Project Overview
### Project Overview
This **Real Estate CRM** was designed for a high-volume real estate agency. It automates the entire sales funnel, from capturing leads on various listing sites to closing the deal.
### Problem Statement
Agents were losing leads due to slow response times and disorganized data. There was no central system to track client preferences or communication history, leading to missed opportunities.
### Solution Provided
NacroSoft developed a custom CRM that aggregates leads from Zillow, Realtor.com, and social media. It uses automation workflows to instantly assign leads to agents and send welcome emails. A "Property Match" algorithm suggests listings to clients based on their preferences.
### Technologies Used
* **Frontend:** Vue.js, Bootstrap
* **Backend:** Python, Django
* **Database:** PostgreSQL
* **Integrations:** Zapier, Twilio, Mailgun
* **Cloud:** Heroku
### Key Features
* **Lead Aggregation:** Centralizes leads from 10+ sources automatically.
* **Automated Drip Campaigns:** Nurtures leads with scheduled emails and SMS.
* **Pipeline Management:** Visual drag-and-drop sales pipeline.
* **Smart Matching:** AI algorithm pairs new listings with potential buyers.
* **Mobile App:** Agents can access client data and book viewings on the go.
### Business Impact
* **Increased lead conversion rate by 22%** within 6 months.
* **Saved agents 15 hours per week** on manual data entry and follow-ups.
* **Generated $50M in property sales** directly attributed to CRM automation.
### Team Size
6 Members
### Role Breakdown
* **Full Stack Developer (Lead):** Designed the data model and core CRM logic.
* **Frontend Developer:** Built the responsive dashboard and pipeline visualization.
* **Backend Developer:** Handled the third-party API integrations (Zillow, etc.).
* **Mobile Developer:** Developed the companion app for field agents.
* **Project Manager:** Worked closely with top agents to define workflow requirements.
Project Gallery
Technologies Used
Vue.js
Python Django
PostgreSQL
Twilio
Heroku
Project Details
CategoryWeb App
Date2/15/2026
ClientN/A