Blue Yonder uses machine learning to predict how much of each product retailers and manufacturers will need — at a specific store, on a specific day — by analyzing hundreds of variables simultaneously, including weather, local events, and sales history. The technology rebuilds its forecasts every day using the latest sales data and traces back to the original Blue Yonder AI acquired in 2018.

Unlike traditional forecasting that manually layers factors onto a baseline, Blue Yonder's machine learning engine — software that learns patterns from historical data — analyzes the relationships among many variables at once and self-corrects daily against real sales outcomes. The next-generation Cognitive Demand Planning product, launched in 2024 as a cloud-native SaaS offering, adds autonomous scenario planning: the AI narrows thousands of possible futures down to a realistic shortlist, evaluates each, and recommends top options, while human planners set boundary values and make final calls. Customer outcomes include a 20% inventory reduction at Super Retail Group and improved forecast accuracy at HEINEKEN.