Retail Demand Forecasting & Inventory Optimization Dashboard

This Data Science project provides an end-to-end web application built using Python, Flask, and Scikit-Learn to forecast retail product demand and assist with inventory management decision-making.

Project Overview

The application processes historical sales data (retail_demand.csv), trains machine learning ensemble models to predict upcoming product demand, and visualizes demand trends to streamline supply chain workflows.