Skip to content

From supply-chain to marketing, weather-related changes have impacted how retailers do business. This project helps fashion retailers better manage their inventories through our short-term demand prediction including weather as an influencing factor.

Notifications You must be signed in to change notification settings

pallavibharadwaj/trendcast

Repository files navigation

Welcome to Trendcast 👋


Exploring the Impact of Weather on Short-time Demand Forecast for Fashion Retailers.
Our Dashboard will predict your inventory requirements with the help of past sales and real-time weather forecast

✨ Demo

Go to the app folder and run:

python app.py

Make sure to install the requirements before you start the flask app.

🚀 Development Setup

Clone the repository:

git clone https://github.com/inderpartap/trendcast.git

Install the application requirements in a linux environment:

pip install requirements.txt

Make sure to add a retail dataset in the data folder to start working.

Columns used in our the dataset are (date, province, city, category, department, class, article, totalSales, totalQuantity)

That's it. You can now start contributing to the project.

Code Contributors

Thanks to the following people who have contributed to this project:

🤝 Contributing

Contributions, issues and feature requests are welcome.
Feel free to check issues page if you want to contribute.
To contribute to Trendcast, follow these steps:

  1. Fork this repository.
  2. Create a branch: git checkout -b <branch_name>.
  3. Make your changes and commit them: git commit -m '<commit_message>'
  4. Push to the original branch: git push --set-upstream origin <branch_name>
  5. Create the pull request.

Alternatively see the GitHub documentation on creating a pull request.

Show your support

Please ⭐️ this repository if this project helped you!


About

From supply-chain to marketing, weather-related changes have impacted how retailers do business. This project helps fashion retailers better manage their inventories through our short-term demand prediction including weather as an influencing factor.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages