Prateek Sharma

🛍️ Demand-Forecast - Forecast Demand with Ease

✨ Overview

Demand-Forecast is an AI-powered web application designed to help retail businesses predict demand and optimize inventory. This comprehensive tool offers insights into sales trends and helps you make informed business decisions.

🚀 Getting Started

To begin using Demand-Forecast, follow these easy steps to download and set it up on your device.

📥 Download & Install

1. Visit this page to download: Demand-Forecast Releases.
2. Choose the latest version available.
3. Download the file that suits your operating system (Windows, macOS).
4. Once downloaded, locate the file in your computer’s Downloads folder.

📂 Running the Application

1. Double-click the downloaded file to start the installation.
2. Follow the on-screen instructions to complete the setup.
3. After installation, you can launch the application from your desktop or applications folder.

🏠 Home Dashboard

When you run the application, the first thing you’ll see is the Home Dashboard. This area provides essential insights at a glance:

• Real-time KPIs: Understand your total sales, growth rates, and top-performing products.
• Interactive Charts: Explore sales trends and product performance with visual data.
• Modern UI: Enjoy a clean and beautiful interface designed for ease of use.

📤 Data Upload & Management

To get started with demand forecasting, you’ll need to upload your data.

1. Navigate to the Data Management section.
2. You can upload data from multiple sources:
   • Custom CSV upload
   • Preloaded Rossmann dataset
   • Sample data provided for testing
3. The application automatically checks your data for errors, ensuring all columns and formats are correct.
4. Use the preview functionality to check your data before processing.

🔮 Sales Forecasting

Once your data is uploaded, you can generate forecasts:

1. Go to the Sales Forecasting section.
2. Choose from various machine learning models:
   • Random Forest
   • XGBoost
   • LightGBM
   • Prophet
3. Configure advanced settings for your forecast, such as:
   • Feature selection to tailor your model
   • Confidence levels to assess prediction accuracy
   • Date ranges to specify your forecast horizon
4. Visualize your results interactively to compare actual versus predicted sales.
5. Don’t forget to export your forecasts as CSV files for reporting or further analysis.

📦 Inventory Management

Managing your inventory effectively is key to maximizing sales:

1. The Inventory Management module provides smart recommendations based on forecasted demand.
2. Adjust stock levels according to the predictions to minimize overstock or stockouts.

💡 Tips for Effective Use

• Keep your data clean and updated for the best results.
• Regularly check for updates on the Demand-Forecast Releases page to take advantage of new features and improvements.
• Engage with the community for support and best practices.

🌟 Support

If you have any questions or need help, you can reach out through the issues section on the GitHub repository. The community is here to assist you in getting the most out of Demand-Forecast.

📈 Future Updates

Stay tuned for future enhancements that will include more machine learning models and features for deeper insights into your retail operations. Your feedback plays a crucial role in shaping these developments.

For more information, always feel free to check the project page and the documentation available on the GitHub repository. Thank you for choosing Demand-Forecast!