ProductionEvidence: Medium55/100

Hapag-Lloyd and HERE improve container tracking with AI-powered predictive ETAs on AWS

Use case typeWorkflow automationUpdated Jun 13, 2026

Hapag-Lloyd partnered with HERE Technologies on AWS to transform its Live Position system, delivering AI-powered predictive ETAs updated every 15 minutes across all transportation modes. The solution combines HERE tracking and geocoding capabilities with near-real-time container positioning, processing location updates from 2 million containers using Amazon Kinesis Data Streams and storing structured relationships in Amazon RDS. Amazon SageMaker AI is used for machine learning-based ETA prediction and Amazon Bedrock adds generative AI and agent capabilities.

Organization
Hapag-Lloyd
Industry
Logistics
Location
Germany
Published
June 2026

Reported outcomes

Strategic outcomes

Better decisions & insightShifted from reactive to proactive planningRisk & complianceAdded geofenced security for high-value goodsCustomer experience & trustImproved shipment visibility and timing informationNew product / capabilityDelivered AI-powered predictive ETAs across modes
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
Hapag-Lloyd
Provider
AWS
Maturity
Production

Operational delays, traffic congestion, weather, and construction created uncertainty for shippers managing high-value cargo

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 6

  • 1Predictive ETAs
  • 2Supply chain visibility
  • 3Route optimization
  • Visibility gaps in multimodal container shipping created uncertainty and risk of late or misdirected shipments when containers moved between ocean, rail, truck, and barge.
  • Operational delays, traffic congestion, weather, and construction created uncertainty for shippers managing high-value cargo.
  • Hapag-Lloyd enhanced its Live Position system by combining HERE Map Data, HERE Tracking, and HERE Geocoding and Search with NRT positioning data from tracking devices.
  • The solution streams and processes location updates with Amazon Kinesis Data Streams, uses Amazon RDS for structured data, Amazon SageMaker AI for predictive ETAs, and Amazon Bedrock for generative AI and agents.
  • Customers access tracking data through existing APIs without disrupting workflows.
Technologies
Amazon Kinesis Data StreamsAmazon RDSAmazon SageMaker AIAmazon BedrockHERE TrackingHERE Map DataHERE Geocoding and Search
  • The system delivers accurate predictive ETAs updated across transportation modes, enabling Hapag-Lloyd to shift from reactive to proactive planning.
  • The solution adds geofenced security for high-value goods, improves customer satisfaction with precise timing information, and supports smarter routing that cuts fuel use.
Architecture

Hapag-Lloyd's Live Position system uses HERE Tracking and geocoding capabilities on AWS, streams location updates through Amazon Kinesis Data Streams, stores relationships in Amazon RDS, applies Amazon SageMaker AI for ETA prediction, and uses Amazon Bedrock for generative AI and agent capabilities.

Implementation partners1
HERE Technologies
Sources & evidence1
Evidence: Medium55/100Evidence strength
  • Customer explicitly identified
  • Deployment status explicitly supported
  • Primary source available
  • Technical implementation details available
Type: Customer StoryPublished: Jun 8, 2026Publisher: AWSEvidence: VendorConfidence: Medium
Primary source

AI-generated summary. Verify important details with the linked sources before relying on this case.

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Market context
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AI patterns
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