Harlley de Lima
Harley is a Machine Learning Engineering at IKEA, where he works on developing data-driven solutions that support and optimize retail planning processes. With a solid foundation in both software engineering and applied machine learning, he enjoys turning complex business challenges into scalable systems that improve decision-making and deliver real impact.
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.