Tags: AGENTIC AUTOMATION · D2C RETENTION · N8N + SUPABASE + BREVO
One Line: Replacing manual churn guesswork with a real-time AI scoring engine that detects at-risk customers 14 days before they leave — and deploys personalised retention emails automatically.
| # | Section | What It Covers |
|---|---|---|
| 01 | Problem Framing | The pain, the user, the gap in D2C retention |
| 02 | Solution Overview | What the system does and how it's layered |
| 03 | Scoring Engine | Per-customer lifecycle intelligence model |
| 04 | Backend Architecture | Both n8n workflows explained node by node |
| 05 | Frontend Architecture | Lumière demo store + RetainIQ dashboard |
| 06 | Live Links & Resources | Public URLs and access points |
| 07 | Metrics Framework | AARRR, HEART, AI performance, North Star |
| 08 | Product Roadmap | 3-phase plan from MVP to platform intelligence |
| 09 | Process & Decision Log | Every architectural decision with reasoning and tradeoffs |
| 10 | How to Test RetainIQ | Step-by-step verification guide for recruiters |
| Under 3 seconds | 5 lifecycle stages | $0 per scan |
|---|---|---|
| Event to Supabase update | Tracked per customer dynamically | Infrastructure cost for Workflow 2 |