An Autonomous Enterprise Metamorphosis Engine for E-commerce
AEME defines a new category: Autonomous Ecommerce Decision Operating Systems (EDOS). It compresses the e-commerce growth cycle from reactive spreadsheets into a continuously learning decision engine.
Unlike traditional dashboards that tell you "what happened", AEME simulates futures, governs risk, and proposes precise executable actions for growth.
📖 Read the Complete Expert User Guide to master AEME OS from onboarding to full autonomy.
- Memory Engine Retrieves business intelligence, brand memory, and external knowledge using vector search and embeddings.
- PPC Intelligence Ingests and analyzes live Amazon Ads and Shopify performance data to surface immediate operational inefficiencies.
- Simulation Engine Tests strategic changes (e.g., "What if I increase the SP-Core bid by 20%?") via Monte Carlo-style modeling to predict ROAS, Sales, and Risk Outcomes before execution.
- Strategic Chat System A high-fidelity AI companion that does not just converse, but formulates structured actionable strategy based on the e-commerce ecosystem's data lake.
- Autonomy Control Plane A continuously running daemon analyzing metrics to queue optimized workflow proposals autonomously.
- Governance Layer The safety net: Executable operations and workflows proposed by the Autonomy or Strategic layers are held for Human-in-the-loop audit and approval.
AEME OS has been upgraded to feature a precise macOS Tahoe design language, presenting an elite "Apple-developed" aesthetic optimized for modern capabilities:
- macOS Tahoe Glassmorphism: Incorporates deep translucent backgrounds (
backdrop-blur-3xl) with nuanced material effects, mirroring macOS application windows. The container features macOS-style traffic light window controls. - Apple Typography: Uses the native Apple font stack (
-apple-system,BlinkMacSystemFont,SF Pro) for flawless legibility that mimics native macOS utility applications. - Isolated Modular Workspace: Built a deeply segmented sidebar navigation system for total visual isolation, eliminating dashboards clutter and preventing cognitive overload. Includes a collapsible translucent navigation bar (
macos-glass-sidebar). - Dynamic Theme Selection: Supports universal Light and Dark modes (
.darkstrategy) configurable through the application header. Light mode features vibrant white translucency while dark mode utilizes deep, frosted graphite tones. - Fluid Scale & Density: Driven by
clamp()functions for seamless scaling. The header features a "Compact" vs. "Comfort" toggle seamlessly animating layout densities.
- Frontend: React 18, Vite, Tailwind CSS, Lucide Icons
- Backend: Express, Node.js
- AI Core: Google Gemini (
gemini-2.5-flash,text-embedding-004) via@google/genai - Authentication: Clerk (
@clerk/clerk-react) - Database (Simulated via lib/db): PostgreSQL with
pgvector
You need Node.js installed along with npm.
Configure your .env file referencing .env.example:
GEMINI_API_KEY="your-gemini-api-key"
VITE_CLERK_PUBLISHABLE_KEY="your-clerk-publishable-key"
CLERK_SECRET_KEY="your-clerk-secret-key"
DATABASE_URL="postgres://user:password@host:port/db"- Clone this repository:
git clone https://github.com/meerhamza00/AEME-OS.git
- Navigate to the directory:
cd AEME-OS - Install dependencies:
npm install
To run the application in a local development environment (with hot module replacement for UI and server components compiled by tsx):
npm run devTo build the client SPA and bundled Express backend for production:
npm run buildThen start the production server:
npm run start