KR102472820B1 - System and Method for Real Estate Brokerage - Google Patents

Abstract

The present invention relates to a real-estate intermediation system and a real-estate intermediation method of the system. The real-estate intermediation system according to the present invention comprises: an intermediation management device which concludes a real estate transaction between a lessor and a lessee based on transaction information and credit information processed in a process of leasing real estate between the lessor and the lessee; and an artificial intelligence (AI) device which collects the transaction information and credit information, analyzes the collected transaction information and credit information by applying the same to a pre-established neural network, reflects the implementation of the terms and conditions by the lessor and lessee to the credit information, provides price information (or recommended rental condition information) reflecting the risk of the lessee to a rental management terminal of the lessor, and provides rent information (or recommended rental condition information) of the rent based on the credit of the lessee to a lease management terminal of the lessee. According to the present invention, the system can provide a lessor with a rental management tool that considers the credit risk caused by a lessee.

Description

Real estate brokerage system and real estate brokerage method of the system {System and Method for Real Estate Brokerage}

The present invention relates to a real estate brokerage system and a real estate brokerage method of the system, and more particularly, to a real estate brokerage system that reflects credit information of lessors and lessees generated in the real estate lease management process to the real estate lease contract process, and real estate of the system It's about mediation.

In general, in the case of a rental transaction on a real estate transaction platform, when the lessor registers property information such as the address of the rental property, desired rent, management fee, facilities and fixtures on the platform, the lessee reads the information on the platform and expresses intention to lease The parties directly sign contracts on the platform or sign contracts offline through licensed brokers. In the case of a reverse auction platform, if the lessee registers the conditions of the real estate they wish to rent on the platform, the lessor provides information on the property to rent and expresses his or her intention to rent, and the parties sign a contract directly on the platform or through a real estate agent offline. It could be.

At first glance, the impact of rent on real estate rental yield seems to be absolute, but rent arrears by tenants, repair expenses due to careless use of facilities and fixtures, and cancellation of contracts by other tenants due to civil complaints also have an impact that cannot be ignored. And they all have something in common that comes from the lessee's credit risk.

In general, the rental yield rate is the ideal rate of return that can be realized by the rental property, and since factors that negatively affect the rate of return, such as vacancy rates, are not reflected, it is different from the actual rate of return, so real estate lessors are always burdened to reduce it. .

Credit risk caused by the lessee is also a factor that negatively affects the rental yield, but the real estate lease management platform or real estate brokerage platform so far does not support services that reflect the credit risk of lessors and lessees.

In addition, regarding the vacancy rate that negatively affects the rate of return of rental properties, we do not support services such as rental promotion to seek information or alternatives to lower the vacancy rate.

In the real estate rental market so far, the rent is overdue or not, the building is clean or not, and the terms of the lease contract, including the rent, are the same, so the loss incurred by the lessor is burdened only by the lessor, or another good person is required to make up for the loss. Irrational systems that can be passed on to tenants are mainstream.

If the rent is set according to the credit of the lessee, the rent of the lessee with good credit will be lowered because the return on credit risk from the high-risk group can be preserved from them. It would be reasonable for rent to be differentiated according to

Furthermore, the cautious use of rental property facilities and fixtures and the careful behavior of lessors and lessees concerned about credit deterioration will lead to an extension of the replacement cycle of facilities and fixtures and a reduction in disputes between landlords and tenants, contributing to reducing unnecessary social costs. You will be able to.

In view of the above, a system for reasonable real estate transaction or mediation is urgently required in the market.

Korean Patent Publication No. 10-2022-0009791 (2022.01.25) Korea Patent Registration No. 10-2322594 (2021.11.01)

The embodiment of the present invention was invented to improve the above problems, and supports based on artificial intelligence (AI) so that the credit of the lessor and the lessee generated in a series of lease management processes can be reflected in the terms of the lease contract, Real estate that provides the lessor with a reasonable price decision tool that reflects the risk caused by the lessee by reflecting and accumulating the status of fulfillment of contract terms and conditions, and provides the lessee with the opportunity to apply differential rental rates based on his/her credit Its purpose is to provide a brokerage system and a real estate brokerage method of the system.

A real estate brokerage system according to an embodiment of the present invention includes a brokerage management device for concluding a real estate transaction between a lessor and a lessee based on transaction information and credit information processed in the process of leasing real estate between a lessor and a lessee, and the transaction information and the above The credit information is collected and analyzed by applying it to the built-in neural network model, and the status of fulfillment of the terms and conditions of the lessor and the lessee is reflected in the credit information. Condition information is provided, and the lease management terminal of the lessee includes an artificial intelligence (AI) device that provides rent information and recommended lease condition information of the rent based on the credit of the lessee.

The artificial intelligence device may further determine who bears repair costs for facilities and furnishings of the leased building between the lessor and the lessee, and provide information as a result of the determination to the rental management terminal or the rental management terminal.

The real estate brokerage system includes a rental management device that manages rental real estate listing information by communicating with the rental management terminal of the lessor, a rental management device that manages rental real estate listing information by communicating with the rental management terminal of the lessee, and the It further includes a credit management device for managing credit information related to the real estate leasing process of the lessor and the lessee, wherein the artificial intelligence device is configured to link the rental management device and the rental management device to the price information (or recommended rental). condition information) and the rental fee information (or recommended rental condition information).

The lease management device extracts and manages text-based rental real estate information by applying an OCR (Optical Character Reader) function to the lease contract image provided by the lease management terminal, and the lease management device extracts and manages rental property information provided by the lease management terminal. By applying the OCR function to the contract image, you can extract and manage rental property information based on text.

The credit management device processes, as the credit information, evaluation information on civil complaint handling and deposit return behavior information in relation to the lessor, and credit information of the credit information company, rental overdue information, and information on facilities and fixtures in relation to the lessee. Use behavior information, civil complaint information, and special agreement fulfillment information can be processed.

The artificial intelligence device may use at least one of information on rental demand in the surroundings, information on competitiveness of rental properties, and information on quantity of rental properties, including the transaction information and credit information, for recommending the price information or rental conditions. can

The brokerage management device investigates whether the visit is for the purpose of actual demand within a preset period of users accessing the service, reflects the survey result as rental demand, and provides rental properties to the terminals of users who are determined to be visiting for the purpose of actual demand. You can advertise your target.

In addition, in the real estate brokerage method of the real estate brokerage system according to an embodiment of the present invention, the brokerage management device concludes a real estate transaction between the lessor and the lessee based on the transaction information and credit information processed in the process of leasing the real estate between the lessor and the lessee. Step, and an artificial intelligence (AI) device collects the transaction information and the credit information, analyzes them by applying them to the built-up neural network model, and reflects the status of fulfillment of the terms of the contract between the lessor and the lessee in the credit information The lessor's rental management terminal provides price information (or recommended rental condition information) reflecting the risk of the lessee, and the rental fee information (or recommended rental condition information) of the rental fee based on the credit of the lessee is provided to the rental management terminal of the lessee. It includes steps to

The real estate brokerage method further includes the step of determining, by the artificial intelligence device, a subject to bear repair costs for facilities and fixtures of a rented building between the lessor and the lessee, and providing information as a result of the determination to a rental management terminal or a rental management terminal. can include

The real estate brokerage method includes the steps of the rental management device communicating with the rental management terminal of the lessor to manage rental real estate listing information; The step of managing credit information related to the process of leasing the real estate of the lessor and the lessee, by the credit management device, wherein the artificial intelligence device further includes: The price information (or recommended rental condition information) and the rent information (or recommended rental condition information) may be processed in conjunction with each other.

The rental management device extracts and manages text-based rental real estate information by applying the OCR function to the lease agreement image provided by the rental management terminal, and the rental management device extracts and manages the lease agreement image provided by the rental management terminal. OCR function can be applied to extract and manage rental property information based on text.

The credit management device processes, as the credit information, evaluation information on complaint handling and deposit return behavior information in relation to the lessor, and credit information of the credit information company, rental overdue information, and use of facilities and fixtures in relation to the lessee. Behavioral information, civil complaint-inducing information, and special agreement fulfillment information can be processed.

