Method and system for providing real estate brokerage platform using subscription

Abstract

A system providing a real estate brokerage platform utilizing subscriptions may include memory and a processor for storing instructions. The system receives subscription application information from a user terminal, registers a subscriber based on the subscription application information, and stores and manages the subscriber's real estate transaction history information and property preference information. In response to a property search request from a subscriber, the system provides property information based on the stored transaction history information and property preference information, and communicates with a broker terminal to receive and update property information. The system transmits a subscriber's property inquiry to the broker terminal, manages the subscriber's subscription status, controls the accumulated subscription fee so that it does not exceed a set limit, manages real estate transaction contract information, and controls the transmission of notifications related to contract renewal to the subscriber terminal.

Description

Technology Field

[0001] The present invention relates to a real estate brokerage platform, and more specifically, to a platform system that provides a demand-oriented subscription-based real estate brokerage service and a method of operating the same. Background Technology

[0003] Brokerage platforms currently operating in the real estate market operate in a manner where sellers and landlords (hereinafter referred to as "Suppliers") entrust properties to licensed real estate agents, register them on the platform, and then buyers and tenants (hereinafter referred to as "Demanders") search for them to finalize transactions. Under this system, licensed real estate agents must pay substantial monthly advertising fees to the platform for property registration and exposure, which can serve as a fixed cost for brokerage operations.

[0004] Furthermore, the structure of collecting the statutory brokerage fee in a lump sum from the buyer upon a successful transaction places a significant temporary financial burden on the buyer, while for real estate agents, it can lead to an unstable income structure dependent on whether the transaction is completed. In particular, as real estate transactions have declined due to the recent economic downturn, the income of real estate agents has become even more unstable, which serves as a factor undermining the overall stability of the brokerage industry. The problem to be solved

[0006] The present invention utilizes a subscription-based real estate brokerage service to solve the aforementioned problems. Through this, it aims to provide a new platform system that offers stable income to licensed real estate agents and reduces the economic burden on consumers. In particular, it can shift the market paradigm through a new type of real estate brokerage platform that secures and manages consumer members. means of solving the problem

[0008] A system providing a real estate brokerage platform utilizing subscriptions may include memory and a processor for storing instructions. The system receives subscription application information from a user terminal, registers a subscriber based on the subscription application information, and stores and manages the subscriber's real estate transaction history information and property preference information. In response to a property search request from a subscriber, the system provides property information based on the stored transaction history information and property preference information, and communicates with a broker terminal to receive and update property information. The system transmits a subscriber's property inquiry to the broker terminal, manages the subscriber's subscription status, controls the accumulated subscription fee so that it does not exceed a set limit, manages real estate transaction contract information, and controls the transmission of notifications related to contract renewal to the subscriber terminal. Effects of the invention

[0010] The method and system for providing a real estate brokerage platform using a subscription according to the present invention can provide the following effects. Licensed real estate agents can secure stable monthly income proportional to the number of subscribers, thereby improving the sustainability of the brokerage business. Consumers can reduce their economic burden as the temporary burden of brokerage fees is distributed over a monthly subscription fee.

[0011] Furthermore, the subscription-based real estate brokerage platform according to the present invention can enhance the stability of the platform by inducing long-term subscriptions from members through contract renewal and post-management services. In addition, it can revitalize transactions across the entire market through cooperation with existing real estate platforms and local real estate agents.

[0012] The method and system for providing a real estate brokerage platform using a subscription according to the present invention can promote the digital transformation of the real estate brokerage market through a new subscription-based business model. In particular, it can contribute to improving the soundness of the brokerage market by generating stable revenue even during economic downturns. Furthermore, it can contribute to the advancement of the real estate market by resolving information asymmetry between buyers and sellers and increasing transaction transparency. Brief explanation of the drawing

[0014] FIG. 1 is a block diagram showing the configuration of a real estate brokerage platform providing system using a subscription according to one embodiment. Figure 2 is a flowchart illustrating a method of providing a real estate brokerage platform using a subscription. Figure 3 is a flowchart illustrating a method of providing a real estate brokerage platform using a subscription. Figure 4 is a flowchart illustrating a method of providing a real estate brokerage platform using a subscription. Figure 5 is a flowchart illustrating a method of providing a real estate brokerage platform using a subscription. Specific details for implementing the invention

[0015] FIG. 1 is a block diagram showing the configuration of a real estate brokerage platform providing system using a subscription according to one embodiment.

[0016] A system (100) according to one embodiment may include a processor (120) and a memory (130), and some of the illustrated components may be omitted or substituted. A system (100) according to one embodiment may be a server or a terminal. According to one embodiment, the processor (120) is a component capable of performing operations or data processing regarding the control and / or communication of each component of the system (100), and may be composed of one or more processors. The memory (130) may store information related to the method described above or store a program in which the method described above is implemented. The memory (130) may be volatile memory or non-volatile memory. The memory (130) may store various file data, and the stored file data may be updated according to the operation of the processor (120).

