KR20230066711A - Real estate direct transaction system - Google Patents

Abstract

Provided is a real estate direct transaction system using AI, which comprises: a purchaser terminal linking unit for receiving information on a purchaser from a purchaser terminal; a seller terminal linking unit for receiving information on a seller from a seller terminal; a licensed real estate agent terminal linking unit for receiving information on a licensed real estate agent from a licensed real estate agent terminal; and a contract and real estate agent matching unit separately connected to the purchaser terminal linking unit, the seller terminal linking unit and the licensed real estate agent terminal. The contract and real estate agent matching unit analyzes the information on the purchaser, the information on the seller, and the information on the licensed real estate agent to match a contract between the purchaser and the seller, and matches the licensed real estate agent for supporting the contract. Therefore, the reliability of a transaction can be improved.

Description

Real estate direct transaction system using AI {Real estate direct transaction system}

The present invention relates to a real estate direct transaction system using AI that can increase the reliability of a transaction by matching a contract between a seller and a buyer for a direct real estate transaction between a seller and a buyer and matching a licensed real estate agent capable of supporting the contract.

The existing real estate brokerage service is a method in which a real estate agent pays for the service system and advertises the product, and the vicious cycle of high commissions, false listings, exaggerated information and advertising leads to a decrease in service quality and awareness of real estate brokerage, and high service fees. there is.

In this regard, online real estate direct transaction services have appeared, but online real estate direct transaction services (Peter Pan, etc.) check the property information directly posted by the seller (lessor) on Internet cafes and websites, and the buyer (lessee) attempts to contact them directly. There is a problem in that it is difficult to activate direct transactions due to circumstances such as careful access and difficult standardization of product information.

In addition, there is a risk that personal information (address, contact information, etc.) is exposed without significant restrictions from the point of view of the seller (lessor). There are problems in which information that does not exist is frequently entered, which causes a difference between the input product and the actual product, and the reliability of the transaction due to direct transaction between the seller and the buyer is low.

The problem to be solved by the present invention is to provide a real estate direct transaction system method using AI that can solve the conventional problems by reducing the service fee of real estate brokerage and providing accurate information to the seller.

In addition, the seller aims to provide a real estate direct transaction system using AI that can increase the simplification and efficiency of brokerage work by receiving a discount on service fees through the provision of information and verifying the accuracy of the provided information through AI.

Furthermore, it aims to provide a real estate direct transaction system using AI that can improve the reliability of transactions by matching a licensed real estate agent suitable for the transaction.

The tasks of the present invention are not limited to the tasks mentioned above, and other technical tasks not mentioned will be clearly understood by those skilled in the art from the following description.

A real estate direct transaction system using AI according to an embodiment for solving the above problems includes a buyer terminal interlocking unit that receives information about a buyer from a buyer terminal, and a seller terminal interlocking unit that receives information about a seller from a seller terminal. , A realtor terminal interlocking unit receiving information on a realtor from a realtor terminal, and a contract and a realtor matching unit connected to the buyer terminal interlocking unit, the seller terminal interlocking unit, and the realtor terminal, respectively, The contract and realtor matching unit, The buyer's information, the seller's information, and the certified realtor's information are analyzed to match the buyer's contract with the seller's, and the licensed realtor's support for the contract is matched.

The contract and real estate agent matching unit may include a location analysis unit that analyzes the location preferred by the buyer and the location of the seller's real estate, analyzes the buyer who prefers the location of the seller's real estate, and delivers analysis data to the seller. can

The contract and real estate agent matching unit further includes a selling price analysis unit that analyzes the purchase price desired by the buyer and the selling price of the seller's real estate and delivers information on the seller's real estate within the range of the buyer's purchase price to the buyer. can do.

The contract and realtor matching unit may further include a contract matching unit for matching the contract between the buyer and the seller.

The contract and realtor matching unit may further include a realtor matching unit for matching a realtor to support the contract between the buyer and the seller.

The contract and realtor matching unit may further include a monitoring unit for checking whether or not the contract between the buyer and the seller is in progress.

The contract and realtor matching unit, the realtor may further include a service fee calculation unit for completing the contract between the buyer and the seller and calculating a service fee to be paid.

The contract and realtor matching unit, after the contract between the buyer and the seller is completed, a realtor evaluation unit that collects and analyzes evaluation data on service satisfaction, kindness, professionalism, and punctuality for the realtor from the buyer and the seller. can include

According to the real estate direct transaction system using AI according to an embodiment, a seller directly inputs related product information and receives a discount on service fees, thereby inducing the seller to input reliable information. Furthermore, it is possible to increase the reliability of the transaction by matching the real estate agent suitable for each real estate transaction.

Effects according to the embodiments are not limited by the contents exemplified above, and more various effects are included in this specification.

