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All case studies
Real Estate · CRM Automation

Fursa Ghyr Property Matching Workflow

A real estate operations automation project for Fursa Ghyr, designed to connect property inquiries, WhatsApp conversations, demand capture, listing matching, broker handoff, CRM visibility, and follow-up workflows.

  • n8n
  • WhatsApp Cloud API
  • Zoho CRM
  • Google Sheets
  • Webhooks
+1 more
01
Business type

Saudi real estate listings and broker platform

02
Core problem

Property inquiries, demand requests, listing matching, broker handoff, and CRM visibility were difficult to coordinate manually

03
Main outcome

A structured automation foundation for property inquiry intake, matching support, CRM updates, and team follow-up

Business impact

Reduced fragmented lead handling by connecting WhatsApp intake, property matching, CRM updates, sheets, and team alerts into a clearer operating workflow.

The challenge

The business friction

Fursa Ghyr's platform experience spans listings, map search, broker pages, property requests, contact forms, and WhatsApp inquiries. The operational challenge is what happens after interest is captured: turning chat messages and form inputs into structured demand records, comparing them against available listings, notifying the right team members, and keeping follow-up visible across sheets and CRM tools.

The solution

The system response

MASK AI worked on a WhatsApp-centered real estate workflow that structures inquiry intake, captures property demand, connects listing data, runs matching logic, triggers human handoff alerts, updates Google Sheets, and supports Zoho CRM lifecycle visibility. The system was designed for operational clarity, with validation points where human review still matters.

Capability map

What the system covers

Built around the operational jobs that matter: intake, product experience, workflow control, visibility, and follow-through.

01

WhatsApp inquiry intake

02

Structured property demand capture

03

Demand-to-listing matching workflow

04

Listing-to-demand matching foundation

05

Broker and team handoff alerts

06

Human handoff alerts

07

Zoho CRM lifecycle updates

08

Google Sheets operational layer

09

Webhook-based workflow orchestration

10

Operational QA and validation paths

11

Validation-focused automation debugging

Operating path

How the system flows

WhatsApp inquiries become structured demand records, listing matches, CRM updates, and follow-up.

Property demand workflow

WhatsApp inquiries become structured demand records, listing matches, CRM updates, and follow-up.

08 stages
01
WhatsApp Message
02
Demand Capture
03
Matching Logic
04
Property Listings
05
Google Sheets
06
Zoho CRM
07
Team Alerts
08
Follow-up Workflow
Technology

Stack and architecture

The engagement combined product interface work, workflow logic, and implementation tooling around the operational needs of the project.

  • n8n
  • WhatsApp Cloud API
  • Zoho CRM
  • Google Sheets
  • Webhooks
  • Property Matching Logic
Outcome

What changed

The project gave Fursa Ghyr a stronger operational foundation for real estate inquiry handling: WhatsApp intake, structured demand capture, listing matching, CRM updates, and team follow-up can move through a clearer workflow instead of scattered manual handoffs.

WhatsApp lead intake
Property matching workflow
CRM follow-up visibility
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