The artificial intelligence device may use at least one of information on rental demand in the surroundings, information on competitiveness of rental properties, and information on quantity of rental properties, including the transaction information and credit information, for recommending the price information or rental conditions. can

The brokerage management device investigates whether the visit is for the purpose of actual demand within a preset period of users accessing the service, reflects the survey result as rental demand, and provides rental properties to the terminals of users who are determined to be visiting for the purpose of actual demand. You can advertise your target.

On the other hand, the real estate brokerage system (linked with the lease management system reflecting the credit information of the lessor and the lessee) according to the present invention for achieving the above object collects information on the rental property to be managed, and based on this, the lease agreement and the lease agreement A lease management server that performs lease management processes such as condition management, tenant complaint management, and tenant evaluation; A lease management server that collects information on leased real estate subject to management and, based on this, conducts lease management processes such as management of lease contracts and terms of lease contracts, management of civil complaints, and lessor evaluation; Collects rental real estate property information from the rental management server and rental management server, registers and manages it in a real estate brokerage application (hereinafter referred to as App) or web page, writes a lease contract, real estate brokerage app or web page visitor's actual demand information Intermediary management server that performs collection, etc.; A credit management server that manages the lessor's credit and the lessee's (or prospective lessee's) credit; The rental property (or rental property) information collected from the rental management server and the rental management server is applied to the built-in neural network model to calculate information such as the appropriate rent (or appropriate rental fee) of the rental property (or rental property) , Creates recommended rental conditions (or recommended rental conditions) information, and includes an AI server that determines the subject of rental housing facilities and furniture repair costs.

The rental management server may collect information on the rental property from the lease contract image of the rental property captured by an imaging device of a rental management terminal such as a mobile phone (or scanned through a scanner). At this time, the rental management server may extract information on the rental property as text data from the rental agreement image using an OCR function.

In addition, the rental management server receives information on the rental property to be managed from the rental management terminal, or when address information is input from the rental management terminal, the rental management server may collect information on the rental property from the rental management server, public data server, or real estate data server. . At this time, the rental management server may extract the information of the rental property as text data using technologies such as an API (Application Programming Interface) and a crawler.

The information of the rental property includes the address information of the rental property, land designation information, building structure information, building use information, building area information, construction year information, leased area information, facility and furniture information, cheonsei type information, deposit information, monthly rent Amount information, monthly rent payment date information, lease period information, special lease agreement information, lessor name information, lessor cell phone number information, lessee name information, lessee cell phone number information, etc. are included.

The rental management server includes some information on the rental property (e.g., address information, area information, cheonsei type information, etc.) and additional information (e.g., desired deposit information, desired rent information, desired rental period information, etc.), The lessor's credit information (e.g., civil complaint processing evaluation information, deposit return behavior information, etc.) can be transmitted to the AI server, and appropriate rent information and recommended rental promotion information can be collected from the AI server.

The rental management server determines the conditions of the rental agreement with the rental management server via the mediation management server, and from the final rental agreement generated by the mediation management server, the relevant information of the rental property, such as the monthly rent information, deposit information, monthly rent information, and lessee information. can be collected and registered, or previously collected information can be changed to new information.

The rental management server may generate and perform a lease contract condition fulfillment process based on the collected information on the rental property, and transmit the fulfillment result information to the credit management server.

The rental management server provides civil complaint information (e.g., whether or not to accept civil complaints, scheduled date for processing civil complaints, etc.) Processing result information and complaint handling evaluation questionnaires can be transmitted to the rental management server.

The rental management server may transmit civil complaint information related to rental housing facilities and furniture repair among the civil complaint information to the AI server, and may receive determination information on the subject of rental housing facilities and furniture repair costs from the AI server, which may be used for rental management. can be sent to the server. For example, determination information such as whether the lessor or the lessee is the burdening entity may be received in relation to replacement of consumables such as lamps.

The rental management server may collect information on the rental property from the lease contract image of the rental property captured by an image capture device of a rental management terminal such as a mobile phone (or scanned through a scanner). At this time, the lease management server may extract information on the leased property as text data from the lease contract image by using an OCR function.

In addition, the rental management server receives information on the rental property to be managed from the rental management terminal, or when address information is input from the rental management terminal, the rental management server, public data server, or real estate data server may collect information on the rental property. . At this time, the rental management server may extract information on the rental property as text data using technologies such as APIs and crawlers.

The information of the rental property includes address information, area information, construction year information, lease contract floor and area information, facilities and fixtures information, monthly rent classification information, deposit information, monthly rent information, lessor name information, lessee name information, etc. This is included.

The rental management server includes some of the information on the rental property (eg, address information, area information, information on the classification of monthly and monthly rent, etc.) and additional information (eg, desired deposit information, desired rental fee information, desired rental period information, etc.) The credit information of the lessee (or prospective renter) (for example, credit information of a personal credit information company, rental overdue information, etc.) can be transmitted to the AI server, and appropriate rental fee information and recommended rental conditions information can be collected from the AI server. have.

The rental management server determines the terms of the rental agreement with the rental management server via the mediation management server, and from the final rental agreement generated by the mediation management server, the rental property information such as the monthly rent classification information, the deposit information, the monthly rent amount information, the lessee information, etc. Corresponding information can be collected and registered, or existing registered information can be changed to new information.

The lease management server may generate and perform a lease contract condition fulfillment process based on the collected information on the leased property, and transmit the fulfillment result information to the credit management server.

The rental management server transmits civil complaint information such as the type of civil complaint, details of civil complaint, and desired processing deadline to the rental management server, and receives civil complaint information, civil complaint processing result information, and civil complaint processing evaluation questionnaire from the rental management server, and handles civil complaints. Evaluation information may be transmitted to the credit management server.

The rental management server may transmit civil complaint information related to rental housing facilities and furniture repair among the civil complaint information to the AI server, and may receive determination information on the subject of rental housing facilities and furniture repair costs from the AI server, which may be used for rental management. can be sent to the server. For example, determination information such as whether the lessor or the lessee is the burdening party may be received in relation to facility repair, such as an air conditioner.

The mediation management server may receive property information of rental real estate from the mediation management terminal, or collect property information of rental property from the rental management server and register them in a mediation app or web page.

The sale information of the rental property includes the address information of the rental property, land designation information, building structure information, building use information, building area information, construction year information, leased area information, facility and furniture information, cheonsei type information, deposit information, Monthly rent amount information, lease period information, lease special agreement information, lessor name information, lessor cell phone number information, etc. may be included.

The mediation management server may transmit property information to the rental management server, receive rental agreement request information for a specific property from the rental management server, and transmit the information to the rental management server. At this time, the lease contract request information may include information for modifying and proposing the lease contract conditions originally registered in the mediation management server.

The mediation management server investigates whether users accessing the mediation app or web page are visiting for the purpose of real-time property search within a preset period, and transmits data to the AI server to identify demand for rental real estate within a preset range can be provided, and visitors for actual demand can be managed as promotional targets.

When the mediation management server receives the lease agreement conditions confirmed from the rental management server and the rental management server, it reflects the rental agreement, prepares the rental agreement, transmits it to the rental management server and the rental management server, and executes the real estate rental agreement electronically. have.

In addition, the mediation management server may transmit the written lease agreement to a licensed realtor through the mediation management terminal, and support printer output so that the contract can be signed offline. At this time, the licensed real estate agent may modify the contents of the rental contract written in the brokerage management server.

The credit management server may collect lessor credit information and lessee credit information from the lease management server and the lease management server.

The credit information of the lessor may include evaluation information on handling civil complaints such as rental real estate facilities and furniture repair, information on deposit return behavior, and the like.

The credit information of the lessee may include credit information of personal credit information companies such as NICE evaluation information and Korea Credit Bureau, information on overdue rent, information on usage patterns of facilities and fixtures of the leased real estate, information on causing civil complaints, information on fulfillment of special contract conditions, and the like.

The credit management server may store the collected lessor credit information and lessee credit information according to preset conditions, and may provide the stored credit information according to requests from the lease management server and the lease management server. At this time, the credit information may be displayed in various ways such as scores or grades for each area.

