Developed a robust e-commerce platform using Next.js, focusing on performance, scalability, and user experience. The platform leverages server-side rendering (SSR) to ensure fast load times and improve SEO, while client-side rendering (CSR) enables smooth transitions between pages.

For the backend, integrated Payload CMS to provide a flexible and fully customizable admin panel, empowering non-technical users to manage product listings, inventory, orders, and customer information efficiently. The CMS supports dynamic updates, providing real-time control over site content without needing to modify the core codebase.

Employed GraphQL for precise querying and mutation of data within MongoDB, enabling optimized communication between the frontend and backend. This allowed for reduced data transfer and more efficient handling of complex queries, enhancing both performance and responsiveness. The use of MongoDB ensured scalability for storing large datasets, such as product details and customer interactions, while providing robust indexing and query performance.

Gained in-depth experience in Next.js architecture, API route handling, data fetching methods (SSG, ISR, SSR), and system design, contributing to a scalable and maintainable e-commerce platform. Successfully managed user authentication, product filtering, and order management, laying the groundwork for a fully functional online storefront with a smooth shopping experience for customers.

GitHub - ayushhunt/e-commerce-nextjs-cms

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GitHub Repository