2Impact.ai System Architecture
"Sustainable impact through intelligent automation"
1. User Onboarding & Conversion Journey
Website Visit
2impact.ai
User visits marketing website, views demo, reads testimonials
Brand Analysis
2I-Brand-Setup-Scraping
System scrapes user's website/social media for brand data (colors, fonts, products)
Personalized Demo
2impact.ai
Shows first 3 personalized initiatives based on brand analysis
Sign-up & Payment
2impact.ai → Supabase
User creates account, subscribes, data stored in database
2. App Onboarding & Setup
App Download
app.2impact.ai
User downloads iOS/Android app or accesses web version
Profile Setup
2I App Profile
User adds brand details, consumption data, products
Data Upload
2I App → Supabase
User uploads data files to cloud storage
Data Processing
2I-Data-Integrator
2I-Data-Integrator processes uploaded data for operations and energy systems
3. AI Initiative Generation Pipeline
Industry Research
2I-Business-Area-Scraping
Continuous scraping of micro-vertical industry data
AI Model Training
2I-AI-Model-Trainer
Trains OriginalIdea.ai with industry + user data
Initiative Generation
2I-Initiative-Generator
Creates initiatives using OriginalIdea.ai based on business research
Initiative Refinement
2I-Initiative-Refiner
Refines initiatives with ROI calculation, feasibility study, business case
4. Two-Layer Approval Process
CS Pre-Approval
Dashboard → CS Team
Customer Success team reviews & pre-approves initiatives via Dashboard
User Review
2I App Objectives & Initiatives
User sees pre-approved initiatives in Objectives & Initiatives view
User Approval
2I App
User approves/rejects/modifies initiatives with feedback
Feedback Loop
Back to AI-Model-Trainer
User feedback trains AI to improve future initiative suggestions
5. Execution & Monitoring
Execution Planning
2I-ExecutionPlan
Creates implementation plans for approved initiatives
Progress Tracking
2I-ExecutionPlan
Monitors execution progress and milestones
User Engagement
2I-User-Engagement
Tracks achievements, creates todos, awards, suggestions
Dashboard
2I App Dashboard
Shows ROI, impact metrics, progress to user
6. AI Assistant Integration
User Query
2I App Assistant
User asks about initiatives, ROI, implementation
AI Processing
2I-AI-Assistant
2I-AI-Assistant analyzes user context, brand data, performance metrics
Personalized Response
2I App Assistant
Provides personalized advice and suggestions
Action Integration
Multiple Services
Can trigger initiative generation, data integration, or execution planning
Key Data Flows & Integrations
Continuous Learning Loop
User feedback → AI Model Trainer → OriginalIdea.ai → Better initiative suggestions
Real-time Synchronization
Supabase Database ↔ All applications maintain real-time data sync
Initiative Lifecycle
Research → Generation → Refinement → Approval → Execution Planning → Monitoring
AI-Powered Automation
Brand scraping → Initiative generation → ROI calculation → Execution planning → Progress tracking