Zalando Science
Welcome to our Zalando Science blog. Our posts focus on the research and applied science work at Zalando.
Paper Announcement: A Practical Approach to Replenishment Optimization with Extended (R, s, Q) Policy and Probabilistic Models
Learn how the ZEOS replenishment optimization system achieves up to 22.1% GMV uplift by unifying probabilistic... Read more...
Alva Presbitero
Senior Applied Scientist
Andreas Syrén
Senior Principal Applied Scientist
Hagop Dippel
Applied Science Manager
Lalita Awasthi
Junior Machine Learning Engineer
Shikhar Dev
Senior Machine Learning Engineer
Zhe Nie
Senior Applied Scientist
Jan 15
2026
Building a dynamic inventory optimisation system: A deep dive
This technical blog outlines how we built a scalable inventory optimization system to help partners maintain a... Read more...
Alva Presbitero
Sr. Applied Scientist
Andreas Syren
Pr. Applied Scientist
Hagop Dippel
Applied Science Manager
Lalita Awasthi
Jr. ML Engineer
Shikhar Dev
Sr. ML Engineer
Zhe Nie
Sr. Applied Scientist
Jun 30
2025
Exploring the Potential of Graph Neural Networks to Transform Recommendations at Zalando
Delivering personalized recommendations is key to engaging Zalando’s customers, but traditional models can miss the... Read more...
Mariia Bulycheva
Senior Applied Scientist
Dec 19
2024
Paper Announcement: Leveraging Multimodal LLMs for Large-Scale Product Retrieval Evaluation
Sharing our latest research paper on leveraging LLM-as-a-Judge for scalable, multimodal relevance assessment in... Read more...
Kasra Hosseini
Senior Applied Scientist
Nov 15
2024
Paper Announcement: Joint Order Selection, Allocation, Batching and Picking for Large Scale Warehouses
Sharing our latest research paper on warehouse order batching. Read more...
Julius Pätzold
Applied Scientist
Jan 29
2024
Applied Methods from Mathematical Optimization and Machine Learning in E-commerce
Report from a workshop hosted by Zalando in October 2022 Read more...
Amin Jorati
Applied Scientist
Torsten Gellert
Senior Applied Scientist
Feb 21
2023
Zalando's Machine Learning Platform
Architecture and tooling behind machine learning at Zalando Read more...
Krzysztof Szafranek
Senior Software Engineer
Apr 19
2022
Tuning Image Classifiers using Human-In-The-Loop
We present an Expectation–Maximization (EM) algorithm for iteratively estimating the optimal class-confidence... Read more...
Paul O'Grady
Senior Applied Scientist
Oct 13
2021
Space efficient machine learning feature stores using probabilistic data structures - a benchmark
In this post, we describe a technique for providing machine learning feature stores with sublinear space... Read more...
Enno Shioji
Head of Engineering
Oct 05
2021
Zalando Research Releases “Flair”
Open sourcing machine learning research for natural language processing (NLP) Read more...
Per Ploug
Open Source Community Manager
Alan Akbik
Research Scientist
Nov 22
2018