1 is a diagram schematically illustrating an interlocking structure of a direct real estate transaction system using AI according to an embodiment.
2 is a diagram schematically showing the configuration of a direct real estate transaction system using AI according to an embodiment.
3 is a diagram schematically illustrating an AI-based real estate direct transaction platform according to an embodiment.
4 is a diagram schematically illustrating a second analysis unit of an AI-based direct real estate transaction platform according to an embodiment.
5 is a diagram schematically illustrating a matching unit of an AI-based direct real estate transaction platform according to an embodiment.
6 is a diagram schematically illustrating a purchaser terminal interworking unit according to an embodiment.
7 is a diagram schematically illustrating a seller terminal interworking unit according to an embodiment.
8 is a diagram schematically showing a realtor terminal interworking unit according to an embodiment.
9 is a diagram schematically illustrating a contract and a realtor matching unit according to an embodiment.

Advantages and features of the present invention, and methods of achieving them, will become clear with reference to the detailed description of the following embodiments taken in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but will be implemented in various different forms, only these embodiments make the disclosure of the present invention complete, and common knowledge in the art to which the present invention belongs. It is provided to fully inform the holder of the scope of the invention, and the present invention is only defined by the scope of the claims.

It should be understood that any flow diagrams, state transition diagrams, pseudo code, etc. may be substantially represented on a computer readable medium and represent various processes performed by a computer or processor, whether or not the computer or processor is explicitly depicted.

The functions of various elements shown in the drawings including functional blocks represented by processors or similar concepts may be provided using dedicated hardware as well as hardware capable of executing software in conjunction with appropriate software. When provided by a processor, the functionality may be provided by a single dedicated processor, a single shared processor, or a plurality of separate processors, some of which may be shared. Like reference numbers designate like elements throughout the specification.

Hereinafter, specific embodiments will be described with reference to the accompanying drawings.

1 is a diagram schematically showing the interworking structure of a direct real estate transaction system using AI according to an embodiment, FIG. 2 is a diagram schematically showing the configuration of a direct real estate transaction system using AI according to an embodiment, and FIG. A diagram schematically showing an AI-based direct real estate transaction platform according to an embodiment, FIG. 4 is a diagram schematically showing a second analysis unit of the AI-based direct real estate transaction platform according to an embodiment, and FIG. FIG. 6 is a diagram schematically showing a matching unit of an AI-based real estate direct transaction platform according to an embodiment, FIG. 6 is a diagram schematically showing a buyer terminal linking unit according to an embodiment, and FIG. 7 is a schematic diagram showing a seller terminal linking unit according to an embodiment. 8 is a diagram schematically showing a realtor terminal interworking unit according to an embodiment, FIG. 9 is a diagram schematically showing a contract and a realtor matching unit according to an embodiment, and FIG. 10 is a diagram using AI according to an embodiment It is a diagram schematically showing the direct real estate transaction method.

1 and 2, the real estate direct transaction system 10 using AI includes a buyer terminal 100, a network 200, a seller terminal 300, a real estate agent terminal 500, and a real estate direct transaction platform using AI. (400).

The buyer terminal 100 may include a plurality of buyers 100-1, 100-2, ..100-M. The plurality of buyers 100-1, 100-2, ..100-M may be formed in various forms, such as individuals or corporations who wish to purchase real estate as individual buyers.

The seller terminal 300 may include a plurality of sellers 300-1, 300-2, ..300-N. The plurality of sellers (300-1,300-2, ..300-N) may be formed in various forms, such as individuals or corporations who want to sell real estate as individual sellers.

Here, real estate may mean an apartment. In some embodiments, apartments may mean only apartments in Seoul and six major metropolitan cities.

The realtor terminal 500 may include a plurality of real estate agents, and may be a real estate agent included in the real estate agent POOL registered in the real estate direct transaction system 10 using AI. A plurality of licensed real estate agents can be classified according to various factors such as age, experience, gender, and place of residence. In some embodiments, a licensed real estate agent may be composed of less than 40 generations, and in some embodiments, a licensed real estate agent may be configured mainly in a metropolitan area. Here, the certified realtor may mean a person who has a certified realtor license. For example, it is a concept that includes not only licensed real estate agents and licensed real estate agents who have opened a business, but also those who have passed the certified real estate agent exam and have not started a business while holding a certified real estate agent license.

Each component shown in FIGS. 1 and 2 is generally connected through a network (network, 200).

The buyer terminal 100 may be connected to the real estate direct transaction platform 400 using AI through the network 200 . For example, a plurality of buyers (100-1, 100-2, ..100-M) may directly input information on the object they desire into the AI-based direct real estate transaction platform 400. As mentioned above, the information on the property you want means information on the apartment you want to buy (desired area, price range, contact number, e-mail, dedicated area, number of rooms/toilet/parking, desired purchase price, etc.) .

