AI Demand Forecasting: How It Works, Benefits, and Use Cases
AI demand forecasting uses machine learning to predict how many units of each product customers will buy, where and when. This guide explains the seven-step process, the model families from exponential smoothing to TimesFM and Chronos-2, what Walmart’s M5 competition proved (22.4% more accurate than the best benchmark), the benefits, accuracy metrics, a worked safety stock example, use cases by industry, platform choices, UK cost bands and a 90-day rollout plan.
