Real estate property sales, rental, and management support systems, information processing devices, information processing methods, and computer programs

Abstract

This system provides support for the buying, selling, leasing, and management of real estate properties, enabling efficient sales with minimal waste while simultaneously improving the matching of customer requirements and ensuring the store's sales performance, largely independent of the experience and skills of the sales representatives. [Solution] System 2 is connected to a store computer 32A operated by the sales staff of a real estate office, which runs computer programs related to the buying, selling, and management of rental properties handled by the real estate office on cloud servers 8 and 10. On the cloud servers, an AI model is trained with customer profiles and attributes. Under the guidance of the AI, a customer record is created from questionnaire information on the terminal, and based on this record, the AI ​​determines the profile and attributes of the customer. If an additional presentation is needed to show individualized responses to the customer, an interview with the customer is conducted based on the basic presentation and the additional presentation.

Description

Technical Field

[0001] The present invention relates to a sales, lease, and management support system for assisting in business related to the sale, lease, and management of real estate properties. In particular, it relates to a sales, lease, and management support system that comprehensively covers property listing, customer response (sales), CRM (Customer Relationship Management), ledger management for managing the sales performance of sales staff, education of sales staff, and talent matching in real estate stores (companies) that sell rental real estate properties.

Background Art

[0002] In recent years, in the real estate property transaction industry as well, there have been many cases that make full use of IT such as communication networks and computers. Among them, in the so-called sale of rental real estate properties such as rental apartments and rental mansions, that is, in the transaction of rental contracts with customers, the use of IT has become essential.

[0003] Even in such transactions of rental real estate properties, the principles of various processes (procedures, steps) up to the conclusion of a rental contract aimed at by real estate stores have basically not changed from those in the past. That is, the flow of an example such as advertising of rental properties, inquiries, store visits, property searches, property introductions, interior viewings of properties, contract conclusion, and after-follow-up after contract conclusion has not changed in principle even now when digitalization and IT advancement have progressed because it is a residence where people live and there are individual preferences.

[0004] Rental real estate stores utilize advertising media in order to increase sales by increasing the number of responses such as inquiries and store visits and improving the quality of those responses. On the other hand, the real estate industry also has a shortage of manpower, long working hours, and the in-house (store) sales education is not always sufficient, so it is said that there is room for bold improvement in the quality of sales that directly affects sales ability.

[0005] The quality of sales includes knowledge necessary for the rental industry (including legal knowledge and various other knowledge to handle a wide range of customers, such as knowledge of financial troubles), the ability to listen to customers to extract necessary information without causing them to feel uncomfortable, the ability to propose rental properties that balance the various requirements of customers with the efficiency demanded by the store, and the ability to close deals with customers. A lack of this quality in sales leads to low closing rates, inefficient sales, and consequently, stagnant store sales, which is considered one of the factors contributing to the stagnation in the rental real estate transaction industry.

[0006] Given this industry situation, various IT-related systems have been proposed in terms of patents. Of course, many of these patented systems have been implemented and are contributing to addressing labor shortages and improving efficiency, and we often see them on a daily basis.

[0007] Here are some of the various patent documents that propose the aforementioned IT implementation. Patent Document 1 discloses an example of a system that allows for easy and accurate searching and application for rental housing properties using the internet, and similarly, Patent Document 2 provides an example of a housing rental system in which tenants can access a database on the internet in real time to find rental housing properties that meet their desired conditions.

[0008] Patent Document 3 also provides an example of an information exchange system for real estate properties intended for rental or sale. This system stores property information in memory and allows the stored information to be transmitted via the internet to customers who intend to rent or purchase a property. Furthermore, when a customer inputs application condition information for a property they intend to rent or purchase, the computer compares the property information stored in memory with the input application condition information, and if a matching property exists, transmits that property information to the customer.

[0009] Patent Document 4 similarly provides examples of a method for creating a database of the outline of rental properties and information on each room, making it available on the internet, and displaying the URL address on the property, as well as a rental property vacancy information notification system.

[0010] Similarly, Patent Document 5 provides an example of a computer system for assisting in the decision to purchase or rent real estate, in particular for identifying real estate that meets search criteria, and for which one or more identified real estate properties are provided with services to assist in the decision to purchase or rent.

[0011] Furthermore, Patent Document 6 provides an example of a property search system equipped with an AI (artificial intelligence) computing device for efficient and accurate property searches regardless of the skills and experience of the person in charge. This system is configured to include a storage device that holds sales information, purchase information, and transaction information for real estate properties, and to perform the following processes: using pairs of sales and purchase information indicated by the transaction information as positive example learning data; identifying the range of difference between the desired conditions indicated by the purchase information in the transaction information and the conditions of the actual real estate property that has been sold; using pairs of purchase and sales information that include the desired conditions within the range of difference but were not sold as negative example learning data; and generating a real estate transaction probability model by performing machine learning based on the positive example learning data and the negative example learning data. In one embodiment of this system, a transaction probability model, which is a learning model for machine learning, is used. Therefore, even if the desired conditions specified by the customer can be interpreted in multiple ways using natural language, they are efficiently converted into appropriate search conditions. As a result, it becomes possible to search for real estate properties even more efficiently and accurately, regardless of the skills and experience of the person in charge.

[0012] Patent Document 7 provides an example of a property information distribution system for efficiently generating and effectively distributing promotional videos introducing real estate properties.

[0013] On the other hand, as a method of attracting customers, a customer information collection method using questionnaires, as shown in Patent Document 8, has been proposed. Specifically, it efficiently collects, analyzes, and manages personal information, motivations for participation, intentions, and trends of participants in various events such as real estate fairs, using questionnaires on a touch panel. In other words, the questionnaire results are stored in memory by a computer, edited and processed in a predetermined format, and analyzed so that the information can be effectively used for sales and other purposes.

[0014] In addition, as an example of a system that also performs credit management, Patent Document 9 provides an example of a system that uses a communication network such as the Internet to present rental properties and their conditions to customers on the customer's or real estate agent's terminal, and also provides management companies with credit scores that serve as an indicator of the customer's creditworthiness in a short amount of time.