The seller terminal 300 may be connected to the real estate direct transaction platform 400 using AI through the network 200 . For example, a plurality of sellers 300-1,300-2, ..300-N may be connected to the AI-based direct real estate transaction platform 400 through a terminal, and a plurality of sellers 300-1,300-2, ..300-N) can directly input information about their real estate into the AI-based direct real estate transaction platform 400. Information on your real estate here includes information on the apartment you want to sell (name of householder, address, contact number, e-mail, date of acquisition of the apartment, photo of the apartment, exclusive area, number of rooms/toilet/parking, desired selling price, etc.) or It means information on the apartment to be chartered or leased (name of householder, address, contact number, e-mail, apartment acquisition date, photo of the apartment, exclusive area, number of rooms/toilet/parking space, jeonse/deposit/monthly rent, etc.).

The realtor terminal 500 may be connected to the real estate direct transaction platform 400 using AI through the network 200 . For example, a plurality of licensed real estate agents may input information about a workable area, time, gender, age, work experience, etc. into the AI-based direct real estate transaction platform 400 .

The real estate direct transaction platform 400 using AI may be connected to each of the buyer terminal 100, the seller terminal 300, and the realtor terminal 500 through the network 200.

The network 200 means a connection structure capable of exchanging information between nodes such as a plurality of terminals and servers, and examples of the network 200 include RF, 3rd Generation Partnership Project (3GPP) networks, LTE (Long Term Evolution) network, 5GPP (5rd Generation Partnership Project) network, WIMAX (World Interoperability for Microwave Access) network, Internet, LAN (Local Area Network), Wireless LAN (Wireless Local Area Network), WAN ( Wide Area Network), PAN (Personal Area Network), Bluetooth (Bluetooth) network, NFC network, satellite broadcasting network, analog broadcasting network, DMB (Digital Multimedia Broadcasting) network, etc. are included, but are not limited thereto.

The buyer terminal 100, the seller terminal 300, and the realtor terminal 500 may be implemented as a computer capable of accessing a remote server or terminal through the network 200. Here, the computer may include, for example, a laptop computer, a desktop computer, and a laptop computer equipped with a web browser. At this time, the buyer terminal 100, the seller terminal 300, and the realtor terminal 500 may be implemented as terminals capable of accessing a remote server or terminal through the network 200. The buyer terminal 100, the seller terminal 300, and the real estate agent terminal 500, for example, are wireless communication devices that ensure portability and mobility, and include navigation, PCS (Personal Communication System), and GSM (Global System for Mobile communications). ), Personal Digital Cellular (PDC), Personal Handyphone System (PHS), Personal Digital Assistant (PDA), International Mobile Telecommunication (IMT)-2000, Code Division Multiple Access (CDMA)-2000, W-Code Division (W-CDMA) Multiple Access), Wibro (Wireless Broadband Internet) terminals, smartphones, smart pads, tablet PCs, etc. .

The real estate direct transaction platform 400 using AI may be a server that provides a web page, an app page, a program, or an application that provides information on real estate products to be sold. In addition, the real estate direct transaction platform 400 using AI is a server that receives a purchase request from the buyer terminal 100 and transmits information about sellers suitable for information on the buyer's service request to the buyer terminal 100. can In addition, the real estate direct transaction platform 400 using AI is a server that receives a sale request from the seller terminal 300 and transmits information about buyers suitable for the seller's service request information to the seller terminal 300. can In addition, the real estate direct transaction platform 400 using AI is a server that receives a contract support request from the real estate agent terminal 300 and transmits information on a real estate contract suitable for information on the real estate agent's service request to the real estate agent terminal 300. can be

Referring to FIG. 3, the AI-based direct real estate transaction platform 400 includes a display unit 410, a first analysis unit 420, a second analysis unit 430, a matching unit 450, and a server storage unit 460. And it may include a server communication unit 470.

In some embodiments, the display unit 410 may display information to be provided to the buyer. For example, information on photos of real estate, information on dedicated area, information on the number of rooms/toilet/parking, information on desired selling price, and information on service fees can be received from the information storage unit and displayed. there is. For example, the display unit 410 may be connected to a device provided by the purchaser. For example, it may be connected to a smart phone, a tablet computer, a notebook computer, a personal digital assistant (PDA), a portable multimedia player (PMP), a wearable device, and the like.

In some embodiments, the display unit 410 may select and provide information similar to information input by the buyer to the buyer. Specifically, the plurality of buyers 100-1,100-2, ..100-M may be connected to the AI-based direct real estate transaction platform 400 through the terminal, and the plurality of buyers 100-1,100-2,. .100-M) can directly input the desired product information into the AI-based real estate direct transaction platform 400. For example, a plurality of buyers (100-1,100-2,..100-M) have information on the area they wish to purchase, information on the price range, information on the number of rooms/toilet/parking units, exclusive area/supply area. You can enter information on information, date of approval for use, information on preferred floors/floors, information on the number of households, and information on contact information, and the corresponding information can be stored in the information storage unit. The display unit matches the information input by each of the plurality of buyers 100-1,100-2, ..100-M from the information storage unit, or selects similar information to the plurality of buyers 100-1,100-2, .. 100-M) can be displayed on each terminal.

