Real estate matching device, real estate matching method and program

Abstract

To provide a technology capable of displaying information on supplied real estate provided by a seller and information on demand real estate presented by a buyer in a mutually associated manner. [Solution] The real estate matching device 20 comprises a registration unit 2041 that registers supply real estate information provided by sellers and demand real estate information presented by buyers, a matching unit 2042 that matches the supply real estate information registered by the registration unit 2041 with the demand real estate information, and a display unit 2043 that displays real estate information, and the display unit 2043 is capable of realizing at least one of a first mode in which the demand real estate information and the supply real estate information matched with the demand real estate information are displayed in association on the same screen, and a second mode in which the supply real estate information and the demand real estate information matched with the supply real estate information are displayed in association on the same screen.

Description

[Technical Field]

[0001] The present invention relates to a real estate matching device, a real estate matching method, and a program. [Background technology]

[0002] In order to streamline transactions between real estate information providers and users, a matching system has been proposed that collects and manages property information and provides information according to desired conditions (see, for example, Patent Document 1). In such a system, registered users input their desired property conditions and compare them with registered property information, thereby extracting and presenting properties that meet the conditions. In addition, providers can efficiently find buyers by presenting registered property information to multiple users. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2013-152598 Summary of the Invention [Problem to be solved by the invention]

[0004] However, in conventional technologies, even when the provided property information matches the demander's desired conditions, additional information such as how the result was calculated (matching reason) or to what extent the conditions are met (matching degree) is often not sufficiently presented. Furthermore, conventional systems are mainly limited to presenting information in one direction (the user searching for properties), and do not have a sufficient mechanism for simultaneously displaying mutually associated information to both the seller and the buyer.

[0005] The present invention has been made in consideration of the problems with the above-mentioned conventional technology, and aims to provide a technology that can display supply real estate information provided by sellers and demand real estate information presented by buyers in a mutually correlated manner. [Means for solving the problem]

[0006] A real estate matching device of one embodiment of the present invention comprises a registration unit that registers supply real estate information provided by sellers and demand real estate information presented by buyers, a matching unit that matches the supply real estate information registered by the registration unit with the demand real estate information, and a display unit that displays real estate information, and the display unit is capable of realizing at least one of a first embodiment in which the demand real estate information and the supply real estate information that matches with the demand real estate information are displayed in association with each other on the same screen, and a second embodiment in which the supply real estate information and the demand real estate information that matches with the supply real estate information are displayed in association with each other on the same screen.

[0007] A real estate matching method according to one embodiment of the present invention includes a registration process for registering supply real estate information provided by a seller and demand real estate information presented by a buyer; a matching process for matching the supply real estate information registered by the registration process with the demand real estate information; and a display process for executing at least one of a first display process for displaying the demand real estate information and the supply real estate information that matches with the demand real estate information in association on the same screen; and a second display process for displaying the supply real estate information and the demand real estate information that matches with the supply real estate information in association on the same screen.

[0008] A program according to one aspect of the present invention is a program for causing a computer to execute each step of the above-described real estate matching method. [Effects of the Invention]

[0009] The real estate matching device, real estate matching method and program according to the present invention have the advantage of being able to display supply real estate information provided by sellers and demand real estate information presented by buyers in a mutually associated manner. [Brief explanation of the drawings]

[0010] [Figure 1] 1 is a diagram illustrating an example of the overall configuration of a real estate matching system according to an embodiment of the present invention. [Figure 2] FIG. 2 illustrates an example of the hardware configuration of a user terminal and a server. [Figure 3] FIG. 2 is a diagram illustrating a functional configuration of a server. [Figure 4] FIG. 2 is a diagram illustrating an example of information configuration stored in a supply real estate information database. [Figure 5] FIG. 10 is a diagram showing an example of a display focusing on demand real estate information in the first mode. [Figure 6] FIG. 10 is a diagram showing an example of a display mainly showing supplied real estate information in the second mode. [Figure 7] FIG. 10 is a diagram showing an example of display for each buyer in the first mode. [Figure 8] FIG. 10 is a diagram showing an example of display for each seller in the second mode. [Figure 9] FIG. 10 is a diagram showing a detailed example of a matching information screen. [Figure 10] 10 is a flowchart illustrating an example of a processing procedure of the real estate matching system. [Figure 11] FIG. 10 is a diagram showing an example of a screen displaying a list of matching results in a card format. DETAILED DESCRIPTION OF THE INVENTION

[0011] Hereinafter, embodiments will be described with reference to the drawings. These embodiments are exemplary for explaining the present invention, and some omissions and simplifications have been made as appropriate for clarity of explanation. Furthermore, the present invention is not limited to these embodiments, and all applications consistent with the concept of the present invention are included within the technical scope of the present invention.

[0012] <System configuration> 1 is a diagram showing an example of the system configuration of a real estate matching system according to this embodiment. The real estate matching system 100 according to this embodiment is a system that handles supply real estate information provided by sellers and demand real estate information presented by buyers, and includes a staff member terminal 10, a server 20 as a real estate matching device, and a machine learning model service server 90. These devices are connected to each other so that they can communicate with each other via a communication network NW (e.g., the Internet or an intranet).

