Early 2026, many supply chain teams report AI-powered forecasting delivering 10–40% reductions in warehousing and holding costs (McKinsey Digital benchmarks). One mid-sized retailer slashed inventory carrying costs by nearly 40% on volatile categories by integrating real-time external signals—like weather and social trends—into their models. No more emergency orders or markdowns on dead stock. The secret? AI continuously learns, spotting patterns traditional methods miss, leading to leaner stock levels without risking stockouts. Real companies in fashion, CPG, and manufacturing are seeing millions freed up in working capital. Want the exact numbers, models, and how they did it? Read the full story and 2026 insights here →
 AI-Powered Demand Forecasting in Supply Chain: How to Boost Accuracy by 50% and Slash Inventory Costs