The display unit 410 may display a fee reduction rate and a discount service fee to which the fee reduction rate is applied to the seller. For example, information on a fee reduction rate and a discount service fee to which the fee reduction rate is applied may be received from the information storage unit and displayed. For example, the display unit 410 may be connected to a device provided by the seller. For example, it may be connected to a smart phone, a tablet computer, a notebook computer, a personal digital assistant (PDA), a portable multimedia player (PMP), a wearable device, and the like.

The first analysis unit 420 and the second analysis unit 430 receive information input by each of the plurality of sellers 300-1,300-2, ..300-N to the second input unit 452A, which will be described later, and , the service fee discount rate can be calculated by analyzing this.

In some embodiments, one of the first analysis unit 420 and the second analysis unit 430 analyzes information input by a plurality of sellers 300-1,300-2, ..300-N, respectively. The other one can analyze the information input by each of the plurality of sellers (300-1,300-2, ..300-N) by deep learning-based artificial intelligence. Hereinafter, a case in which information is analyzed by a person in the first analysis unit 420 and information is analyzed in the second analysis unit 430 by deep learning-based artificial intelligence will be described as an example.

In some embodiments, the information input by each of the plurality of sellers (300-1,300-2, ..300-N) is divided into the first analysis unit 420 and the second analysis unit 430 by information type and analyzed. It can be. In addition, in some embodiments, the information input by each of the plurality of sellers 300-1,300-2, ..300-N is primarily analyzed by the first analysis unit 420, and the first analysis unit ( The analysis result of 420) may be re-analyzed by the second analyzer 430. In addition, in some embodiments, the information input by each of the plurality of sellers 300-1,300-2, ..300-N is individually analyzed by the first analysis unit 420 and the second analysis unit 430, respectively. Thus, each analysis result can be calculated.

As shown in FIG. 4, the second analysis unit 430 includes an information reliability analysis unit 431, a seller reliability analysis unit 432, a selling price adequacy analysis unit 433, and a commission reduction rate calculation unit 434. ) and the like. However, this is an example and is not limited thereto.

The reliability analysis unit 431 of information may determine the authenticity and reliability level of the information about the goods input by each of the plurality of sellers 300-1,300-2, ..300-N.

As an example, if the input information is photo information of an object, the information reliability analysis unit 431 determines whether the captured photo was taken directly or stolen through deep learning-based artificial intelligence through pre-learned data. You can judge the authenticity of the photo. As an example, TensorFlow may be used as the deep learning-based artificial intelligence engine, and an Inception v3 model may be used. In order to determine the authenticity of the input photo information, supervised learning, which is a method of learning a machine learning model using training data that knows the correct answer, can be used. The structure, weights, parameters, and data sets of artificial intelligence models are diverse. can be set to Information about the picture input by the seller may be stored in the information storage unit, and learning may be performed by various source codes.

The information reliability analysis unit 431 first compares the photo input by the seller and the photo accumulated in the information storage unit, and if there is a large difference in similarity, it is determined that the photo input by the seller is a photo taken directly. can do. On the other hand, if the similarity is 90% or more by comparing the photo input by the seller with the photo accumulated in the information storage unit, it may be determined that the photo input by the seller is a stolen photo. The information reliability analysis unit 431 may set a predetermined similarity reference value, and compare the primarily determined result with the predetermined similarity reference value to determine whether it is true or false. The predetermined similarity criterion value may be variously changed according to a type of photo, a photographing location, and the like.

The reliability analysis unit 431 of information primarily determines the reliability level by comparing the photo input by the seller with the photos accumulated in the information storage unit when it is determined that the photo input by the seller is a photo taken directly. can do. For example, the reliability level may be determined by analyzing the number of photos input by the seller, resolution of the input photos, and information displayed in the input photos. Factors for determining the reliability level may be variously changed. The information reliability analysis unit 431 may analyze the reliability of various information such as an address, contact information, and e-mail input in addition to photos. In some embodiments, the reliability level may be classified as high, medium, or low, and in some embodiments, the reliability level may be classified into 1 to 10 grades. However, it is not limited thereto.

The reliability analysis unit 432 of the seller may determine the reliability level of the seller by collecting previously input information of the seller. The reliability analysis unit 432 of the seller may determine the reliability level of the seller through deep learning-based artificial intelligence through learned data of information previously input by the seller. In some embodiments, the reliability level may be classified as high, medium, or low, and in some embodiments, the reliability level may be classified into 1 to 10 grades. However, it is not limited thereto.

In some embodiments, the appropriateness analysis unit 433 of the selling price may determine whether the selling price of the product inputted by each of the plurality of sellers 300-1,300-2, ..300-N is appropriate. The adequacy analysis unit 433 of the selling price may determine the adequacy by comparing the desired selling price of the seller 20 with the actual transaction price through deep learning-based artificial intelligence through the learned data on the seller's product. In some embodiments, the sale price adequacy analysis unit 433 provides information such as debt status, debt ranking, chonsegwon setting, leased goods, etc. to the goods input by each of the plurality of sellers (300-1,300-2, ..300-N). can be additionally used to calculate the adequacy of the selling price as a grade. In some embodiments, the appropriateness level of the selling price may be classified as high, medium, or low, and in some embodiments, the appropriateness level of the selling price may be classified into 1 to 10 grades. However, it is not limited thereto.

