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Real Estate
Python
Cloud
CRM Data Synchronization Middleware
Conversion Monster needed a middleware solution to automate CRM data synchronization across multiple platforms, enhancing lead management with real-time filtering and tagging for their real estate clients.
Client:Conversion Monster
Duration:Ongoing
Team:Lead Developer
Key Results
300+
Requests/Second
<1ms
Response Time
Seamless
Data Exchange
Real-time
Synchronization
The Challenge
What We Were Up Against
CRM data was fragmented across multiple platforms with no automated synchronization, causing lead management inefficiencies and data inconsistencies.
Key Pain Points
- 1Data fragmented across multiple CRM platforms
- 2No real-time synchronization between systems
- 3Leads not properly categorized or tagged
- 4Manual data entry causing errors and delays
The Solution
How We Solved It
Developed a high-performance middleware solution using Python and Django deployed on Google Cloud Platform with Docker containerization.
Our Approach
- 1System architecture design
- 2API integration development
- 3Real-time filtering engine
- 4Docker containerization on GCP
Key Features Built
- Real-time data synchronization
- Advanced lead filtering and tagging
- Multi-platform CRM integration
- High-throughput request handling
Technology Stack
P
Python/Django
Backend framework
D
Docker
Containerization
G
GCP
Cloud infrastructure
R
REST APIs
CRM integrations
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