pacific. The bottleneck wasn't trucks or warehouses — it was a 12-person ops team drowning in email-PDF-spreadsheet workflows that hadn't been redesigned since 2014.
We built an agentic platform that ingests their inboxes, extracts structured data from messy PDFs, executes deterministic workflows in their TMS, and escalates only the genuine edge cases to humans.
Microsoft Graph + custom parsers monitor 4 shared mailboxes, classifying messages by intent within 200ms.
Vision-language model extracts structured fields from BOLs, invoices, customs forms — 99.2% field accuracy.
LLM agents reconcile extracted data against the TMS, flag mismatches, and propose resolution actions.
Deterministic workflows update the TMS, dispatch confirmations, trigger downstream notifications — fully audited.
Only genuine edge cases reach the ops team — with the agent's reasoning trail attached for fast triage.