How AURORA9 Works
AURORA9 deploys a fleet of intelligent Agentic AI workers to automate and optimize your ecommerce operations from end to end — seamlessly and autonomously.
1. Connect
Securely link your ecommerce platforms (Amazon, Shopify, Walmart, etc.) in just minutes.
1. Connect
Securely link your ecommerce platforms (Amazon, Shopify, Walmart, etc.) in just minutes.
2. Deploy Agents
Choose from our intelligent AI agents: PPC Manager, Repricing Engine, SEO Optimizer, and more.
2. Deploy Agents
Choose from our intelligent AI agents: PPC Manager, Repricing Engine, SEO Optimizer, and more.
3. Automate Tasks
Each agent performs tasks 24/7 — from ad optimization to inventory sync — without manual input.
3. Automate Tasks
Each agent performs tasks 24/7 — from ad optimization to inventory sync — without manual input.
4. Monitor & Scale
View daily reports. Scale instantly by deploying more agents across channels.
4. Monitor & Scale
View daily reports. Scale instantly by deploying more agents across channels.
5. Customize Your Strategy
Adjust rules, goals, or let the agents self-optimize using AI-driven decision-making.
5. Customize Your Strategy
Adjust rules, goals, or let the agents self-optimize using AI-driven decision-making.
6. Focus on Growth
While agents handle the work, you focus on innovation, expansion, and customer experience.
6. Focus on Growth
While agents handle the work, you focus on innovation, expansion, and customer experience.
AURORA9's Autonomous AI Workforce
Discover the intelligent architecture that powers AURORA9's autonomous AI agents, orchestrating seamless e-commerce operations.
E-commerce Seller
Sets goals & queries
AURORA9 AI Core
Processes, reasons, orchestrates
Amazon Seller Central
Data source & action target
AWS Platform Foundation
Scalable, secure infrastructure
Perception System (Sensors/Inputs)
Purpose
The AI agent's "eyes and ears" that gathers real-time and historical data from Amazon Seller Central.
Voice Input Integration
Amazon Transcribe converts user speech into text for voice commands and queries.
Data Flow Pathway
- →Amazon Kinesis Data Streams: Real-time event ingestion
- →Amazon S3: Primary data lake for raw and processed data
- →AWS Glue Crawlers: Auto-discover and catalog schema
- →Amazon Athena: Query access to data lake
- →Amazon DynamoDB: High-performance real-time storage
Memory System
Purpose
Stores information for context and learning across interactions.
Short-Term Memory
LLM context windows (Amazon Bedrock) and Amazon ElastiCache for multi-turn interactions.
Long-Term Memory
Amazon OpenSearch Service with Vector Engine for RAG (Retrieval Augmented Generation).
- →Learned rules and domain knowledge
- →Historical strategies and patterns
- →Contextual business intelligence
Reasoning Engine (Cognitive Core)
Purpose
The "brain" that processes data, analyzes patterns, and determines optimal actions.
Key Components
- →Prompt Instruction LLM: Defines agent behavior and goals
- →Refined LLM: Amazon Nova Pro for specialized tasks
- →RAG System: Factual accuracy from Knowledge Base
- →ML Models: Amazon SageMaker for predictive analytics
Multi-Agent Orchestration
MCP (Master Control Program)
Central orchestrator powered by AWS Step Functions and Amazon Bedrock.
- →Breaks high-level goals into manageable sub-tasks
- →Coordinates specialized AI agents
- →Monitors overall workflow execution
Specialized AI Agents
- →Marketing AI Agent: PPC campaigns and advertising
- →Inventory Management AI: Stock optimization and reordering
- →Customer Service AI: Query handling and support
Agent Communication
Amazon EventBridge: Event-driven architecture for agent collaboration and shared DynamoDB states.
Action Module (Outputs)
Purpose
Executes decisions made by the Reasoning Engine through concrete actions.
Voice Output
Amazon Polly converts text responses into natural-sounding speech for user communication.
Action Tools
- →AWS Lambda: Executes specific functions (bid updates, reorders)
- →Amazon Nova Act: Browser automation for complex workflows
- →Amazon API Gateway: Secure API endpoint management
Learning Mechanism
Purpose
Enables continuous improvement and adaptation based on performance feedback.
Learning Process
- →Performance monitoring and analysis
- →Model retraining in Amazon SageMaker
- →Strategy refinement based on outcomes
- →Adaptive optimization for changing conditions
Why Choose AURORA9?
Lightning Fast
Deploy in minutes, see results in hours. No lengthy setup or training required.
Lightning Fast
Deploy in minutes, see results in hours. No lengthy setup or training required.
Precision Automation
AI agents make data-driven decisions with 95%+ accuracy rates.
Precision Automation
AI agents make data-driven decisions with 95%+ accuracy rates.
Cost Effective
Replace expensive agencies and VAs with autonomous AI agents.
Cost Effective
Replace expensive agencies and VAs with autonomous AI agents.
24/7 Operations
Your business never sleeps, and neither do our AI agents.
24/7 Operations
Your business never sleeps, and neither do our AI agents.
Scalable Growth
Expand across platforms and channels without increasing overhead.
Scalable Growth
Expand across platforms and channels without increasing overhead.
Enterprise Security
Bank-grade security with SOC 2 compliance and data encryption.
Enterprise Security
Bank-grade security with SOC 2 compliance and data encryption.
Ready to Transform Your Business?
Join 1,689+ forward-thinking entrepreneurs on the AURORA9 waitlist. Get exclusive early access, special pricing, and be the first to transform your business.