The commission reduction rate calculation unit 434 may calculate the commission reduction rate according to the reliability level of information, the reliability level of the seller, and the appropriateness level of the selling price. Furthermore, the fee reduction rate calculation unit 434 may calculate a service fee before applying the reduction rate and calculate a discounted service fee by applying the fee reduction rate. The fee reduction rate calculation unit 434 may transfer the calculated fee reduction rate and the discounted service fee to the second payment unit 452B, the information storage unit, and the display unit 410 .

Referring to FIG. 5 , the matching unit 450 includes a buyer terminal interlocking unit 451 interlocking with the buyer terminal 100, a seller terminal interlocking unit 452 interworking with the seller terminal 300, and a licensed broker terminal 500. It may include a contract and realtor matching unit 454 for matching the realtor terminal interworking unit 453, the buyer terminal interworking unit 451, the seller terminal interworking unit 452, and the realtor terminal interworking unit 453 to be interlocked. In addition, the matching unit 450 may further include a server storage unit 460 for storing buyer information, seller information, data on real estate agent information, and the like, and a server communication unit 470 for transmitting matching information between the buyer and the seller. there is.

Referring to FIG. 6 , the buyer terminal interworking unit 451 includes a first input unit 451A, a first payment unit 451B, a first database unit 451C, a first information providing unit 451D, and a first A transmission unit 451D may be included.

The first input unit 451A may provide the buyer terminal 100 with a web page through which information on real estate purchase can be input. The first input unit 451A may transmit information on real estate purchase input through the buyer terminal 100 to the first payment unit 451B, the first database unit 451C, and the first transmission unit 451D. . Here, the information input through the purchaser terminal 100 is information on the purchase area, price range, room/toilet/parking number information, exclusive area/supply area information, use approval date information, It may include various information such as information about the preferred floor/town, information about the number of households, and information about contact information. In addition, when input of information on real estate purchase is completed, the first input unit 451A may transmit a message indicating that input of information on real estate purchase has been completed to the buyer terminal 100 .

In some embodiments, the first input unit 451A may provide a member authentication service. The member authentication service receives the buyer's ID and password, collects them, and uses them as login information. In some embodiments, the first input unit 451A may utilize SNS information as login information in association with SNS such as Facebook or Twitter.

The first payment unit 451B may calculate a service fee based on the information about real estate purchase input through the first input unit 451A, and transmit a message to the buyer terminal 100 . When the contract conclusion is completed and the service fee is paid, the first payment unit 451B may transmit a payment completion message to the buyer terminal 100 .

The first database unit 451C may store, control, and manage real estate purchase information and payment information input to the first input unit 451A, a buyer's ID and password, and the like. In addition, the first database unit 451C may modify and store stored information when corrected information is input through the buyer terminal 100 . In addition, the buyer can access the first database unit 451C through the buyer's terminal 100 and check his or her own beauty service request information and payment information.

In some embodiments, information on real estate purchase by a buyer may be accumulated and stored in the first database unit 451C.

In some embodiments, the first database unit 451C may include a first storage unit. The first storage unit includes RAM (Random Access Memory), flash memory, ROM (Read Only Memory), EPROM (Erasable Programmable ROM), EEPROM (Electronically Erasable and Programmable ROM), registers, hard disks, removable disks, memory cards, and the like. It may be implemented as a storage element of a built-in type as well as a removable type of storage element such as a USB memory.

In some embodiments, the first storage unit may be made of a blockchain network. A blockchain network, as is known, is a distributed data storage technology that puts data in blocks, connects them in a chain form, and copies and stores them on numerous computers at the same time. Also called public transaction ledger. It does not store transaction records in a centralized server, but sends transaction details to all users participating in transactions, and has the advantage of preventing data forgery or tampering by sharing and collating information with all transaction participants at each transaction.

The first storage unit may obtain information about the buyer from the first input unit 451A and the first payment unit 451B, and store the obtained information in a blockchain manner through a blockchain network. In addition, when an update event for information stored in the blockchain method occurs, the blockchain update storage can be performed on the blockchain network to match the update event.

When the first storage unit is formed of a blockchain network, the first storage unit may perform a blockchain storage process, a blockchain update process, and an information utilization process. However, this is only an example, and is not limited thereto.

The blockchain storage process is a process in which the first storage unit stores the acquired information in a blockchain manner through a blockchain network. For example, when the first storage unit generates a blockchain confirmation, which is a request signal to record information obtained from the first input unit 451A and the first payment unit 451B in the blockchain network, the blockchain node According to the chain confirmation request, the block chain transaction is propagated to the adjacent node so that the block chain is saved. Here, the information obtained from the first input unit 451A and the first payment unit 451B may include service request information and payment information for English learning, information on the user's ID and password, login information, and the like. can However, it is not limited thereto, and only some of the aforementioned information may be stored in a blockchain manner.