The AI server applies the information of the rental property (or rental property) collected from the rental management server or the rental management server to the built-in neural network model to determine the appropriate rental fee (or rental property) of the rental property (or rental property). Information may be calculated and provided to the rental management server or the rental management server.

The information of the rental property (or rental property) includes the address information of the rental property (or rental property), construction year information, leased area information, facility and furniture information, monthly rent classification information, desired deposit information, desired monthly rent amount information, hope Lease period information, etc. may be included.

The AI server connects to the Ministry of Land, Infrastructure and Transport actual transaction price disclosure system server, proptech (online service that combines IT technology with real estate) server, etc. to obtain rental market information on rental properties within a preset range centering on the rental property. can be collected Here, the rental market information may include address information of rental real estate within a predetermined range, cheonsei and monthly rent classification information, area information, contract date information, security deposit information, monthly rent amount information, construction year information, and the like.

The AI server creates a recommended rental promotion (or recommended rental conditions) in consideration of the appropriate rental fee (or appropriate rental fee) information, the lessor's (or lessee's) desired rental conditions, credit information, etc. can be provided to the management server.

The AI server applies civil complaint information related to rental housing facilities and furniture repair from the rental management server or rental management server to the built-in neural network model to determine the subject of rental housing facilities and furniture repair costs, and the result is displayed on the rental management server or It can be transmitted to the rental management server.

According to an embodiment of the present invention, a real estate brokerage system (a lease management system that reflects credit information of lessors and lessees and associated therewith) can improve the credit of stakeholders who have not been considered when determining prices while leasing valuable assets such as real estate. By organically reflecting the overall management of rental real estate and using it based on AI, it provides the lessor with a rental management tool that takes into account the credit risk of the lessee, and provides the lessee with the opportunity to apply differential rental rates suitable for their credit. .

In addition, the embodiment of the present invention can contribute to establishing a fair transaction order by giving both the lessor and the lessee the burden of reputation management by reflecting the status of fulfillment of the terms of the lease contract during the lease contract period in credit.

1 is a diagram illustrating a real estate brokerage system according to an embodiment of the present invention;
2a and 2b are diagrams showing a real estate brokerage process according to an embodiment of the present invention;
3 is a block diagram illustrating the detailed structure of a real estate brokerage device according to an embodiment of the present invention, and
4 is a flowchart illustrating a driving process of the real estate brokerage device of FIG. 3 .

Hereinafter, a real estate brokerage system and a real estate brokerage method of the system (a lease management system reflecting credit information of a lessor and a lessee and linked thereto) according to an embodiment of the present invention will be described in detail with reference to the accompanying drawings. The present invention can be applied with various changes and can have various forms. Here, a specific embodiment will be described in detail by exemplifying the drawing. However, this is not intended to limit the present invention to a specific form disclosed, and should be understood to include all modifications, equivalents, and substitutes included in the spirit and scope of the present invention.

1 is a diagram illustrating a real estate brokerage system according to an embodiment of the present invention.

As shown in FIG. 1, the real estate brokerage system 90 according to an embodiment of the present invention is a system in which a lease management system 99 that reflects credit information of lessors and lessees is linked, and includes a lease management server 100, Rental management terminal 110, rental management server 120, rental management terminal 130, mediation management server 140, mediation management terminal 150, credit management server 160, artificial intelligence (AI) server 170 ), and may further include a communication network (not shown).

Here, "including some or all" means that some components such as the AI server 170 are omitted so that the real estate brokerage system 90 is configured or some components such as the AI server 170 are intermediary management server 140 It means that it can be integrated and configured with other components such as, and will be described as including all to help a sufficient understanding of the invention.

Prior to the detailed description, although a server was exemplified in FIG. 1 for convenience of description, it will not be specifically limited to being a server. In this sense, the server in FIG. 1 may be referred to as a 'device'. In other words, for example, the lease management server 100 may be a lease management device, the lease management server 120 may be a lease management device, and the mediation management server 140 may be a mediation management device. In addition, in FIG. 1, although a plurality of servers are shown to be linked through an internal network (eg, intranet) or a communication network according to functions such as the rental management server 100 and the rental management server 120, one server or device ( Example: It is also possible to implement a plurality of functions in the real estate brokerage device 290 of FIG. 3, etc.). In other words, it may be operated in the form of an integrated server, and in this case, the lease management system 99 of FIG. 1 may be configured as a real estate brokerage device. Accordingly, the rental management server 100 may be a rental management unit, the rental management server 120 may be a rental management unit, the credit management server 160 is a credit management unit, and the AI server 170 is an artificial intelligence can be a part, etc.

The rental management server 100 collects information on the rental property subject to management and, based on this, performs rental management processes such as management of lease agreements and rental agreement conditions, management of tenant complaints, and evaluation of tenants.

The rental management server 100 receives the information of the rental property from the rental management terminal 110, or the rental contract image of the rental property transmitted through an image capturing device or scanning device of the rental management terminal 110 such as a mobile phone camera or a scanner. Collect information on rental properties from At this time, the rental management server 100 extracts the information of the rental property as text data from the rental contract image using an OCR (Optical Character Reader) function.

In addition, the rental management server 100 may collect information on the rental property from the rental management server 120, the public data server, and the real estate data server based on the identification information when the identification information for the rental property is input. Here, the identification information includes the address and unique number of the rental property. The public data server and real estate data server include an Internet registry office, government24, and a real estate agent property information sharing system that is connected to a plurality of real estate agent terminals in the area where the rental property is located.

Rental property information includes address information of rental property, land designation information, building structure information, building use information, building area information, building year information, leased area information, facility and furniture information, monthly rent classification information, deposit information, monthly rent amount information , monthly rent payment date information, lease period information, special lease agreement information, lessor name information, lessor cell phone number information, lessee name information, lessee cell phone number information, etc. may be included.

The rental management server 100 includes some of the information on the rental property (eg, address information, leased area information, cheonsei type information, etc.) and additional information (eg, desired deposit information, desired rent information, desired rental period information, etc.) ) is transmitted to the AI server 170, and appropriate rental information based on the pre-constructed neural network model is received from the AI server 170 and recommended promotion information for rental promotion is received to the rental management terminal 110 for determining lease conditions. information can be provided.

The rental management server 100 receives rental agreement request information from the rental management server 120 via the brokerage management server 140 . Here, the information requested for the lease agreement includes information on the intention to rent, information on rental conditions including desired rent, credit information of the applicant (e.g., NICE rating information, credit score of personal credit information companies such as Korea Credit Bureau, and rental overdue information) , rental real estate fixtures and facility use behavior information, frequency of civil complaints, etc.) are included.

After the lease management server 100 confirms the terms of the lease contract through an adjustment process of exchanging lease agreement condition information with the lease management server 120 through the mediation management server 140, based on this, the brokerage management server 140 Receive the generated confirmed rental agreement and sign it electronically to conclude the rental agreement.

The rental management server 100 collects relevant information such as information on the classification of rental property, security deposit information, monthly rent amount information, monthly rent payment date information, lease period information, special lease agreement information, lessee name information, and lessee mobile phone number information from the confirmed lease contract. You can register or change the previously collected information to new information.

The lease management server 100 creates and performs a lease contract condition fulfillment process based on the information on the rental property collected from the lease contract and the lease management server 120, etc., and transfers the lease contract condition fulfillment result information to the credit management server 160. send to

The lease agreement fulfillment process sends a request for fulfillment of the terms of the lease contract to be fulfilled (for example, rent payment date and amount to be paid, photo transmission to check cleanliness, etc.) to the lease management server periodically or non-periodically according to the contents. It is a process of transmitting to (120) and receiving implementation result information therefor from the rental management server (120). The transition result information may include not only text data but also image and video data.

At this time, if the lease management server 100 cannot access the lease management server 120 (for example, when the lessee does not use the lease management server), the lease management server 100 requests fulfillment of the terms of the lease agreement. A separate lease agreement fulfillment management page can be operated to transmit and receive information on the fulfillment result. Here, the lessee may access a separate lease agreement fulfillment management page through a link transmitted to SNS (Social Network Service) or the like.

