Paper Announcement: Joint Order Selection, Allocation, Batching and Picking for Large Scale Warehouses
Sharing our latest research paper on warehouse order batching. Read more...
2024
Applied Methods from Mathematical Optimization and Machine Learning in E-commerce
Report from a workshop hosted by Zalando in October 2022 Read more...
2023
Accelerate testing in Apache Airflow through DAG versioning
In this blog post we present a way to version your Airflow DAGs on a single server through isolated pipeline and... Read more...
2022
Zalando's Machine Learning Platform
Architecture and tooling behind machine learning at Zalando Read more...
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...
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...
2021
A Machine Learning Pipeline with Real-Time Inference
How we improved an ML legacy system using Amazon SageMaker Read more...
2021
Learnings from Distributed XGBoost on Amazon SageMaker
What I learned from distributed training with XGBoost on Amazon SageMaker. Read more...
2020
On the Effectiveness of Online Marketing
Measuring the incremental effect of online marketing to optimize advertising investment Read more...
2019
Tag-based Navigation of a Fashion Catalog
Exploring the Zalando Assortment by Browsing a Product Similarity Graph Read more...
2018