Hey IH community,
I work at INTECH Creative Services — we've been building tech for ports and terminals since 2010. Not a sexy consumer product, but ports are genuinely fascinating from a systems design standpoint.
We just published a deep-dive on Port Data Lakes — and I wanted to share some real insights here, not just a blog link.
The core problem: ports have data wealth and information poverty
A mid-size container terminal might have:
- A TOS (Terminal Operating System) tracking 50,000+ container movements/day
- SAP or Oracle handling invoicing, procurement, HR
- Vessel systems giving AIS position updates every few seconds
- IoT sensors on cranes, straddle carriers, reefer units
- Customs portals with cargo manifests
- Customer portals with booking data
Zero of these systems talk to each other by default.
The result? Port managers get their "real-time" data in the form of a morning Excel report assembled by someone who pulled 5 different reports at 7am.
What actually works: the unified data lake pattern
We've helped ports build architectures where:
- All systems push data to a central lake via APIs or streaming
- ETL pipelines standardize and reconcile the data
- One dashboard shows ops, finance, and logistics in sync
- Billing happens automatically when a vessel departs (TOS triggers → ERP invoice)
The ROI is immediate — one port cut manual reconciliation from 3 days to 4 hours.
The non-obvious challenges
- Vendor lock-in on TOS — many TOS platforms have proprietary APIs or charge for integration access
- ERP customization debt — heavily customized SAP instances are a nightmare to integrate without proper middleware
- Governance politics — the ops team and finance team often don't agree on which system is the "source of truth"
Full technical breakdown here:
How to Build a Port Data Lake with TOS, ERP & Vessel Integration →
Curious if anyone else here has worked on industrial/logistics data infrastructure? Would love to swap notes.