Patent Application
20250225598
AI-driven real estate property areas search, granular property components, usage stories and backstories analysis, matching, visualization and related methods.
The real estate industry has traditionally relied on human agents to facilitate property transactions, provide market insights, and match buyers with suitable properties. This process, while effective, can be time-consuming and may not always cater to the specific emotional and practical needs of luxury property buyers. As the demand for luxury real estate continues to grow, there is an increasing need for more efficient and personalized property search and matching solutions.
In recent years, advancements in artificial intelligence (AI) have opened new possibilities for transforming the real estate market. AI technologies, such as machine vision and natural language processing, have the potential to analyze vast amounts of data, including images, videos, and textual descriptions, to extract meaningful insights about properties. These technologies can enhance the property search experience by providing more granular and personalized results, addressing the unique preferences and desires of luxury property buyers. As the luxury real estate market evolves, there is a pressing need for innovative solutions that leverage AI to improve the efficiency and personalization of property searches, ultimately enhancing the overall buying experience.
In accordance with embodiments, a computer-implemented method is provided for searching and matching real estate properties to a buyer's desired property criteria using artificial intelligence (AI). The method involves analyzing property data, including images, videos, and textual descriptions, to extract insights and identify granular property elements. Granular property content is generated based on the analyzed property data. The method further includes receiving a buyer's desired property criteria and matching these criteria with properties based on the analyzed data and generated content to determine the best matching properties. The best matching properties are then presented to the buyer.
In accordance with other embodiments, a system is provided for searching and matching real estate properties to a buyer's desired property criteria using AI. The system comprises an AI-driven property analysis and matching system configured to analyze property data, generate granular property content, receive a buyer's desired property criteria, match these criteria with properties, and present the best matching properties to the buyer. Additionally, the system includes an Al-driven property interaction system for engaging with the buyer and providing interactive information about the properties, and a luxury property database system for storing luxury property components, properties for sale listings, property tours, and stories.
In yet other embodiments, the AI-driven property analysis and matching system utilizes machine vision to identify granular property elements from images and videos. The system also generates granular property content using a large language model and generative AI. The buyer's desired property criteria may include desired property granular components, property areas usage stories, and backstories. The matching process is based on the analyzed property data, generated content, and the buyer's criteria to determine the best matching properties. Presenting the best matching properties includes providing property granular components, property areas usage stories, and backstories.
In further embodiments, the AI-driven property interaction system engages with the buyer using a conversational AI system, an avatar, or a hologram, facilitating a dynamic and engaging dialogue to provide interactive information about the properties. The luxury property database system stores luxury property components, properties for sale listings, property tours, and stories to facilitate search and matching with the buyer's criteria.
In additional embodiments, the AI-driven property analysis and matching system, the AI-driven property interaction system, and the luxury property database system work together to manifest an AI-driven real estate property search and matching system that considers both practical and emotional needs of the buyer.
This disclosure provides a computer-implemented method and system for searching and matching real estate properties to a buyer's desired property criteria using artificial intelligence (AI). The AI-driven property analysis and matching system may analyze property data, including images, videos, and textual descriptions, to extract insights and identify granular property elements. This system can generate granular property content using a large language model and generative AI, which may enhance the detail and personalization of property information. The system may receive a buyer's desired property criteria and match these criteria with properties based on the analyzed data and generated content to determine the best matching properties. The AI-driven property interaction system can engage with the buyer, providing interactive information about the properties through various mediums such as a conversational AI system, avatar, or hologram. Additionally, a luxury property database system may store luxury property components, properties for sale listings, property tours, and stories, facilitating AI-driven matching with potential buyers. This approach can address both the practical and emotional needs of buyers in the luxury real estate market, offering a more efficient and personalized property buying experience.
In step 102, the AI-driven property analysis and matching system may receive desired property backstory data from a property buyer. This data may encompass emotional and specific characteristics that the buyer is interested in. The AI-driven property analysis and matching system may be configured to handle such data, potentially allowing for a more personalized property search experience. The system may utilize advanced AI technologies, including machine vision and natural language processing, to analyze and interpret the backstory data. This process may involve the extraction of insights and the identification of granular property elements that align with the buyer's emotional and specific preferences. The Al property analysis tool may play a role in this step by analyzing vast amounts of data, including images, videos, and textual descriptions, to generate detailed property content. This content may then be used to match the buyer's desired property areas with luxury real estate properties, potentially determining the best matching properties. The AI-driven property analysis and matching system may also integrate with other components, such as the AI-driven property interaction system and the luxury property database system, to provide a comprehensive property search and matching experience that considers both the practical and emotional needs of the buyer. This integration may facilitate a dynamic and engaging dialogue with the consumer, enhancing the overall property buying experience.
