Yannick Mariman
I'm Yannick Mariman, a data engineer working at Pipple, working with IKEA to build an improved Retail Planning platform. Earlier in my career, I saw good data solutions failing because of a lack of proper workflows and orchestration. This led me to become more interested in tangible solutions that focus on robustness and stability.
Session
At IKEA, retail planning is a complex chain of processes, from sales forecasting to fulfillment and capacity assessment, that involve multiple teams. Each team builds their own predictive models independently, yet their outputs depend on one another to ensure a concise planning chain.
In this talk, we will show how IKEA uses Metaflow, an open-source framework for building and managing real-life ML, to orchestrate and connect the forecasting pipelines for more than thirty countries. We’ll discuss how Metaflow helps align independent teams, improve readability, and enable reproducible workflows and scale.
You will leave with practical approaches for an aligned team workflow and concrete patterns for orchestrating ML/AI pipelines.