The lease management server 100 may regenerate the lease contract condition fulfillment process by reflecting the lease contract condition fulfillment result information in the lease contract condition fulfillment process. For example, if the rental fee is reduced or exempted on the condition that the rental fee is not overdue, but the rental fee is overdue, a process of claiming the non-reduced amount when requesting the next rental fee can be implemented.

When the rental management server 100 receives civil petition information from the rental management server 120, it transmits the civil petition reception information, civil petition processing result information, and evaluation questionnaires for civil petition processing to the rental management server 120. Here, the civil petition information may include the type of civil petition, the details of the civil petition, and the deadline for requesting processing, and the civil petition information may include whether the civil petition is accepted or not, and the expected date of processing the civil petition.

The rental management server 100 transmits civil complaint information related to rental housing facilities and furniture repair among civil complaint information to the AI server 170, and receives information on the subject of rental housing facilities and furniture repair costs from the AI server 170, This may be transmitted to the rental management server 120 . For example, determination information such as whether the lessor or the lessee may receive the burden in relation to replacement of consumables such as lamps may be received.

In addition, the lease management server 120 collects information on the leased real estate to be managed, and based on this, performs lease management processes such as lease contract and lease condition management, civil complaint management, and lessor evaluation.

The rental management server 120 receives information on the rental property from the rental management terminal 130, or lease contract image of the rental property transmitted through an image capturing device or scanning device of the rental management terminal 210 such as a mobile phone camera or scanner. Collect information on rental properties from At this time, the rental management server 120 extracts information on the rental property as text data from the rental agreement image using the OCR function.

In addition, the rental management server 120 can collect the information of the rental property from the rental management server 100, the public data server, and the real estate data server based on the identification information when the identification information for the rental property is input. Here, the identification information includes the address of the rental property, a unique number, and the like. The public data server and the real estate data server include an Internet registry office, government24, and a real estate agent property information sharing system that is connected to a plurality of real estate agent terminals in the area where the rental property is located.

Information on leased real estate includes information on the address of the leased property, land designation information, building structure information, building use information, building area information, construction year information, leased area information, facility and furnishing information, cheonsei type information, deposit information, monthly rent amount information , monthly rent payment date information, lease period information, special lease agreement information, lessor name information, lessor cell phone number information, lessee name information, lessee cell phone number information, etc. may be included.

The rental management server 120 collects some of the information on the rental property from the brokerage management server 140 and the credit information of the lessee (or the lessee) from the credit management server 160, and additional information (eg For example, desired deposit, desired rental fee, desired rental period, etc.) are transmitted to the AI server 170, and appropriate rental fee information and recommended rental condition information based on the pre-constructed neural network model can be received from the AI server 170. have. Here, the credit information of the lessee (or prospective renter) may include NICE evaluation information, credit score of personal credit information companies such as Korea Credit Bureau, information on overdue rent, information on usage of rental real estate facilities and furniture, information on causing civil complaints, etc. .

In addition, the rental management server 120 may collect credit information of the lessor from the credit management server 160 via the rental management server 100 . Here, the lessor's credit information may include deposit return behavior information, complaint handling evaluation information, and the like.

The lease management server 120 goes through an adjustment process of exchanging lease agreement condition information with the lease management server 100 via the mediation management server 140 to confirm the terms of the lease agreement, and then, based on this, in the brokerage management server 140 Receive the generated confirmed rental agreement and sign it electronically to conclude the rental agreement.

The lease management server 120 collects relevant information from the confirmed lease contract, such as information on the classification of rental property, security deposit information, monthly rent amount information, monthly rent payment date information, lease period information, special lease agreement information, lessor name information, and lessor mobile phone number information. You can register or change the previously collected information to new information.

The lease management server 120 can generate and perform a lease agreement condition fulfillment process based on the lease contract or information on the leased property collected from the lease management server 100, etc., and transmit the fulfillment result information to the credit management server 160. have.

In the lease contract condition fulfillment process, the lease management terminal 130 receives information on the fulfillment result of the lease contract conditions to be fulfilled (eg, rent payment date, rent amount to be paid, photo transmission to check cleanliness, etc.) The process of transmitting to the server 100 and receiving confirmation information on the transmitted implementation result information from the rental management server 100 is included. The transition result information may include not only text data but also image and video data.

When the lease management server 120 cannot access the lease management server 100 in performing the process of fulfilling the lease terms (for example, when the lessor does not use the lease management server), the lease management server 120 may operate a separate lease agreement fulfillment management page capable of receiving fulfillment confirmation information from the lessor on the lease agreement fulfillment result information and transmitting the confirmed fulfillment result information to the credit management server 160. Here, the lessor can access a separate lease agreement fulfillment management page through a link transmitted through SNS or the like.

The lease management server 120 may regenerate the lease contract condition fulfillment process by reflecting the fulfillment result information in the lease contract condition fulfillment process. For example, if the rent is reduced on the condition that the rent is not overdue, but the rent is overdue, a process for sending a notification of the non-reduced amount when sending a notification of the next rent to be paid can be implemented.

The rental management server 120 transmits civil petition information to the rental management server 100, and receives the civil petition reception information, civil petition processing result information, and evaluation questionnaires for civil petition processing from the rental management server 100. Here, the civil petition information may include the type of civil petition, the details of the civil petition, and the deadline for requesting processing, and the civil petition information may include whether the civil petition is accepted or not, and the expected date of processing the civil petition.

In processing civil complaint information, if the lease management server 120 cannot access the lease management server 100 (for example, when the lessor does not use the lease management server), the lease management server 120 provides civil complaint information A separate civil complaints management page can be operated to receive civil complaints reception information, civil petitions handling result information, and civil complaints handling evaluation questionnaires. Here, the landlord can access a separate civil complaint management page using a link transmitted through SNS, etc.

The result information of the evaluation survey on handling civil complaints is transmitted to the credit management server 160 and reflected in the lessor's credit information.

The rental management server 120 transmits civil complaint information related to rental housing facilities and furniture repair among civil complaint information to the AI server 170, and receives determination information on the subject of rental housing facilities and furniture repair costs from the AI server 170, , It can be transmitted to the rental management server (100). For example, determination information such as whether the lessor or the lessee may receive the burden in relation to replacement of consumables such as lamps may be received.

Brokerage management server 140 collects rental real estate property information from rental management server 100 and rental management server 120, registers and manages real estate brokerage app or web page, writes lease contract, real estate brokerage app or web Collect information on the actual demand of page visitors.

The brokerage management server 140 receives the property information of the rental property from the brokerage management terminal 150, or receives the property information of the rental property from the rental management server 100 and registers it as a rental property in the brokerage app or web page. Rental property information includes address information of rental property, land designation information, building structure information, building use information, building area information, construction year information, leased area information, facility and furniture information, cheonsei type information, deposit information, monthly rent amount Information, lease period information, lease special agreement information, lessor name information, lessor cell phone number information, etc. may be included.

In addition, the brokerage management server 140 transmits rental real estate property information to the rental management server 120, and receives rental contract request information from the rental management server 120 that wants to rent a specific property, and transmits it to the rental management server ( 100). The rental agreement request information may include information for requesting a rental agreement by accepting the rental agreement originally registered in the brokerage app or web page, as well as information for modifying and proposing the originally registered rental agreement terms.

The brokerage management server 140 collects information about whether the visit is for searching for a rental property for the purpose of real demand within a preset period from users accessing the mediation app or web page and information on the rental property search area, and sends it to the AI server 170. and manage actual demand-purpose visitors as promotional targets.

The brokerage management server 140 is the rental management server 100 and the lease management server 120 and the confirmed lease contract conditions reached an agreement and the personal information of the lessor and the lessee (eg, name, resident registration number, address, mobile phone number, etc.) ) Upon reception, a lease contract can be prepared by reflecting it and transmitted to the lease management server 100 and the lease management server 120 to perform a real estate lease contract electronically.