In the context of Step 104, the process may involve the AI property analysis tool potentially matching the buyer's desired property with real estate properties. This matching may be based on the analyzed property data and the generated property content, which could be derived from various AI technologies. The AI property analysis tool may utilize machine vision to analyze vast amounts of data, including images, videos, and textual descriptions, to extract meaningful insights and identify granular property elements. Additionally, the tool may generate granular property content using a large language model and generative AI, which could aid in creating detailed property content. The matching process may aim to determine the best matching properties by aligning the buyer's desired property areas with luxury real estate properties. This alignment may be facilitated by the Al property analysis tool's ability to analyze and generate content that resonates with the buyer's criteria. The potential outcome of this step may be the identification of properties that best match the buyer's preferences, thereby enhancing the property search experience.
In step 106, the AI property interaction tool may engage with the property buyer to discuss and provide interactive information about the real estate property. This interaction may involve the use of various mediums, such as a conversational AI system, an avatar, or a hologram, to facilitate a dynamic and engaging dialogue with the consumer. The AI-driven property interaction system may be designed to engage with the buyer and provide interactive information about the properties, potentially enhancing the buyer's understanding and experience. The interaction may be tailored to address both the practical and emotional needs of the buyer, as the system may work to provide detailed insights and information about the property in question. The AI property interaction tool may utilize advanced technologies to create a more personalized and immersive experience for the buyer, potentially leading to a more informed decision-making process. The system may be configured to adapt to the buyer's preferences and provide relevant information in a manner that is both engaging and informative. This step may ensure that the buyer receives a comprehensive understanding of the property, which may ultimately influence their purchasing decision.
In step 108, the process may involve storing luxury property data and matching luxury properties with buyer preferences by analyzing the stored data. This step may be facilitated by a luxury property database system, which can store various components such as luxury property components, properties for sale listings, property tours, and stories. The database system may be interconnected, allowing for a comprehensive storage solution that can capture and store real estate luxury property granular elements. This storage capability may facilitate AI-driven matching with potential buyers by providing a repository of detailed property data that can be analyzed to determine the best matching properties. The stored data may include granular luxury property components, backstories, and property areas owner usage, which can be utilized to match the buyer's desired property criteria with available properties. The AI-driven database system for real estate matching may work in conjunction with other systems to ensure that both practical and emotional needs of the buyer are considered. This integration may allow for a more personalized and efficient property search experience, where the buyer's preferences are matched with the most suitable luxury properties based on the analyzed and stored data.
The AI property analysis tool may receive a buyer's desired property criteria, which may include desired property granular components, property areas usage stories, and backstories. By matching these criteria with properties based on the analyzed property data and generated property content, the tool may determine the best matching properties. This matching process may involve correlating the buyer's criteria with the identified property elements and generated content to ensure a comprehensive match.
Once the best matching properties are determined, they may be presented to the buyer. This presentation may include providing property granular components, property areas usage stories, and backstories of the best matching properties, offering the buyer a detailed view of the potential properties. The AI property analysis tool may work in conjunction with other components, such as the AI-driven property interaction system and the luxury property database system, to provide a seamless and integrated property search experience that considers both the practical and emotional needs of the buyer.
The system/component 204, identified as the System of databases, may serve as an element in the AI-driven real estate property search and matching system. This system of databases may be responsible for storing luxury property components, properties for sale listings, and property tours and stories. The luxury property database system may store these elements to facilitate AI-driven matching with potential buyers. The databases may capture and store real estate luxury property granular elements, which may include property areas owner usage and backstories in various formats, including visual. This storage capability may enable future searches and matching with a buyer's desired property criteria.
The system of databases may work in conjunction with other components, such as the AI property analysis tool and the AI property interaction tool, to manifest a comprehensive AI-driven real estate property search and matching system. The AI property analysis tool may analyze vast amounts of data, including images, videos, and textual descriptions, to extract meaningful insights about properties. It may utilize machine vision to identify granular property elements from images and videos and generate granular property content using a large language model and generative AI. This analysis may be essential for determining the best matching properties based on the buyer's desired property criteria.
The AI property interaction tool may engage with the luxury property buyer to discuss and provide interactive information about the luxury real estate property granular components, property areas usage stories, and backstories. This interaction may involve the use of a conversational AI system, an avatar, or a hologram, facilitating a dynamic and engaging dialogue with the consumer. The integration of these systems may consider both the practical and emotional needs of the buyer, enhancing the overall property search and matching experience.
