Jay Kakkar is a software engineer on Walmart’s Smart Forecasting Team. He comes from UC Berkeley where focused on statistics and machine learning theory and was a teaching assistant.
May 27, 2021 05:00 PM PT
The SMART Forecasting team at Walmart Labs has built an innovative, cloud-agnostic, scalable platform to improve Walmart’s ability to predict customer demand while improving item in-stocks and reducing food waste. Over a period of two years, all of Walmart’s key departments in the US, Canada and Mexico have adopted our forecasting solution with planned extensions to other Walmart operated international markets. Over 100M store-item combinations are forecasted every week for the next 52 weeks. We continue to enhance our modelling suite for COVID impact, pricing in international markets, and weekend sales corrections. We will present a general overview of our scaled forecasting solution and follow it by a concrete use case for in week adjustments which provides consistent business value for produce and is currently in the process of being scaled out to more Walmart departments.