[0013] In this specification, a "seller" refers to a person who owns real estate and offers the real estate for sale. A seller may be a corporation or an individual, and information about the real estate owned by the seller is registered as supplied real estate information. "Supplied real estate information" refers to information that reflects the seller's sales needs, such as "which property they want to sell, for how much, by when, and under what conditions."

[0014] In addition, in this specification, "buyer" refers to a person who wishes to acquire real estate. The buyer may also be either a corporation or an individual, and information regarding their desired conditions is registered as real estate in demand information. "Real estate in demand information" refers to the desired acquisition conditions presented by the buyer, such as "budget, size, location, number of floors, land type," in other words, information that reflects their purchasing needs.

[0015] The real estate matching system 100 is a system that aims to increase the possibility of a transaction being concluded by registering information on supplied real estate provided by sellers and information on demand real estate presented by buyers and matching the two. In this system, sellers and buyers do not directly access the server 20, but rather an intermediary that mediates real estate transactions intervenes, and the server 20 is managed and operated by the intermediary.

[0016] Furthermore, in the real estate matching system 100, the server 20 cooperates with the machine learning model service server 90 to analyze the correspondence between real estate supply information and real estate demand information. This makes it possible to present more sophisticated and accurate matching results than conventional searches based on simple condition matching.

[0017] It is preferable that the machine learning model in the server 90 be a large language model (LLM), which is a type of natural language model, but this is not limited to this, and other types of machine learning models such as a small language model (SLM) or a multi-modal language model (MML) may also be used.

[0018] The salesperson terminal 10 is a terminal operated by a salesperson belonging to a real estate agent, and can be any terminal equipped with a communication function, such as a smartphone, tablet terminal, mobile phone, personal computer (PC), notebook PC, personal digital assistant (PDA), or home game console. All of these terminals can communicate with the server 20 via the communication network NW, and function as part of the real estate matching system 100. The salesperson can refer to the matching results generated by the server 20 by operating the salesperson terminal 10.

[0019] The server 90 is a server that provides an artificial intelligence service that accepts input information (hereinafter referred to as "prompts") including real estate supply information and real estate demand information, and generates response information to the prompts. For example, the server 90 can perform natural language processing, information generation, and the like using a large-scale language model (LLM) or a multimodal language model. Specific examples of models include OpenAI's GPT-4, GPT-4o, and GPT-5, Google's Gemini series, Anthropic's Claude series, and Meta's Llama series.

[0020] The server 20 receives real estate supply information and real estate demand information entered by the sales representative via the sales representative terminal 10, registers the information in a database, and executes matching processing. In addition, during the matching processing, the server 20 can access the server 90 as needed to request analysis using a machine learning model. This allows the server 20 to generate advanced matching results using natural language processing, etc., rather than simply matching conditions, and by returning the results to the sales representative terminal 10, it can support the sales representative in making proposals to sellers or buyers.

[0021] <Hardware configuration> FIG. 2 is a diagram illustrating an example of the hardware configuration of the user terminal 10 and the server 20. Each of the user terminal 10 and the server 20 includes a CPU (Central Processing Unit) 11, a storage device 12 such as a memory, a communication I / F (Interface) 13 for wired or wireless communication, an input device 14 for accepting input operations, and an output device 15 for outputting information. The various functional units included in each of the user terminal 10 and the server 20 can be realized by processing that is executed by each CPU 11 according to a program stored in each storage device 12. The program can be stored in, for example, a non-transitory recording medium. The server 20 may be configured with one or more information processing devices, or may be configured with a cloud server or a virtual server.

[0022] <Functional configuration of server 20> 3 is a diagram showing the functional configuration of the server 20. As shown in FIG. 3, the server 20 functions as a communication unit 201, a storage unit 202, and a control unit 203.

[0023] The communication unit 201 performs processing for the server 20 to communicate with external devices.

[0024] The storage unit 202 stores various databases such as a person in charge information database 211, a supplied real estate information database 212, and a demand real estate information database 213.

[0025] The person in charge information database 211 is a database for storing information about salespeople corresponding to sellers and buyers. The database records identification information for identifying salespeople (e.g., person in charge ID, name, organization, etc.), and also registers contact information (e.g., email address, telephone number, etc.) for ensuring contact means.

[0026] The supplied real estate information database 212 is a database that systematically stores information on each real estate property provided by a seller. As shown in Figure 4, this database stores basic attributes such as area (regional classification), location (prefecture, city, ward, town, or village), price conditions (lower and upper limits), and area conditions (lower and upper limits) for each property as supplied real estate information, as well as detailed items such as category (apartment, land, hotel, etc.), floor area ratio, building structure, and expected yield. This makes it possible to manage the type and conditions of properties from multiple angles, enabling efficient and highly accurate matching processing with demand real estate information.