The blockchain update process is a process in which a blockchain update is stored on a blockchain network to match the update event when an update event for information stored in a blockchain method occurs. To this end, the blockchain update process includes a blockchain update confirmation request process for requesting a blockchain update confirmation for information updated by the update event to a blockchain node when an update event for information stored in a blockchain method occurs. , When blockchain update confirmation is requested, the blockchain node propagates the blockchain transaction based on the blockchain update confirmation to the adjacent nodes to complete the blockchain update confirmation, and the blockchain update to notify the completion of the blockchain update confirmation. There will be a process of notifying the completion of the confirmation. In some embodiments, the first storage unit may further include a blockchain management unit instructing update request, update confirmation, and update confirmation completion.

The first information providing unit 451D may calculate useful information for the buyer based on the buyer's information input to the first database unit 451C. For example, by analyzing the buyer's input real estate information, etc., information about the buyer's buying pattern/preferred real estate type/recent change in market price of the buyer's preferred real estate may be calculated.

The first transmission unit 451D may transmit the information provided by the first database unit 451C and the first information providing unit 451D to the contract and realtor matching unit 454 .

Referring to FIG. 7 , in some embodiments, the seller terminal interworking unit 452 includes a second input unit 452A, a second payment unit 452B, a second database unit 452C, and a second information providing unit 452D. ), and a second transmission unit 452E.

The second input unit 452A may provide the seller terminal 300 with a web page through which information on real estate sales may be input. The second input unit 452A inputs the householder's name, address, contact information, e-mail, apartment acquisition date, photo of the apartment, exclusive area, number of rooms/bathrooms/parking, desired sale price for the apartment to be sold through the seller terminal 300. You can receive information such as the householder’s name, address, contact information, e-mail, apartment acquisition date, photo of the apartment, exclusive area, number of rooms/toilet/parking space, charter/deposit/monthly rent, etc. And, the input information may be transmitted to the first analyzer 420 and the second analyzer 230 .

In some embodiments, the second input unit 452A may provide a member authentication service. The member authentication service receives the seller's ID and password, collects them, and uses them as login information.

The second payment unit 452B may transmit the fee reduction rate and the discounted service fee received from the fee reduction rate calculation unit 434 to the seller terminal 300 . In some embodiments, the second payment unit 452B may transmit a payment completion message to the seller when the seller pays the service fee after completing the contract.

The second database unit 452C may store, control, and manage input seller information and calculated fee information, seller ID and password, fee reduction rate, discounted service fee, and the like. Sellers can access the second database unit 452C through the seller terminal 300 and check their own payment information.

In some embodiments, the second database unit 452C may include a second storage unit. The second storage unit includes RAM (Random Access Memory), flash memory, ROM (Read Only Memory), EPROM (Erasable Programmable ROM), EEPROM (Electronically Erasable and Programmable ROM), registers, hard disks, removable disks, memory cards, and the like. It may be implemented as a storage element of a built-in type as well as a removable type of storage element such as a USB memory.

In some embodiments, the second storage unit may be made of a blockchain network. The process of configuring and updating the block chain is the same as that of the first storage unit, so redundant description will be omitted.

The second information providing unit 452D may calculate useful information based on seller information, fee reduction rate, and discounted service fee input into the second database unit 452C. For example, competitiveness index data may be calculated by calculating comparison data with other sellers.

Data calculated in this way may be transmitted to the seller terminal 300 through the second transmission unit 452E.

Referring to Figure 8, in some embodiments, the realtor terminal interworking unit 453 is a third input unit (453A), a third payment unit (453B), a third database unit (453C), a third information providing unit (453D) ), and a third transmission unit 453E.

The third input unit 453A may provide a web page capable of inputting information on a licensed realtor to the realtor terminal 500 . The third input unit 453A may receive information about a workable area, a workable time, gender, age, work experience, etc. through the realtor terminal 500 .

In some embodiments, the third input unit 453A may provide a member authentication service. The member authentication service receives the seller's ID and password, collects them, and uses them as login information.

The third payment unit 453B may transmit the service fee received from the service fee calculator 454F to be described later to the realtor terminal 500 . In some embodiments, the third payment unit 453B may transmit an approval completion message to the seller when the realtor approves the service fee related to the contract, and may pay the service fee to the realtor after the contract is completed. there is.

The third database unit 453C may store, control, and manage entered information on the realtor and information on the calculated service fee, ID and password of the realtor, contract conclusion history, and the like. Realtors can access the third database unit 453C through the realtor terminal 500, and can check information on their service fee payment details, contracts they have performed, contracts currently assigned to them, etc. .

In some embodiments, the third database unit 453C may include a third storage unit. The third storage unit includes RAM (Random Access Memory), flash memory, ROM (Read Only Memory), EPROM (Erasable Programmable ROM), EEPROM (Electronically Erasable and Programmable ROM), registers, hard disks, removable disks, memory cards, and the like. It may be implemented as a storage element of a built-in type as well as a removable type of storage element such as a USB memory.

