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Automated Sales Workflow – Real Estate Case Study

An n8n-based AI automation system for real estate agencies that captures leads from Instagram, generates intelligent replies using GPT, and manages stage-based follow-ups through a fully automated sales workflow.


Categories: 

AIAutomationSalesReal Estaten8nWorkflowPostgreSQLOpenAIVector DatabaseInstagram API

Project site: vasilkoff.com/portfolio/realestate-sales-workflow

An intelligent, AI-powered automation system for real estate sales built with n8n, OpenAI, and PostgreSQL. It manages leads, generates AI-driven responses, and automates follow-ups directly from Instagram messages — reducing manual effort and accelerating conversions.

Automated Sales Workflow – Real Estate Case Study

Smart Sales Automation for Real Estate

In today’s fast-paced property market, every missed message can mean a lost deal.
To help real estate agencies manage leads more efficiently, Vasilkoff Ltd developed a fully automated AI sales workflow — handling everything from initial contact on Instagram to follow-ups and scheduling.

This intelligent system merges OpenAI’s conversational intelligence, PostgreSQL data tracking, and n8n automation, creating a continuous, hands-free sales engine.


The Challenge

Real estate agents spend countless hours responding to messages, qualifying leads, and sending follow-ups.
Our client needed an automation layer that could:

  • Capture incoming Instagram inquiries
  • Reply with personalized, context-aware responses
  • Track progress across multiple sales stages
  • Provide optional human moderation
  • Stay always up to date with the latest property data

The Solution: n8n-Powered Sales Workflow

We implemented a modular n8n workflow designed to run continuously — receiving, processing, and responding to Instagram messages through intelligent automation and AI orchestration.

1. Data Capture & Storage

Incoming Instagram DMs are received via a webhook, logged into a PostgreSQL database, and stored along with full chat history through ChatMemory.
A built-in delay mechanism ensures proper sequencing and stable data handling even under high traffic.

2. AI-Powered Response Generation

Each message is processed by OpenAI’s GPT-based model, using both prompt engineering and historical context to craft meaningful, human-like replies.
The result: smooth, context-aware communication that feels personal — not robotic.

3. Response Moderation

Before sending, responses are formatted in JSON for delivery via HTTP.
Through Gmail notifications, managers or developers can approve, modify, or reject AI suggestions, giving full control over automated communication.

4. Stage-Based Workflow Automation

Depending on the sales phase — initial inquiry, price negotiation, or final offer — n8n automatically schedules follow-up messages or purchase reminders using cron-based triggers.
This ensures consistent engagement without human intervention.

5. Knowledge Management & Dynamic Updates

A vectorized knowledge database supports complex prompts and fast semantic retrieval.
Jarvis-like logic allows the AI to update its internal memory from shared Google Drive documents, ensuring the model always reflects the latest property listings and policies.

6. Optional Auto-Learning

Closed successful sales can be optionally converted into new vectorized entries, enhancing the AI’s ability to recognize effective sales patterns.
This feature remains disabled for compliance reasons in the current project but can be easily activated in future versions.


Results

  • End-to-end automation from lead capture to deal closing.
  • 24/7 responsiveness — no missed inquiries.
  • Human-in-the-loop moderation via Gmail.
  • Scalable architecture ready for new social platforms.
  • Reduced manual workload and faster client response times.

This workflow demonstrates how AI, automation, and data engineering can seamlessly integrate into the real estate industry — turning a message inbox into a live sales assistant.


Technology Stack

  • n8n — Workflow orchestration
  • PostgreSQL — Data capture and storage
  • OpenAI GPT — Natural language response generation
  • Vector Database — Semantic knowledge management
  • Instagram API — Lead input source
  • Gmail API — Response moderation and notifications
  • Google Drive API — Dynamic knowledge updates

Why It Matters

In real estate, speed and communication define success.
This project proves that an AI system can manage leads as efficiently as a full sales team — with better accuracy, consistency, and response time.

By combining n8n automation, LLM-driven conversation, and smart data pipelines, we’ve shown how any business can modernize its sales process with minimal friction.


Built by Vasilkoff Ltd

We engineered every layer — from prompt logic and API integrations to database schema and workflow design.
Our focus was reliability, scalability, and adaptability for future industries beyond real estate.

This project illustrates our capability to turn manual sales pipelines into intelligent, automated ecosystems.


The Takeaway

Whether you manage property listings, e-commerce leads, or customer support — this workflow architecture can adapt to your business model.
We can help you integrate AI-driven automation into your sales and communication channels.

Empower your business to respond faster, sell smarter, and scale effortlessly.


For more information on how we can assist you with your web development needs or to learn more about our services, please visit our contact page.
At Vasilkoff Ltd, we’re dedicated to empowering businesses with the tools they need to succeed in today’s digital landscape.

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Automated Sales Workflow – Real Estate Case Study - Vasilkoff Portfolio