[0027] The demand real estate information database 213 is a database that systematically stores desired conditions presented by buyers. In this database, the demand real estate information includes location information such as the address and area of ​​each real estate property, as well as basic attributes that are the premise of a transaction, such as type (residential, commercial, investment, etc.), land type, legal land use, and rights. Regarding the sales price, price indicators such as the price per tsubo (approx. 3.5 m2) and the unit price per type are recorded, and land use restrictions such as building coverage ratio, floor area ratio, and frontage road floor area ratio are also recorded. Furthermore, road information such as the width of the frontage road and road access status, and area information such as land area, measured land area, public record land area, and whether or not there is a private road burden are also stored. As a result, the demand real estate information database 213 manages the diverse desired conditions of buyers in detail and functions as a platform for achieving highly accurate matching with supply real estate information.

[0028] The control unit 203 is realized by the CPU 11 reading a program stored in the storage unit 202 and executing instructions included in the program. The control unit 203 operates in accordance with the program to perform functions shown as a registration unit 2041, a matching unit 2042, and a display unit 2043.

[0029] The registration unit 2041 has the function of registering the supplied real estate information and demand real estate information entered by the sales representative via the representative terminal 10 in a database according to a predetermined format. In this system, the registration unit 2041 systematically stores the input information in a database, thereby enabling centralized management of the needs of both the supply and demand sides, and providing a foundation for the subsequent matching processing unit 2042 to perform efficient and highly accurate matching using AI analysis.

[0030] The matching unit 2042 analyzes the supply and demand real estate information registered by the registration unit 2041 and extracts a group of properties with high compatibility based on the conditions of both. Specifically, the matching unit 2042 performs hybrid processing that combines multiple matching methods. For example, after initially extracting candidate properties based on basic criteria such as price range, area, land area, and floor area ratio using rule-based matching, the matching unit 2042 uses content-based filtering to calculate the similarity between desired attributes (e.g., characteristic terms such as "near a station," "for investment," and "redevelopment area") contained in the demand real estate information and the descriptions contained in the supply real estate information, scoring the candidate properties. Furthermore, collaborative filtering can be applied as needed to improve recommendation accuracy by referencing property data actually preferred by buyers who presented similar demand conditions in the past, as well as transaction history with sellers who presented similar supply conditions. By combining these methods, the matching unit 2042 evaluates the affinity between supply and demand from multiple perspectives without relying on a single algorithm, ultimately generating a group of highly compatible properties that sales representatives can refer to.

[0031] Furthermore, the matching unit 2042 can analyze the correspondence between the supply real estate information and the demand real estate information and generate a matching score that indicates the degree of compatibility between the two. First, hard filtering is performed based on required conditions such as price, area, and floor area ratio to form a candidate set, and then multiple sub-scores are calculated, such as rule-based compatibility, text similarity, and estimation by collaborative filtering. In particular, for text similarity, the matching unit 2042 can work in conjunction with the machine learning model of the server 90 to analyze free-text conditions and property descriptions and perform a similarity evaluation using feature words and embedding vectors.

[0032] The display unit 2043 visualizes real estate information, enabling the sales representative to efficiently make proposals to sellers or buyers via the sales representative terminal 10. Specifically, the display unit 2043 realizes at least one of a first mode in which demand real estate information and supply real estate information that matches the demand real estate information are displayed in association on the same screen, and a second mode in which supply real estate information and demand real estate information that matches the supply real estate information are displayed in association on the same screen. This allows the sales representative to intuitively grasp candidate properties that meet the buyer's desired conditions and potential buyers who are likely to be interested in the seller's property.

[0033] Furthermore, the display unit 2043 can display the supply real estate information that matches with the demand real estate information, or the demand real estate information that matches with the supply real estate information, together with the matching score.

[0034] 5 is a diagram showing a display example in the first mode. In the figure, a "basic information" area 30 is arranged in the upper part of the screen, and a summary of the demand real estate information is displayed. Specifically, attributes such as property type (e.g., building), desired area (e.g., Tokai / Chugoku), category (e.g., roadside, complex building, leisure-related facility, etc.), client contact name (e.g., Sakamoto Hanako), and status (e.g., not yet supported) are displayed in a list.

[0035] The middle section contains a "Detailed Conditions" area 31, where the buyer's desired conditions are displayed in detail, including numerical ranges. Examples of display items include budget, unit price, price per tsubo, remaining years, and area range (e.g., 158.5 m2). 2 ~515.63m 2 ), floor area ratio, maximum age of building, the name of the sales representative in charge of the project within the company (e.g., Mikako Maeda), and the update date (e.g., August 2, 2025). These items are automatically filled in based on the values ​​stored in the demand real estate information database 213, and icons and labels are used to improve readability.

[0036] In the "detailed information" area 32 below, requests and points of attention that cannot be fully expressed in the standard items (e.g., points to note regarding use, location preferences, desired contract conditions, etc.) can be freely written and displayed.