[0017] According to one embodiment, the processor (120) can execute a program and control the device (100). The code of the program executed by the processor (120) can be stored in memory (130). Operations of the processor (120) can be performed by loading instructions stored in memory (130). The system (100) can be connected to an external device (e.g., a personal computer or a network) through an input / output device (not shown in the drawing) and exchange data. The processor may have a form capable of executing software to control various components of the electronic device, namely hardware or software, and performing various data processing and operations. For example, the processor may have a form capable of storing commands or data received from a sensor module or a communication module in volatile memory, processing them, and storing the resulting data in non-volatile memory. Such a processor may include a main processor and an auxiliary processor, and the auxiliary processor may have a form capable of consuming less power than the main processor or being optimized for specific functions. The auxiliary processor may operate on behalf of the main processor when it is inactive, or operate together with it when it is active to control functions related to the display module, sensor module, or communication module.

[0018] Auxiliary processors can be implemented as functionally related components, such as image signal processors or communication processors, and may have a hardware structure specialized for processing artificial intelligence models. These AI models are generated through machine learning and can be trained either within the electronic device or via a separate server. Learning algorithms may include supervised, unsupervised, semi-supervised, and reinforcement learning, and the AI ​​models may consist of multiple artificial neural network layers.

[0019] A system (100) according to one embodiment may include a processor (120) and a memory (130). A system (100) according to one embodiment may be the server or terminal described above. The memory (130) may store information related to the method described above or store a program in which the method described above is implemented. The memory (130) may be volatile memory or non-volatile memory. The memory may store data used in various components of an electronic device and may have a form that includes input and output data related to software. The memory may have a form that is divided into volatile or non-volatile.

[0020] According to one embodiment, the system (100) may classify a user who has applied for a subscription into general members and special members upon registration of the subscription member, and apply differentiated subscription fees to each. Upon registration of the subscription member, the system stores and manages the member's transaction history information and property preference information, thereby providing customized services for each member. Based on the stored transaction history and preference information, the system (100) may provide optimized property information in response to the subscriber's property search request, and may receive and update property information in real time through communication with a broker's terminal.

[0021] According to one embodiment, the system (100) can monitor the subscription status of a subscriber in real time and control the accumulated subscription fee so that it does not exceed a set limit. At this time, the subscription fee is applied differentially depending on the time of initial subscription to the platform, and a preferential subscription fee discounted compared to the basic subscription fee may be applied to initial subscribers. In addition, if a subscriber requests early termination, the system (100) can calculate a penalty fee by considering the remaining subscription period and usage history, and the penalty fee may be waived in the event of termination before the transaction is completed or in the event of force majeure such as natural disasters.

[0022] According to one embodiment, the system (100) can digitize information on completed real estate transaction contracts using OCR technology and store it in a database. Using text mining technology, it can automatically analyze contract conditions and extract important points such as the scheduled renewal date, rent increase rate limit, and priority exercise deadline to set up step-by-step notifications. Multiple notification points can be set from six months to two weeks before the contract expires, and at each point in time, notifications related to contract renewal can be sequentially sent to the subscriber's terminal.

[0023] According to one embodiment, the system (100) can collect platform activity indicators including the monthly number of property views, inquiry conversion rate, visit execution rate, transaction success rate, and contract renewal rate of a subscriber and calculate a reliability score for each member by weighting and averaging them. Differentiated benefits, such as subscription fee discounts, brokerage fee reductions, and contract guarantee services, can be automatically granted based on the calculated score. Additionally, a tenant risk rating can be calculated by applying a comprehensive evaluation model to the subscriber's transaction history over the past three years, personal credit rating information, and real estate asset information held by the subscriber, and a lease guarantee service and vacancy compensation program can be provided to members whose rating is above a certain standard.

[0024] According to one embodiment, the system (100) can calculate an investment value index by collecting and analyzing real-time regional actual transaction data, market price information, development prospects, and policy changes. By matching the calculated investment value index with the preference profile of a subscriber, a customized investment analysis report can be provided periodically, thereby supporting the subscriber's investment decision-making.

[0025] According to one embodiment, the system (100) can store and manage a member's personal information and transaction history in a centralized database upon registration of a subscriber. The personal information may be stored encrypted using a standard encryption algorithm, and the transaction history information may include information such as the type, price range, and region of properties traded by the member in the past. The system (100) can prevent tampering and ensure traceability of this information by utilizing blockchain technology, and can guarantee data stability through regular data backup and disaster recovery systems.

[0026] According to one embodiment, the system (100) may implement a payment system linked with a PG company for automatic payment of subscription fees. Subscription fees may be automatically paid on a designated date each month through credit card or account information registered by the subscriber, and in the event of payment failure, an immediate notification may be sent through various channels such as push notifications, SMS, and email, and a re-payment may be attempted within 5 days. In the event of early cancellation, a refund amount calculated on a pro-rata basis according to the remaining days may be automatically refunded to the member's payment method.

[0027] According to one embodiment, the system (100) can collect and analyze data such as real-time market price information, regional development information, and policy changes through API integration with an external real estate information provider. The collected data can be processed through a machine learning algorithm to improve the accuracy of property recommendations and can provide non-face-to-face property tour services in conjunction with VR technology. Additionally, through big data analysis, it can calculate regional investment value indices and match them with the investment propensity of subscribers to propose customized investment opportunities.

