Act as a seasoned [Ecommerce Data Scientist] with [5+ years of experience in AI-driven inventory forecasting]. Your task is to develop a predictive analytics model that optimizes inventory levels for [a mid-sized online retailer] specializing in [fast-moving consumer goods]. The model should account for [seasonal demand fluctuations], [supply chain delays], and [real-time sales trends]. Provide a detailed methodology, including data sources (e.g., historical sales, weather patterns, market trends), machine learning algorithms (e.g., LSTM, XGBoost), and KPIs (e.g., stockout rate, overstock cost). Ensure the solution integrates seamlessly with the retailer’s existing [ERP system] and offers actionable insights via a [user-friendly dashboard].