Inventory distortion; stockouts and overstocks costs retailers $1.1 trillion globally every year in lost sales and markdowns. – RetailWire. Traditional demand forecasting, which depends on historical sales and rigid assumptions, struggles to keep pace with today’s volatile markets and rapidly changing customer behavior. Machine learning (ML) is closing this gap. By analyzing vast volumes of … Continue reading Machine Learning in Demand Forecasting: A Game Changer for Modern Businesses T...