[0028] According to one embodiment, the system (100) can provide an intuitive user interface to facilitate property search and inquiry for subscribers. Properties in an area of ​​interest can be visually explored through a map-based property search function, and property search conditions can be entered by voice using voice recognition technology. It can be configured to receive immediate notifications regarding real-time price changes or the registration of new properties of interest, and detailed property information can be provided in various multimedia forms such as photos, videos, and VR.

[0029] According to one embodiment, the system (100) may operate an evaluation system to manage the service quality of affiliated brokers. A grade may be assigned to each broker by comprehensively analyzing factors such as the number of listings registered, transaction success rate, customer response speed, and member evaluation score, and incentives such as commission discounts or top listing exposure may be provided to brokers with excellent grades. For brokers found to have engaged in inappropriate behavior, such as false listings or exaggerated advertising, phased sanctions such as warnings, restrictions on listing registration, and termination of affiliation may be taken.

[0030] According to one embodiment, the system (100) may operate professional counselors and a legal advisory team to resolve disputes that may arise during the transaction process. It may provide real-time legal advice regarding real estate transaction contracts, and in the event of a dispute, it may listen to the opinions of both parties and review relevant laws and precedents to derive a reasonable arbitration proposal. The dispute resolution process is recorded in a database and can be used as reference material when similar cases occur, and if necessary, legal response support can be provided through affiliated law firms.

[0032] Figure 2 is a flowchart illustrating a method of providing a real estate brokerage platform using a subscription.

[0033] Although processes, methods, algorithms, etc. are described sequentially in the flowchart of FIG. 2, they may be configured to operate in any suitable order. In other words, the steps of the processes, methods, and algorithms described in various embodiments of the present invention do not need to be performed in the order described in the present invention. Even if some steps are described as being performed asynchronously, in other embodiments, such steps may be performed simultaneously. The processes illustrated in the drawings are not excluded from other changes or modifications, and none of the illustrated processes or steps are essential to one or more of the various embodiments of the present invention.

[0034] In operation 210, the system (100) can register subscribers and manage transaction history and preference information.

[0035] According to one embodiment, the system (100) can perform subscriber management and provide property listing information based on a mobile app environment. When registering a subscriber, the identity is verified through mobile phone identity verification, and the member's real estate transaction history and property preference information can be stored in a database and managed systematically. At this time, the transaction history information may include information such as the type, price range, and region of properties traded in the past, and the property preference information may include the characteristics of properties frequently searched by the member, areas of interest, and preferred price ranges.

[0036] In operation 220, the system (100) provides customized property information based on stored transaction history and preference information, and can receive and update property information by communicating with a broker terminal.

[0037] According to one embodiment, when there is a request for property search from a subscriber, the system (100) can provide customized property information to the member by analyzing stored transaction history and preference information based on artificial intelligence (AI). For example, if a specific member frequently searches for apartments in Geumcheon-gu in the 200-300 million won range, new properties that meet those conditions can be recommended first. In addition, it can receive new property information and update existing property information by performing real-time communication with a real estate agent terminal, and can immediately transmit the subscriber's property inquiry to the relevant real estate agent terminal.

[0038] In operation 230, the system (100) can manage subscription status and subscription fees, manage real estate transaction information, and send notifications related to contract renewal.

[0039] According to one embodiment, the system (100) can monitor the subscription status of a subscriber in real time to manage the subscription fee so that it does not exceed a set limit. The subscription fee is divided into general members and special members, and a preferential subscription fee (e.g., 9,900 won for general members, 8,000 won for special members) may be applied to initial subscribers of the platform. The types or prices of the rate plans are merely examples and are not limited thereto, and may vary depending on the settings.

[0040] In addition, when a real estate transaction contract (e.g., a lease contract) is concluded, the system (100) can store contract information in a database and send notifications regarding contract renewal to the subscriber's terminal in stages from six months to two weeks before the contract expiration date. At this time, the notification content may include information such as the contract expiration date, the deadline for applying for renewal, and the range of limits on rent increases, and can provide contract renewal services to members who maintain their subscription status without additional brokerage fees.

[0042] Figure 3 is a flowchart illustrating a method of providing a real estate brokerage platform using a subscription.

[0043] In the flowchart of FIG. 3, processes, methods, algorithms, etc. are described sequentially, but they may be configured to operate in any suitable order. In other words, the steps of the processes, methods, and algorithms described in various embodiments of the present invention do not need to be performed in the order described in the present invention. Even if some steps are described as being performed asynchronously, in other embodiments, such steps may be performed simultaneously. The processes illustrated in the drawings are not to exclude other changes or modifications, and none of the illustrated processes or steps are essential to one or more of the various embodiments of the present invention.

[0044] In operation 310, the system (100) can register subscribers by classifying them into general members and special members, and apply differentiated subscription fees to each.

[0045] According to one embodiment, the system (100) may classify and register members into general members and special members by considering the member's transaction purpose, investment propensity, asset size, etc., upon subscription. General members can use basic property search and brokerage services, while special members can additionally use premium services (e.g., VR property tour, assignment of professional consultant, etc.). Accordingly, subscription fees may also be applied differentially, with a basic subscription fee for general members and a premium subscription fee for special members. The criteria for classifying members or the types of members are merely examples and may vary depending on the settings.

