Data Platform for Ports and Inland Logistics Facilities
Publication date: August 23, 2022 (Diagram history)
With this architecture, you can eliminate data silos across port terminals and logistics facilities. Build a scalable, low-cost data platform with near-real-time visibility. Improve profitability with ML, analytics, and workflow automation. The solution uses AWS IoT Core for device connectivity, Amazon SageMaker AI for predictive analytics, and AWS Step Functions for workflow automation.
Data platform for ports diagram
The following steps describe the data ingestion and analytics components for this architecture:
-
Build a data pipeline from Enterprise Resource Planning (ERP) systems, IoT-enabled assets, and third-party data providers. Use the AWS global footprint to connect multiple ports and create a unified data stream.
-
Deploy an elastic and scalable data ingestion solution. Increase resilience, security, availability, and fault tolerance. Expand or reduce capacity based on seasonal trade fluctuations without upfront capital.
-
Automate back-office and operational workflows by using AWS Step Functions. Reduce overheads and improve management of safety, security, and equipment gating operations.
-
Use SageMaker AI and Amazon Rekognition for predictive and prescriptive analytics. Reduce operational costs through equipment usage optimization, route and fuel optimization, and maintenance planning.
-
Turn data into actionable knowledge with Amazon Redshift and Amazon Quick Sight. Disseminate alerts with Amazon Pinpoint. Share key metrics with partners through Amazon API Gateway.
Further reading
For additional information, see the following resources:
Diagram history
To receive updates about this reference architecture diagram, subscribe to the RSS feed.
| Change | Description | Date |
|---|---|---|
Initial publication | Reference architecture diagram first published. | August 23, 2022 |
RSS subscription requirement
To subscribe to RSS updates, you must have an RSS plugin enabled for the browser you are using.