Smart Inventory Management

This full-stack AI-powered inventory management system predicts product demand and automates restocking decisions—ideal for businesses seeking modern solutions without complex ERP systems.

Built with a deep learning LSTM model, the system forecasts inventory needs up to 30 days ahead and provides intelligent alerts to help avoid both stockouts and overstocking. The intuitive dashboard and automation workflows make this tool practical, scalable, and highly impactful.

🧠 Key Features

• Real-time demand forecasting (up to 30 days ahead)
• Smart reorder alerts based on predicted trends
• Live stock level tracking with anomaly detection
• Interactive, user-friendly dashboard UI

🎥 Demo Video

🛠️ Tech Stack

• Python (Flask) – Backend and logic
• LSTM (Keras) – Demand forecasting model
• HTML, CSS, JavaScript – Responsive frontend
• Google Sheets API / local DB – Data integration

🚀 Outcome

This project simulates how small-to-medium businesses can intelligently automate inventory control, optimize stock levels, and enhance supply chain decisions with deep learning—without relying on costly ERP platforms.

Discuss Inventory Automation