[0046] In operation 320, the system (100) applies a differential subscription fee depending on the time of subscription application, but may apply a preferential subscription fee to early platform subscribers.

[0047] According to one embodiment, the system (100) may implement a differentiated subscription fee policy based on the time of subscription application for the initial activation of the platform. Specifically, a preferential subscription fee (e.g., 9,900 won for general members, 8,000 won for special members) may be applied to initial subscribers who sign up within the period that ends earlier between three months from the date of announcement of intellectual property rights and one month from the date of launch of the platform. For subscribers who sign up after that period, a standard rate (e.g., 19,900 won for general members, 9,900 won for special members) may be applied. The types and prices of the rate plans are merely examples and are not limited thereto, and may vary depending on the settings.

[0048] In operation 330, the system (100) can set multiple notification times based on the contract expiration date and sequentially send notifications related to contract renewal at each notification time.

[0049] According to one embodiment, the system (100) stores real estate transaction (e.g., lease) contract information in a database and can automatically set multiple notification points, such as 6 months, 5 months, 4 months, 3 months, 2 months, 1 month, and 2 weeks prior to the contract expiration date. At each notification point, information related to contract renewal (e.g., contract expiration date, limit on rent increase rate, deadline for exercising the right to request contract renewal, etc.) can be sequentially transmitted to the subscriber's terminal via various channels such as push notifications, SMS, and email.

[0050] In operation 340, the system (100) analyzes existing transaction history and market price information of the region to suggest optimal renewal conditions and can provide contract renewal services to members who maintain their subscription status without additional brokerage fees.

[0051] According to one embodiment, the system (100) can calculate optimal contract renewal conditions by analyzing accumulated transaction history data and real-time market price information based on AI. For example, it can propose reasonable renewal conditions to both the landlord and the tenant by comprehensively considering factors such as the rate of increase in rent in the area, transaction price trends of similar properties, and supply and demand conditions. In particular, the benefits of the subscription service can be enhanced by waiving brokerage fees incurred during the contract renewal process for members who maintain their subscription status. This can have the effect of promoting contract renewal for existing tenants and inducing continuous use of the subscription service.

[0053] Figure 4 is a flowchart illustrating a method of providing a real estate brokerage platform using a subscription.

[0054] In the flowchart of FIG. 4, processes, methods, algorithms, etc. are described sequentially, but they may be configured to operate in any suitable order. In other words, the steps of the processes, methods, and algorithms described in various embodiments of the present invention do not need to be performed in the order described in the present invention. Even if some steps are described as being performed asynchronously, in other embodiments, such steps may be performed simultaneously. The processes illustrated in the drawings are not to exclude other changes or modifications, and none of the illustrated processes or steps are essential to one or more of the various embodiments of the present invention.

[0055] In operation 410, the system (100) can automatically adjust the subscription fee and create a member's preference profile to provide a customized listing.

[0056] According to one embodiment, the system (100) can automatically adjust the subscription fee by applying a predefined subscription fee adjustment rule based on the elapsed time since the subscription application of the member and the cumulative number of completed transactions. Additionally, the system can automatically generate an individual preference profile by analyzing the member's property search patterns, inquiry history, and actual transaction data using a machine learning algorithm. The generated preference profile can be combined with real-time property data to construct a customized list of properties with assigned priorities. For example, for a member who frequently searches for newly built apartments near a subway station in a specific area, new properties that meet those conditions can be recommended preferentially.

[0057] In operation 420, the system (100) can digitize and store the contract using OCR and analyze the contract conditions using text mining to set up notifications for important points in time.

[0058] According to one embodiment, the system (100) can digitize a completed real estate transaction contract using optical character recognition (OCR) technology and store it in a database. The stored contract information can be automatically analyzed through text mining technology to extract key details of the contract conditions (e.g., contract period, rent, security deposit, contract renewal conditions, etc.). Based on the extracted information, important points such as the scheduled renewal date, rent increase rate limit, and priority exercise deadline can be identified, and step-by-step notifications regarding them can be automatically set.

[0059] In operation 430, the system (100) can collect platform activity indicators of members to calculate a reliability score and grant differentiated benefits based on the score.

[0060] According to one embodiment, the system (100) can calculate a reliability score for each member by collecting platform activity indicators on a monthly basis, such as the number of monthly property views by a member, inquiry conversion rate (ratio of inquiries to property views), visit execution rate (ratio of actual visits to inquiries), transaction success rate (ratio of contract signing to visits), and contract renewal rate, and by weighting the average. Differentiated benefits, such as subscription fee discounts, brokerage fee reductions, and contract guarantee services, can be automatically granted based on the calculated score.

[0061] In operation 440, the system (100) evaluates the member's transaction history and credit information to determine the tenant risk grade, and can provide guarantee services to members with a grade above the standard.

