The Product Demand Forecasting Solution is a cloud-native predictive analytics ML model that analyzes multiple data points, including historical sales data, inventory data, and growth projections to generate up to 50% more accurate product demand forecasts. The solution is scalable and customizable, allows for manual adjustments. It supports batch (schedule) and real-time forecasting, and it can be integrated through RESTful API. The ML model can be used by small- and midsize retailers to cut overstock/stockouts, optimize inventory, and increase supply chain efficiency