Three years ago, our merchandising team watched helplessly as thousands of units of a trending denim style sat in distribution centers while our top-selling floral prints sold out within days. We had the wrong inventory in the wrong places at the wrong time. The markdowns cost us nearly 40% of our gross margin that quarter, and our GMROI plummeted. That painful season taught us something critical: human intuition alone, no matter how experienced, cannot process the volume and velocity of signals that drive customer demand in modern fashion retail. We needed a fundamental shift in how we approached demand forecasting, and that shift came through artificial intelligence. The journey to implementing AI-Driven Demand Forecasting transformed not just our inventory performance but our entire approach to merchandising strategy. What started as a pilot program to reduce overstock became a comprehensive reimagining of how we plan assortments, manage weeks of supply, and execute in-season refor...