[0037] The bottom of the screen contains the "matching list" area 33, which is the key feature of the first aspect, and lists the supply-side candidates extracted and scored by the matching unit 2042 for the demand real estate information. Each row lists the company name of the candidate seller (e.g., Sato LLC, Ota LLC), the name of the seller's contact person (e.g., Kojima, Nozaki), and the matching rate (e.g., 65%, 30%). Each candidate row can be associated with a transition to the details screen (property-by-property view) of the corresponding supply real estate information.

[0038] With the above configuration, the buyer's demand real estate information (top to middle rows) and candidate supply real estate information that matches that demand (bottom list) are presented in a logically linked manner on the same screen, allowing sales representatives to continuously check the conditions, compare candidates, and secure a point of contact using just that screen.

[0039] 6 is a diagram showing an example of a display in the second mode. In the figure, a back button, the screen title, the seller (property owner) name, the transaction status, etc. are displayed at the top of the screen. In the "Basic Information" area 40 on the left side of the screen, location information such as the address and area, use and land type, legal land use, type of rights, and seller's contact information (contact name, etc.) are displayed in an organized format with tags and icons.

[0040] The "Numerical Information" area 41 on the right side of the screen lists items related to the sales price (total amount, price per tsubo, unit price per type, etc.), land use restrictions (building coverage ratio, floor area ratio, front road floor area ratio, etc.), road information (front road width, road access status), and area information (building area / total floor area, site area, whether or not there is a private road charge, etc.) in numerical form along with units.

[0041] The lower left side of the screen features a "Property Image" area 42, equipped with controls for enlarging and switching images (such as switching left and right). Adjacent to this is a "Related Materials" area 43, which displays related documents such as drawings and reports (e.g., Documents 31-33) in a list format, allowing users to preview or download them by selecting them. Furthermore, a "Transportation Access" area 44 lists access information such as the nearest train station, bus stop, and highway interchange.

[0042] In the "matching list" area 45 at the bottom right of the screen, potential buyers extracted by the matching unit 2042 for the relevant supply real estate information are displayed in a list with the buyer's company name, the name of the buyer's representative, and a matching score (displayed in %), and it is possible to sort by score and transition to a detailed screen for each candidate (reason for match, proposal statement, etc.). Each of these display elements is generated based on data stored in the supply real estate information database 212, demand real estate information database 213, and representative information database 211, and is configured so that sales representatives can immediately make proposals to sellers by referring to the screen.

[0043] Furthermore, in the first aspect, the display unit 2043 can display the demand real estate information for each buyer, and can also display the supply real estate information that matches the demand real estate information for each buyer. At this time, the buyer's person in charge information can be used as information for identifying each buyer.

[0044] Figure 7 shows a specific example of the "By Buyer" display in the first mode. The "Basic Information" area 50 at the top of the screen displays information about the buyer (company), such as whether they are open for business, the name of the main person in charge, the type of business / website URL, and the registration and update dates. The following "Internal Memo" area 51 allows free-form commenting of matters to be shared within the company.

[0045] The "List of Business Partner Representatives" 52 shows multiple representatives in card format, with each card displaying their name, email address, phone number, and business card image (a placeholder if not registered). The "List of Buying Needs" 53 in the lower section lists real estate demand information for each representative in rows, with a summary of the property type, desired area / prefecture, budget range, area range, floor area ratio, maximum age of building, and renewal date, all tagged. Furthermore, the "Matching List" 54 lists the supply real estate information extracted and evaluated by the matching unit 2042 for the relevant purchasing needs, along with candidate properties (or seller company names), seller representative names, property types, and status, along with a matching rate (%).

[0046] This display allows sales representatives to grasp basic information for each buyer company, internal shared notes, and the contact details and attributes of multiple representatives in one place. Demand conditions can also be organized and checked by representative, and candidate properties extracted based on this can be viewed in a list with matching rates, allowing efficient one-screen access from understanding the project status to identifying proposal candidates.

[0047] Furthermore, in the second aspect, the display unit 2043 can display the supply real estate information for each seller, and can also display the demand real estate information that matches the supply real estate information for each seller. At this time, the seller's person in charge information can be used as information for identifying each seller.

[0048] Fig. 8 shows a specific example of the "by seller" display in the second mode. Note that elements 50 to 54 shown in Fig. 7 and elements 60 to 64 shown in Fig. 8 are functionally identical, and are configured depending on whether the display target is "by buyer" or "by seller," so duplicate detailed explanations will be omitted here.

[0049] The "Basic Information" area 60 at the top of the screen displays information about the seller, such as whether the seller is available for business, the name of the main contact, the industry / website URL, and registration and update dates. The following "Internal Memo" area 61 allows for free-form commenting of matters to be shared within the company. Furthermore, the "Contact Contact List" 62 displays multiple seller contacts in card format, with each card displaying their name, email address, phone number, and business card image (or a placeholder if not registered). The "Selling Needs List" 63 in the middle section lists each contact's real estate supply information in rows, along with property type, location, price, area, floor area ratio, and building age restrictions. The "Matching List" 64 at the bottom of the screen displays potential buyers who have matched with the seller's property, along with the candidate company name, buyer contact name, property type, status, and match rate (%).

