AI powered retail intelligence platform for demand forecasting, inventory optimization, explainable AI, and automated business insights, built with React, FastAPI, Python, MySQL, Redis, Celery, and Docker.
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.
Machine Learning-powered Demand Forecasting and Inventory Optimization system using XGBoost, Streamlit, and MLflow. Forecasts future demand, calculates safety stock and reorder points, and provides interactive dashboards to support data-driven supply chain decisions.
Our Healthcare Inventory Forecasting solution uses AI-driven models to optimize inventory, reduce stockouts, and prevent overstocking in healthcare. It integrates data from sales and market trends, using ARIMA and VAR models for precise demand forecasting. With automation from OpenAI, Power BI visualizations, and chatbot support, the system enhanc
AI-powered S&OP demand forecasting system with Prophet, LightGBM, inventory optimization, and Claude AI copilot
Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials. Predictive Analytics for Retail Demand Forecasting leverages AI to analyze sales trends and market data, enabling accurate demand predictions, optimized inventory management, and improved retail profitability.
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