Canada's first-of-its-kind AI-powered real estate portal. This innovative platform aims to enhance the efficiency of all stakeholders engaged in the property cycle, including buyers, sellers, and marketers.
As for the data utilized by our AI system, our algorithm leverages an extensive dataset gathered from a wide array of sources. In certain cities in Canada, the algorithm integrates more than 185 parameters. The sample list of sources and parameters, along with their respective weights within the algorithm's architecture, will be furnished below for your reference.
Impacts
The platform operates within four distinct impact categories, each contributing to its functionality:
Very High Impact:
This category encompasses elements of paramount importance. The data and parameters falling within this classification play a critical role in driving the platform's core functions and outcomes.
High Impact:
Elements falling under the high impact category significantly influence the platform's effectiveness. Data and parameters within this group contribute prominently to enhancing various aspects of the real estate experience.
Medium Impact:
In this category, the data and parameters hold a moderate level of influence. While they might not be as central as those in higher impact categories, they still contribute substantially to the platform's overall performance.
Low Impact:
The low impact category consists of data and parameters that, while less influential, still provide valuable supplementary insights. While not driving the core functionalities, they contribute to a more comprehensive understanding of the real estate landscape.
This categorization of impact levels enables our AI-powered real estate portal to make informed decisions, optimize processes, and offer enhanced experiences across the entire spectrum of real estate activities.
Very High Impact
Under the "Very High Impact" category, the AI-powered real estate portal relies on crucial data and parameters that substantially shape its functionality and outcomes. These include:
Inventory of Developers:
Comprehensive information about property developers, their projects, and their portfolios, providing a foundational understanding of available real estate offerings.
MLS Listings (US and Canada):
Integration of Multiple Listing Service (MLS) listings specifically tailored for the United States and Canadian markets, ensuring a rich database of available properties.
Building Location (Latitude/Longitude):
Precise geographic coordinates of each building's location, enabling accurate mapping and spatial analysis.
Project Price Class:
Categorization of projects into specific price classes, aiding users in finding properties that align with their budget preferences.
Building Rating (In-house Rating):
An internally generated rating system that assesses the quality, features, and amenities of each building, assisting users in making informed decisions.
Neighborhood Class:
Classification of neighborhoods based on various characteristics such as amenities, safety, infrastructure, and overall livability.
Apartment Parameters (Up to 33 Criteria):
Integration of a wide range of apartment-specific parameters, including area size, floor level, repair status, presence of a balcony or terrace, and more. These criteria contribute to precise property matching.
Apartment Price:
Accurate pricing information for each apartment, ensuring transparency and facilitating users in evaluating property affordability.
Exposition Period of Unsold Apartments:
Duration for which unsold apartments have been listed, providing insights into market demand and property attractiveness.
Prices of Sold Apartments:
Historical pricing information of apartments that have been successfully sold, aiding in price trend analysis and property valuation.
Exposition Period of Sold Apartments:
Time taken for apartments to be sold after listing, offering insights into market velocity and demand trends.
Sold Apartments Count: Total number of apartments that have been sold, providing an indicator of market activity and desirability.
Liquidity of the Apartment:
A measure of how easily an apartment can be converted into cash, considering factors such as demand, property type, and market conditions.
Segment Liquidity:
Evaluation of liquidity within specific segments of the real estate market, helping users understand the dynamics of various property types or locations.
The inclusion of these data points and parameters under the "Very High Impact" category underscores their critical role in shaping the platform's core functionalities and delivering a comprehensive and informed real estate experience to users.
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High Impact
Within the "High Impact" category, the AI-powered real estate portal leverages significant data and parameters that contribute substantially to its effectiveness. These include:
Listings from the Top 3 Real Estate Websites:
Integration of listings from the most prominent real estate websites in the city, ensuring a comprehensive collection of available properties.
Public Data (Deals):
Inclusion of public records and deal information, enhancing transparency and providing insights into recent property transactions.
Macroeconomic Data (If Acceptable):
Integration of relevant macroeconomic indicators, providing a broader context for property market trends and dynamics.
Building Wall Material:
Information about the wall material of each building, contributing to understanding construction quality and insulation properties.
Year of Construction/Reconstruction:
The year a building was constructed or underwent reconstruction, aiding users in assessing property age and potential renovations.
Transport Accessibility (Meters and Minutes):
Data on transport accessibility in terms of distance (meters) and time (minutes) by car or other modes, offering valuable insights for commuting convenience.