[0050] This display allows sales representatives to centrally check basic information and internal memos for each seller company, as well as grasp the contact details and attributes of multiple representatives in card format.In addition, while referencing real estate supply information organized by representative, potential buyers extracted for the property can be viewed along with their matching rate, allowing for efficient, single-screen operation from understanding the project status to identifying potential proposal candidates.

[0051] Furthermore, the matching unit 2042 can generate match reason information explaining why the supply and demand real estate information are determined to be a match, in addition to a matching score that quantifies the affinity between the supply and demand real estate information. The match reason information is not simply a list of matching conditions, but is organized to include information such as the fulfillment status of essential conditions such as price range and area, attribute compatibility such as area and land type, and collaborative filtering results based on past transaction history and similar cases. In particular, non-standard text information such as free-form text conditions and property descriptions is analyzed in conjunction with a large-scale language model (LLM) installed on the server 90, and context-based matching reasons are extracted. For example, if feature words such as "near the station" and "suitable for investment" are listed in both the demand and supply conditions, their correspondence is detected using natural language processing and presented as part of the matching reasons.

[0052] The display unit 2043 displays the generated match reason information together with the matching score and basic property information on the same screen. This allows sales representatives to intuitively understand which specific conditions match and from what perspective the property is evaluated as having high affinity, rather than simply relying on a numerical indicator such as "high score." Therefore, when making a proposal, sales representatives can provide a well-founded explanation such as, "This property is highly compatible with your desired conditions, particularly in terms of area and age of the building," which can be more persuasive to both buyers and sellers.

[0053] Furthermore, the matching unit 2042 has a function to automatically generate a proposal to be presented to the seller or buyer based on the generated matching score and match reason information. The content of the proposal goes beyond simply explaining the match of conditions, and after organizing the specific reasons for the suitability, it is written in natural language to promote the conclusion of the transaction. For example, it automatically generates text that is directly linked to actual proposal activities, such as, "This property is within the budget you provided, meets the desired area conditions, is within a five-minute walk from the station, and is expected to be highly profitable as an investment."

[0054] At this time, the large-scale language model (LLM) installed in the server 90 plays an important role. That is, the matching unit 2042 sends information on supplied real estate, information on demand real estate, past transaction cases, and match reason information to the server 90 as prompts, and constructs proposals through natural language generation by the LLM. Taking into account the relevance of the extracted conditions and characteristic words, the LLM can generate natural and persuasive wording that sales representatives can use directly in their work. This saves sales representatives the trouble of creating proposals from scratch and enables proposal quality to be maintained at a certain level or higher.

[0055] The display unit 2043 displays the proposal text thus generated on the screen in association with the seller's or buyer's contact information. This allows the sales representative not only to simply confirm the degree of suitability as a numerical value, but also to instantly obtain practical conversations and drafts of email texts when making a proposal, enabling the sales representative to proceed with negotiations quickly and efficiently.

[0056] 9 shows a detailed example of a "matching information" screen generated based on the functions of the matching unit 2042 and the display unit 2043. This diagram is characterized in that the seller's property information and the buyer's demand information are mutually associated, and further, match reason information and proposal statements are presented in an integrated manner.

[0057] First, the "Matching Properties" area 70 at the top of the screen displays the supplied real estate information registered by the seller. Specifically, the information includes the property name (e.g., Suzuki Information Co., Ltd.), price (e.g., 412,890,000 yen), property type (land), area (e.g., 420.47 m), etc. 2 ), and the name of the seller's representative for the property (e.g., Fujita Osamu), allowing sales representatives to intuitively grasp seller information.

[0058] Next, in the middle "Customer Information" area 71, real estate demand information related to the buyer is displayed in association with the buyer. Here, the buyer's company name (e.g., Kondo Printing LLC), industry (e.g., roadside), and the name of the buyer's representative associated with the property (e.g., Suzuki Nanaka) are clearly displayed. This allows the sales representative to grasp information about both the seller and the buyer simultaneously on one screen.

[0059] Furthermore, the bottom of the screen has a "Matching Reason" area 72 and a "Proposal Text" area 73. The "Matching Reason" area 72 displays information about the match reason generated by the matching unit 2042. This area organizes not only a simple numerical score but also the suitability basis based on the fulfillment status of essential conditions such as budget, floor space, and area, as well as free-form conditions. In particular, a large-scale language model (LLM) installed in the server 90 analyzes non-standard text conditions and explains the contextual correspondence between demand conditions and supply conditions.

[0060] Meanwhile, in the "Proposal" area 73, natural language text is automatically generated and displayed that sales representatives can use directly in their proposal activities to customers based on the match reason information and score. For example, content such as "The property in question meets the area requirements you have presented and is located in the desired area, so it is expected to be highly profitable as an investment target" is automatically displayed, allowing sales representatives to quickly make persuasive proposals.