[0015] Furthermore, Patent Document 10 provides an example of sales support for when a salesperson explains products to a customer in an insurance sales situation. According to this example, the relationship between information that can be obtained during a meeting with a customer and topics or questions that correspond to the sales objective is learned by machine learning. The information obtained during the meeting with the customer is applied to the machine-learned model to generate questions for the customer. These generated questions are presented to the customer during the meeting, and the topics discussed during the meeting are presented chronologically along with the elapsed time of the meeting, based on the information obtained during the meeting. This supports the salesperson and the customer in being satisfied with the explanation of insurance products, etc., that both parties desire. [Prior art documents] [Patent Documents]

[0016] [Patent Document 1] Japanese Patent Publication No. 2001-357118 [Patent Document 2] Japanese Patent Publication No. 2002-32458 [Patent Document 3] Japanese Patent Publication No. 2002-41885 [Patent Document 4] Japanese Patent Publication No. 2003-196367 [Patent Document 5] Japanese Patent Publication No. 2019-145078 [Patent Document 6] Patent No. 7092695 [Patent Document 7] Patent No. 7482300 [Patent Document 8] Japanese Patent Publication No. 2002-99697 [Patent Document 9] Japanese Patent Publication No. 2003-228613 [Patent Document 10] Patent No. 7458679 [Overview of the project] [Problems that the invention aims to solve]

[0017] However, none of the aforementioned Patent Documents 1 to 10 have yet demonstrated a system that is best suited to both customers and real estate agencies, particularly for rental properties such as rental apartments and rental condominiums. This system involves a face-to-face meeting between a customer and sales staff before a viewing (viewing) at a real estate agency (real estate company) to narrow down the list of candidate properties that meet the customer's desired conditions, maintaining high customer satisfaction throughout the narrowing process, and enabling the real estate agency to close the deal efficiently with minimal risk of non-completion.

[0018] In particular, even if the communication method between sales representatives and customers exemplified in Patent Document 10 is applied to rental real estate properties, the core principle is to generate questions using a trained machine learning model to ensure smooth negotiations with customers. In other words, even if good questions are generated, it is not guaranteed that the customer's response, profile, attributes, and personality will be known at the right time, and it is unlikely that the aforementioned conventional shortcomings will be resolved.

[0019] Therefore, in the conventional case, property search systems often utilize databases constructed on the network or digitize property application forms. For most real estate properties, not limited to rental properties, it is essential to visit the site, so customers cannot do without face-to-face consultations with sales representatives at the storefront of real estate agencies. For this reason, for real estate agencies, from a customer's property inquiry, the search for properties that meet the customer's desired conditions, known as "offering properties," narrowing down from the searched properties to candidate properties for on-site inspections, proceeding to on-site inspections and determining the final candidate properties, property applications, and further proceeding to the review, usually requires several hours of work per customer. Therefore, in the conventional case, in many real estate agencies, most of these operations (steps, procedures) are carried out manually, relying on the experience and intuition of sales representatives, even if IT is used to some extent. Of course, such a talent matching function linked with such systems and networks is not known either.

[0020] Therefore, while making progress up to closing, if the sales representative misses the customer's desired conditions or the true intention hidden therein, or cannot respond well to the customer's questions, there are often cases of failed closings and no deals. For example, the true intention of the customer, even if it appears to be a surface hope such as "a rental apartment like an old house," may actually hide a true hope of "low rent" and that it may be a bit small but near the station. Also, in addition to the usual questions about rental properties, the above-mentioned customer questions include rare questions such as "I hope for an apartment with a view of Mount Fuji, but is the adjacent land in that direction in an area where high-rise building construction is permitted?"

[0021] On the other hand, if the customer has a history of financial troubles or the like and fails the contract review, not only the customer himself / herself, but also for the store, it means a waste of a lot of time spent on that business and the loss of the contract fee, which is a major factor in reducing business efficiency. Of course, this is also disadvantageous in terms of maintaining the incentives of sales representatives.

[0022] Furthermore, even if the above-mentioned series of work procedures are carefully followed, the customer may not be fully convinced by the candidate property. In such cases, insufficient closing may result in the deal not being finalized, the property being put on hold, or the application being canceled at a later date. In such cases, as mentioned above, it leads to wasted time and poor sales performance.

[0023] Therefore, the first objective of the present invention is to provide a system that can support sales in an efficient manner with minimal waste, while satisfying both the need to improve matching with customer requirements and the need to secure sales performance for the real estate store, with little reliance on the experience and skills of the sales staff at the real estate store. This first objective further includes providing a system for conducting surveys with customers that include in-depth questioning.

[0024] Furthermore, a second objective of the present invention is to provide a system that supports sales in an efficient manner with minimal waste, while satisfying both the need to improve matching to customer preferences and the need to secure sales performance for the store, by providing various related information that customers may need when searching for real estate properties that meet their desired conditions, either independently of or in combination with the first objective described above.

[0025] Furthermore, a third objective of the present invention is to provide a system that can support sales in an efficient manner with minimal waste, either independently of or in combination with the first and second objectives described above, while improving the accuracy of customer follow-up and satisfying both the need to improve matching to customer preferences and the need to secure sales performance for stores.

[0026] Furthermore, a fourth objective of the present invention is to provide a system that constructs a total and unified system related to education and training, either independently of or in combination with the first to third objectives described above. Furthermore, a fifth objective of the present invention is to provide a talent matching function for job seekers and recruiters in the rental real estate industry, independently of or in combination with the first to fourth objectives described above, using more objective sales data of sales staff and ranking data of companies (such as real estate offices) obtained within this system. [Means for solving the problem]

