How Hapag-Lloyd uses Amazon Bedrock to transform customer feedback into actionable insights
Not a pilot. Hapag-Lloyd deployed Amazon Bedrock across customer feedback analysis — turning unstructured complaints into actionable insights at scale.
Why it matters
This is a real-world deployment of generative AI infrastructure (Amazon Bedrock + LangChain/LangGraph) solving enterprise pain points. It demonstrates how mature AI tooling is moving beyond POCs into production systems for Fortune 500 supply chain companies.
The key facts
10 to knowCompany: Hapag-Lloyd (global container shipping)
Tech stack: Amazon Bedrock, Elasticsearch, LangChain, LangGraph
Use case: Generative AI-powered customer feedback analysis
Teams: Digital Customer Experience and Engineering (Hamburg, Gdańsk)
Type: Production deployment, not pilot
Hapag-Lloyd built generative AI feedback solution using Amazon Bedrock
Tech stack: Amazon Bedrock + Elasticsearch + LangChain + LangGraph
Teams distributed between Hamburg and Gdańsk
Applied to customer-facing web and mobile products
Case study published on AWS ML blog (May 2026)
Go to the source
AWS Machine Learning Blogaws.amazon.com
Publisher excerpt: Hapag-Lloyd's Digital Customer Experience and Engineering team, distributed between Hamburg and Gdańsk, drives digital innovation by developing and maintaining customer-facing web and mobile products. In this post, we walk you through our generative AI–powered feedback analysis solution built using…