The real estate lease contract written in the brokerage management server 140 can be used for an offline lease contract through review and correction by a licensed real estate agent using the brokerage management terminal 150 instead of an electronic contract using an electronic signature, and printer output.

The credit management server 160 manages the credit of the lessor and the credit of the lessee (or prospective tenant) of the rental property.

The credit management server 160 receives consent to collect personal credit information from the lessor and the lessee through the rental management terminal 110 and the rental management terminal 130, and the credit management server of the personal credit information company (for example, NICE Evaluation information, Korea Credit Bureau, etc.), rental management server 100, and rental management server 120 may collect and store credit information of lessors and lessees. The lessor's credit information may include evaluation information on handling civil complaints (for example, evaluation information on civil complaints about repairing facilities and fixtures in rental real estate, etc.), information on deposit return behavior, and the like. The lessee's credit information may include credit information from personal credit information companies such as NICE rating information and Korea Credit Bureau, information on overdue rent, information on usage patterns of facilities and fixtures in the leased property, information on civil complaints, and information on fulfillment of special contract conditions.

The credit management server 160 receives consent for the use of personal credit information and provision of information from the lessor and the lessee through the rental management terminal 110 and the rental management terminal 130, and transmits the credit information of the lessor and the lessee to the rental management server ( 100) and the rental management server 120.

The credit management server 160 may display the credit information of the lessor and the lessee as a rating or score, and information obtained by combining the rating and the score. For example, the credit management server 160 evaluates the tenant's credit information in a three-digit scoring system (score for overdue sector) (score for rental property use behavior) (score for civil complaints), from 1 to 9 for each sector. and can be displayed in combination.

The AI server 170 applies the rental property (or rental property) information collected from the rental management server 100 and the rental management server 120 to the built-in neural network model to provide an appropriate rent for the rental property (or rental property). It calculates information such as (or appropriate rental fee), generates information on recommended rental conditions (or recommended rental conditions), and determines who bears the cost of repairing rental housing facilities and fixtures.

The AI server 170 applies the information on the rental property (or rental property) received from the rental management server 100 or the rental management server 120 to the built-in first neural network model to obtain an appropriate rent (or appropriate rental property) for the rental property. Rent) information is calculated and transmitted to the rental management server 100 or the rental management server 120. Information on rental real estate (or leased real estate) may include address information, building year information, leased area information, facilities and furnishings information, cheonsei type information, desired deposit information, desired monthly rent amount information, desired rental period information, etc.

In addition, the AI server 170 considers the appropriate rental fee (or appropriate rental fee) information, the lessor's (or lessee's) desired rental conditions, the lessor's (or lessee's) credit information, the number of rental items within the preset range, and the deterioration of the facility. Then, a recommended rental promotion (or recommended rental conditions) may be generated and transmitted to the rental management server 100 or the rental management server 120 . For example, the AI server 170 raises the deposit to 10 million won when a prospective tenant with low credit due to a history of overdue applies for a 2-year lease contract for a one-room studio where a deposit of 5 million won and a monthly rent of 500,000 won are calculated as appropriate rent. It is possible to generate a recommended rental promotion to be transmitted to the rental management server 100 .

The AI server 170 applies information related to rental housing facilities and furniture repair among the civil complaint information received from the rental management server 100 or rental management server 120 to the built-in second neural network model to rent housing facilities and furniture. It is possible to determine the subject bearing the repair cost and transmit the result to the rental management server 100 or the rental management server 120 . For example, determination information such as whether the lessor or the lessee may transmit information related to replacement of consumables such as lamps.

The neural network model may include a deep neural network (DNN), for example, a Convolutional Neural Network (CNN), a Deep Neural Network (DNN), a Recurrent Neural Network (RNN), a Restricted Boltzmann Machine (RBM), and DBN. (Deep Belief Network), BRDNN (Bidirectional Recurrent Deep Neural Network), or deep Q-Networks (Deep Q-Networks), but is not limited to the above examples.

The first neural network model is built in advance by processing a large number of rental real estate sample data including information such as address, monthly rent category, rental area, contract date, deposit, and monthly rent amount according to supervised learning techniques.

First, the information collection module accesses a public data server or a real estate data server and collects information on a corresponding sample rental property. At this time, the information collection module may collect the corresponding information by using an API, a crawler, or the like. The information of the sample rental property includes address information, monthly rent classification information, rental area information, contract date information, deposit information, monthly rent amount information, construction year information, etc. The public data server may include the actual transaction price disclosure system server of the Ministry of Land, Infrastructure and Transport, and the real estate data server may include a real estate agent property information sharing system server connected to a plurality of real estate agent terminals in the area where the rental property is located, proptech (real estate online service that grafts IT technology into) server, etc. may be included.

Next, the information on the sample rental properties collected in the information collection module is accumulated in the database in the data analysis module and turned into big data. At this time, the data analysis module pre-processes big data data through data profiling, data structuring, data cleansing, and data transformation. The preprocessed sample data is processed according to the supervised learning technique to build a first neural network model.

The second neural network model is built in advance by processing a large number of sample data including information on the person paying the rent and monthly rent repair cost according to the supervised learning technique.

First, the information collection module accesses a search portal server, SNS server, public data server, etc. and collects corresponding sample case information. At this time, the information collection module may collect the corresponding information using an API, a crawler, and the like. The sample case information includes newspaper articles, SNS posts, court precedents, etc. related to the dispute over the cost of home repair.

Next, the sample case information collected in the information collection module is accumulated in the database in the data analysis module and turned into big data. At this time, the data analysis module pre-processes big data data through data profiling, data structuring, data cleansing, and data transformation. The preprocessed sample data is processed according to the supervised learning technique to build a second neural network model.

Hereinafter, a preferred embodiment of the present invention will be described in detail with reference to the accompanying FIGS. 2A and 2B. Advantages and features of the present invention, and methods of achieving them, will become clear with reference to the embodiments described below in conjunction with the accompanying FIGS. 2A and 2B. However, the technical idea of the present invention is not limited to the following embodiments and can be implemented in various different forms, only the following embodiments complete the technical idea of the present disclosure, and are common in the technical field to which the present invention belongs. It is provided to fully inform those skilled in the art of the scope of the present invention.

Figures 2a and 2b is a diagram showing a real estate brokerage process according to an embodiment of the present invention, A-A ', B-B', C-C' represents the respective connected parts.

2a and 2b, a real estate lease management and brokerage process using a real estate brokerage system and a real estate brokerage method of the system (a lease management system reflecting credit information of lessors and lessees and associated therewith) is displayed as a ladder diagram. have.

Referring to the drawing, the rental management server 100 recognizes the lease contract image from the video recording device (eg, mobile phone camera, etc.) of the rental management terminal 110 and collects information on the rental property using the OCR function. Information on rental real estate includes address information, land designation information, building structure information, building use information, building area information, construction year information, leased area information, cheonsei type information, deposit information, monthly rent amount information, monthly rent payment date information, and lease period information , lease special agreement information, lessor name information, lessor cell phone number information, lessee name information, lessee cell phone number information, etc. may be included. Since this is a process for registering a rental property, lessee-related information is excluded from collection.

When the rental property information is registered, the rental management server 100 transmits information necessary for calculating the appropriate rental rate to the AI server 170 in order to determine the appropriate rental rate of the real estate reflecting the market price (S200). At this time, information necessary for calculating the appropriate rent may include address information, leased area information, cheonsei and monthly rent classification information, deposit information, construction year information, and the like.

The AI server 170 applies the information necessary for calculating the appropriate rent to the built-in neural network model to calculate the appropriate rent, and transmits the information to the rental management server 100 (S201). At this time, the AI server 170 may compare the lessor's desired lease contract condition information and the calculated appropriate rent information, generate a recommended rental promotion, and transmit it to the rental management server 100. For example, if the appropriate rent is calculated as a deposit of 5 million won and a monthly rent of 450,000 won, but the lessor's desired rental rate is a deposit of 5 million won and a monthly rent of 500,000 won, the AI server 170 is rented for free for one month during the contract period or the contract period ends. After that, you can send recommended promotions such as bonus free rental conditions for one month. In this case, it would be possible to secure a profit of 150,000 won compared to the case where the appropriate rent of 450,000 won was applied without lowering the rent.