[0027] To achieve the above objective, according to the first aspect of the present invention, A cloud server (8,10) is installed on a cloud (6) built on a communication network (4) and runs computer programs related to the sale and management of rental properties handled by real estate offices (32,34,36), Store computers (32A, 34A, 36A) operated by the sales staff of the real estate stores (32, 34, 36) are installed in the real estate stores (32, 34, 36) and are connected to the cloud servers (8, 10) via the communication network (4), The system includes a terminal (40) that can be operated by customers who wish to rent real estate properties and is connected to the cloud server (8, 10) via the communication network (38) within the store (32, 34, 36) and the communication network (5), The aforementioned cloud servers (8,10) A first processing means (8) that processes the information of the real estate property provided from the inter-company distribution site (16) for each of the real estate stores (32 (34, 36)), The system includes a first processing means (8) that receives information on the rental properties and stores it in a database (14), and a second processing means (10) that controls the exchange of information regarding the rental properties with each store computer (32A (34A, 36A)) and each real estate store (32 (34, 36)), The aforementioned terminal (40) is A questionnaire display means (S305) that displays a questionnaire on a screen containing personal information including the customer's name and specified items including the customer's desired conditions for rental properties, A means for guiding the customer to answer the aforementioned questionnaire (S307, S308), Based on the responses to the aforementioned questionnaire, a presentation material generation means (S205, S207) automatically generates presentation materials that the sales staff will use to present to the customer, which are specific to the customer's profile, attributes, and / or personality. A real estate property buying, selling, leasing, and management support system (2) is provided, characterized by having the following features. This embodiment can also be implemented as an information processing method having steps corresponding to the above means. Furthermore, according to the second aspect, in the system configuration that is the premise of the first aspect, The aforementioned cloud servers (8,10) A property information acquisition means (10,8) that instantly obtains information on rental properties that meet the desired conditions of a customer who has visited the aforementioned real estate office from the aforementioned inter-company distribution site (16), Property information rewriting means (10) that rewrites the content of the property information acquired by the property information acquisition means according to a predetermined algorithm so that the number of high-quality responses increases when the property information is advertised, A posting means (10) for posting the property information, which has been rewritten by the property information rewriting means, to an advertising site, A real estate property buying, selling, leasing, and management support system is provided, characterized by the following features. Furthermore, as a third aspect, in the configuration of the prerequisite system relating to the first aspect, The aforementioned terminal (40) is A questionnaire display means that displays a questionnaire in a predetermined format on the screen, which includes personal information such as the customer's name and items for each candidate in order of preference for rental properties, A means of prompting the customer to fill out the questionnaire on the screen, The system includes a questionnaire information transmission means that transmits the contents information of the questionnaire filled out by the customer to the second processing means (10) via the store computers (32A (34A, 36A)), The second processing means (10) is, A survey information receiving means that receives the content information of the survey transmitted from the survey information transmitting means, A property information acquisition means that searches the inter-company distribution site according to the content information of the questionnaire received by the questionnaire information receiving means and obtains information on each candidate rental property according to the desired ranking, A property information acquisition means provides a means for transmitting and displaying information about rental properties acquired by the property information acquisition means to each store computer (32A (34A, 36A)) and the terminal (40), A real estate property buying, selling, leasing, and management support system is provided, characterized by the following features. Furthermore, in a fourth aspect, in the configuration of the aforementioned prerequisite system, The aforementioned sales staff is provided with a training method that allows them to practice selling rental properties in a role-playing format with an interactive AI avatar that simulates the customer. Furthermore, in another configuration, the system includes cloud servers (8, 10) installed on a cloud (6) built on a communication network (4) that perform processing related to the sale and management of rental properties handled by real estate offices (32, 34, 36), The aforementioned cloud servers (8,10) A first processing means (8) that processes the information of the real estate property provided from the inter-company distribution site (16) for each of the real estate stores (32 (34, 36)), The system includes a first processing means (8) that receives information on the rental properties and stores it in a database (14), and a second processing means (10) that controls the exchange of information regarding the rental properties with each store computer (32A (34A, 36A)) and each real estate store (32 (34, 36)), The second processing means (10) is, An application download means that downloads an application to the terminal (40J) of a customer who wishes to rent a property, and displays it on the customer's terminal (40J), which contains personal information including the customer's name and several predetermined items including the customer's desired conditions for the rental property, and a questionnaire attached to it that includes a question that asks the customer to select one or more from several visual images in order to delve deeper into the content of at least one of the predetermined items. The system includes a presentation material generation means that automatically generates presentation materials specific to the customer's profile, attributes, and / or personality, based on the customer's responses to the aforementioned questionnaire, which the sales staff will use to present to the customer. The customer's terminal is, A survey response request means that requests the customer to answer the survey for each predetermined item, which has been downloaded using the aforementioned app download means and displayed on the device, A survey execution means that, based on the customer's response to the aforementioned survey, creates a survey result regarding the customer's preferences for the aforementioned rental property and sends it to the second processing means via the communication network, This is a real estate property buying, selling, leasing, and management support system (2A) characterized by having the following features.

[0028] Other configurations and their effects, including the ledger management system and sales training system according to the present invention, will become clear from the description of the embodiments described with the accompanying drawings. [Brief explanation of the drawing]

[0029] In the attached drawings, [Figure 1] A schematic diagram showing the configuration of a real estate property buying, selling, leasing, and management support system according to the first embodiment. [Figure 2] This is a block diagram that provides a more detailed view of the configuration shown in Figure 1. [Figure 3] This is a diagram illustrating various folder structures. [Figure 4]This flowchart illustrates the flow of tasks (procedures) performed from the moment a customer enters a real estate office (real estate company) until they leave. [Figure 5] This is an explanatory diagram illustrating various systems functionally provided through the execution of processing on cloud servers. [Figure 6] This is an explanatory diagram illustrating an example of the store computer screen when a sales staff member logs in at a store. [Figure 7] This diagram illustrates the function of personal IDs in this system. [Figure 8] This diagram illustrates an example of the screen displayed immediately after logging into a store computer. [Figure 9] This is an explanatory diagram illustrating the overview of the property registration system. [Figure 10] This is an explanatory diagram used as part of sales support, showing how to add equipment items and comments based on photos and floor plans. [Figure 11] This is an explanatory diagram illustrating the procedure flow related to an example of a sales support system function, using lines of action between elements. [Figure 12] A diagram illustrating the guide for using a sales AI avatar to answer questionnaires. [Figure 13] This diagram illustrates the overview of an AI avatar that detects keywords while guiding customers through answering surveys. [Figure 14] This is a diagram illustrating an example of a screen displayed on a store computer. [Figure 15] This flowchart shows the integration of store computers and sales AI avatars for creating guidance and keyword checks for survey responses, as well as sales presentation materials. [Figure 16] Following Figure 15, this flowchart shows the coordination between the store computer and the sales AI avatar for creating guidance and keyword checks for questionnaire responses, and for generating sales presentation materials. [Figure 17] This is a flowchart explaining the overview of property search. [Figure 18]This diagram illustrates an example of a screen displayed on a customer's tablet. [Figure 19] This diagram illustrates another example of a screen displayed on a customer's tablet. [Figure 20] This diagram illustrates another example of a screen displayed on a customer's tablet. [Figure 21] This diagram illustrates another example of a screen displayed on a customer's tablet. [Figure 22] This diagram illustrates another example of a screen displayed on a customer's tablet. [Figure 23] This is an explanatory diagram illustrating the flow of procedures related to customer follow-up using CRM, illustrating the lines of action between elements. [Figure 24] This diagram illustrates the general flow of talent matching performed by the talent matching system. [Figure 25] This is an explanatory diagram illustrating the procedure flow for an example of automatic generation of property AI avatar videos, as a second embodiment, using lines of action between elements. [Figure 26] This figure illustrates a demonstration of the property AI avatar video according to the second embodiment. [Figure 27] This is another diagram illustrating a demonstration of the property AI avatar video according to the second embodiment. [Figure 28] This is another diagram illustrating a demonstration of the property AI avatar video according to the second embodiment. [Figure 29] This figure illustrates a training example using AI avatar customer type-specific role-playing videos, which utilize the personal pages of sales staff according to the third embodiment. [Figure 30] A schematic diagram showing the configuration of a real estate property buying, selling, leasing, and management support system according to the fourth embodiment. [Figure 31] This diagram illustrates the overview of the in-depth survey displayed on the customer's device. [Figure 32] This diagram illustrates an example of a survey menu screen displayed on a customer's device. [Figure 33]This flowchart outlines the process when a customer answers a survey on their own device. [Figure 34] This diagram illustrates images used as answer choices in in-depth questionnaires. [Figure 35] This is another diagram illustrating images as answer choices embedded in an in-depth questionnaire. [Figure 36] This is a slow chart illustrating the general process for processing in-depth questionnaires. [Figure 37] This diagram illustrates the process from conducting a survey to giving a presentation and proposing desired rental properties. [Figure 38] This diagram illustrates the processing of the in-depth questionnaire according to the fourth embodiment. [Modes for carrying out the invention]

