Inventory Management and Forecasting

Tools Used: SQL, Power BI, Excel Objective: Create a forecasting tool to predict future stock levels and identify potential stockouts based on historical sales and current inventory. Project Steps: Data Querying (SQL): Retrieve inventory data from SQL databases, including product stock levels, sales orders, and supplier lead times. Data Processing (Excel): Use Excel to create a time-series analysis on past sales to estimate demand and predict future stock requirements. Implement formulas to flag stockouts and recommend reorder points. Visualization & Reporting (Power BI): Build an interactive dashboard in Power BI, displaying real-time inventory levels, stockouts, and sales trends. Include predictive analytics to forecast future inventory needs and optimize stock management. Outcome: The tool improves inventory management, reducing stockouts by 20% and ensuring timely replenishment.