SmartLife 365: A CRM-Integrated AI Framework for Predictive Preventive Healthcare and Lifestyle Risk Analysis

Preventive healthcare has become increasingly important due to the rapid rise in lifestyle-related disorders and unhealthy food consumption habits. Traditional healthcare monitoring systems mainly depend on manual tracking methods and isolated disease prediction models. This review paper presents SmartLife 365, a CRM-integrated artificial intelligence framework designed for predictive preventive healthcare and lifestyle risk analysis. The framework combines machine learning algorithms, nutritional intelligence systems, Microsoft Power Platform technologies, and automation workflows for intelligent healthcare monitoring. The proposed system integrates Open Food Facts API, Microsoft Dataverse, Power Automate, Power BI, and machine learning models such as Random Forest, Decision Tree, Logistic Regression, and XGBoost to generate predictive health-risk analysis and personalized preventive awareness. This paper critically reviews existing research related to predictive healthcare analytics, CRM-based healthcare systems, and AI-driven preventive healthcare technologies. The proposed framework aims to support intelligent automation, real-time risk prediction, and personalized health engagement using low-code technologies and machine learning integration.