[0030] Various embodiments and modifications of the real estate property buying, selling, leasing, and management support system according to the present invention will be described with reference to the attached drawings.

[0031] <First Embodiment> System Overview First, an overview of the real estate property buying, selling, leasing, and management support system (which is also an information processing system) according to the present invention will be described. The configuration of this buying, selling, leasing, and management support system will also be applied to the second and subsequent embodiments and their variations.

[0032] This information processing system utilizes a cloud server built on the internet, an example of a communication network, to functionally provide various information processing services. In this embodiment, we describe a system that supports the buying, selling, leasing, and management of real estate properties, and in particular, a system that supports the buying, selling, leasing, and management of rental properties such as rental apartments, rental condominiums, and rental shops. Of course, these real estate properties are not limited to rental properties; they may also include condominiums for sale.

[0033] In this embodiment, the term "customer" will be used to refer to almost all customers, including those visiting a real estate office for the first time to inquire about properties.

[0034] Furthermore, sales, rental, and management support refers to supporting operations related to the buying, selling, rental, and management of real estate properties. In particular, when rental properties are the target of sale, in this embodiment, • Listing the property (registering it on a website advertising rental properties), • Handling customer visits (gathering customer requirements, searching for rental properties that meet those requirements, explaining potential properties, showing properties, closing deals, and finalizing contracts). • CRM (Customer Relationship Management) • Ledger management of sales for each store and sales staff, and • In-house training on the sale of rental properties • Talent matching function linked to ledger management and in-house training. This shall comprehensively include up to [the specified date].

[0035] This support for buying, selling, leasing, and managing properties is performed between a single, centralized platform powered by the computing capabilities of the aforementioned cloud server and the computers of real estate offices that handle the sale of rental properties. Since the computers in these real estate offices are operated by the sales staff of those offices, it can be said that the processing related to this support for buying, selling, leasing, and managing properties is carried out collaboratively by the computer system and people.

[0036] This collaborative processing may include, as an example, an AI execution process in which the computer system entrusts at least a portion of the information processing for customer service to AI (artificial intelligence) processing (including AI avatars). This AI processing incorporates one or more AI learning models that perform learning processing using a predetermined algorithm, which are trained on various types of information such as pre-labeled real estate transaction example information and environmental information, customer profiles (also called types), attributes and / or personality-labeled training data. These models can be driven in one of the following ways: independently, in cooperation with each other, or in cooperation with the CPU's software processing. Furthermore, the system is configured to use AI models that have been pre-trained with training data showing a sales response manual for customers, allowing the AI ​​models to learn from this data. Of course, in addition to machine learning with such supervised data, AI models that process using deep learning algorithms may also be used. Any of these AI models may be publicly available.

[0037] Regarding the difference between customer profiles and attributes, they are generally used interchangeably. However, in this embodiment, since attributes are conceptualized to include negative information such as financial problems, a profile (type) refers to information such as name, address, whether accompanied by children, family, student, or living alone for the first time, while attributes refer to information such as occupation, income, and financial history. Personality refers to information such as a person's kindness, quietness, argumentativeness, or quick temper.

[0038] Furthermore, this AI engine (see Figure 1) may generate interactive or explanatory AI avatars using the faces of sales staff or virtual characters, and convey necessary information to these AI avatars through video (or still images) and audio. In the interactive type, it has the function of generating speech synthesis AI that recognizes the customer's voice to hear questions and provides answers. Similarly, for AI avatars, as will be explained later, publicly available algorithms can be used to animate the avatar (character) along with its image and sound.

[0039] Although the AI ​​engine described later is shown in a single block diagram, it may be composed of multiple AI engines depending on the differences in their functions.

[0040] Next, referring to Figure 1, we will describe the general configuration of the rental property buying, selling, leasing, and management support system, which includes the aforementioned cloud server and the computer in the real estate office, as an information processing system.

[0041] As shown in Figure 1, this rental property sales, rental, and management support system 2 includes a cloud 6 built on a network of the Internet 4. This cloud 6 includes first and second cloud servers 8 and 10 for computation control, which have a computer configuration, an AI engine 12 that uses a trained model, for example, an AI (artificial intelligence) model, and a database 14 that can read and write various types of data. Furthermore, it is linked to inter-company distribution sites 16 (which have multiple inter-company distribution sites R1, R2, R3, R4…) where inter-company distribution site operators provide rental properties to the online distribution market. This inter-company distribution site 16 (R1, R2, R3, R4…) allows contracted rental property agencies to view these multiple inter-company distribution sites R1, R2, R3, R4… online and import the information into their own systems online. In other words, the property information on the inter-company distribution sites 16 (R1, R2, R3, R4…) is updated site by site. Therefore, rental real estate agencies that possess a viewing license can access constantly updated property information on their own exclusive inter-company distribution site. Of course, other real estate agencies (i.e., rival agencies) can also enter into contracts with this inter-company distribution site 16. Therefore, as long as other real estate agencies also possess a viewing license, they can access the same inter-company distribution sites R1, R2, R3, ... Rn and engage in property sales.

[0042] As shown in Figure 1, Cloud 6 is depicted as if it were dedicated to a single real estate office A (which may also be a company). Although not shown in the illustration, similar systems can be built for other real estate offices B and C. In other words, the provider of Cloud 6 sets up a separate cloud system for each contracted real estate office, as shown in Figure 1, and operates a system that integrates these cloud systems as a whole. For this reason, Cloud 6 may also be divided into multiple clouds, taking into account the number of contracted clients and the size of the customer base.

