Case Study
Harborflow Automation
Document extraction and status automation across shipping paperwork and customer updates.
Client
Harborflow Logistics
Industry
Logistics
Year
2025
Services
AI Automation, Software Development
Overview
The StartingPoint.
Harborflow coordinators spent most of their day reading PDFs and typing the same details into three systems.
The Challenge
- Shipping documents arrived in inconsistent formats.
- Customers called for status because nothing was automated.
- Manual data entry caused downstream billing errors.
Our approach
How WeWent At It.
Task audit
Measured where coordinator time actually went before automating.
Human checkpoints
Extraction is reviewed, not blindly trusted, on low confidence.
Incremental rollout
One document type automated at a time.
Solution
What WeDelivered.
Document extraction with a confidence-based review queue.
Automated status messages to customers on milestone events.
One-way sync into finance to remove duplicate entry.
Key Features
- Document intake and parsing
- Confidence-based review queue
- Milestone-triggered messaging
- WhatsApp and email updates
- Exception alerting
- Finance system sync
- Audit trail per shipment
- Coordinator dashboard
Technology
- Python
- React
- TypeScript
- PostgreSQL
- AWS Lambda
- OCR & LLM APIs
UI Screens
Outcome
Where ItLanded.
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