Uncover how bol's data science team reimagined logistics forecasting by building a sustainable data foundation. Instead of quick fixes, they restructured workflows, embraced monotasking, and aligned their codebase with evolving needs. This journey offers insights and lessons for anyone curious about strategic data engineering.
Fast is slow, slow is fast - rethinking Our Data Engineering ProcessJoin us as we chat with Robin, a data scientist from bol.com, who shares how his team tackled complex data pipeline challenges by using layered approaches and innovative solutions like Apache Airflow. Robin makes it easy to understand by comparing data workflows to baking bread (yes, really!) and highlights how his team built a robust, reliable system to handle critical logistics data for bol.com.
Tips for Data EngineeringIn the beginning of August, data science teams at bol.com came together for a dynamic two-day datathon. Collaborating with different teams from different disciplines, their mission was to re-imagine how we discover similar products. This innovative approach involved combining the insights of text (titles/descriptions) and images. To achieve this, they converted both text and image data into vectors and then find similar products by for example using a Faiss index and other.
Product Catalog Hackathon with Ai RecapAt bol.com we believe Site Reliability Engineering (SRE) is the best way to balance product innovation and reliability. In essence it’s a particular set of standards, tools and practices that govern how you balance Dev and Ops in a DevOps software engineering team. But when should SRE teams be happy?
When is our SRE team successful?Chantal Schinkels, author of the Book "The IT Girl", is about to release her second book. It's called "The buying drip" or in Dutch "Het Koopinfuus". We have the scoop with her to dive into this book.
The Buying Drip - A scoop of the 2nd book of Chantal SchinkelsOrder Sourcing Simulation is needed to enable capacity steering over our warehouses, network of sellers and logistical partners. Data Science is used to predict customer behavior and simulate capacity impact.
Order Sourcing Simulation with Data ScienceBringing our warehouse and logistics operations to the Utrecht bol.com campus by Google Glass.
Google Glass at bol.com: A different way of looking at TechnologyTesting the boundaries of the technology that we have today and having the opportunity to put a Google Glass on and experience operating in a pop-up Warehouse. Those were the results of a joint experiment by Google and bol.com.
Demo-time; Google Glass capabilities in a pop-up WarehouseIn a series of videos, we would like to showcase how Data Science is helping us at bol, our partners, and our customers. Hear the way the DS craft is utilized within the company in various parts of the company by the corresponding product teams/owner themselves! They know best the impact and the improvements of incorporating the discipline in their own products.
Data Science at bol.com - video seriesAt this year's Spaces Summit, I presented a talk onStreamlit: a new web application framework in Python, which is perfect for making data science demos. About the talk As Data Scientists, we often need to quickly prototype ideas and showcase those...
Spaces Talk #6: Making Demos Great Again
