AI traditional-market shopping O2O platform
MVP
장보러가게 (Jangborugage)
An AI-guided O2O platform for traditional-market shopping
An AI-powered O2O curation platform connecting traditional markets and shoppers. It recommends markets and shops from a shopping list, then connects ordering, payments, real-time status, and merchant insights in one flow.
How it's built
Built to MVP level with FastAPI, React, PostgreSQL/PostGIS, Redis, and Celery, covering location-based discovery, an AI shopping assistant, merchant dashboards, and SSE-powered order updates.
AI traditional-market shopping O2O platform
Jangborugage at a glance
Jangborugage is an AI-based traditional-market O2O curation platform designed to connect shopping-list-based market and shop discovery with the ordering flow.
- Published by
- SMK Labs
- Last updated
Jangborugage frequently asked questions
- What happens after a shopper enters a shopping list?
- The published MVP scope connects item-based market and shop suggestions with location-based discovery, maps, ordering, payments, and real-time order-status updates.
- Does Jangborugage include tools for merchants?
- The current product description includes order management, sales and cancellation statistics, market trends, data-informed operational suggestions, and product-image management.
- What stage is Jangborugage at now?
- The core MVP features have been built, and the project is preparing for pilot validation.