inventory-analytics

Prime Stock allows businesses to monitor products and parts as they move from suppliers to warehouses, between multiple warehouse locations, and finally to retail outlets or directly to customers.

📊 Professional Looker Studio dashboard for SwiftAuto Traders - Automotive sales & service analytics 🎯 Dual-dashboard solution: Sales Performance + Service Operations with 6+ integrated datasets 🏆 IBM BI Analyst Certified Project | Real-time dealer profit tracking & customer sentiment analysis 🔧 $X.X million profit tracking.

Power BI pharmacy analytics: star schema + 25 DAX measures surfacing revenue concentration, stockout & expiry risk.

A comprehensive data analytics case study simulating Zepto's inventory operations. This project showcases SQL driven data cleaning, demand forecasting, revenue modeling, and inventory optimization delivered with precision and depth.

End-to-end retail demand forecasting and inventory risk intelligence project using Python, LightGBM, ensemble modeling, and Power BI.

Automated management reporting solution that streamlines sales reporting, inventory monitoring and operational KPI tracking using Excel.

Enterprise Power BI supply-chain control tower for inventory, suppliers, procurement, logistics and warehouse KPIs using SQL, Power Query, advanced DAX, RLS and Power BI Service.

Warehouse analytics for state excise depots. Reads a stock spreadsheet in the browser and returns KPIs, a storage plan and ranked actions. No upload, no server, no account.

AI-powered Retail Intelligence & Demand Forecasting Platform. Predicts 30-day unit sales velocity, stockout risks, and capital-locked inventory using XGBoost & Machine Learning.

Built an interactive Excel-based inventory dashboard using PivotTables, charts, slicers, and conditional formatting to monitor stock levels, reorder status, and supplier-wise performance across warehouses. Enabled 30% faster analysis and reporting through real-time, data-driven visualizations for supply chain decisions.

End-to-end supermarket inventory and supplier risk analysis using Azure, Microsoft Fabric, PySpark, SQL and Power BI.

End-to-end E-Commerce Sales, Inventory & Business Analytics platform using Python, Pandas, SQL, MySQL, Pytest, Matplotlib & GitHub Actions.

Supply Chain & Inventory Analytics — pipeline end-to-end (40 SKUs, 5 WH, 8 suppliers): turnover, DIO, stockout, lead time & Inventory Health Score. Streamlit + Plotly. No ML.

Stock/inventory dashboard data model & BigQuery pipeline — WOI, alert status, channel-symmetric reconciliation (Power BI / Looker Studio). Sanitized showcase.

Power BI decision case for commercial performance, discount pressure and inventory replenishment using PBIP, TMDL, DAX and Power Query.

ProAOG — Aviation Data Science Capstone: LSTM modeling for B787/A350 component failure prediction.

A comprehensive HTML, CSS, and Vanilla JavaScript inventory and warehouse management system web template for managing products, warehouses, stock movements, suppliers, purchase orders, transfers, inventory alerts, analytics, and reports.

Visualizing retail revenue, customer segmentation, and seasonal trends through SQL-driven analysis and Tableau.

Supply chain analytics project using SQL and Power BI for inventory health, stockout risk, overstock exposure, supplier lead times, and warehouse KPIs.

Inventory management and dead stock risk prediction system using Python, MariaDB, Pandas, Matplotlib, and Tkinter.