[0062] According to one embodiment, the system (100) can calculate a tenant risk rating by applying a model that comprehensively evaluates a subscriber's transaction history over the past three years, personal credit rating information, and real estate asset information held. In this case, the transaction history may include the faithful fulfillment of past lease contracts and delinquency history, and the personal credit rating information may consider credit rating, income level, debt ratio, etc. For members whose calculated rating is above a pre-set standard, a lease guarantee service and a vacancy compensation program may be provided.

[0063] In operation 450, the system (100) can calculate an investment value index by analyzing actual transaction data and market price information, and provide a customized investment analysis report by matching it with member preferences.

[0064] According to one embodiment, the system (100) can calculate an investment value index by collecting and analyzing real-time data on actual transactions by region, market price information, development prospects, policy changes, etc. The calculated investment value index can be matched with a member's preference profile and used to generate a personalized investment analysis report. This report may include information such as the appropriate investment price, expected rate of return, risk analysis, and future price outlook, and may be regularly updated and provided to the member.

[0065] According to one embodiment, the system (100) may automatically cancel the subscription and notify the user if the total amount of the subscription fee exceeds a legal limit. The system (100) may check whether the total subscription fee paid at the time of payment of the subscription fee for the following month exceeds 50% of the legal maximum limit of brokerage fees calculated based on the actual transaction price reported in the real estate transaction report. The system (100) may automatically cancel the subscription and notify the user whether to subscribe additionally if the amount exceeds 50% of the legal maximum limit of brokerage fees.

[0066] According to one embodiment, the system (100) may apply a penalty fee that is differentiated according to the transaction stage when a subscription is terminated midway. The system (100) may calculate a penalty fee within 50% of the legal maximum brokerage commission calculated based on the actual transaction price reported in the real estate transaction report when a subscription is terminated midway and charge this amount to the person who terminated midway. However, the system (100) may not charge a penalty fee if the subscriber terminates midway before a new brokerage and transaction take place. This penalty fee policy is intended to ensure the stable operation of the platform and the continuity of the subscription service, and may apply reasonably differentiated standards according to the transaction progress stage.

[0068] Figure 5 is a flowchart illustrating a method of providing a real estate brokerage platform using a subscription.

[0069] In operation 502, the system (100) can receive a consultation request from a user. The consultation request may be made via a mobile app or web platform and may be received in various forms, such as viewing property information, coordinating a visit schedule, or inquiring about contract conditions. For example, this may include cases where the user inquires about detailed information about a property they are interested in or whether an actual visit is possible.

[0070] In operation 504, the system (100) can receive a consultation request. Specifically, the system can record the received consultation request in a database and systematically manage it by assigning a unique identification number to the request. At this time, the date and time of the consultation request, the content of the inquiry, etc., along with the user's basic information (contact information, preferred area, desired price range, etc.) may be stored.

[0071] In operation 506, the system (100) can conduct a consultation and identify the needs of the consumer. In this process, the system can analyze the specific needs of the consumer by utilizing an artificial intelligence (AI)-based consultation engine. For example, it can identify detailed requirements of the consumer, such as looking for an apartment in Gangnam-gu with an exclusive area of ​​59 square meters or more in the 2 billion won range, or looking for a newly built villa with at least one parking space for a monthly rent of 1.5 million won or less.

[0072] In operation 510, the system (100) can check whether the user has submitted a subscription proposal and application. At this time, the system provides information on the advantages of the subscription service (reduction of brokerage fees, preferential benefits, after-sales service, etc.) and allows the user to choose between a general member and a special member.

[0073] If there is a subscription offer and application (Yes), in operation 512, the system (100) can receive the subscription fee and register the platform member. Specifically, member information can be registered through an identity verification process, and the set subscription fee (e.g., 9,900 won for general members, 8,000 won for special members) can be received.

[0074] In operation 514, the system (100) can perform a request for cooperation in joint brokerage from a real estate agent on the supplier's side. At this time, it can support a smooth transaction by conveying the desired date and time of visit, special details, etc., along with the subscriber's information.

[0075] In operation 516, the system (100) can proceed with the contract. In this process, the system can provide a standard contract template and clearly record the contract conditions (transaction price, down payment, balance payment schedule, etc.). In addition, after the contract is completed, it can support the conclusion of the contract remotely through an electronic signature function.

[0076] In the case where there is no subscription proposal or application (No), in operation 522, the system (100) can perform a request for cooperation in joint brokerage with a real estate agent on the supplier's side. This is a case where a general transaction proceeds without a subscription application, and the system (100) can proceed with the transaction in cooperation with a real estate agent on the supplier's side in the same way.

[0077] In operation 524, the system (100) can proceed with the contract. In this case, costs are charged based on the statutory brokerage fee, and benefits exclusive to subscribers, such as after-sales service, may not be provided.

[0078] In operation 526, the system (100) may terminate after negotiating and receiving the brokerage fee. For subscribers, settlement is completed with the previously paid subscription fee, and for non-subscribers, the negotiated brokerage fee may be received. All transaction information is stored in a database and can be used as reference material later.

[0079] In operation 530, the system (100) can check whether there is a contract renewal or a new consultation request. For example, in the case of a lease contract, the renewal notice can begin 6 months before the contract expires, and new property information can be provided to subscribers first to encourage continuous transactions. If there is a contract renewal or a new consultation request (Yes), the system can return to operation 514 and repeat the procedure, and if there is no contract renewal or a new consultation request (No), the process can be terminated.

