Most "omni-channel" AI agents are just disconnected silos. If a lead chats with you on the web and then calls 10 minutes later, the agent asks for their name and scenario all over again. Friction = Canceled Bookings.
My client was spending $25k+ on PPC and losing high-value real estate leads at that handoff point.
I built a frictionless Omni-Channel Real Estate AI Agent with Instant State Transfer. The AI agent knows who you are, what you were looking for, and where you left off, regardless of whether you are chatting or calling.
The Tech Stack:
1️⃣ Context Cache (Supabase): I used Supabase as a persistent, real-time database to act as the AI’s central nervous system.
2️⃣ Web Chat (OpenAI API/React): The lead inputs property details (e.g., property value, current rate).
3️⃣ n8n Orchestration: n8n listens to the chat completion, sanitizes the data, and appends it to the Supabase context.
4️⃣ Voice (Retell AI / ElevenLabs v2.5): If the user calls, n8n detects the caller ID, performs an instant lookup in Supabase, and pre-loads the context into the agent’s prompt.
The "Aha!" Moment: When the lead calls, the AI opens with: "I see we were just chatting about refinancing your $600k property on Oak Street. I have your info. Can I schedule that specialist call for tomorrow?" Conversion rate for refinancing inquiries doubled.
No generic questions. No manual data entry. Just instant, intelligent qualification and booking.
The idea was to bring property search, user accounts, bookings, and relocation services into one place. And we wanted to do it without building everything from scratch.
Full Story below 👇