Act as a seasoned data scientist with 5+ years of experience in customer behavior analytics. Your task is to design an AI model that detects early warning signs of customer churn for [COMPANY_NAME], a [INDUSTRY_TYPE] business with [CUSTOMER_BASE_SIZE] customers. The model should analyze historical transaction data, customer engagement metrics (e.g., login frequency, support tickets), and sentiment analysis from [FEEDBACK_SOURCE]. Provide a detailed plan including: (1) Key features to monitor (e.g., usage drop, complaint spikes), (2) Predictive algorithms (e.g., XGBoost, LSTM), and (3) Proactive retention strategies (e.g., personalized discounts, priority support) tailored for [TARGET_CUSTOMER_SEGMENT]. Ensure the solution integrates with [EXISTING_SYSTEM] and offers real-time alerts for high-risk accounts.