🚀 Launch your high-performance Shopify storefront in minutes, not weeks, with this Next.js commerce starter. Leverage the power of Vector Search and AI to deliver a superior online shopping experience without the development headaches.
Run this command and let our CLI do the job or see our documentation for manual setup instruction.
$ yarn create commerceEach starter is a combination of commerce platform and search engine. While each starter follows very similar features crucial for every storefront, they may be different therefore we recommend checking the documentation for each starter.
In Enterprise Commerce high-level architecture, Search Engine serves as the primary source for all product data and potentially other types of data in the future. The system is designed to easily integrate AI personalization tools without needing to modify any frontend code. While we are integrated with Shopify by default, we are not tightly bound to it, you can use any commerce platform and adapt data to our format.
At Blazity, we prioritize speed. Enterprise Commerce is meticulously crafted to deliver top-notch performance for your online store.
Lighthouse scores offer a valuable comparison tool, but they don’t directly translate to SEO or user experience (UX). For a true picture, prioritize real user data. Tools like CrUX or Vercel Speed Insights provide user-based performance metrics, ensuring your online store delivers a seamless experience for your customers.
Contributions are always welcome! To contribute, please follow these steps:
- Fork the repository.
- Create a new branch with a descriptive name.
- Make your changes, and commit them using the Conventional Commits format.
- Push your changes to the forked repository.
- Create a pull request, and we'll review your changes.
If you're looking for help or simply want to share your thoughts about the project, we encourage you to join our Discord community. Here's the link: https://blazity.com/discord. It's a space where we exchange ideas and help one another. Everyone's input is appreciated, and we look forward to welcoming you.
This project is licensed under the MIT License. For more information, see the LICENSE file.
