Madar OmniBot – n8n WhatsApp Cloud API & RAG AI Real Estate Lead Qualifier
Autonomous self-hosted n8n pipeline combining WhatsApp Business Cloud API, OpenAI Whisper voice-note transcription, Qdrant vector inventory matching, and instant Madar CRM site-visit booking.
- Client : Madar PropTech Solutions
- Duration : 6 Weeks
- Year : 2026
- Tags : Automation , n8n , AI Agents , WhatsApp API , Qdrant RAG , PropTech
- Website : crm.cynsera.com
Project Overview: Madar OmniBot – n8n WhatsApp Cloud API & RAG AI Real Estate Lead Qualifier
Madar OmniBot is a production self-hosted n8n automation and conversational AI agent engineered by Cynsera for high-volume real estate brokerages. Running on Redis-backed n8n Queue Mode workers, it handles thousands of simultaneous Arabic and English WhatsApp inquiries 24/7.
The Business Challenge & Technical Requirements
In MENA real estate markets, over 65% of buyers reply to property ads with Arabic voice notes on WhatsApp outside business hours. Sales reps took hours to listen, qualify budget/location preferences, and search availability spreadsheets—losing hot buyers to competitors.
Live Platform & Mobile Application Screens (crm.cynsera.com)
Technical Architecture & Full-Stack Implementation
Cynsera built a multi-node n8n workflow triggered by WhatsApp Cloud API webhooks. Incoming voice notes are transcribed in real time via OpenAI Whisper (supporting Egyptian and Gulf Arabic dialects), passed into an n8n AI Agent node connected to a Qdrant vector database of live compound inventory, and synchronized with Madar CRM to book verified site visits automatically.
Key Outcomes & Measurable Impact
Reduced first-response latency to under 4.2 seconds, qualified 3,800+ daily WhatsApp conversations autonomously, and lifted booked site visits by 48%.
Explore the Live Platform: Visit crm.cynsera.com ↗