Who should enter the ‘Best Use of AI in Real Estate & Property‘ category?
The ‘Best Use of AI in Real Estate & Property’ category recognizes outstanding applications of artificial intelligence across the real estate and property sector.
Nominated solutions may address any stage of the property lifecycle, including development, investment, valuation, transactions, sales, leasing, property management, asset management and building operations.
Applications might help people discover suitable properties, evaluate investment opportunities, understand markets, manage documentation, operate buildings more efficiently, improve tenant services or make better use of property assets and portfolios.
Successful submissions should demonstrate innovation and effective implementation alongside a clear understanding of the particular needs of the sector. Entrants should explain the problem being addressed, why AI is well suited to solving it, how the solution works in practice and what has changed as a result of its introduction.
The category is open both to technology providers developing AI solutions for the sector and to real estate and property organizations applying AI within their own operations.
Example Use Cases
Applications of AI in real estate or property include, but are not limited to, the following example areas:

AI can help property professionals assess individual assets and understand wider market conditions by analyzing transactions, property characteristics, geographic information and other relevant signals. This supplements professional expertise while allowing far larger volumes of information to be evaluated.
Typical use cases:
- Producing automated or AI-assisted property valuations
- Identifying and analyzing comparable properties and transactions
- Forecasting movements in property values, rents or demand
- Detecting emerging trends across locations or property types
Demonstrable outcomes include:
- Improved valuation or forecasting accuracy
- Faster assessment of individual properties
- Increased volume of properties or markets analyzed

AI can support the commercial activities involved in bringing properties to market and securing buyers or occupiers. Applications can help property businesses understand demand, prioritize opportunities, personalize communications and improve the effectiveness of sales and leasing activity.
Typical use cases:
- Identifying and prioritizing prospective buyers, tenants or leads
- Personalizing property marketing according to customer requirements
- Supporting pricing and leasing strategies using market data
- Analyzing enquiry and campaign information to determine appropriate next actions
Example measurable outcomes include:
- Increased qualified enquiries or leads
- Improved sales or leasing conversion rates
- Reduced time to sale, lease or occupancy

Investors and asset managers can use AI to assess opportunities, monitor existing holdings and make more informed decisions across property portfolios. AI can bring together financial, market, property and operational information to identify risks and opportunities that may be difficult to uncover through conventional analysis.
Typical use cases:
- Screening potential acquisitions against investment criteria
- Modeling asset or portfolio performance under different scenarios
- Identifying underperforming properties or emerging portfolio risks
- Supporting acquisition, disposal and capital allocation decisions
Example measurable outcomes include:
- Faster evaluation of investment opportunities
- Improved portfolio or asset performance
- Earlier identification of investment risks and opportunities

AI can help owners, managers and occupiers operate properties more efficiently by interpreting information from building systems, maintenance records, sensors and other operational sources. Applications may range from individual properties to large portfolios containing diverse building types.
Typical use cases:
- Predicting maintenance requirements before equipment fails
- Optimizing heating, cooling, lighting or other building services
- Detecting abnormal equipment behavior or resource consumption
- Prioritizing maintenance and operational activity according to need
Measurable outcomes may include:
- Reduced energy or operating costs
- Fewer unexpected equipment failures
- Improved building or asset performance

AI can support decisions made before and during property development by combining information about markets, locations, planning, demographics and potential demand. Eligible applications should have a clear relationship with real estate development rather than representing general-purpose construction technology.
Typical use cases:
- Identifying and comparing potential development sites
- Analyzing planning, zoning or land-use information
- Forecasting demand for proposed property types or locations
- Evaluating alternative development scenarios and their potential viability
Example measurable outcomes include:
- Reduced time required to evaluate development opportunities
- Increased number of potential sites or scenarios assessed
- Improved accuracy of demand, feasibility or viability forecasts
Areas to Highlight in Your Submission
Judges score nominations across these five key areas:
Although not formally scored, focus on these areas specific to this category, can help your nomination stand out:
More A.I. Awards Categories
Next Steps to Enter The A.I. Awards
To enter this AI Awards category, or any other category in The AI Awards, please follow these three simple steps:
The A.I. Awards is a program from The Cloud Awards. Since 2011, we’ve been helping organizations across the globe gain the recognition they deserve for market-leading innovation in the cloud computing and software sectors.
For a detailed breakdown of all the benefits you receive as an awards entrant as either a shortlistee, finalist or ultimate winner, please see our “Why Enter?” page. The many benefits are replicated across all international awards programs. If you have any questions about this category, please contact us.