[0043] In this cloud 6, the first and second cloud servers 8 and 10 are both configured as general-purpose computer systems, as shown in Figure 2. Of these, the first cloud server 8 (functioning as the first processing means) can intervene between its external environment and the aforementioned inter-company distribution site 16 to perform control and communication. This first cloud server 8 is equipped with an interface (I / O) 8A that handles the interface function for communication with its external environment, and various elements, including the first processor 8C, RAM 8D, and ROM 8E, are connected to this interface 8A via an internal bus 8B. RAM 8D is a storage device that temporarily stores data being calculated. ROM 8E functions as a storage device that stores non-transient computer programs, which are pre-stored by the first processor 8C in its work area for execution, as described later. Of course, RAM 8D and ROM 8E can employ various known types of memory structures.

[0044] This first processor 8C is connected to the inter-company distribution site 16 and the second processor via interface 8A, enabling communication through an internal network such as a LAN cable.

[0045] Meanwhile, the second cloud server 10 (functioning as a second processing means) intervenes between the computer system of one real estate office (company), described later, the AI ​​engine 12, databases 14 and 18, and the first cloud server 8 to process information. As shown in Figure 2, in this embodiment, we assume that such one real estate office is real estate office A, so ultimately, this cloud 6 is built on the internet 4 as a cloud dedicated to office A. A similar cloud configuration is built from the perspective of other offices B and C.

[0046] Although not shown in the diagram, each store's dedicated cloud is built on the internet via the Internet 4 by the company providing the real estate property sales, rental, and management support system 2 according to this embodiment, particularly for rental properties, and is inspected, maintained, and managed by that company.

[0047] Returning to the second cloud server 10, this cloud server is equipped with an interface (I / O) 10A that handles its external communication interface function. Various elements, including a second processor 10C, RAM 10D, ROM 10E, display 10F, and input 10G, are connected to this interface 10A via an internal bus 10B. RAM 10D is a storage device that temporarily stores data being calculated. RAM 10D also temporarily stores various data read from databases 14 and 18, and stores the calculated data back into the database. For this reason, various data folders and storage areas, which will be described later, are set up in RAM 10D as schematically shown in Figure 3.

[0048] As an example of the configuration of this data folder and storage area, as shown in Figure 3, the following are set by specifying memory addresses: Keyword folder (including default and additional areas) 100, First candidate property folder 101, Second candidate property folder 102, Third candidate property folder 103, Property details folder 104, Hold folder 105, Viewing request folder 106, Delete folder 107, Final consideration folder 108, Registered property video folder 109, Photo folder 110, Confirmation items folder 111, and various other folders 112. Examples of how to use these folders will be described later. ROM10E functions as a memory device (storage means) that stores non-transient computer programs in advance, which are called and executed by the second processor 10C in its work area, as described later. Of course, as mentioned above, RAM10D and ROM10E can employ various known types of memory structures.

[0049] Furthermore, as briefly mentioned above, the AI ​​engine 12 is a computing unit that automatically or interactively starts up when needed to support the sales staff of a store in buying, selling, leasing, and managing rental properties. This AI engine 12 functionally has an AI processing unit 12A that uses a so-called trained AI model, which has undergone machine learning with teaching data. This AI processing unit 12A is pre-programmed and trained to support sales as a behind-the-scenes support for the sales staff of the store. In addition, this AI engine 12 is configured to generate an AI avatar 12B that has various dialogue or explanation functions, which will be described later.

[0050] However, this embodiment is designed based on the idea that the sales staff are the main players in sales. Supporting sales means that even staff with little sales experience, staff with a less assertive personality, or staff who tend to overlook the underlying intentions behind customer requests, will be able to collect all the necessary information using a pre-defined questionnaire (customer profile). Based on the collected information, or information gathered while filling out the questionnaire, AI-generated sales advice is given only to the sales staff to support their sales activities.

[0051] For the AI ​​processing unit 12A in the AI ​​engine 12, various supervised learning algorithms such as random forest and k-nearest neighbors can be used. On the other hand, deep learning algorithms may also be used. Furthermore, for generating the AI ​​avatar 12B, various algorithms such as HeyGen can be used, depending on the functions to be given to the AI ​​avatar 12B, as will be described later. Naturally, generating an AI avatar requires AI learning capabilities, so the AI ​​avatar will have machine learning capabilities using an AI model, or will be linked to such capabilities.

[0052] Furthermore, the AI ​​processing by this AI engine 12 is configured to train an AI model using machine learning with supervised data, and to provide an AI function that provides inference results (outputs) for labeled inputs, i.e., an AI answer, and an AI avatar function that generates an interactive AI avatar that has the ability to analyze language from speech, analyzes the content of the speaker's utterances, and answers questions using speech synthesis.

[0053] Furthermore, the database (DB) 14 is a storage device that stores property information downloaded from the inter-company distribution site 16 via the first processor 8C, as well as various data processed in response to requests from the stores, as described later. In this embodiment, not only data on property transactions themselves, but also sales figures for rental properties for each real estate store, and information and data that can be used for sales training of employees (sales staff, etc.) of real estate stores can be stored. For this reason, the database 14 also provides a data storage area (company page) dedicated to each store (company).

[0054] Furthermore, another database 18 is connected to network 4 via a communication link. This database 18 is a database dedicated to sales staff common to all stores participating in this cloud 6, not just real estate store A. This database 18 stores ledger data related to the individual performance of each sales staff member, such as their individual sales (commission) and training rankings, which will be described later. Thus, this database 18 provides a data storage area (personal page) dedicated to each individual sales staff member. In other words, one of its features is that the ledger data (personal page) of each sales staff member is separate from that of the store (company) (company page), and can only be accessed by each individual sales staff member (employee). This is so that even if a sales staff member changes jobs, their past performance can be checked at their new company. Details will be described later. Of course, it is also possible to build a similar storage system by physically combining databases 14 and 18 into one and changing the access permissions for each storage area.

[0055] In the cloud 6 according to this embodiment, the functions of the cloud server are divided and distributed between a first cloud server 8 that handles processing with the inter-company distribution site 16, and a second cloud server 10 that handles processing with the real estate stores described later. However, this also depends on the design of the cloud server, and although the first and second cloud servers 8 are physically configured as a single cloud server, the multiple functions related to buying, selling, leasing, and management support according to this embodiment may be processed in parallel, for example by executing them using time-sharing.

[0056] Furthermore, the computer systems 22A, 24A of one or more management companies 22, 24 that manage rental properties are connected to the Internet 4 in a communicative manner. These computer systems 22A, 24A of the management companies 22, 24 are linked in a communicative or contactable manner to one or more landlords A, B, C that provide rental properties.