[0061] The screen layout shown in Figure 9 thus presents seller information, buyer information, match reasons, and proposal text all in one place, allowing sales representatives to instantly obtain the basis for negotiations and practical explanations, thereby improving the efficiency of proposal preparation and negotiation activities.

[0062] <Processing Procedure> FIG. 10 is a flowchart showing an example of a processing procedure of the real estate matching system 100 according to this embodiment.

[0063] First, the registration unit 2041 of the server 20 registers the supplied real estate information and demand real estate information entered by the sales representative via the representative terminal 10 in a database according to a predetermined format (step S101). The registered real estate information is stored in various databases in the storage unit 202 of the server 20.

[0064] Next, the matching unit 2042 analyzes the supply real estate information and demand real estate information registered by the registration unit 2041, and extracts a group of properties that are highly suitable based on the conditions of both (step S102).

[0065] Next, the display unit 2043 displays the real estate information on the salesperson terminal 10, thereby supporting the salesperson in efficiently making proposals to sellers or buyers (step S103). Specifically, the display unit 2043 realizes at least one of a first mode in which demand real estate information and supply real estate information that matches the demand real estate information are displayed in association with each other on the same screen, or a second mode in which supply real estate information and demand real estate information that matches the supply real estate information are displayed in association with each other on the same screen.

[0066] According to the above process, the salesperson can intuitively grasp the relationship between the two on the screen of the salesperson terminal 10, and can continuously and efficiently confirm conditions, compare candidates, and present proposed candidates.

[0067] <Modification> The above embodiment is merely one of various embodiments of the present invention. The embodiment can be modified in various ways depending on the design, etc., as long as the object of the present invention can be achieved. Modifications of the embodiment are listed below. The modifications described below can be applied in appropriate combinations.

[0068] The display unit 2043 may display only the supplied real estate information or the demand real estate information for which the matching score is equal to or greater than a predetermined value. This allows sales representatives to focus on properties and customers with a high probability of closing a deal without being distracted by less relevant candidates. As a result, the amount of information on the screen is appropriately narrowed down, improving readability and operability, and simultaneously improving the efficiency and accuracy of proposal activities.

[0069] The display unit 2043 may sort and display the supplied real estate information or the demand real estate information in descending or descending order of the matching score. This allows the sales representative to prioritize the most suitable candidates. This makes it easier to prioritize proposals and negotiations, and has the effect of supporting efficient sales activity planning and quick decision-making.

[0070] 11 shows an example of a screen displaying a list of matching results in the form of cards, as a variation of this embodiment. Each card displays a summary of key attributes such as a property image, property name, seller's company name, contact information, location, price, area, and matching score, making it easy for salespeople to visually compare multiple candidates.

[0071] <Summary> As described above, the real estate matching device 20 according to the first aspect comprises a registration unit 2041 that registers supply real estate information provided by sellers and demand real estate information presented by buyers, a matching unit 2042 that matches the supply real estate information registered by the registration unit 2041 with the demand real estate information, and a display unit 2043 that displays real estate information, and the display unit 2043 is capable of realizing at least one of the first aspect in which the demand real estate information and the supply real estate information that matches with the demand real estate information are displayed in association with each other on the same screen, and the second aspect in which the supply real estate information and the demand real estate information that matches with the supply real estate information are displayed in association with each other on the same screen.

[0072] According to this embodiment, by centrally registering and managing information on real estate supply and real estate demand, and analyzing the correspondence between the two in the matching unit, sales representatives can easily extract highly suitable candidates. Furthermore, since the display unit 2043 can realize at least one of the first mode (display centered on demand information) and the second mode (display centered on supply information), the screen configuration can be flexibly switched depending on the proposal situation. As a result, sales representatives can intuitively grasp information from both the buyer's and seller's perspectives, and can efficiently confirm conditions, compare candidates, and prepare proposals on a single screen. This increases the possibility of closing a deal, while simultaneously realizing faster negotiation activities and improved proposal accuracy.

[0073] In the real estate matching device 20 according to the second aspect, in the first aspect, the display unit 2043 displays the demand real estate information for each buyer, and also displays the supply real estate information that matches the demand real estate information for each buyer.

[0074] According to this embodiment, the display unit 2043 displays real estate demand information for each buyer, and also presents real estate supply information that matches the demand information in association with it on the same screen, allowing sales representatives to simultaneously check each buyer's desired conditions and specific property candidates that correspond to them. This enables quick and accurate proposals based on customer requests, reducing the time required for proposal preparation and candidate comparison. Furthermore, since it is possible to explain at a glance which properties are available that match the conditions during sales negotiations with customers, it supports persuasive dialogue and contributes to improving the likelihood of closing a deal.

[0075] In the real estate matching device 20 according to the third aspect, in the second aspect, the information identifying the buyer is the buyer's person in charge information.

