Supporting Sales Forecasting at Scale for Canada's Largest Grocery Store

Discover how Loblaw Digital, Canada's largest grocery store chain, implements MLOps for sales forecasting at scale in this 42-minute conference talk from MLOps World: Machine Learning in Production. Learn from Senior ML Software Engineer Mefta Sadat and Senior Data Scientist Cheng Chen as they share their experience setting up an MLOps platform on Google's Vertex AI. Explore the process of tracking different stages of the ML lifecycle using Vertex AI components, including ML Metadata, Pipelines, and Model Training. Gain insights into how Loblaw Digital's internal data science teams rapidly move from exploration to production for various ML systems, including search re-ranking, recommendations, inventory prediction, and forecasting. Understand the challenges and solutions involved in implementing large-scale machine learning systems for real-world business problems in the retail industry.

Supporting Sales Forecasting at Scale for Canada's Largest Grocery Store