[0057] Furthermore, the Internet 4 is connected to the computer systems 26A (~26C) of advertising media providers 26, which place online advertisements for rental properties at the request of real estate offices and other businesses. These computer systems 26A~26C provide the advertising sites.

[0058] Furthermore, this sales, rental, and management support system 2 is equipped with an in-store network 38 consisting of Wi-Fi, etc., which is built in each of the one or more real estate stores 32, 34, and 36, and the computers 32A (34A, 36A) in each store are connected to each other via this in-store network 38. The store computers 32A (34, 36A) typically consist of one or more computers depending on the number of sales staff, and each is assigned to a sales staff member.

[0059] Furthermore, this buying, selling, leasing, and management support system 2 is connected to the second processor 10C of the cloud server 6 via the in-store network 38 and the internet 4 installed within each real estate store 32 (34, 36), together with the store computer 32A (34A, 36A).

[0060] Furthermore, each of the real estate offices 32, 34, and 36 is equipped with a tablet 40 to be temporarily lent to customers upon their arrival. This tablet 40 is equipped with a microphone and camera and can communicate with the second processor 10C via voice and images.

[0061] Therefore, the information entered by the customer into the tablet 40 is transmitted to the second processor 10C in the cloud 6 via the in-store network 38. The information processed by the second processor 10C is then sent via the internet 4 and the in-store network 38 to the store computer 32A assigned to the sales staff and the tablet 40 operated by the customer, where it is displayed. In this case, the second processor 10C works in cooperation with the AI ​​engine 12 to generate information that is sent to both the store computer 32A and the tablet 40, as well as information that is sent only to the store computer 32A (including various sales support messages).

[0062] Even when responding to the same customer's requests for rental properties, one of the features of the present invention's sales, rental, and management support system 2 is that it generates separate information and instructions to show to sales staff or to prompt them to act, in order to ensure high-quality sales that take into account various factors from the store's perspective, such as differences in the store's sales efficiency and the experience level of sales staff, while also ensuring customer satisfaction as much as possible. Specific examples and details of this feature will become clear from the description below.

[0063] <Overview of features including registration of rental properties via cloud server, sales support for selling those properties, CRM, ledger management related to sales, and in-house training> 1. The customer's journey from arrival to departure: First, referring to the flow chart in Figure 4, we will describe an example of the procedure carried out between a customer (who can also be called a client after a transaction is concluded, and will be referred to as a client in this embodiment) and the sales staff of the real estate office 32 (34, 36) from the time the customer arrives at the office until they leave, in accordance with the embodiments of this disclosure.

[0064] S1: Customer visit. The customer is lent a dedicated tablet 40, which serves as a customer terminal (electronic terminal), as a tool they can use while in the store. Customers often visit the store after seeing an advertisement provided by the advertising media provider 26. Instead of this tablet 40, the customer may use a smartphone, PC, or other device they own. In that case, they will be asked to download the survey application according to this embodiment either in advance or while in the store.

[0065] S2: On tablet 40, the customer will watch a video demonstrating how to use the sales, rental, and management support system 2 (executed by computer system 6A on cloud server 6) and tablet 40 (customer's task: approximately 2 minutes).

[0066] S3: The customer begins filling out the questionnaire (i.e., medical record) on tablet 40 (customer's task). Simultaneously with this start of filling out, the computer system 10 on cloud server 6 begins AI (artificial intelligence) processing based on machine learning, and activates an AI avatar to guide the customer through answering the questionnaire. Of course, it is also possible to perform this processing using software on computer system 10 without using this AI processing.

[0067] This AI avatar is a display element that functions as a means of guiding users through answering questionnaires. In response to customer speech picked up via the microphone on the tablet 40, a virtual character created by AI (artificial intelligence) is displayed on the terminal screen. This AI avatar is responsible for guiding (requesting) users to complete each item of the questionnaire through images and sounds on the screen.

[0068] S4: As soon as this entry is started, the Sales, Rental, and Management Support System 2, through its AI processing, also begins to determine the customer's profile (type), attributes, and / or personality, as described later. In particular, when the customer fills out the occupation field, the Sales, Rental, and Management Support System 2 automatically determines whether or not they are likely to pass the screening of the rental property guarantee company, based on the content of their occupation. For this reason, the customer's profile and attributes are also set from the perspective of this determination, that is, whether or not they are likely to be able to close a rental property deal. The contents of each item filled out on the questionnaire will be recorded in the customer's medical record, item by item.

[0069] S5: The AI ​​avatar determines whether the customer has completed the questionnaire and, if there are any unfilled fields, it sends an alarm or message to the store computer. If necessary, it communicates this information "only" to the sales staff. Therefore, the sales staff can also verbally prompt the customer to fill in any unfilled fields while they are filling out the questionnaire or when they have finished (this is the sales staff's responsibility).

[0070] S6: The AI ​​avatar automatically generates standard presentation materials common to various customer profiles (types), attributes, and / or personalities, and / or additional presentation materials based on attributes (profiles) specific to that customer, and transmits them to the store computer 32A and / or tablet 40. Depending on the generated content, it is preferable to transmit it only to the store computer 32A, i.e., only to the sales staff.

[0071] Furthermore, if the AI ​​avatar determines that additional presentation materials are needed to explain things to the customer, the sales, rental, and management support system 2 will automatically generate those additional presentation materials.

[0072] S7: Subsequently, the sales staff conducts a face-to-face presentation and interview with the customer, following the standard presentation materials and / or additional presentation materials mentioned above (sales staff's work).

[0073] Furthermore, if the customer changes or adds items to the questionnaire during the presentation described above, the AI ​​avatar will automatically regenerate the standard presentation materials and / or additional presentation materials and resend them. The AI ​​avatar can repeat this regeneration and resending process until all items in the questionnaire are completed and the customer is satisfied.

[0074] S8: Once all items in the questionnaire have been completed and the presentation is finished, the AI ​​avatar extracts properties from the cloud of the 16 inter-company real estate distribution site operators according to the contents of the medical record and stores them in folders 101, 102, and 103 corresponding to the first, second, and third choices set in the medical record. At this time, necessary information for the customer (such as Google Maps and surrounding facilities) is also collected and stored together for each property. There is no particular limit to the number of candidate properties. The properties related to the first, second, and third choices correspond to the candidates according to the customer's preference order. Of course, some customers may specify only the first choice, but as will be explained later, the process of narrowing down the candidate properties to be viewed is important in terms of decision-making, and since candidate properties may actually already be sold by other companies, it is important to have customers narrow down the candidates according to multiple preference orders as much as possible.

