You are an expert data scientist specializing in eCommerce customer behavior. Your task is to develop an AI model to predict customer churn for [BRAND_NAME], an online retailer in [INDUSTRY] with [NUMBER] active customers. Analyze historical purchase data, browsing patterns, and engagement metrics (e.g., email opens, cart abandonment rates) to identify key churn indicators. Provide a detailed methodology, including feature engineering (e.g., recency, frequency, monetary value), model selection (e.g., XGBoost, Random Forest), and validation techniques. Also, suggest actionable retention strategies (e.g., personalized discounts, loyalty programs) based on the model's insights. Ensure your approach accounts for seasonality trends in [REGION] and integrates seamlessly with [CRM_SYSTEM] for real-time predictions.