Aiin

AI-Based Inventory Forecasting System Overview AIIN is an AI-powered inventory forecasting tool that predicts sales and demand using historical data. It enables businesses to optimize stock levels, reduce overstocking, and prevent stockouts by providing accurate forecasts and insights. What We Did Built data ingestion pipelines for importing historical sales and inventory records Implemented ML forecasting models using Prophet and scikit-learn Created visual dashboards for demand prediction and inventory health Added export functionality for integration with ERP systems Results Reduced stockouts by up to 40% for early adopters Helped reduce inventory holding costs by 25% Improved demand forecast accuracy by up to 85% Increased reorder efficiency using custom rules engine Core Functions Automated ingestion of sales and inventory data Time-series forecasting using ML models Custom rules for reorder and buffer stock Visual dashboards for inventory trends Key Features Forecasting by SKU, category, and region Confidence intervals and accuracy metrics CSV and API export for external systems