[0075] S9: Use tablet 40 to explain each property (sales staff's task). At that time, explain not only the property but also the attached information (information can be viewed by clicking on each tab) (sales staff's task).

[0076] S10: On the screen of tablet 40, while explaining to the customer, sort each property into folders 105, 106, and 107 as "Delete," "Hold," or "Request Viewing" (task performed by customer and sales staff).

[0077] S11: On the screen of tablet 40, please review the contents of folder 105, "Hold Folder," and sort them into folders 107 and 106, "Delete" and "Request for Visit" respectively (task to be performed by the customer / sales staff).

[0078] S12: Site visit (for customers and sales staff). Take a tablet 40 with you during the site visit.

[0079] S13: During the visit, the customer / sales staff sorts the information on the tablet 40 screen from the "Visit Request Folder" 106 to either the "Final Consideration Folder" 108 or the "Delete Folder" 107 (this is the customer's / sales staff's task).

[0080] S14: On the screen of tablet 40, have the customer assign scores to each item for each property in the "Final Review" section (primarily the customer's task).

[0081] S15: Run the AI ​​(system) on the properties remaining in the "Final Consideration Folder" 108, and display the AI ​​judgment results.

[0082] S16: The sales staff closes the deal, explaining the AI's decision (candidate properties and reasons) (sales staff's task).

[0083] S17: Return to the store or on-site, fill out the application form on the screen of tablet 40 (customer's task).

[0084] S18: Explanation of the future schedule (Sales staff's work)

[0085] S19: Print out the property information and schedule you applied for and hand them over. (Sales staff's task)

[0086] S20: Please leave a review on Google, etc.

[0087] S21: Customer leaves the store.

[0088] <Overview of Cloud Server Functions> Next, before describing the detailed embodiments, Figure 5 shows some of the functions that the first and second cloud servers 8 and 10 of the aforementioned cloud server 6 perform collaboratively. The programs for performing these functions are pre-recorded in ROMs 8E and 10E, which are non-transient computer program recording media. Therefore, when the first and second processors 8C and 10C (CPUs) are started, they sequentially execute the various programs called from ROMs 8E and 10E in their respective work areas in step order. The first processor 8C mainly handles property registration processing together with the second processor 10C, while the second processor 10C mainly handles sales support, CRM, ledger management, and in-house training processing. In addition, since programs related to AI (artificial intelligence) processing for buying, selling, leasing, and management support are also pre-recorded in ROM 10E, the second processor 10C can instruct the AI ​​engine 12 to perform this AI processing, including training (learning) the AI ​​model and creating an AI avatar. Of course, it is also possible to integrate the two processors into a single processor and configure it to handle both functions.

[0089] This Cloud 6 is configured as a dedicated cloud for the store computer 32A (34A, 36A) of real estate store A:32 (34, 36). In other words, since real estate store A:32 has a service agreement with the company that operates the inter-company distribution site 16 and the company that provides the Cloud 6 service, Cloud 6 functions as a dedicated cloud for real estate store A:32 via the internet 4. This state is shown in Figure 2.

[0090] Therefore, as shown in Figure 5, Cloud 6 is configured to provide the functions of client management 60, property registration system 61, sales support system 62, CRM system 63, ledger management system 64, and sales training system 65 in cooperation with the store computer 32A of real estate store A:32 as it operates. These functions include functions that the first processor 8C of the first cloud server 8 performs spontaneously according to a predetermined program (some functions of the property registration system 61), and functions that the second processor 10C of the second cloud server 10 performs in interaction with the first processor 8C of the first cloud server 8, the AI ​​engine 12, and the store computer 32A of real estate store A:32 (mainly including some functions of the property registration system 61, sales support system 62, CRM system 63, ledger management system 64, in-house training system 65, and personnel matching system 66).

[0091] In this embodiment, the property registration system 61 is programmed to function as a dedicated property registration means for real estate store A:32. The sales support system 62 is programmed to function as a sales support means, and the CRM system 63 is programmed to function as a CRM means. Furthermore, the sales, rental, and management support system 2 according to this embodiment not only covers the entire sales process from listing a property (registration and advertising of rental properties) to closing a deal, but also manages the ledger where a deposit is received from the customer after a deal is closed, and the ledger is managed for each sales staff member and for the entire store. This so-called ledger management is also performed on the same platform as sales, rental, and management support.

[0092] In addition, training opportunities for sales staff are provided as an extension of the same platform, addressing their lack of knowledge, experience, and communication skills through a sales training system. As a result, even inexperienced sales staff can more easily achieve high closing rates through this series of sales support (including training), contributing to increased salaries for the sales staff themselves and to increased sales for the stores. This is expected to have a positive impact on the rental real estate industry as well. Furthermore, a talent matching system 66 for job seekers and recruiters is functionally built on this support system 2, and sales staff and stores (companies) with membership are provided for job seekers and recruiters. This will also be described later.

[0093] Of course, in accordance with the usage agreement with the system being used, Cloud 6 sets IDs and passwords for each client, i.e., each real estate store A, B, C:32,34,36, and also performs client management 60, assigning accounts to each sales staff member at each store.

[0094] Figure 6 shows the login screen when attempting to log in to store computer 32A. As shown in the figure, it is necessary to enter two IDs (identification numbers) and two passwords (PW) for each of the following: Company ID, Company PW, Sales ID, and Sales PW. The items that can be accessed in the database are determined by the access privileges. This is schematically shown in Figure 7.

[0095] <Regarding the IDs for each store (company)'s cloud> In Figure 7, the arrangement of IDs and passwords is illustrated below.

[0096] Specifically, each store (company) can be issued a predetermined number of IDs. Furthermore, one ID cannot be shared with other sales staff. Additionally, both the "company ID and password" and the "individual ID and password" must be entered when logging in. Moreover, it is not possible to log in simultaneously with a single ID.

[0097] When a sales staff member leaves a store (company), the system is updated to reflect their departure. After that, they will no longer be able to log in to the respective store systems and the respective store cloud 6 (see the "x" mark in Figure 7).

[0098] Furthermore, each individual ID can only be used to view and issue their personal achievements, certificates, etc.

[0099] <About Personal IDs> Each employee is issued only one personal ID for their lifetime. Regarding personal IDs, each store (company) requests their issuance from the system company (such as the system company providing Support System 2). Each store (company) does not issue or manage personal IDs. This prevents individual stores (companies) from viewing the personal pages of their sales staff.

[0100] When requesting the issuance of a personal ID, sales staff attach identification documents. Based on this, the personal registration specialist at the system company makes the final decision and issues the ID.

