Act as a seasoned data scientist with 10+ years of experience in ecommerce demand forecasting. Your task is to develop an AI model that predicts seasonal demand spikes for [PRODUCT CATEGORY] in [REGION]. Use historical sales data, weather patterns, and [SPECIFIC MARKET TRENDS] as inputs. Ensure the model accounts for anomalies such as unexpected promotions or global events. Provide actionable insights on inventory management, pricing strategies, and marketing campaigns to capitalize on predicted spikes. Include a detailed step-by-step explanation of the model’s architecture, training process, and validation metrics. Highlight how this solution can reduce stockouts, minimize overstock, and increase profitability for [E-COMMERCE PLATFORM].