Understanding AI-Driven Demand Forecasting in Fashion Retail In fashion retail, nothing stings quite like watching a hot-selling SKU go out of stock while clearance racks overflow with markdowns. If you've ever found yourself juggling spreadsheets at 2 AM trying to predict next season's demand, you're not alone. Traditional forecasting methods often fail to capture the volatility of fashion trends, leaving merchandisers caught between overstock and stockouts. The good news? AI is changing the game. AI-Driven Demand Forecasting leverages machine learning algorithms to analyze historical sales data, external factors like weather and social media trends, and real-time inventory signals to predict customer demand with unprecedented accuracy. Unlike traditional statistical models that rely on linear patterns, AI can detect complex, non-linear relationships in your data—crucial when you're dealing with fast fashion cycles and rapidly shifting consumer preferences. What Makes AI Forecasting Different?…