Handmade Products Marketplace
A marketplace where small makers list customised, handmade products with their own delivery schedules, built on .NET Core APIs and Angular, with category templates and product import from Shopify and Etsy.
WeyBeeSmall-scale makers of customised, handmade goods needed a simple place to sell online, and customers needed one place to find them. Each product can be personalised and has its own delivery schedule, which general marketplaces handle poorly.
- Make listing easy for small vendors who are not technical.
- Support very different product types without a new form for each one.
- Let vendors bring existing catalogues over from other platforms.
WeyBee designed the interface from the visual designs and built the marketplace on an Angular front end and ASP.NET Core APIs with Entity Framework Core, hosted on AWS. Admins manage dynamic attributes and category templates, so each category gets the right listing form. Vendors can import products from Shopify and Etsy.
Vendors register and start selling customised products quickly.
Category-based templates and dynamic attributes keep listing simple.
Vendors set delivery schedules for each product.
Products imported from Shopify and Etsy.
Customers and vendors sign in with Google, Facebook or Apple.
AI-ready by design.
Where AI fits next.
Makers list unique products with their own schedules. AI can make listing and discovery effortless.
Draft titles, descriptions and tags from product photos.
Recommend makers and products by taste.
Fix and enrich products imported from Shopify and Etsy.
One to two weeks to pick the use case and prove the data is ready.
- Angular front end and ASP.NET Core REST APIs with JWT authentication.
- Entity Framework Core on MS SQL; hosted on AWS EC2 (Ubuntu).
- Documented API collection for front-end and partner use.
- Small makers get a ready storefront without technical effort.
- New product categories are added through templates, not code changes.
Lab Orders and Payments
Planning something similar?
Tell us what you're building and we'll suggest the right team, engagement model and first AI use case.