[0082] According to one embodiment, when the system (100) receives a request to register a property from a property supplier terminal, it verifies the authenticity of the mobile phone identity verification and the authenticity of the land register in real time by linking with the e-government system, verifies the authenticity of the registered property photos through artificial intelligence-based image analysis, and stores detailed property information including 360-degree VR shooting, drone footage, sunlight analysis data, noise level measurement data, and accessibility index of surrounding facilities for the registered property in a blockchain-based database.

[0083] The system (100) can perform multiple verification procedures on a property listing provider's registration request. First, the identity of the property listing provider can be verified through mobile phone identity verification, and the authenticity of the land register can be verified by linking in real-time with the e-government system. Subsequently, AI-based image analysis technology can be applied to verify whether the uploaded property photos match the actual property. For example, metadata analysis of the photos, verification of image watermarks, and duplicate checks for similar images can be performed. For registered properties, the interior space can be recorded in detail through 360-degree VR shooting, and the building exterior and surrounding environment can be photographed using a drone. In addition, objective residential environment data can be collected by measuring sunlight and noise levels using professional equipment. An accessibility index can be calculated by calculating walking and vehicle travel times to nearby facilities (subway stations, schools, hospitals, etc.). All property details collected in this way can be encrypted and stored in a blockchain-based database to prevent tampering.

[0084] According to one embodiment, the system (100) calculates a reliability score by comprehensively analyzing the past visit fulfillment rate, contract success rate, and credit evaluation information of the property buyer, executes a differentiated visit reservation deposit calculation algorithm based on the score and the property price range, checks whether the visit assistant has arrived at the site through a GPS-based real-time location authentication system when making a visit reservation, verifies the visitor's identity through biometric authentication, automatically records the visit time and stay time through IoT sensors, automatically detects bad behavior through deep learning-based behavior pattern analysis and assigns penalty points, and in the case of posting a false property, performs automatic verification by combining image pattern matching and price deviation analysis.

[0085] The system (100) can evaluate the reliability of prospective buyers of properties from various angles. It can calculate a comprehensive reliability score by analyzing past visit appointment fulfillment, the rate of actual contracts, and personal credit information using an AI algorithm. A differentiated visit reservation fee can be set by considering this score and the price range of the property. When visiting, it can verify whether the visit assistant has arrived at the site through GPS-based real-time location authentication and verify the visitor's identity through biometric authentication (fingerprint, facial recognition, etc.). It can automatically record the start and end times of the visit through IoT sensors and detect misconduct such as illegal filming or property damage by analyzing the visitor's behavioral patterns using deep learning technology.

[0086] According to one embodiment, the system (100) detects abnormal visit requests or transaction condition presentations, calculates a risk score for the user's account and applies a step-by-step usage restriction, calculates a preference index for each listing, calculates a comprehensive popularity score by weighted summing the number of times a listing is registered as a favorite, the visit request rate, the actual visit completion rate, and the transaction success rate, and can automatically adjust the listing exposure ranking based on this.

[0087] The system (100) can operate an abnormal transaction detection system (FDS) to monitor abnormal visit requests or transaction conditions in real time. For example, if multiple visit requests for high-priced listings or price offers significantly different from market prices are detected within a short period, a risk score may be imposed on the relevant account. Depending on the accumulated risk score, tiered sanctions such as restrictions on visit reservations, increased deposits, and stricter real-name verification may be applied. Additionally, to objectively evaluate the popularity of listings, indicators such as the number of registered interests, visit request rates, actual visit rates, and contract completion rates may be collected and weighted to calculate a comprehensive score. This score can be used as a key factor in determining the exposure ranking of listings.

[0090] According to one embodiment, the system (100) may impose a first penalty point on a listing provider when a false listing photo is detected by AI-based image analysis, a second penalty point when a discrepancy between drone shooting results and registration information is found, and a third penalty point when a visit appointment verified by an IoT sensor is not fulfilled, and may impose a fourth penalty point on a listing buyer when a provisional contract written as a smart contract is unilaterally canceled, a fifth penalty point when a visit appointment verified by biometric authentication is not fulfilled, and a sixth penalty point when an unreasonable price is presented compared to the market price based on big data analysis.

[0091] According to one embodiment, the system (100) analyzes the severity and frequency of violations using a deep learning algorithm and calculates a cumulative penalty score by applying differential weights, and controls the automatic application of two or more sanctions by an artificial intelligence model based on the accumulated penalty score, such as restricting platform usage, increasing the deposit, mandating the use of an escrow account, mandating accompanying visits to safety companies, and strengthening blockchain-based identity authentication.

[0092] According to one embodiment, the system (100) may operate various penalty point systems for property suppliers and demanders. For example, if a property falsely registered by a supplier as a newly built apartment is confirmed through AI image analysis to actually be a multi-family house that is over 30 years old, a first penalty point of 30 points may be imposed. Additionally, if a video captured by a drone confirms that the "south-facing layout" in the registration information is actually "northeast-facing layout", a second penalty point of 20 points may be imposed. If the supplier fails to attend a site visit appointment three times in a row when confirmed by an IoT sensor, a third penalty point of 15 points may be imposed.

