Hopsworks AB says Zalando uses its AI Lakehouse technology for feature management, model operations, vector search, and real-time personalization across the retailer’s fashion platform.
Hopsworks AB said Zalando runs parts of its AI infrastructure on Hopsworks’ European AI Lakehouse technology, including systems for feature management, model operations, and vector-based retrieval.
In a GlobeNewswire-distributed announcement published by Hopsworks AB, the company described Zalando’s setup as an “AI Lakehouse” combining a feature store, model registry, and vector database. Hopsworks said the infrastructure supports batch, real-time, and agentic inference workflows.
The announcement positions the deployment as an example of European technology supporting a major European online retailer. Hopsworks describes Zalando as “Europe’s largest online retailer,” while its own customer materials more specifically describe Zalando as “Europe’s largest online fashion platform.”
Hopsworks’ customer story for Zalando says the retailer uses Hopsworks to support real-time personalization across 25 countries and 50 million customers. According to Hopsworks, Zalando’s use case includes low-latency feature serving and Kubernetes-based infrastructure.
The Hopsworks materials describe the platform as bringing together several components that are commonly used in production AI systems. A feature store manages reusable data inputs for machine-learning models. A model registry tracks model versions and metadata. A vector database supports retrieval over embeddings, which can be used in recommendation, search, and generative AI applications.
Hopsworks says its technology is used by Zalando across batch and real-time settings. Batch workflows typically process large volumes of data on a schedule, while real-time systems serve predictions or data features quickly during user interactions. The Hopsworks customer story emphasizes low-latency serving, which is important for personalization features that must respond while shoppers browse.
The company also refers to “agentic inference workflows” in its announcement. Hopsworks does not provide detailed public benchmarks in the cited announcement, so claims about the performance or business impact of those workflows should be read as vendor-provided descriptions rather than independently verified results.
Hopsworks’ public customers page lists Zalando as a customer and says the fashion platform uses Hopsworks for real-time personalization across 25 countries and 50 million customers. The dedicated Zalando customer story provides similar figures and adds that the infrastructure is Kubernetes-based.
The sources available for this report are Hopsworks’ own announcement and Hopsworks’ customer pages. They establish that Hopsworks publicly claims Zalando as a customer and describes the use of its technology in Zalando’s AI infrastructure. They do not include an independently published statement from Zalando in the provided materials, nor do they provide third-party technical validation of the deployment.
The announcement reflects a broader enterprise AI pattern: large retailers are assembling infrastructure that can serve recommendation, personalization, search, and generative AI use cases from shared data and model-management systems. For a retailer such as Zalando, real-time personalization requires systems that can combine customer, product, and behavioral data quickly enough to affect the shopping experience.
It also highlights the role of European AI infrastructure suppliers in the region’s retail technology market. Hopsworks, in its GlobeNewswire announcement and customer materials, frames the Zalando deployment as an example of European technology supporting large-scale AI operations for a European commerce company.
Because the available sources are vendor-authored, the most supportable conclusion is limited: Hopsworks says Zalando uses Hopsworks technology for AI infrastructure, including feature serving, model management, vector data capabilities, and real-time personalization. Further details on the exact architecture, spending, measurable performance gains, or Zalando’s internal evaluation were not provided in the cited sources.
Hopsworks AB said Zalando runs parts of its AI infrastructure on Hopsworks’ European AI Lakehouse technology, including systems for feature management, model operations, and vector based retrieval.
Hopsworks said the infrastructure supports batch, real time, and agentic inference workflows.
The announcement positions the deployment as an example of European technology supporting a major European online retailer.
Continue reading
