Real Estate SaaS



Fast Flat Fee is an online real-estate platform that allows people to publish private property for sale or rent and manage the selling process on their own or assign it to the chosen agent.




Client's goal

Being a licensed real estate broker the client wanted to ease the procedure of sale or tenancy within the operating region and reduce related expenses for the property sellers and buyers for their benefit as well as to increase customer engagement and minimize the number of routine tasks in one’s own workflow.




Product

Custom real estate marketplace Custom real estate marketplace that gives users possibilities and remedies to initiate, manage, discuss and close deals concerning the sale of private real estate property: one/multi-family houses, condos, coOps, villas, townhouses or lands.

To fully implement the procedure in the digital form and meet customer expectations the platform comes with the following features.

For sellers:

  • Accounts. User profile registration and administration for long-term usage.
  • Listings.Creation, publishing, management, pdf download of multiple ads.
  • Content. Creation, publishing, management, pdf download of multiple ads.
  • Marketing. Proposition specification including audio and video content.
  • Plan. Automated property listing on the MLS base and other platforms.
  • Promotion. Choice of the deal management type: owner/agent.
  • Log. All changes to the listings are recorded and can be reviewed anytime..
  • Sales. Offers receiving, comparison, negotiation, and closing.
  • Payments. Transaction processing with multiple paying options.

For buyers:

  • Accounts. User profile registration and administration for long-term usage.
  • Selection. Keyword-based listing search with multiple filters.
  • Calculations. Definition of spent and saved money on a particular deal.
  • Offers. Bid creation, sending, management, negotiation and purchase.




Technical approach

Web solution created using the JS-based tech stack presented below. The project distinguishes usage of Amazon Web Services and namely:

Frontend. For storing its static files, we used configured Bitbucket Pipelines. They build and deploy each commit on master branch and upload them to AWS S3.

Backend. To ensure the seamless performance we run building and deployment scripts that execute the following tasks in the presented order:

1) Creation of a docker image from source files with pre-installed dependencies;

2) Pushing that image on AWS ECS;

3) Configuration of AWS Fargate task to use this repository;

4) Running of this task in the cluster.




Result

The solution that can be considered as one of the most popular examples of real estate automation so far allowed individual property sellers to post over 500 listings and save over $3.6 billion on sale arrangements and fees. The client noticed the simplification of customer acquisition and retention as well as the increase of operational efficiency.




real-estate-saas

Desktop Screenshots

real-estate-saas5b9a8911da113945d58a2350
real-estate-saas5b9a8960b4717345cf1c714f
real-estate-saas5b9a8960b4717345cf1c714e
real-estate-saas5b9a8945b4717345cf1c714a
real-estate-saas5b9a8945b4717345cf1c7149
real-estate-saas5b9a8945b4717345cf1c7148
real-estate-saas5b9a8933da113945d58a2357
real-estate-saas5b9a8933da113945d58a2356
real-estate-saas5b9a8911da113945d58a2352
real-estate-saas5b9a8911da113945d58a2351
real-estate-saas5b9a8911da113945d58a2350
real-estate-saas5b9a8960b4717345cf1c714f

Free consultation

Have questions? Leave your contact details and one of our experts will get back to you immediately.