[0093] For example, in the case of a prospective buyer, if they unilaterally cancel a preliminary contract without justifiable cause after signing it via smart contract for an apartment located in Cheongdam-dong, Gangnam-gu, they may be subject to a 4th penalty point of 40 points. Additionally, if they fail to fulfill a visit appointment confirmed via fingerprint authentication two or more times, they may be subject to a 5th penalty point of 25 points. If they propose an unreasonable price of 20 million won per pyeong when big data analysis indicates the market price in the area is in the 40 million won range per pyeong, they may be subject to a 6th penalty point of 35 points. The types and magnitudes of penalty points are merely examples and may vary depending on the settings.

[0094] According to one embodiment, the system (100) can analyze the severity and frequency of violations through a deep learning algorithm. For example, in the case of serious violations such as false listing registration, a weight of 1.5 times may be applied to the basic score, and if the same violation is repeated, an additional weight of 1.2 times may be applied for each instance. If the penalty score calculated in this way accumulates to 50 points or more, a restriction on new listing registration for one month and a 50% surcharge on visit reservation fees may be automatically applied by the AI ​​model; if it accumulates to 80 points or more, the use of an escrow account and visits accompanied by security personnel may be mandatory; and if it accumulates to 100 points or more, blockchain-based high-intensity identity verification and mandatory subscription to guarantee insurance may be automatically applied.

[0095] For example, if Real Estate Agent A receives 30 points for the first false listing and then receives 36 points (weighted by 1.2) for the second false listing, accumulating a total of 66 points, the system may automatically restrict new listings for 30 days and increase the visit reservation deposit from the existing 100,000 won to 150,000 won. Additionally, if Tenant B receives a total of 65 penalty points for breaking a provisional contract (40 points) and failing to fulfill a visit appointment (25 points), the system may be configured to make the use of an escrow account mandatory for all transactions for the next three months and require a professional security officer to accompany the tenant during visits. The examples mentioned (e.g., points, penalties, etc.) are merely examples and may vary depending on the settings.

[0097] In the present invention, Artificial Intelligence (AI) refers to a technology that mimics human learning ability, reasoning ability, and perceptual ability and implements them in a computer, and may include concepts such as machine learning and symbolic logic. Machine Learning (ML) is an algorithmic technology that classifies or learns the characteristics of input data on its own. Artificial intelligence technology can perform judgments or predictions by analyzing input data through machine learning algorithms and learning the results. Furthermore, a technology that mimics the cognitive and judgment functions of the human brain by utilizing machine learning algorithms can also be understood as falling within the category of artificial intelligence.

[0098] Machine learning refers to the process of training neural network models based on experience with data processing, through which computer software can improve its own data processing capabilities. Neural network models are constructed by modeling the correlations between data, and these correlations can be expressed by various parameters. The core of machine learning lies in optimizing the model's parameters by extracting and analyzing features from given data to derive correlations between them, and repeating this process. For example, a neural network model can learn the mapping (correlation) between inputs and outputs for data provided as input-output pairs, and can also learn relationships by deriving regularities between data even when only input data is provided. Artificial intelligence learning models, or neural network models, are designed to implement the structure of the human brain on a computer and can include multiple network nodes with weights that mimic neurons in a neural network. These multiple network nodes can be interconnected, simulating the synaptic activity where neurons exchange signals through synapses. The multiple network nodes of an artificial intelligence learning model are located in layers of different depths and can exchange data according to convolutional connections. Examples of artificial intelligence learning models include artificial neural networks and convolutional neural networks (CNNs). In one embodiment, artificial intelligence learning models can be machine learned according to methods such as supervised learning, unsupervised learning, and reinforcement learning.Algorithms for machine learning that can be used include Decision Trees, Bayesian Networks, Support Vector Machines, Artificial Neural Networks, Ada-boost, Perceptrons, Genetic Programming, and Clustering.

[0099] CNNs are a type of multilayer perceptron designed to use minimal preprocessing. CNNs consist of one or more convolutional layers and general artificial neural network layers placed on top of them, and can additionally utilize weights and pooling layers. Thanks to this structure, CNNs can effectively process two-dimensional input data. Compared to other deep learning structures, CNNs demonstrate superior performance in the fields of image and speech and can be trained using standard backpropagation. A convolutional network is a neural network composed of a set of nodes with bound parameters. As the amount of available training data increases and computational power improves, the combination of advancements in algorithms such as discriminative linear units and dropout training has significantly improved many computer vision tasks. Currently, the volume of available datasets is so vast for many tasks that outfitting is not critical, and increasing the network size can improve test accuracy.

[0100] The embodiments described above may be implemented as hardware components, software components, and / or combinations of hardware and software components. For example, the devices, methods, and components described in the embodiments may be implemented using one or more general-purpose or special-purpose computers, such as, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate array (FPGA), a programmable logic unit (PLU), a microprocessor, or any other device capable of executing and responding to instructions. The processing unit may execute an operating system (OS) and one or more software applications executed on said operating system. Additionally, the processing unit may access, store, manipulate, process, and generate data in response to the execution of the software. For ease of understanding, the processing unit may be described as being used as a single unit, but those skilled in the art will understand that the processing unit may include multiple processing elements and / or multiple types of processing elements. For example, the processing unit may include multiple processors or one processor and one controller. Additionally, other processing configurations, such as parallel processors, are also possible.

