SquareFeet.ai is designed to reinvent the way real estate developers and brokers work on launching a new condo or rental project, ensuring the highest revenue given the current demand in the market. Our products offer a new way to monitor how real estate residential project are sold, rented, and managed.
SquareFeet.ai provides a sophisticated initial price list based on the project’s unique attributes. Once the initial price list is generated and the project has launched, SquareFeet.ai automatically optimizes unit prices in real-time to ensure the highest revenue for the projects. Our clients can manage several projects simultaneously, providing insight from market trends, to price recommendations throughout the lifecycle of their investment.
Clients using the SquareFeet.ai platform to price a new residential rental or condo projects will benefit from real time demand analytics. Rather than a team of professionals studying sales trends of a new project, the SquareFeet.ai algorithm will automatically analyze the incoming data and recommend price adjustments, allowing you to save time and money.
Don't have a new development project to onboard? SquareFeet.ai also provides a service to analyse past projects. With this service, our clients will learn what design attributes were highly valued by the market to effectively plan future projects. We will also provide insight on how the prices were initialized and what design attributes should have been included.
MARKET RESEARCH, INITIAL PRICE LIST AND REVENUE OPTIMIZATION
Algorithmic price creation and Automated Price Adjustments
Use the SquareFeet.ai platform to onboard your upcoming condo or rental projects. We generate a sophisticated initial price list based on market comparables, given their unique unit design attributes, and we optimize the unit prices given real time demand.
PAST PROJECT ANALYSIS
Data Driven Decision Making
Allow us to analyse your past residential condo or rental projects. Provide your team with valuable project design and performance insight based on the project’s unique attributes and the surrounding market.
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