The rental management server 100 registers the rental conditions of the rental property by referring to the appropriate rental information and recommended rental promotion information received from the AI server 170, and transmits the sale information of the rental property to the brokerage management server 140. (S202). At this time, the rental management server 100 may transmit conditional rental conditions reflecting the credit rating of the person wishing to rent. For example, if the prospective tenant's NICE credit score is 700 or less, or if the prospective tenant has a record of rent arrears in another lease contract for the past year, the rental condition such that the rent is applied from 500,000 won to 520,000 won will be sent. can

The mediation management server 140 receiving the property information including rental conditions from the rental management server 100 registers the rental property information in the mediation app or web page (S203).

On the other hand, the rental management server 120 accesses the mediation management server 140 to view rental property information, requests the mediation management server 140 to provide information on a specific rental property, and receives information on a specific rental property ( S204).

The rental management server 120 may receive the credit information of the prospective tenant through the credit management server 160 when the rental property information of the rental property includes the credit conditional rental conditions of the prospective tenant (S205). At this time, the credit management server 160 receives consent for collection and utilization of personal credit information through the rental management server 120 and the rental management terminal 210 . The lessee's credit information may include credit information from personal credit information companies such as NICE rating information and Korea Credit Bureau, rental overdue information, information on usage patterns of facilities and fixtures in the leased property, information on civil complaints, and information on fulfillment of special contract conditions. For example, if the conditions for refusal of a lease contract include when the prospective tenant's NICE credit score is 700 or less or when the prospective tenant has overdue information in another lease contract for the past year, the prospective tenant proves that this is not applicable. It is possible to request the transmission of credit information to the credit management server 160 and receive the result.

In addition, the rental management server 120 receives consent for the provision and utilization of personal credit information from the lessor through the rental management server 100 and the rental management terminal 110, and receives the lessor's credit information from the credit management server 160. It can (S206). At this time, the lessor's credit information may include evaluation information on handling complaints, information on deposit return behavior, and the like. For example, if a prospective renter is concerned about repairs due to the aging of facilities and furniture in the rental property, the prospective renter resolves his concerns by reading evaluation information on the lessor's civil complaints through the credit management server 160 and contracts will be able to conclude

Through the above process, the rental management server 120 registers the rental agreement request information for the specific rental property for which the rental agreement is desired, and transmits it to the rental management server 100 via the mediation management server 140 (S207) . At this time, the rental management server 120 may transmit credit information of the person wishing to rent together.

Upon receiving the rental contract request information, the rental management server 100 may transmit the credit information of the prospective tenant to the AI server 170 and request and receive recommended rental promotion information reflecting the same (S208). The rental management server 100 may modify the rental conditions with reference to the information and transmit the modified rental conditions to the rental management server 120 via the mediation management server 140 (S209). For example, if the rent arrears information for the last 1 year of the lessee is slight, the AI server 170 creates rental promotion information under the condition that the rent is increased when the rent is overdue during the contract period, and the rental management server 100 can be sent to

When the modified lease conditions are accepted through the coordination process, the lease management server 120 transmits the confirmed lease contract conditions to the lease management server 100 via the mediation management server 140, and the lease management server 100 transmits the lease agreement The conditions are confirmed and transmitted to the mediation management server 140 (S210).

The brokerage management server 140 generates a lease contract by reflecting the confirmed lease agreement conditions received from the lease management server 100 and the lease management server 120, and the lease management server 100 and the lease management server 120 It is possible to perform an electronic contract by transmitting (S211). At this time, the brokerage management server 140 may modify the lease contract through the brokerage management terminal 310, and may support output of the lease contract through a printer so that the contract can be signed off-line through a licensed realtor.

The lease management server 100 and the lease management server 120 collect information on the rental property from the lease contract confirmed through the above process and generate lease management (or lease management) information (S212). Lease management (or lease management) information may include the date of payment of rent, the amount of rent, special contract conditions to be fulfilled, and the like.

Lease management information can be created and synchronized in one of the lease management server 100 or the lease management server 120, and if one of the lessor or lessee does not use the system and cannot synchronize, the server in use Direct rental management (or rental management) information can be created.

The rental management server 100 transmits the rental payment due date, the amount of rent to be paid, and special terms and conditions to be fulfilled to the rental management server 120 based on the rental management information, and the rental management server 120 transmits the rental payment information and special terms and conditions. etc., the transition result information is returned (S213). If the lessee does not use the system, the rental management server 100 may transmit the rental management information through SNS or the like, and collect implementation result information through a separate link page transmitted. In addition, when the lessor does not use the system, the lease management server 120 transmits the lease management information through SNS, etc., and collects the lessor's confirmation information about the implementation result information through a separate link page transmitted. have.

The lease management server 100 or the lease management server 120 transmits the tenant's performance result information to the credit management server 160, and the credit management server 160 updates the borrower's credit information by reflecting the performance result information. , It can be stored (S214).

The rental management server 120 transmits civil complaint information, such as the details of civil complaints and the desired deadline for handling civil complaints, to the rental management server 100, and the rental management server 100 registers civil complaint acceptance information and transmits it to the rental management server 120. (S216). Here, civil petition acceptance information may include whether or not civil petitions have been accepted, civil petition handling methods, civil petition handling deadlines, and the like.

Prior to transmitting the civil complaint information to the rental management server 100, the rental management server 120 requests the AI server 170 to transmit information on the rental housing facility and the subject bearing the repair cost, and the AI server 170 Determination information on the subject may be transmitted to the rental management server 120 and the rental management server 100 (S215).

The rental management server 120 transmits civil complaint processing evaluation information, such as civil complaint processing completion date and civil complaint processing satisfaction, to the credit management server 160, and the credit management server 160 reflects the civil complaint processing evaluation information to the lessor's credit information. can be updated and stored (S217).

In addition, the rental management server 100 and the rental management server 120 may register evaluation information on the lessee and the lessor, respectively, and transmit it to the credit management server 160 to reflect the credit information of the lessee and the lessor ( S218).

Meanwhile, the communication network includes both wired and wireless communication networks. For example, as a communication network, a wired or wireless Internet network may be used or interlocked. Here, the wired network includes an Internet network such as a cable network or a public switched telephone network (PSTN), and the wireless communication network includes CDMA, WCDMA, GSM, EPC (Evolved Packet Core), LTE (Long Term Evolution), and Wibro networks. meaning to include Of course, the communication network according to the embodiment of the present invention is not limited thereto, and can be used as an access network of a next-generation mobile communication system to be implemented in the future, for example, a cloud computing network under a cloud computing environment, a 5G network, and the like. For example, if the communication network is a wired communication network, the access point in the communication network 110 can access an exchange center of a telephone company, but in the case of a wireless communication network, access to an SGSN or GGSN (Gateway GPRS Support Node) operated by a communication company to process data, Data can be processed by connecting to various repeaters such as BTS (Base Transceiver Station), NodeB, and e-NodeB.

A communication network may include an access point. Access points include small base stations such as femto or pico base stations that are often installed in buildings. Here, the femto or pico base station is classified according to the maximum number of lease management terminals 110, lease management terminals 130, or mediation management terminals 150 that can be connected to the small base stations. Of course, the access point includes a short-range communication module for performing short-range communication such as the rental management terminal 110, the rental management terminal 130 or the mediation management terminal 150 and ZigBee and Wi-Fi. The access point may use TCP/IP or Real-Time Streaming Protocol (RTSP) for wireless communication. Here, short-range communication may be performed in various standards such as Bluetooth, ZigBee, infrared (IrDA), RF (Radio Frequency) such as UHF (Ultra High Frequency) and VHF (Very High Frequency), and ultra-wideband communication (UWB) in addition to Wi-Fi. can Accordingly, the access point extracts the location of the data packet, designates the best communication path for the extracted location, and transmits the data packet along the designated communication path to the next device, for example, the lease management server constituting the lease management system 99 ( 100) and so on. An access point may share several lines in a general network environment, and includes, for example, a router, a repeater, and a repeater.

