ShopNest is a complete multi-vendor marketplace for launching an online store where many sellers list their products and customers buy from all of them in one place.



One API
Services you connect with your own accounts, on a .NET 10 and SQL Server core.

The package includes a Docker database setup, a one-command database installer and a full demo catalog, so the whole system can be running on your computer within minutes.
Each seller has a store, products and a login to the panel that shows only their own data.
RTL support, plus translatable products, categories, brands, pages and interface text.
Colour and size, each with its own SKU, price and stock, generated automatically from attribute sets.
Stripe card payments (Stripe Checkout) and Cash on Delivery.
Shipping rates, automatic shipment creation and background tracking updates.
Browse and add to cart without an account; the cart moves to the account on login.
Emailed to the customer and downloadable from the app and website.
Banners, Featured, Just Landed, Popular, On Sale, New Trends, plus Most Viewed.
Per-module read, write and delete rights.
Orders, sales, products, stock and customers with Excel and PDF export.
In the app, and a modern orange-and-navy brand theme on every platform.
Seller accounts log in to the same panel and see only their own products, orders and dashboard.
Token-based client access (JWT, HS256), language and currency options on catalog endpoints, and one response format for every call.
Domain / Application / Infrastructure / Service, with the Repository + Unit of Work pattern and dependency injection.
A clean layered architecture and a README for each project, so AI coding tools can read, extend and rebrand ShopNest quickly.
The package includes a Docker database setup, a one-command database installer and a full demo catalog, so the whole system can be running on your computer within minutes.
One-click demo login pills on every login screen (can be switched off for production).
App, website, panel and API, running on your computer within minutes with Docker and the one-command installer.