
AI improves customer satisfaction through Supply Chain management by replacing reactive, average-based planning with anticipatory, probabilistic planning that continuously updates as demand and supply conditions change. On the demand side, AI-driven forecasting detects shifts within days rather than weeks, allowing replenishment to respond before availability is affected. On the inventory side, AI sizes buffers to actual demand risk per SKU per location rather than applying blanket safety stock rules, releasing working capital where risk is low while protecting availability where it is high. On the supplier side, AI-enabled collaborative planning shares updated forecasts automatically as plans evolve, reducing the lead time variability that is one of the primary drivers of stockouts.