In some embodiments, the third storage unit may be made of a blockchain network. The process of configuring and updating the block chain is the same as that of the first storage unit, so redundant description will be omitted.

The third information providing unit 453D may calculate useful information based on the information about the licensed real estate agent, service fee, and contract conclusion details entered into the third database unit 453C. For example, competitiveness index data may be calculated by calculating comparison data with other licensed real estate agents.

Data calculated in this way may be transmitted to the realtor terminal 500 through the third transmission unit 453E.

Referring again to FIG. 3, the server storage unit 460 includes a first database unit 451C, a second database unit 452C, a third database unit 453C, and a contract and realtor matching unit 454, respectively. The stored information can be received and stored. In addition, the server storage unit 460 may store data on market prices, locations, convenience facilities, and the like for each real estate.

The server communication unit 470 may transmit data on market price, location, and convenience facilities for each real estate to the server storage unit 460 to the buyer terminal 100 . In addition, the server communication unit 470 may receive updated data and transmit it to the server storage unit 460 .

The contract and realtor matching unit 454 may match a contract for a buyer and a seller and a realtor suitable for the contract. For example, the contract and real estate agent matching unit 454 is configured for a plurality of buyers (100-1,100-2, ..100-M) and a plurality of sellers (300-1,300-2, ..300-N). The information can be analyzed to match the right buyers and sellers. In addition, the contract can be analyzed to match a suitable licensed real estate agent in the realtor POOL. In some embodiments, the contract and real estate agent matching unit 454 may match one buyer and one seller, and in some embodiments, the contract and real estate agent matching unit 454 may match one buyer and two or more sellers. In some embodiments, the contract and realtor matching unit 454 may match two or more buyers and one seller, and in some embodiments, the contract and realtor matching unit 454 may match two or more buyers and two sellers. You can also match more than one.

In some embodiments, the contract and realtor matching unit 454 may match one contract and one realtor, and in some embodiments, the contract and realtor matching unit 454 matches one contract and two or more realtors. In some embodiments, the contract and realtor matching unit 454 may match two or more contracts and one realtor, and in some embodiments, the contract and realtor matching unit 454 may match two or more contracts and a realtor. You can also match 2 or more people.

Referring to FIG. 6 , in some embodiments, the contract and realtor matching unit 454 includes a location analysis unit 454A, a selling price analysis unit 454B, a contract matching unit 454C, a real estate agent matching unit 454D, and a monitoring unit. (454E), service fee calculation unit (454F), may include a real estate agent evaluation unit (454G).

The location analyzer 454A may analyze the buyer's preferred location and the location of the seller's real estate, analyze the buyer's preference for the location of the seller's real estate, and deliver analysis data to the seller. In contrast, the seller's real estate corresponding to the buyer's preferred real estate location may be analyzed and analysis data may be delivered to the buyer.

The selling price analyzer 454B may analyze the buying price desired by the buyer and the selling price of the seller's real estate, and deliver information about the seller's real estate within the range of the buyer's buying price to the buyer. In contrast, by analyzing the selling price desired by the seller and the purchase price of the real estate of the buyer, information on the buyer matching the selling price desired by the seller may be transmitted to the seller.

The contract and realtor matching unit 454 sets the first contract conclusion range through the location analysis unit 454A and the sale price analysis unit 454B. That is, the first contract conclusion range is set by extracting buyers and sellers whose positions and selling prices match. The scope of the first contract conclusion may include multiple buyers and multiple sellers.

The contract matching unit 454C receives information on buyers and sellers included in the first contract conclusion range from the first database unit 451C and the second database unit 452C, and receives the second contract Set the tightening range. For example, information on the area buyers wish to purchase, information on price range, information on the number of rooms/toilet/parking, information on exclusive area/supply area, information on the date of approval for use, and information on preferred floor/facing Information, information on the number of households, contact information, and the name of the head of household, address, contact information, e-mail, date of acquisition of the apartment, photo of the apartment, exclusive area, number of rooms/toilet/parking, desired sale price The householder’s name, address, contact information, e-mail, date of acquisition of the apartment, photo of the apartment, exclusive area, number of rooms/toilet/parking space, and jeonse/deposit/monthly rent information for the apartment to be leased or leased The scope of the contract can be set. The scope of the second contract is narrowed down to one seller and multiple buyers.

The contract matching unit 454C sets the order according to the matching rate of a plurality of buyers corresponding to the scope of the second contract conclusion, and applies for the contract in order from the first-ranked buyer with the highest matching rate, and finally Matches 1 seller and 1 buyer.

Realtor matching unit (454D) may receive information on the matched contract from the contract matching unit (454C), and match the certified realtor to support the contract.

For example, the certified realtor matching unit 454D may receive information on the certified realtor from the third database unit 453C, and first select a certified realtor suitable for the matched contract. Here, the information on the licensed real estate agent may be information on a workable region, workable hours, gender, age, work experience, etc., but is not limited thereto. There may be at least two or more first-selected certified realtors, and among the first-selected certified realtors, a certified realtor with a high matching rate may sequentially request approval for contract assignment. Through the approval of the realtor, the contract and the realtor can be matched. If a licensed real estate agent with a high matching rate refuses approval, request approval for contract assignment to a subordinated licensed real estate agent.

