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 factors at once, from weather and local events to social media trends. This system, which traces back to the original Blue Yonder technology acquired in 2018, rebuilds its forecasts every day using the latest sales data to continuously improve its accuracy.

Unlike traditional forecasting that starts with a baseline and manually adds factors on top, Blue Yonder's approach uses machine learning — software that learns patterns from historical data — to analyze the relationships among many variables simultaneously. The engine tests its predictions against real sales every day and self-corrects over time. The next-generation Cognitive Demand Planning product, launched in 2024 as a cloud-native SaaS (software-as-a-service) offering, adds autonomous scenario planning: the AI narrows thousands of possible futures down to a realistic shortlist, evaluates them, and recommends top options while human planners set boundary values and make final calls. Customer results include a 20% inventory reduction at Super Retail Group and improved forecast accuracy at HEINEKEN. Research cited by Blue Yonder indicates AI can cut time spent on supply chain planning by up to 50%.