House Reputation and District Reputation (In-house Rating):
Internal ratings for both the reputation of the house/building and the district/neighborhood, helping users assess overall desirability.
Apartment Rating Among Competitors (In-house Rating):
A proprietary rating system that compares apartments against similar offerings, aiding users in gauging their value.
Crime Reports (If Acceptable):
If permissible, inclusion of crime reports or safety statistics for the area, contributing to informed decision-making.
School Rating:
Evaluation of nearby schools' quality and performance, important for families with school-age children.
3 Months Dynamic of the Market:
Analysis of market trends over the past three months, providing insights into short-term fluctuations.
Listing Price Changes Daily:
Monitoring of daily listing price changes, enabling users to track pricing dynamics.
Correlation of Price and Supply Volume Changes:
Assessment of how changes in price relate to shifts in the volume of property supply.
Correlation of Supply Volume and Demand Dynamics:
Examination of how variations in property supply correlate with changes in demand trends.
Factual Data and Feedback from Users:
Inclusion of data and feedback provided by users, enriching the platform with real-time insights.
Power of Demand:
Measurement of the demand strength for properties, indicating market interest.
Green Zones and Waterline Zones: Identification of nearby green spaces and waterline areas, enhancing the understanding of local surroundings.
District Infrastructure and Rating Infrastructure:
Evaluation of both district-level and general infrastructure quality, influencing property decisions.
These "High Impact" components collectively enhance the platform's capacity to provide users with comprehensive, data-driven insights, facilitating well-informed decisions in the real estate domain.
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Medium Impact
For the "Medium Impact" category, our AI for real estate incorporates data and parameters that hold a moderate level of influence on its functionality. These include:
Infrastructure Data (Google Maps):
Utilization of infrastructure data from Google Maps, offering insights into the surrounding infrastructure and amenities.
Infrastructure Data from Wikimapia:
Integration of infrastructure information from Wikimapia, contributing to a comprehensive understanding of local amenities.
Infrastructure Data from OpenStreetMap:
Incorporation of infrastructure data from OpenStreetMap, enhancing the platform's knowledge of nearby facilities.
Building Amenities:
Inclusion of information about amenities within the building or complex, aiding users in assessing the convenience of the property.
Points of Attraction:
Identification of points of attraction, such as landmarks, parks, and entertainment venues, enriching users' knowledge of the area's highlights.
Transport Accessibility (Minutes by Walking):
Data on transport accessibility in terms of walking time, providing insights into the proximity of various facilities.
Number of Floors in the Building:
Information about the number of floors in the building, offering insights into its size and structure.
Liquidity of the Area:
Assessment of the area's liquidity or ease of property sales, contributing to users' understanding of market dynamics.
Repairment Type (10 Stars Score):
Evaluation of repairment quality using a 10-star rating system, aiding users in understanding property conditions.
Archived Data for Listings on Websites:
Utilization of historical data from online listings, contributing to long-term market trend analysis.
Noisy Areas (In-house Rating):
Internal rating indicating areas prone to noise, helping users evaluate the potential for disturbances.
These "Medium Impact" elements complement the higher impact categories, providing users with additional layers of insights to facilitate their real estate decision-making process.
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Low Impact
"Low Impact" category, our AI engine incorporates data and parameters that provide supplementary insights to users, contributing to a more comprehensive understanding of the properties and their context. These include:
Utilities Condition of Houses:
Information about the condition of utilities within houses, offering insights into the functionality and maintenance of essential systems.
Reviews on Review Sites (About the Building):
Inclusion of reviews from external review sites that pertain to the building or property, providing user-generated insights.
Semi-Automatic Map Marking Districts, Special Zones:
Utilization of a semi-automated process to mark districts and special zones on the map, enhancing the visual representation of the area.
Special Locations:
Identification and labeling of special or unique locations within the vicinity, enriching users' understanding of the neighborhood.
Databases of Taxes:
Integration of tax-related databases to offer users insights into property tax rates and related financial considerations.
Cadastral Number of Sold Apartment, Cadastral Number of Apartment for Sale:
Inclusion of cadastral numbers for both sold and available apartments, facilitating property identification and verification.
While residing in the "Low Impact" category, these data points and parameters contribute valuable details that enhance the overall user experience, allowing individuals to make more informed and well-rounded decisions within the realm of real estate.
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