Here, the matching rate of the real estate agent is 1. Whether the working area is close to the location on the contracted property, 2. Whether the working hours and the schedule of the seller and the buyer match (site visit, contract signing date, etc.), 3. Work experience, 4. The matching rate can be determined by considering the ratio of the pre-paid service fee out of the monthly limit service fee among the realtors registered in the realtor POOL. In the case of criterion 4, in order to guarantee a certain level of profit to the realtors registered in the realtor POOL, the monthly limit service fee for each realtor is set, and to give additional points in the matching rate to the realtor with the lowest service fee paid in the month am.

The monthly limit service fee may be set differently by each realtor according to work experience, number of contracts concluded, and evaluation by the realtor evaluation department.

In some embodiments, the monitoring unit 454E may check whether each step of contract conclusion is progressing well. For example, when a matched real estate agent meets a buyer or seller, a schedule must be entered in the monitoring unit 454E and approved. In addition, a schedule must be written in the monitoring unit 454E and approved for each of the steps, such as site visit, contract conclusion date, and contract conclusion completion. Through this, it is possible to further increase the reliability of real estate transactions.

In some embodiments, the service fee calculation unit 454F is a fee received by the real estate agent to support the completion of the contract, which may be paid at a certain rate of the contract real estate amount. For example, it may be within 0.5% to 2% of the contract real estate amount. However, it is not limited thereto. In addition, the service fee may be applied equally to all licensed real estate agents registered in the real estate agent POOL, but is not limited thereto, and may be applied differently depending on the work experience of each registered real estate agent registered in the realtor POOL, working area and time zone, real estate agent evaluation, etc. there is.

In some embodiments, the real estate agent evaluation unit (454G) may collect and analyze evaluation data for the real estate agent of the buyer and seller for the contract when the contract to which the real estate agent has been allocated is completed. Evaluation items for licensed real estate agents of buyers and sellers may be composed of various categories. For example, the realtor may be evaluated for various items such as service satisfaction, friendliness, professionalism, and punctuality. In some embodiments, the realtor evaluation data of the realtor evaluation unit (454G) may be reflected in the service fee calculation of the realtor.

Although the embodiments of the present invention have been described with reference to the accompanying drawings, those skilled in the art to which the present invention pertains can be implemented in other specific forms without changing the technical spirit or essential features of the present invention. you will be able to understand Therefore, the embodiments described above should be understood as illustrative in all respects and not limiting.

10: Direct real estate transaction system using AI
100: Buyer terminal
200: network
300: Buyer
400: Direct real estate transaction platform using AI
500: Certified broker terminal

Claims (8)

a buyer terminal linkage unit that receives information about the buyer from the buyer terminal;
a seller terminal interworking unit that receives information about the seller from the seller terminal;
A certified realtor terminal interlocking unit that receives information about the realtor from the realtor terminal; and
A contract and a realtor matching unit connected to the buyer terminal linking unit, the seller terminal linking unit, and the realtor terminal, respectively,
The contract and real estate agent matching unit analyzes the buyer's information, the seller's information, and the real estate agent's information to match the contract between the buyer and the seller, and a real estate direct transaction system using AI that matches the real estate agent to support the contract. .
According to claim 1,
The contract and realtor matching department,
Real estate direct transaction system using AI including a location analysis unit that analyzes the buyer's preferred location and the location of the seller's real estate, analyzes the buyer who prefers the location of the seller's real estate, and delivers the analysis data to the seller.
According to claim 2,
The contract and realtor matching department,
A real estate direct transaction system using AI further comprising a selling price analyzer that analyzes the purchase price desired by the buyer and the selling price of the seller's real estate and transmits information on the seller's real estate within the range of the buyer's purchase price to the buyer. .
According to claim 3,
The contract and realtor matching department,
Real estate direct transaction system using AI further comprising a contract matching unit for matching the contract between the buyer and the seller.
According to claim 4,
The contract and realtor matching department,
Real estate direct transaction system using AI further comprising a real estate agent matching unit for matching a real estate agent to support the contract of the buyer and the seller.
According to claim 5,
The contract and realtor matching department,
Real estate direct transaction system using AI further comprising a monitoring unit for checking whether the contract between the buyer and the seller is in progress.
According to claim 6,
The contract and realtor matching department,
The real estate direct transaction system using AI further comprising a service fee calculation unit for completing the contract of the buyer and the seller and calculating the service fee received by the realtor.
According to claim 7,
The contract and realtor matching department,
After the contract between the buyer and the seller is completed, direct real estate transaction using AI further comprising a real estate agent evaluation unit that collects and analyzes evaluation data on service satisfaction, friendliness, professionalism, and punctuality of the real estate agent from the buyer and the seller. system.

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