{"slug":"apotea-uses-aws-to-build-a-scalable-ai-platform-and-reinvent-the-future-of-ecommerce","url":"https://findausecase.com/use-cases/apotea-uses-aws-to-build-a-scalable-ai-platform-and-reinvent-the-future-of-ecommerce","title":"Apotea Uses AWS to Build a Scalable AI Platform and Reinvent the Future of Ecommerce","description":"Apotea, Sweden's largest online pharmacy, built a cloud-based AI platform on AWS using Amazon SageMaker and AWS Lambda, and deployed an AI-powered product recommendation engine using Amazon Bedrock to help customers find relevant products faster, bringing three AI use cases into production within 3 months.","company":"Apotea","industry":"Retail","aiCapabilities":["Generative AI"],"technology":["Amazon SageMaker","AWS Lambda","Amazon Bedrock"],"deployment":"Public Cloud","problemStatement":"As the company scaled, Apotea needed a modern data and AI infrastructure to centralize and analyze large volumes of data, facilitate rapid experimentation and deployment of AI-powered use cases, and reduce time to market for new AI and machine learning products.","solutionApproach":"Apotea developed a modern, cloud-based data and AI platform on AWS using Amazon SageMaker and AWS Lambda, and implemented an AI-powered product recommendation engine using Amazon Bedrock to help customers find relevant products faster.","businessValue":"Apotea accelerated the development and deployment of several AI use cases, bringing three of them into production within 3 months, and since deployment Apotea's conversion rate for product recommendations has increased by over 600 percent.","evidence":{"band":"high"},"sourceUrl":"https://aws.amazon.com/solutions/case-studies/apotea/","dates":{"publishedAt":"2026-09-24T05:49:16.158Z","publishedAtSource":"pipeline","updatedAt":"2026-09-24T05:49:16.158Z"},"license":"Open for reading and citing with a link to https://findausecase.com/use-cases/apotea-uses-aws-to-build-a-scalable-ai-platform-and-reinvent-the-future-of-ecommerce. Bulk republication requires permission."}