📦 Smart Inventory Forecasting System

AI-Powered Demand Prediction (React + Python + Machine Learning)

---

🚀 Overview

The Smart Inventory Forecasting System predicts future product demand using historical sales data and machine learning.

It includes:

• 📊 Demand forecasting (1–12 weeks)
• 📈 Historical sales charts
• 🔍 Peak & average demand insights
• ⚠ Demand level alerts
• 🤖 ML model using XGBoost

---

🧠 Features

✅ AI-Based Forecasting

Predict future demand week-by-week with high accuracy.

✅ Product Selection

Choose a product to instantly generate custom forecasts.

✅ Beautiful Interactive Charts

• Line chart for historical sales
• Bar chart for forecast output

✅ Key Metrics

• Total Predicted Demand
• Average Weekly Demand
• Peak Demand
• Demand Level Indicator

✅ Responsive & Clean UI

---

🛠 Tech Stack

Frontend

• React.js
• Recharts
• Axios
• Custom UI Components
• CSS

Backend

• Python
• FastAPI / Flask
• Pandas
• NumPy
• XGBoost

---

📂 Project Structure

---

▶ How To Run Locally

Frontend

cd frontend npm install npm start

Backend

cd backend pip install -r requirements.txt python main.py

Open App

http://localhost:3000

---

🔮 Future Improvements

• Auto restocking suggestions
• Multi-product forecasting
• SQL database integration
• Improved ML accuracy

---

👤 Author

Shreya Singh – Smart Inventory Forecasting System (2025)

---

⭐ Support

If you like this project, please give it a star ⭐ on GitHub!