The system of databases may also facilitate the storage of luxury property components, listings, and stories, which may be crucial for the AI-driven matching process. By capturing and storing detailed property data, the system of databases may enable a more efficient and personalized property search experience for luxury real estate buyers. This approach may ensure that the best matching properties are presented to the buyer, aligning with their desired property criteria and enhancing their property buying journey.
The AI property interaction tool, identified as component 206, may engage with the luxury property buyer to discuss and provide interactive information about the luxury real estate property granular components, property areas usage stories, and backstories. This engagement may be facilitated through various mediums, including a conversational AI system, an avatar, or a hologram, which may enable a dynamic and engaging dialogue with the consumer. The AI property interaction tool may be designed to interact with the buyer by leveraging advanced AI technologies, which may include natural language processing and machine vision, to ensure a seamless and personalized experience. The tool may be capable of understanding and responding to the buyer's inquiries, thereby enhancing the overall property buying experience. Additionally, the AI property interaction tool may work in conjunction with other components, such as the AI property analysis tool and the luxury property database system, to provide a comprehensive and integrated approach to real estate property search and matching. This collaboration may ensure that the buyer's practical and emotional needs are considered, thereby facilitating a more informed and satisfying property selection process. The AI property interaction tool may also be instrumental in presenting the best matching properties to the buyer, thereby aiding in the decision-making process. Through its interactive capabilities, the AI property interaction tool may significantly contribute to the efficiency and effectiveness of the AI-driven real estate property search and matching system.
The luxury property components, identified as component 402, may serve as an element within the AI-driven real estate property search and matching system. This component may be part of a larger interconnected database system that is designed to store and manage detailed information about luxury properties. The luxury property components may include various granular elements of properties that are essential for facilitating AI-driven matching with potential buyers. These components may be stored in a luxury property database system, which may be configured to capture and store real estate luxury property granular elements, thereby enabling future search and matching with a buyer's desired property criteria.
The luxury property components may be analyzed by an AI property analysis tool, which may utilize machine vision to identify granular property elements from images and videos. This analysis may generate granular property content using a large language model and generative AI, which may be used to match a buyer's desired property areas with luxury real estate properties. The AI property analysis tool may analyze vast amounts of data, including images, videos, and textual descriptions, to extract meaningful insights about properties and create detailed property content. This process may help in determining the best matching properties for a buyer based on their desired property criteria.
Additionally, the luxury property components may be part of a system that includes an AI property interaction tool. This tool may engage with the luxury property buyer to discuss and provide interactive information about the luxury real estate property granular components. The interaction may involve the use of a conversational AI system, an avatar, or a hologram, which may facilitate a dynamic and engaging dialogue with the consumer. This engagement may help in providing a more personalized luxury property buying experience, addressing both the practical and emotional needs of buyers in the luxury real estate market.
Overall, the luxury property components, as part of component 402, may play a role in the Al-driven real estate property search and matching system by storing and managing detailed property data, facilitating AI-driven matching, and engaging with buyers to provide interactive information about properties.
The Luxury Property Tours and Stories component 403 may serve as an element within the Al-driven real estate property search and matching system. This component may be responsible for storing and managing detailed information about luxury property tours and stories, which may include visual and narrative elements that enhance the buyer's understanding and emotional connection to the properties. The component may work in conjunction with the luxury property database system to facilitate the storage of property tours and stories, thereby enabling a repository of property-related data.
The component 403 may utilize AI technologies to analyze and generate property content, which may include capturing and storing real estate luxury property granular elements and backstories in various formats. This process may involve the use of machine vision to identify property elements from images and videos, as well as generative AI to create detailed property content. The component may also facilitate the matching of a buyer's desired property criteria with luxury real estate properties by leveraging the stored property tours and stories, thereby determining the best matching properties for the buyer.
Furthermore, the component 403 may engage with the luxury property buyer by providing interactive information about the properties, which may include property areas usage stories and backstories. This interaction may be facilitated through various mediums such as a conversational AI system, an avatar, or a hologram, allowing for a dynamic and engaging dialogue with the consumer. The component may also integrate with other systems within the AI-driven property analysis and matching system to ensure a seamless and comprehensive property search experience that considers both the practical and emotional needs of the buyer.
In the context of the AI-driven real estate property search and matching system,
The AI-driven property interaction tool can further engage with the buyer by providing interactive information about the property's layout as shown in
This application claims priority to Provisional Patent Application U.S. 63/617,677 filed on Jan. 4, 2024, the entire disclosure of which is hereby incorporated by reference and relied upon.
| Number | Date | Country | |
|---|---|---|---|
| 63617677 | Jan 2024 | US |