[0076] This allows information to be linked and managed by the person actually handling the transaction, rather than by abstract identification such as a company name or customer ID. As a result, sales representatives can refer to the matching results while instantly understanding the contact and attribute information of each person, enabling them to conduct business negotiations and proposal activities in a manner that is more in line with human relationships.

[0077] In the real estate matching device 20 relating to the fourth aspect, in the first aspect, the display unit 2043 displays the supply real estate information for each seller in the second aspect, and also displays the demand real estate information matched with the supply real estate information for each seller.

[0078] According to this aspect, the display unit 2043 displays supply real estate information "for each seller," and also associates and presents demand real estate information that matches the supply information on the same screen, allowing sales representatives to simultaneously check the properties owned by the seller and potential buyers who are likely to be interested in them. This allows for quick and accurate proposal activities from the seller's perspective, reducing the time required to compare and prioritize potential buyers. Furthermore, since it is possible to explain at a glance "which potential buyer is suitable for which property" during sales negotiations, it is possible to make a persuasive explanation to the seller, contributing to an increased likelihood of closing a deal.

[0079] In the real estate matching device 20 according to the fifth aspect, in the fourth aspect, the information identifying the seller is information about the person in charge of the seller.

[0080] This allows information to be linked and managed by the person actually handling the transaction, rather than by abstract identification such as a company name or customer ID. As a result, sales representatives can refer to the matching results while instantly understanding the contact and attribute information of each person, enabling them to conduct business negotiations and proposal activities in a manner that is more in line with human relationships.

[0081] In the real estate matching device 20 of the sixth aspect, in the first aspect, the matching unit 2042 generates a matching score indicating the degree of matching based on the correspondence between the supply real estate information and the demand real estate information, and the display unit 2043 displays the supply real estate information that matches with the demand real estate information, or the demand real estate information that matches with the supply real estate information, including the matching score.

[0082] According to this aspect, the matching unit 2042 analyzes the correspondence between supply real estate information and demand real estate information and generates a "matching score" that quantifies the degree of compatibility. The display unit 2043 then displays the supply information corresponding to the demand information, or the supply information corresponding to the demand information, with scores added, allowing sales representatives to intuitively grasp the relative merits of candidates. Because the degree of compatibility can be quantitatively compared, rather than simply listing matching conditions, the basis for proposals can be clearly demonstrated, making explanations to customers more persuasive. Furthermore, it becomes easier to prioritize and narrow down candidates based on scores, which contributes to improving the efficiency of proposal preparation and sales negotiation activities, and ultimately to increasing the likelihood of closing a deal.

[0083] In the real estate matching device 20 according to the seventh aspect, in the sixth aspect, the matching unit 2042 generates match reason information including the reason why the supply real estate information and the demand real estate information are determined to be a match in addition to the matching score, and the display unit 2043 displays the match reason information together with the real estate information.

[0084] According to this aspect, the matching unit 2042 does not simply present a score, but also generates the "reason" (match reason information) for determining that the supply real estate information and demand real estate information match, and the display unit 2043 displays this together with the real estate information. This allows salespeople to intuitively understand the basis for "why they match" and to persuasively explain the match to customers. For example, by presenting the satisfaction status of price range and area conditions and the match of characteristic words included in free-form description conditions, it becomes possible to make proposals with concrete evidence rather than simply comparing numerical compatibility. This increases customer satisfaction during sales negotiations, strengthens the reliability of proposals, and improves the likelihood of closing a deal.

[0085] In the real estate matching device 20 according to the eighth aspect, in the seventh aspect, the matching unit 2042 generates a proposal to be presented to the seller or the buyer based on the match reason information, and the display unit 2043 displays the proposal together with the seller's contact information or the buyer's contact information.

[0086] According to this aspect, sales representatives can not only refer to the matching results as scores and reasons, but also obtain natural language proposal texts that can be immediately used in sales negotiations. This saves sales representatives the trouble of creating proposal materials and conversation texts from scratch, allowing them to quickly make persuasive proposals. Furthermore, because the proposal texts are displayed in conjunction with sales representative information, proposals can be delivered to the appropriate parties immediately, contributing to the efficiency of sales negotiation activities, uniformity of proposal quality, and improvement of the closing rate.

[0087] In the real estate matching device 20 according to the ninth aspect, in the sixth aspect, the display unit 2043 displays only the supplied real estate information or the demand real estate information whose matching score is equal to or greater than a predetermined value.

[0088] This allows salespeople to focus on properties and customers with a high probability of closing a deal, without being distracted by irrelevant candidates. As a result, the amount of information on the screen is appropriately narrowed down, improving readability and operability, and simultaneously improving the efficiency and accuracy of proposal activities.

[0089] In the real estate matching device 20 according to the tenth aspect, in the sixth aspect, the display unit 2043 sorts and displays the supplied real estate information or the demand real estate information in descending or descending order of the matching score.

[0090] According to this embodiment, the salesperson can prioritize the candidates with the highest degree of suitability, which makes it easier to prioritize proposals and negotiations, and has the effect of supporting efficient planning of sales activities and quick decision-making.