3 is a block diagram illustrating a detailed structure of a real estate brokerage device according to another embodiment of the present invention.

As shown in FIG. 3, the real estate brokerage device 290 according to another embodiment of the present invention is a part or Including everything.

Here, "including some or all" means that some components such as the storage unit 330 are omitted or some components such as the real estate brokerage unit 320 are integrated into other components such as the control unit 310. It means that it can be configured and the like, and will be described as including all in order to help a sufficient understanding of the invention.

The communication interface unit 300 may communicate with the rental management terminal 110, the rental management terminal 130, and the intermediary management terminal 150 of FIG. 1 via, for example, a communication network. In the course of communication, the communication interface unit 300 may perform operations such as modulation/demodulation, muxing/demuxing, encoding/decoding, resolution conversion scaling, etc., which are obvious to those skilled in the art, so further description is omitted. do.

The communication interface unit 300 may conclude a contract between the lessor's lease management terminal 110 and the lessee's lease terminal device 130 for a lease contract of real estate for sale, and the brokerage management terminal 150 mediates real estate transactions. It may include a terminal such as a licensed real estate agent. In this process, the communication interface unit 300 may provide services to the rental management terminal 110 or the rental management terminal 130 based on a web or app.

The communication interface unit 300 can operate under the control of the control unit 310, and the rental management terminal 110 recommends price information (or recommended rental condition information) including the risk of the lessee, that is, information or data by recommendation. , and the rental management terminal 130 may receive rental fee information (or recommended rental condition information) of rental fees determined according to credit information generated through real estate transactions.

The control unit 310 is in charge of overall control operations of the communication interface unit 300 of FIG. 3 , the real estate brokerage unit 320 and the storage unit 330 . When a lease contract image is provided from the rental management terminal 110 or the rental management terminal 130 through the communication interface unit 300, it is temporarily stored in the storage unit 330 and then called and provided to the real estate brokerage unit 320. can do. Through this, the corresponding image can be extracted, stored and managed based on text by applying the OCR function from the real estate brokerage unit 320 .

Above all, the control unit 310 performs an operation for reflecting the lessor's and lessee's credit information generated in the real estate lease management process according to an embodiment of the present invention in association with the real estate brokerage unit 320 in the real estate lease contract process. To this end, the control unit 310 collects transaction information and credit information related to real estate transactions between the lessor and the lessee so that the real estate brokerage unit 320 applies artificial intelligence, that is, a neural network model, so that the analysis is performed. In addition, the control unit 310 may receive the analysis results analyzed by the real estate brokerage unit 320 in a designated format and systematically classify and store them in the storage unit 330 or DB.

The real estate brokerage department 320 supports based on artificial intelligence (AI) so that the credit of the lessor and the lessee can be reflected in the terms of the lease contract in the course of a series of lease management, and by reflecting and accumulating the status of fulfillment of the contract terms in the credit, the lessor To provide a reasonable pricing tool that reflects the risk caused by the lessee, price information, and recommended rental conditions, and to the lessee, an opportunity to apply differential rental rates based on their credit or recommended rental conditions.

For example, a contract between a lessor and a lessee may contain various terms. Typically, the transaction information of the contract may include deposit information, rent information, lease period information, and the like. In addition, credit information may include deposit return behavior information and complaint handling evaluation information in the case of the lessor, and credit information of the credit information company and rental overdue information in the case of the lessee. Therefore, the real estate agency 320 analyzes the real estate transaction information and credit information of the lessor and the lessee through artificial intelligence, presents the lessor with an appropriate price (or recommended rental condition information) that reflects the risk of the lessee, and gives the lessee confidence. An appropriate rental fee (or recommended rental condition information) is set and provided based on the credit information of each.

In this process, the real estate brokerage unit 320 may further provide determination information on a subject bearing repair costs for a house and its furnishings in the case of, for example, a rental housing facility. For example, in relation to the replacement of consumables such as lights, judgment information such as whether the lessor is the burdening entity or the lessee may be further provided.

As described above, the real estate brokerage unit 320 according to an embodiment of the present invention conducts real estate transactions (or brokerage) based on real estate transaction information (or sale information) and credit information of lessors and lessees, and credit By flexibly applying the rental price based on information, it is possible for the lessor to manage the lease considering the credit risk to the lessee, and also to provide the lessee with the opportunity to apply a difference in rent that suits his or her credit, thereby managing reputation for both the lessor and the lessee. It is possible to establish a fair trade order by giving a burden.

The storage unit 330 may temporarily store various types of data processed under the control of the control unit 310 . For example, the storage unit 330 may receive and store a lease agreement in the form of an image provided by the rental management terminal 110 or the rental management terminal 130 . In addition, transaction information provided in real time in relation to real estate transactions, sale information, credit information, etc. may be stored and then called and provided to the real estate brokerage unit 320 .

In addition to the above, the communication interface unit 300, the control unit 310, the real estate brokerage unit 320, and the storage unit 330 of FIG. 3 can perform various operations, and since other details have been sufficiently described above, the I want to replace it with content.

The communication interface unit 300, the control unit 310, the real estate brokerage unit 320, and the storage unit 330 of FIG. 3 according to an embodiment of the present invention are composed of hardware modules physically separated from each other, but each module is internal It will be possible to store and execute software for performing the above operation in . However, since the corresponding software is a set of software modules, and each module can be formed of hardware, it will not be particularly limited to the configuration of software and hardware. For example, the storage unit 330 may be hardware storage or memory. However, since it is possible to store information in a software manner (repository), the above content will not be particularly limited.

Meanwhile, as another embodiment of the present invention, the control unit 310 may include a CPU and a memory, and may be formed as a single chip. The CPU includes a control circuit, an arithmetic unit (ALU), a command interpreter, and a registry, and the memory may include RAM. The control circuit performs control operations, the operation unit performs operation of binary bit information, and the instruction interpretation unit performs an operation of converting high-level language into machine language and machine language into high-level language, including an interpreter or compiler. , the registry may be involved in software data storage. According to the above configuration, for example, by copying the program stored in the real estate brokerage unit 320 at the beginning of the operation of the real estate trading device 290, loading it into a memory, that is, RAM, and then executing it, the data operation processing speed is increased can increase In the case of a deep learning model, it can be loaded into GPU memory rather than RAM, and can be executed by accelerating the execution speed using the GPU.

4 is a flowchart showing a driving process of the real estate brokerage apparatus of FIG. 3 .

Referring to FIG. 4 together with FIG. 3 for convenience of description, the real estate brokerage apparatus 290 according to an embodiment of the present invention is real estate of the lessor and the lessee based on the transaction information and credit information processed in the process of leasing the real estate between the lessor and the lessee. A transaction (or mediation) is concluded (S400). In this process, the real estate brokerage device 290 may perform various types of contracts, such as writing an electronic contract and signing an electronic contract online.

In addition, the real estate brokerage device 290 collects transaction information and credit information, analyzes the previously collected information, that is, data, by applying a pre-built neural network model, such as artificial intelligence deep learning, to credit information, the lessor's rental management terminal provides price information (or recommended rental conditions information) that reflects the risk of the lessee, and the rental fee information (or recommended rental conditions information) of the rental fee based on the credit of the lessee is provided to the lessee's rental management terminal. ) is provided (S410).

Of course, the application of the artificial intelligence neural network model here means that, for example, the credit information of A and B is reflected when a transaction between the lessor and the lessee, A and B, is concluded, but this is the result of learning transaction information or credit information of other lessors and lessees. can also be seen Therefore, based on these learning results, the accuracy of the service can be increased by providing price information corresponding to the same or similar conditions. Above all, it can be seen that artificial intelligence differs from existing rule-based methods in that it can output results based on prediction even if it is not in a preset condition, that is, a data policy. Of course, since there may be various methods in relation to a specific algorithm, the embodiment of the present invention will not be particularly limited to any one method.

In addition to the above, the real estate trading device 290 of FIG. 3 can perform various operations, and since other details have been sufficiently described above, they will be replaced with those contents.

