Rabiz AI

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configration
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Inspiration

The core inspiration was eliminating the initial barriers to entry and the ongoing manual labor of running an e-commerce business. We saw entrepreneurs spending 20+ hours/week simply on sourcing, product uploads, and store management. Our goal was to create a truly autonomous system—an "e-commerce business in a box"—that could connect wholesale to retail, handle the workflow end-to-end, and let the entrepreneur focus only on strategy and growth.

What it does

Rabiz AI is an AI-Powered E-Commerce Automation platform that builds and runs an entire dropshipping or e-store operation with minimal human input.

It automates the business workflow from import to payment to analytics, promising setup in UNDER 10 MINUTES.

Key automated processes and features include:

Wholesale Connectors: Connects to major wholesale platforms (like Alibaba and Taobao).
Intelligent Product Sourcing: Uses AI for smart product discovery.
Auto Import: Automatically imports product details (titles, descriptions, images) to a retail store (like Shopify).
Payment Setup: Integrates payment solutions (Stripe/Credit Card).
Real-time Analytics Dashboard: Provides performance tracking.

How we built it

We built Rabiz AI as a system of integrated microservices. The core components include:

Wholesale Connectors: Custom APIs were developed to interface with 15+ wholesale platforms (e.g., Taobao) to pull raw product data.
AI Data Transformation Layer: Machine learning models were trained to clean, standardize, and enrich product data (titles, descriptions, images) for the retail front-end.
Store Integration Layer: Using platform APIs (like Shopify), this layer handles the automatic creation and synchronization of products, inventory, and order status.
Automation/Orchestration Engine: This Vercel-hosted system manages the entire BUSINESS AUTOMATION WORKFLOW, triggering product imports, updating inventory, and logging transactions.
Analytics Dashboard: A custom-built visualization tool tracks real-time Inventory Stats and performance metrics.