[0091] In the real estate matching device 20 according to the eleventh aspect, in the first aspect, the matching unit 2042 performs the matching using a machine learning model.

[0092] This approach enables more sophisticated and flexible analysis than conventional simple condition matching or rule-based matching. Specifically, the machine learning model can interpret contextual information contained in free-form descriptions of desired conditions and property descriptions, as well as semantic similarities between feature words, making it possible to detect affinity between supply and demand that is difficult to capture using standard conditions.

[0093] The real estate matching method according to the 12th aspect includes a registration process for registering supply real estate information provided by a seller and demand real estate information presented by a buyer; a matching process for matching the supply real estate information registered by the registration process with the demand real estate information; and a display process for executing at least one of a first display process for displaying the demand real estate information and the supply real estate information that matches with the demand real estate information in association on the same screen; and a second display process for displaying the supply real estate information and the demand real estate information that matches with the supply real estate information in association on the same screen.

[0094] According to this aspect, it is possible to obtain the same effects as those of the real estate matching device according to the first aspect.

[0095] A program according to a thirteenth aspect causes a computer to execute the real estate matching method according to the twelfth aspect.

[0096] According to this aspect, it is possible to obtain the same effects as the real estate matching method according to the twelfth aspect.

[0097] The embodiments disclosed herein are illustrative in all respects and should not be considered limiting. The scope of the present invention is defined by the claims, not by the above meaning, and is intended to include all modifications within the meaning and scope of the claims. Furthermore, the present invention is not limited to the above-described embodiments, and various modifications are possible within the scope of the claims. Embodiments obtained by appropriately combining the technical means disclosed in different embodiments are also included in the technical scope of the present invention. [Explanation of symbols]

[0098] 20: Server (real estate matching device) 211: Personnel information database 212: Real estate supply information database 213: Real estate demand information database 2041: Registration Department 2042: Matching Department 2043: Display section

Claims

1. a registration unit for registering supply real estate information provided by sellers and demand real estate information presented by buyers; a matching unit that matches the supply real estate information registered by the registration unit with the demand real estate information; a display unit that displays real estate information; Equipped with The display unit A first aspect in which the demand real estate information and the supply real estate information that matches the demand real estate information are displayed in association with each other on the same screen; and At least one of the second aspect can be realized in which the supply real estate information and the demand real estate information that matches the supply real estate information are displayed in association with each other on the same screen, The display unit In the second aspect, the supply real estate information is displayed for each seller, and the demand real estate information that matches the supply real estate information is displayed for each seller. Real estate matching device.

2. The real estate matching device according to claim 1, The display unit In the first aspect, the demand real estate information is displayed for each buyer, and the supply real estate information that matches the demand real estate information is displayed for each buyer. Real estate matching device.

3. 3. The real estate matching device according to claim 2, The information identifying the buyer is the buyer's contact information. Real estate matching device.

4. The real estate matching device according to claim 1, The information identifying the seller is the seller's contact information. Real estate matching device.

5. The real estate matching device according to claim 1, The matching unit generating a matching score indicating the degree of matching based on the correspondence between the supply real estate information and the demand real estate information; The display unit The supply real estate information that matches with the demand real estate information or the demand real estate information that matches with the supply real estate information is displayed together with the matching score. Real estate matching device.

6. 6. The real estate matching device according to claim 5, The matching unit In addition to the matching score, generate match reason information including the reason why the supply real estate information and the demand real estate information are determined to be a match; The display unit displaying the match reason information together with the property information; Real estate matching device.

7. 7. The real estate matching device according to claim 6, the matching unit generates a proposal to be presented to the seller or the buyer based on the match reason information; The display unit Displaying the proposal together with the seller's contact information or the buyer's contact information; Real estate matching device.

8. 6. The real estate matching device according to claim 5, The display unit Only the supply real estate information or demand real estate information whose matching score is equal to or greater than a predetermined value is displayed. Real estate matching device.

9. 6. The real estate matching device according to claim 5, The display unit sorting and displaying the supply real estate information or the demand real estate information in descending order of the matching score; Real estate matching device.

10. The real estate matching device according to claim 1, The matching unit performing the matching using a machine learning model; Real estate matching device.

11. A computer-implemented real estate matching method, comprising: a registration step of registering supply real estate information provided by sellers and demand real estate information presented by buyers; a matching step of matching the supply real estate information registered in the registration step with the demand real estate information; a display process that executes at least one of a first display process that displays the demand real estate information and the supply real estate information that matches the demand real estate information in association with each other on the same screen, and a second display process that displays the supply real estate information and the demand real estate information that matches the supply real estate information in association with each other on the same screen; Including, The display step includes: In the second display step, the supplied real estate information is displayed for each seller, and the demand real estate information that matches the supplied real estate information is displayed for each seller. Real estate matching methods.

12. A program for causing a computer to execute the real estate matching method according to claim 11.

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