Claims:We Claim:
1. A system to classify user profiles based on multiple factors comprising, the associated marketing tool/ system to target the users through relevant advertisements, with real time real estate data and minimal manual intervention.
2. A system of claim 1, wherein gathering of targeted users based on multiple factors and generation of user profiles in which the multiple factors are demographics, location, purchase history, transaction history etc.; and the location will be based on current residence location, commute to work, etc.; the demographics can include age, gender, income, family size, stage of life cycle, health preferences, language, etc.
3. A system of claim 1 wherein, the user profiles are categorised into similar profile and the system holds multiple such categories.
4. A system of claim 1 wherein, the marketing tool matches the user profiles with relevant real estate data set.
5. A system of claim 4 wherein, the marketing tool targets the matched users through relevant advertisements.
6. A system of claim 1 wherein, the system provides real- time real estate information output.
7. A system of claim 1 wherein, the system requires minimal manual intervention
, Description:Technical Field of the Invention
The subject matter of the invention relates to the field of real estate. More particularly, the invention discloses artificial intelligence-based advertising method and computer application system to identify and target potential buyers, thereby providing detailed real estate information to buyers, agents and brokerage firms. Further, the system is integrated with real time field data and social networking platforms for promoting real estate properties based on financial transaction/purchase data of the target consumers/ buyers.
Background of the Invention
Generally, real estate can be categorised as residential properties: houses, buildings that include rentals; commercial properties: shops, office space and rentals; asset properties: agricultural land and its renting wherein the intrinsic value of the real estate determines its price. Before buying/selling any real estate property, the potential buyers/sellers either hire a real estate agent/broker or obtain the information personally by reading newspapers, magazines or through internet using myriad of online real estate databases.
Conventional real estate search methods have their own cons. For eg., taking help of agents/brokers is a time and labor consuming process and can become a costly affair. Moreover, the asset search using newspaper, magazines is again a time consuming process with hidden threats to it.
The real estate databases/aggregator websites allow their users to access and search for the property information at preferred locations using a Geographic Information System (GIS). Information provided by these sites include local land price, property sale price, property tax price, lease and mortgage information and rent price using an automatic GIS based real estate price calculator. These websites rely on accessing users’ search history data to push advertisements through multiple digital channels. While this method can identify user’s real estate need but fails to identify its ability to pay for the property.

Furthermore, the searches carried out by the users on the real estate sites are manual and time consuming. User has to go through multiple entries to shortlist potential properties. Additionally, the traditional price calculation methods used on these web-based aggregators may not provide real time investment and return rate of the property and usually takes into account the analysis by property experts with no real-time monitoring. Patent application number KR101692521discloses a device that provides and share information regarding real estate though provides a personalised utility system but does not take into consideration the transaction/purchase history data of the target user. To give a technical solution to the above mentioned problems, the current invention approaches to create a self-learning Artificial intelligence based algorithm.
Summary of the Invention
In one embodiment of the invention, an advertising system is provided based on custom profiles of prospective users that would advertise set of real estate properties that corresponds to the interests of custom profiles on behalf of advertisers.
In one embodiment of the invention, the system would not only provide targeted consumer/user with real- time information of the real estate but would also furnish output with minimal manual intervention.
Brief Description of the Drawings
Fig.1 shows an example of process and system for user profile formation in accordance with aspects of the present invention
Fig.2 shows an example of process and system for generation of relevant real estate advertisement for targeted user profiles in accordance with aspects of the present invention.
Fig.3 shows an example of process and system for matching user profile and real estate advertisement in accordance with aspects of the present invention.
Detailed Description of the Invention
There are multiple factors that are important while buying a real estate property most important being the economics related to real estate, parameters related to the property, and behavioural attributes of the consumer. When it comes to searching and buying of a property, the real estate property must match or correspond to the consumer choice. Conventional methodologies to search and buy the real estate fail when consumer preferences are not taken into account. Moreover, these methodologies are time and money consuming processes. However, many of the above mentioned drawbacks can be eliminated by the system disclosed in the present invention.
In the present invention, a system is developed wherein a user data, based on multiple factors related to demographics, location, financial transaction, etc., is procured from various data sources. This data is further analysed using advanced AI-based methods to generate target user profiles wherein the user profiles are further classified into multiple categories.
In the other embodiment of present invention, another system is developed with aggregate the real estate data, based on multiple factors related to real estate price, location, etc., which is extracted to generate advertisements, through AI-based method, wherein the advertisements are further classified into multiple categories.
Another embodiment of the present invention describes a system wherein targeted advertising is performed with respect to real estate and corresponding user profile. Real estate advertisements are matched to target category/categories of user profiles. These targeted advertisements are displayed frequently to the users from the category/categories, enhancing the chance of purchase.
The source of data 101 may include the application extracting user data from various sources such as data from social networking site to which the user has his account linked, data from search engines where the user searches for real estate, data from various digital market place logged in by the user.
The application 102 may include multiple factor data gathering wherein in the present invention include multiple factors such as demographics, location, purchase history, transaction history etc. Location will be based on current residence location, commute to work, etc. Demographics: age, gender, income, family size, stage of life cycle, health preferences, language, etc.
The database 103 may include system to aggregate the data gathered from various sources. This data is further analysed by application 104 to generate target user profiles and further classified into multiple categories 105 such as C1, C2, C3.....Cn.
The real estate source of data 201 may include the application extracting data from various sources such as data from broker/ agent, data from brokerage firms, data from builders or construction firms.
The database 202 may include real estate data based on multiple factors related to real estate such as purchase price, rental price, business property details, brokerage details, loan details, immovable property details, neighbourhood, amenities, recreation, water supply, sewage & waste management, domestic help, layout, size of property, utilities, etc. This data is further listed on the web application 203 such as Ad1, Ad2, Ad3....Adn.
The database 301 may include user profiles categorised as C1, C2, C3......Cn. The database 302 may include list of properties. The application 303 brings about a relevant match between the user profile and real estate ads and hence displays the advertisement to the targeted user through various channels such as social media, search engines and digital market place. Thus targeting user profiles with relevant real estate advertisements may increase the probability of sale/ purchase of the real estate property. While doing so the system would not only provide targeted consumer/user with real- time information of the real estate but would also furnish output with minimal manual intervention.