Logisense

Overview

Logisense is a comprehensive warehouse management solution that leverages data-driven approaches and machine learning to optimize inventory operations. The system automates data collection, provides intelligent demand forecasting, and offers real-time insights through an intuitive interface.

Features

• 📊 Automated data collection and preprocessing pipeline
• 🤖 Machine learning-powered demand forecasting
• 📈 Real-time inventory tracking and management
• 👥 Role-based access control system
• 📱 Interactive web interface
• 📦 Containerized deployment
• 🔄 Automated stock level monitoring
• 📊 Custom dashboards for different user roles

Tech Stack

• Backend: Python
• Frontend: Streamlit
• Database: PostgreSQL
• ML Components: Prophet (Time Series Forecasting)
• Visualization: Matplotlib
• Deployment: Docker
• Version Control: Git

Architecture

The application follows a layered architecture:

• Presentation Layer (UI/UX)
• Business Logic Layer
• Data Access Layer
• Data Storage Layer

Key Components

1. Data Processing Engine

   • Automated data collection
   • Data cleaning and preprocessing
   • Historical data management

2. Forecasting System

   • Time series analysis
   • Demand prediction
   • Inventory optimization

3. User Interface

   • Role-specific dashboards
   • Real-time data visualization
   • Inventory management tools

4. Security

   • Role-based access control
   • Secure data handling
   • Authentication system

Checkout the Demo 🔗

https://youtu.be/asuVUGcNBTM

Getting Started

# Clone the repository
git clone https://github.com/wided-abdallah/LogiSense

# Navigate to project directory
cd logisense

# Install dependencies
pip install -r requirements.txt

# Run the application
streamlit run LogiSense/Template/Home.py

## Contributing
Contributions are welcome! Please feel free to submit a Pull Request.