Supply Chain
Logistics Control Tower
One live view across fleet, warehouse and third-party carriers, assembled from systems that were never designed to talk.
- Industry
- Supply Chain
- Year
- 2025
- Services
- Web · Data · Integration
Challenge
Six separate systems each held part of the truth about a shipment, and operators reconciled them by phone.
Delay information reached customers after the delay, not before it.
Solution
We built an integration layer that normalises carrier and warehouse events into a single shipment timeline, with conflict rules for when sources disagree.
A prediction model flags at-risk shipments early enough for the operations team to act rather than apologise.
Architecture
- 01 · Ingestion
- Python connectors per carrier, queue-backed
- 02 · Core
- Node.js event normaliser, PostgreSQL timeline store
- 03 · Surface
- React operations console, realtime updates
- 04 · Infrastructure
- Docker, Kubernetes, autoscaled workers
Key features
Single shipment timeline
Every source event resolved into one ordered, explainable history.
At-risk prediction
Delay likelihood surfaced hours before the missed milestone.
Carrier-agnostic connectors
New carrier onboarding measured in days, not quarters.
Results
6 → 1
Systems operators watch
−38%
Late-delivery escalations
< 5s
Event to console latency