Expertise Specialist Industries
Insights
FAQ's
Get a Free Quote
Technologies Involved:
PYTHON
saas
ElasticSearch
Kafka
Redis
postgresql
ANGULAR
Area Of Work: Customer Relationship Management
Project Description

Our client operates in the real estate sector and is dedicated to providing top-notch services to property buyers and sellers. They recognized the need for a comprehensive SaaS CRM and Transaction Management System to streamline their operations and enhance customer experiences. This project aims to deliver a powerful and user-friendly software solution tailored to their real estate business, facilitating efficient customer relationship management and transaction processing while elevating their position in the market.
 
Scope Of Work

Our primary goal for this project was to design and develop a comprehensive SaaS-based CRM and Transaction Management System tailored to the specific needs of our client in the real estate sector. This solution aimed to streamline their customer relationship management and transaction processes, enhancing efficiency and improving the overall experience for property buyers and sellers. Our objective was to provide them with a versatile and user-friendly software platform that empowers their team to manage properties and customer relationships seamlessly while strengthening their competitive edge in the real estate market.
Our Solution

Our solution for this project encompassed the following services and technologies:

  • Developed a custom SaaS-based CRM and Transaction Management System for the real estate business.
  • Utilized DJango (Python) for robust backend development, ensuring data management and security.
  • Implemented Angular 8 for creating an intuitive and user-friendly front-end web application.
  • Employed PostgreSQL (v12.1) as the relational database management system for data storage.
  • Integrated Elasticsearch (v6.x) for advanced search and analytics capabilities.
  • Leveraged Kafka (v2.2.x) for real-time data streaming and processing.
  • Utilized Redis (v5.x) for caching and enhancing system performance.
  • Docker was employed for containerization, simplifying deployment and scalability of the application.

Related Projects

aiShare Your Requirements