[0101] Software may include computer programs, code, instructions, or a combination of one or more of these, and may configure a processing unit to operate as desired or command the processing unit independently or collectively. Software and / or data may be permanently or temporarily embodied in any type of machine, component, physical device, virtual equipment, computer storage medium or device, or transmitted signal wave in order to be interpreted by the processing unit or to provide instructions or data to the processing unit. Software may be distributed over networked computer systems and may be stored or executed in a distributed manner. Software and data may be stored on one or more computer-readable recording media.

[0102] Although the embodiments have been described above with reference to the limited drawings, those skilled in the art can apply various technical modifications and variations based on the above. For example, suitable results may be achieved even if the described techniques are performed in a different order than described, and / or if the components of the described system, structure, device, circuit, etc. are combined or assembled in a form different from described, or replaced or substituted by other components or equivalents.

Claims

Claim 1 A system for providing a real estate brokerage platform using a subscription, comprising: a memory for storing instructions; and a processor, wherein when the instructions are executed by the processor, the system receives subscription application information from a user terminal, registers a subscriber member based on the subscription application information, stores real estate transaction history information and property preference information of the subscriber member, provides property information based on the stored transaction history information and property preference information based on a property search request of the subscriber member, communicates with a broker terminal to receive and update property information, transmits a property inquiry from the subscriber member to the broker terminal, manages the subscription status of the subscriber member, controls the accumulated subscription fee so as not to exceed a set limit, manages real estate transaction contract information, and controls the transmission of a notification related to contract renewal to the subscriber member terminal. Claim 2 In Paragraph 1, when the above instructions are executed by the processor, the system classifies and registers subscribers as general members and special members, applies differentiated subscription fees according to membership grades to each of the general members and special members, applies the subscription fees differentially depending on the time of subscription application, applies a preferential subscription fee with a discount rate relative to the basic subscription fee to initial platform subscribers, calculates a penalty fee considering the remaining subscription period and usage history when a subscriber requests early termination, waives the penalty fee in the event of termination before the transaction is completed or in the event of force majeure, including natural disasters, and after the completion of the subscriber's transaction, stores real estate transaction contract information in a database, and in the case of lease contracts among the stored real estate transaction contracts, sets multiple notification points based on the contract expiration date—6 months, 5 months, 4 months, 3 months, 2 months, 1 month, and 2 weeks prior—based on the contract expiration date from the contract information, and sequentially sends notifications related to contract renewal to the subscriber's terminal at each notification point. A system that transmits, and when a subscriber requests a contract renewal, presents optimal renewal conditions analyzed by combining existing transaction history and market price information of the relevant region, and controls the provision of contract renewal services without additional brokerage fees to members who maintain their subscription status. Claim 3 In Paragraph 1, when the above instructions are executed by the processor, the system classifies and registers subscribers as general members and special members, applies differentiated subscription fees to each of the general members and special members, adjusts subscription fees by applying predefined subscription fee adjustment rules based on the elapsed time since the subscription application and the cumulative number of completed transactions, automatically terminates the subscription if the total subscription fee paid at the time of payment of the following month exceeds 50% of the statutory maximum brokerage commission calculated based on the actual transaction price reported in real estate transactions, and notifies the user whether to subscribe again, automatically generates a preference profile by analyzing the subscriber's property search patterns, inquiry history, and actual transaction data using a machine learning algorithm, generates and provides a customized property list with assigned priorities by combining the preference profile and real-time property data, digitizes real estate transaction contract information of subscribers whose transactions have been completed using Optical Character Recognition (OCR) technology and stores it in a database, and automatically analyzes contract conditions using text mining technology to include the scheduled renewal date, rent increase rate limit, and priority exercise period. It extracts critical points to set phased notifications, calculates a reliability score for each member by collecting and weighting platform activity indicators on a monthly basis—including monthly property views, inquiry conversion rates, visit execution rates, transaction completion rates, and renewal rates—and automatically grants differentiated benefits, including subscription fee discounts, brokerage fee reductions, and contract guarantee services, based on the score; calculates a tenant risk rating by applying a comprehensive evaluation model to the subscriber's transaction history over the past three years, personal credit rating information, and real estate asset information; provides lease guarantee services and vacancy compensation programs to subscribers whose rating meets or exceeds a pre-established standard; and calculates an investment value index by collecting and analyzing regional actual transaction data, market price information, development prospects, and policy changes in real time.A system that periodically provides customized investment analysis reports by matching them with the subscriber's preference profile, charges the subscriber a penalty amounting to no more than 50% of the statutory maximum brokerage commission calculated based on the actual transaction price reported in real estate transactions upon early termination, controls the system to ensure that no penalty is charged if the subscriber terminates the contract before a new brokerage or transaction takes place, and controls the system to waive penalties for termination due to natural disasters or force majeure.

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