Goal:
Reduce manual back-and-forth between agents and buyers by automating the initial property inquiry, qualification, and scheduling process — freeing up agents to focus on closing deals.
Impact Keywords:
- Lead Automation
- Customer Experience
- Sales Efficiency
- Operational Productivity
Approach:
LunarTech Lab built an AI-driven sales assistant that handles inbound property leads across channels (website, WhatsApp, email) and manages agent calendars dynamically.
- Conversational AI Lead Handler:
- Prospects can ask questions like “Is the 3-bedroom apartment in Dubai Marina still available?” or “Can I schedule a viewing this weekend?”
- The agent responds instantly using natural-language processing integrated with the CRM and property listings.
- Automatic Appointment Booking:
- The assistant checks agent availability via Google Calendar or Outlook API and books or reschedules viewings automatically.
- Lead Qualification Model:
- A scoring model ranks leads based on intent and financial readiness (e.g., how soon they plan to buy, location match, property price). Agents focus only on high-value leads.
- CRM & Analytics Integration:
- Every interaction is logged, and conversion metrics are tracked in real time — allowing management to see which campaigns or listings drive actual sales.
Summary:
This system transforms how real-estate firms interact with potential buyers — automating the first 70% of repetitive sales tasks, improving response time, and helping agents convert more efficiently.
