Nike uses an AI-powered demand forecasting system, built on technology from its 2019 acquisition of Celect, to predict which products shoppers will want, in which locations, and at what times. This system helps Nike decide where to position inventory across its global network to reduce waste and improve fulfillment speed.

Celect's cloud-based platform uses proprietary machine learning algorithms to generate hyper-local demand predictions by analyzing historical sales data, market trends, seasonal factors, and external variables. Nike's CFO confirmed on an earnings call that the company uses 'predictive modeling tools' and 'inventory staging' to optimize operational efficiency. Sources report the system compressed Nike's inventory prediction cycle from a six-month process to approximately 30 minutes. The AI input is sales data, consumer behavior signals, inventory levels, and market variables; the output is location-specific predictions of future product demand used to position stock ahead of time.