Chloe: The AI Assistant for Real Estate - AI Agent

AI Agent

chloe

Chloe: The AI Assistant for Real Estate

About the Agent Automating Buyer & Seller Interactions via WhatsApp, HubSpot, Razorpay & Google

About the Agent

Automating Buyer, Seller & Agent Interactions via WhatsApp, HubSpot, Razorpay & Google Tools
RealEstateAutomation
AIChatbot
n8nWorkflows

Overview

Chloe is an AI-powered real estate automation assistant that revolutionizes how users interact with properties through WhatsApp. Designed to serve buyers, renters, sellers, and agents, Chloe integrates AI with tools like OpenAI, Google Sheets, Calendar, HubSpot CRM, and Razorpay to deliver a seamless end-to-end experience—from property search to payment confirmation.

Built on n8n with a modular, microservices-based design, Chloe eliminates the need for manual follow-ups by automating conversations, collecting and processing data, triggering external services, and keeping agents and clients in sync in real-time.

Challenges

Prior to Chloe, real estate teams faced major operational inefficiencies:
Missed Opportunities:

Sales teams often experienced delays in following up on leads captured through HubSpot forms due to lack of instant alerts.

Manual Notifications:

Sending lead details manually across channels was error-prone, inconsistent, and inefficient.

Distributed Teams:

Regional sales teams lacked visibility into real-time lead capture events without directly accessing HubSpot.

Integration Complexity:

Existing notification solutions were either inflexible or required extensive development effort to maintain.

Challenges

Before implementing Chloe, real estate operations were bottlenecked by:

Manual Lead Qualification

Agents manually filtered buyer/seller leads, slowing down response time.

Delayed Coordination

Visit bookings, payment links, and agent notifications were fragmented across platforms.

Inefficient Seller Onboarding

Property details were collected inconsistently via calls or unstructured forms.

Fragmented Communication

WhatsApp, CRM, calendars, emails, and spreadsheets weren’t interconnected.

No Real-Time Intelligence

Lack of a smart assistant meant no contextual conversations, delayed actions, and missed follow-ups.

Objectives / Goals

The project aimed to:

Objectives

This automation aimed to:

Solution Architecture

The Chloe system is designed as a modular AI assistant, combining real-time communication, backend integrations, and intelligent automation via n8n.
WhatsApp Chat Trigger
AI-Powered Decision Engine
Buyer Interactions
Visit Scheduling
Seller Onboarding
Payment Workflow
CRM & Agent Sync
Intelligent Calculators
Smart Follow-Ups & Memory

Use Cases

Here are concrete, action-driven use cases automated by Chloe:
Instant Property Match via WhatsApp

Users send messages like “Looking for 3BHK in South Delhi under ₹1 Cr” → Chloe parses the request and replies with matching listings and summaries instantly.

End-to-End Visit Scheduling Without Agents

A buyer selects a property → Chloe auto-coordinates preferred timings, books a slot via Google Calendar, and confirms the visit on WhatsApp for both user and agent.

Seller Submits Property via Conversation

A seller initiates a “List My Property” chat → Chloe collects all property details conversationally and appends them to a centralized Google Sheet with source tracking.

Razorpay-Powered Booking Flow

A user confirms interest in a property → Chloe generates a Razorpay payment link, confirms payment via webhook, and auto-sends receipt via WhatsApp and Gmail.

Smart Lead Capture & CRM Sync

Chloe recognizes a qualified inquiry → Creates/updates a contact and deal in HubSpot in real time, tagging lead source, interaction intent, and agent assignment.

Live Agent Notification for Hot Leads

Upon a high-intent action like payment or visit confirmation → Chloe sends an instant alert to the assigned real estate agent’s WhatsApp, improving response time.

Payment Status Monitoring and Escalation

Webhook monitors payment gateway → If payment fails or is abandoned, Chloe notifies user and schedules a reminder message after 24 hours.

Auto-Follow-up on Abandoned Conversations

If a user browses listings but doesn’t proceed → Chloe follows up after 2 days with a personalized reminder or suggests similar listings to re-engage.

Contextual Multi-Session Conversations

A user resumes chat after 3 days → Chloe recalls prior context (property discussed, budget, location) and continues the conversation without restarting.

Key Tools & Technologies

Duration & Resources

Metric Value
Time Taken 5 Days
Resources 2 Automation Specialists
Estimated Time Saved ~30 Hours/Week

Outcomes

Metric Before Chloe After Chloe AI Agent
Lead Response Time Avg. 2–6 hours < 30 seconds (98% faster)
Manual Agent Load 100% human interaction Reduced by 75%
Seller Onboarding Time ~20 mins per property < 5 mins (75% faster)
Payment Conversion Rate 40% after manual follow-ups 68% via automated link & reminder
Qualified Lead Capture 50–60% logged in CRM 95%+ auto-synced to HubSpot
Customer Satisfaction (CSAT) Untracked or anecdotal +30% increase (based on chatbot survey ratings)
Property Match Engagement Rate ~35% click-through 65%+ interaction rate on replies
Follow-up Completion Rate ~20% via manual reminders 80% via auto-triggered messages
Overall Workflow Efficiency Baseline (manual ops) 4× improvement in operational throughput

Conclusion

Chloe is a game-changer for real estate workflows, combining conversational AI with powerful backend integrations to create a 24/7 property consultant that never sleeps. From inquiry to payment, every step is handled intelligently—reducing friction for users, saving time for teams, and increasing operational speed.

Whether you’re a real estate agency, listing platform, or independent broker, Chloe scales your reach without scaling your headcount—unlocking faster deals, smarter interactions, and happier clients.

Let Chloe handle the chat—so you can close the deal.