So far, in the embodiments of the present invention, transaction information and credit information generated in the process of leasing real estate have been exemplified, but even if the transaction information is not credit information, rental demand in the vicinity, competitiveness of rental properties (state of facilities and fixtures, remodeling, etc.), number of rental properties It is also possible to recommend price information or rental conditions by considering such information. Therefore, in the embodiment of the present invention, it will not be limited to transaction information and credit information generated in the process of leasing real estate, and it will be collectively referred to as 'lease information (or lease information)' as a meaning that includes all of them.

In addition, in the embodiment of the present invention, the mediation server investigates whether the accessing users are visiting for the purpose of actual demand within a preset period, reflects the result as rental demand, and targets them, that is, users who are investigated as visits for the purpose of actual demand. It will also be possible to target publicity for rental properties to people (or users' terminals).

On the other hand, even if all the components constituting the embodiment of the present invention are described as being combined or operated as one, the present invention is not necessarily limited to these embodiments. That is, within the scope of the object of the present invention, all of the components may be selectively combined with one or more to operate. In addition, although all of the components may be implemented as a single independent piece of hardware, some or all of the components are selectively combined to perform some or all of the combined functions in one or a plurality of pieces of hardware. It may be implemented as a computer program having. Codes and code segments constituting the computer program may be easily inferred by a person skilled in the art. Such a computer program may implement an embodiment of the present invention by being stored in a computer-readable non-transitory computer readable media, read and executed by a computer.

Here, the non-transitory readable recording medium means a medium that stores data semi-permanently and can be read by a device, not a medium that stores data for a short moment, such as a register, cache, or memory. . Specifically, the above-described programs may be provided by being stored in a non-transitory readable recording medium such as a CD, DVD, hard disk, Blu-ray disk, USB, memory card, or ROM.

Although the preferred embodiments of the present invention have been shown and described above, the present invention is not limited to the specific embodiments described above, and is common in the art to which the present invention pertains without departing from the gist of the present invention claimed in the claims. Of course, various modifications and implementations are possible by those with knowledge of, and these modifications should not be individually understood from the technical spirit or perspective of the present invention.

100: rental management server 110: rental management terminal
120: rental management server 130: rental management terminal
140: mediation management server 150: mediation management terminal
160: credit management server 170: AI server
300: communication interface unit 310: control unit
320: real estate brokerage department 330: storage department

Claims (14)

Brokerage management device for concluding a real estate transaction between the lessor and the lessee based on the transaction information and credit information processed in the process of leasing the real estate between the lessor and the lessee; and
The transaction information and the credit information are collected, applied to the built-in neural network model, analyzed, and the conditions of the lessor and the lessee are reflected in the credit information, and the lessor's rental management terminal reflects the risk of the lessee. Provides price information or recommended rental conditions information, and the lessee's rental management terminal includes an artificial intelligence (AI) device that provides rental fee information or recommended rental conditions information based on the tenant's own credit,
The artificial intelligence device,
Provides the price information or the recommended rental condition information for increasing the deposit when a lessee with a credit score of less than a designated score applies for a lease contract due to the overdue history of the lessor's real estate for which the deposit was calculated,
The artificial intelligence device,
A real estate brokerage system that provides conditions for free rental during the contract period or bonus free rental after the end of the contract period according to the comparison of the desired rental fee desired by the lessor and the appropriate rental fee calculated by applying the pre-accumulated neural network model. According to claim 1,
The artificial intelligence device further determines who bears repair costs for facilities and fixtures of the leased building between the lessor and the lessee, and provides information as a result of the determination. According to claim 1,
a rental management device for managing rental real estate listing information by communicating with the rental management terminal of the lessor;
a lease management device for managing rental real estate listing information by communicating with the lease management terminal of the lessee; and
A credit management device for managing credit information related to the real estate leasing process of the lessor and the lessee;
The artificial intelligence device is a real estate brokerage system for processing the price information or recommended rental condition information and the rental fee information or recommended rental condition information in association with the rental management device and the rental management device. According to claim 3,
The rental management device extracts and manages rental real estate information based on text by applying an OCR (Optical Character Reader) function to the rental contract image provided by the rental management terminal,
The lease management device is a real estate brokerage system that extracts and manages leased real estate information based on text by applying an OCR function to the lease contract image provided by the lease management terminal. According to claim 3,
The credit management device processes, as the credit information, evaluation information on complaint handling and deposit return behavior information in relation to the lessor, and credit information of the credit information company, rental overdue information, facilities and furnishings in relation to the lessee. A real estate brokerage system that processes usage behavior information, civil complaint information, and special contract fulfillment information. According to claim 1,
The artificial intelligence device is a real estate capable of using at least one of rental demand information, competitiveness information of rental properties, and rental property quantity information, including the transaction information and credit information, for recommending the price information or rental conditions. brokerage system. According to claim 1,
The brokerage management device investigates whether the visit is for the purpose of actual demand within a predetermined period of users accessing the service, reflects the survey result as rental demand, and provides rental properties to the terminals of users who are determined to be visiting for the purpose of actual demand. A real estate brokerage system that promotes the target. A brokerage management device concluding a real estate transaction between the lessor and the lessee based on transaction information and credit information processed in the process of leasing real estate between the lessor and the lessee; and
An artificial intelligence (AI) device collects the transaction information and the credit information, analyzes them by applying them to a built-up neural network model, and reflects the status of fulfillment of contract terms between the lessor and the lessee in the credit information to reflect the lease of the lessor The management terminal provides price information or recommended rental condition information reflecting the risk of the lessee, and the lessee's rental management terminal provides rental fee information or recommended rental condition information of the rental fee based on the credit of the lessee,
Providing, by the artificial intelligence device, the price information for increasing the deposit or the recommended rental condition information when a lessee whose credit score is less than or equal to a specified score applies for a lease contract based on an overdue history of the lessor's real estate for which the deposit was calculated. ; and
Providing, by the artificial intelligence device, conditions for free rental during the contract period or bonus free rental after the end of the contract period according to the comparison between the desired rental fee desired by the lessor and the appropriate rental fee calculated by applying the pre-contracted neural network model; cast
A real estate brokerage method of a real estate brokerage system that further includes. According to claim 8,
The artificial intelligence device further determines who bears the repair cost of the facilities and fixtures of the rental building between the lessor and the lessee and provides information as a result of the determination; Real estate brokerage method of a real estate brokerage system further comprising. According to claim 8,
Step, by the rental management device, communicating with the rental management terminal of the lessor to manage rental real estate listing information;
Step, by the lease management device, communicating with the lease management terminal of the lessee to manage leased real estate listing information; and
Further comprising, by the credit management device, managing credit information related to the real estate leasing process of the lessor and the lessee,
The artificial intelligence device is a real estate brokerage method of a real estate brokerage system for processing the price information or recommended lease condition information and the rent information or recommended lease condition information in association with the lease management device and the lease management device. According to claim 10,
The rental management device extracts and manages rental real estate information based on text by applying an OCR function to the rental contract image provided by the rental management terminal,
A real estate brokerage method of a real estate brokerage system in which the lease management device extracts and manages leased real estate information based on text by applying an OCR function to the lease contract image provided by the lease management terminal. According to claim 10,
The credit management device processes, as the credit information, evaluation information on complaint handling and deposit return behavior information in relation to the lessor, and credit information of the credit information company, rental overdue information, and information on facilities and furniture in relation to the lessee. A real estate brokerage method of a real estate brokerage system that processes usage behavior information, civil complaint information, and special contract fulfillment information. According to claim 8,
Real estate in which the artificial intelligence device can use at least one of rental demand information, competitiveness information of rental properties, and rental property quantity information, including the transaction information and credit information, for recommending the price information or rental conditions. Real estate brokerage method of brokerage system. According to claim 8,
The intermediary management device investigates whether the visit is for the purpose of actual demand within a preset period of users accessing the service, reflects the survey result as rental demand, and provides rental properties to the terminals of users who are determined to be visiting for the purpose of actual demand. Real estate brokerage method of real estate brokerage system to promote target.

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