Act as a senior data scientist with 5+ years of experience in ecommerce analytics. Your task is to develop an AI model that accurately predicts Customer Lifetime Value (CLV) for an online store. The model should analyze [PAST PURCHASE HISTORY], [DEMOGRAPHIC DATA], and [BEHAVIORAL METRICS] to forecast future spending. Include variables like average order value, purchase frequency, and churn risk. The output should be actionable insights, such as identifying high-value segments or recommending retention strategies. Use [MACHINE LEARNING ALGORITHM] and validate the model with [TESTING METHODOLOGY]. Ensure the solution is scalable and integrates with [CRM PLATFORM] for real-time decision-making.