Enterprise Resource Planning (ERP) systems, particularly the Sales and Distribution (SD) module, are vital for managing the end-to-end order-to-cash process. However, traditional ERP setups often face challenges such as manual order processing, outdated customer segmentation, inaccurate demand forecasting, pricing errors, delivery delays, and poor master data quality. These issues result in inefficiencies, revenue leakage, and poor customer experience. The integration of Artificial Intelligence (AI) and Machine Learning (ML) is transforming ERP SD by automating repetitive tasks, improving data accuracy, and enabling predictive capabilities. AI models enhance demand forecasts, personalize customer segmentation, detect pricing anomalies, optimize deliveries, and cleanse master data in real-time. This shift not only drives operational efficiency but also empowers businesses with smarter, data-driven decision-making.