Hapag-Lloyd
Discover 2 AI Use Cases & Implementations from Hapag-Lloyd
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All Use Cases (2)
Hapag-Lloyd and HERE improve container tracking with AI-powered predictive ETAs on AWS
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.
Hapag-Lloyd uses Amazon Bedrock to transform customer feedback into actionable insights
Hapag-Lloyd, a global liner shipping company, built a generative AI feedback analysis solution to replace a manual and reactive review process for customer ratings and comments.The pipeline ingests feedback on a scheduled basis from Amazon S3, uses Amazon Bedrock to classify sentiment and generate summaries and themes, and stores results in Amazon OpenSearch Service for search and exploration.Product managers and other stakeholders use Amazon OpenSearch Dashboards and an internal chatbot to drill into trends, ask natural-language questions, and receive concise insights for product planning and prioritization.The solution also uses Amazon Bedrock Guardrails, AWS Lambda, Amazon ECS, AWS CloudFormation, Amazon CloudWatch, AWS CloudTrail, Amazon SES, LangChain, LangGraph, and cross-region inference to support safety, orchestration, notifications, and resilience.