The infographic explains how replenishment planning has shifted from relying solely on historical demand forecasts to using real-time demand sensing powered by AI. Traditional demand planning focuses on medium- to long-term forecasting using historical sales data and aggregate product categories, while replenishment planning operates in the short term and requires highly granular, real-time insights across items, locations, channels, and customers. E2open Demand Sensing combines forecasts, inventory data, orders, shipments, point-of-sale information, and demand signals to help replenishment planners make faster and more accurate decisions. The solution improves near-term forecast accuracy by 30–40%, reduces extreme forecast errors by 50%, and doubles forecast value-added. By leveraging AI

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