[0101] Furthermore, within the personal cloud (configured in database 18), which functions as a personal page (a storage area for personal data), individual sales staff performance information such as this month's commission progress, this month's sales progress, past commission performance, past sales performance, and sales ranking information is accumulated.

[0102] Furthermore, if you join a company that implements systems, you can establish communication with the company, and your sales performance and commission-based pay will be accumulated.

[0103] Furthermore, if a sales staff member leaves a store (company), that store will disconnect the connection. Even after disconnection, the individual sales staff member's past performance and other data will continue to be stored on their My Page. However, in order to accumulate sales performance data, the sales staff member must be linked (as an employee, contract employee, etc.) with the store (company) that has implemented the support system 2.

[0104] In partnered companies, administrators can monitor the progress of individual employees, including their past performance, presentation practice, role-playing practice with AI avatars, RPG games, and customer follow-up.

[0105] By logging in using this ID and password, you can access support system 2.

[0106] Figure 8 shows an example of the screen of the logged-in store computer 32A, displaying various property messages, a weekly schedule for all employees, and buttons for property management, customer management, etc.

[0107] Returning to Figure 5, we will now explain the overview of the functional system shown in that figure in order.

[0108] <Property Registration System 61> When this property registration system 61 is activated, it provides the following functions, some of which involve interactive communication with sales staff. Hereafter, rental properties will also be simply referred to as "properties." Figure 9 shows the connections between the related elements using lines of action that illustrate the interactions.

[0109] Processing PS1 (see Figure 9): The first and second cloud servers 8 and 10 work together to automatically detect new properties (detection conditions determined and set by each company) from the inter-company distribution sites R1 to R4 (hereinafter also simply referred to as property search sites) within Cloud 6 every day, and notify and prompt registration at a scheduled time (property listing).

[0110] This registration is conventionally referred to as "listing" in the industry. To automate this listing process, the inter-company distribution sites R1-R4 (for example, ATBB (operated by At Home Co., Ltd.), REINS IP (operated by the East Japan Real Estate Distribution Organization), ITAMDI BB (operated by Itanji Co., Ltd.), IeLove BB (operated by IeLove GROUP Co., Ltd.), IiSeikatsu Square (operated by IiSeikatsu Co., Ltd.), ReaPro (operated by Nippon Joho Create Co., Ltd.), DKPORTAL (operated by Daito Kentaku Partners Co., Ltd.), and D-roomNAVI (operated by Daiwa Living Co., Ltd.) maintain a constant login status on the cloud. This allows users to input property names, rents, etc., and perform a bulk search across the inter-company distribution sites. The listing URL can then be pasted into the search results.

[0111] Process PS2: Periodically (once a week), detect and notify of properties listed at real estate office A that have disappeared from each property search website.

[0112] Processing PS3: After the above property deletion, if a property (that is not listed on any property search sites) remains listed for 5 days, a warning will be issued.

[0113] Processing PS4: We will notify you as soon as any properties that were removed from listings within the last month, temporarily disappeared from each property search site, and then reappear.

[0114] Processing PS5: Regularly checks each property search site daily for the listed properties. Notifies the database 14 of any changes to the conditions of registered properties (rent, common area fees, security deposit, key money, etc.) and automatically updates them by clicking the "Change" button. The changes are completed by clicking the "Submit" button.

[0115] Process PS6: Instantly searches property search websites to find out which management company is handling a property listed on an advertising medium provided by the customer.

[0116] Processing PS7: Instantly rewrites the information of already registered properties and properties registered instantly into "high-quality registration information that increases the number of inquiries" (described later).

[0117] Processing PS8: Next, the registration content will be scored to assess how well it contributes to increasing the number of high-quality responses, allowing for an understanding of the quality of the registration content. Additionally, comments will be issued if there are any deficiencies in the registration content.

[0118] The above processes PS7 and PS8 perform a conversion of property content unique to this embodiment (corresponding to converter 61A; see Figure 5). In other words, the characteristic of the property registration conversion is that properties instantly registered or already registered from the property search site (inter-company distribution site R1~R4) within Cloud 8 are processed into content that increases the number of high-quality responses, and after permission is granted by the store, they are posted on the portal site of the advertising media provider 26 (advertisement placement).

[0119] In this embodiment, the conversion process is preferably executed by an AI processing unit 12A1 that has an AI learning model and has been trained with training data to increase the number of high-quality responses. The AI ​​processing unit 12A1 is configured to be trained in advance with training data to obtain such registration content, and to be refined to improve the inference accuracy of the AI ​​learning model by repeatedly learning based on actual daily property information. An example of property content that increases the number of high-quality responses is as follows. This conversion to registrations that increase the number of high-quality responses is based on know-how acquired by the inventors through practical experience. As an example, the conversion is performed by category. In other words, the types of categories include all or any one or more of the following categories: "rent + management fee", "initial costs (security deposit and key money)", "building structure", "number of registered transportation methods", "how many minutes walking from the station", "year built", "main direction of natural light", "floor", "number of photos", "photo shooting items", "photo comments", "panoramic shooting items", "type of internet connection", "free internet availability", "separate bath and toilet", "south-facing living room", "south-facing balcony", "corner room", "number of equipment and security item details", "availability of on-site parking", "distance to nearby parking if there is no on-site parking", "availability of on-site bicycle parking", "availability of motorcycle parking", "pet ownership consultation available", "type of gas", "distance to supermarkets, convenience stores, and drugstores", "number of photos of surrounding facilities", "standard level required by the property's 'specific advertising medium'", "how many companies are listed above the standard value in which the company itself is listed in the 'specific advertising medium' at that time", and "distance from the real estate company to the property, and the number of stations from the real estate company's nearest station to the property's nearest station, etc." For each of these categories, the AI ​​learning model 12A1 is trained to improve its inference accuracy toward the output (goal) of increasing the number of good quality responses.Regarding "rent + management fee" and "initial costs (security deposit and key money)," the AI ​​processing unit 12A1 collects data from nearby properties of similar size, including property details such as "square footage," "number of rooms (layout)," "distance from station," "year built," "reinforced concrete construction or not," "presence or absence of automatic lock," "floor level," and "direction of main lighting," and then evaluates the appropriate rent and initial costs based on this data.

[0120] This "conversion to registrations that increase the number of high-quality responses" combines the work of people who take photos of properties with automatically generated comments through AI learning, thereby adding and enriching property information to get a response to advertisements (posts) that have a higher chance of leading to better responses, i.e., successful rental property contracts. In this respect, in the past, it was common to simply post property information downloaded from property search sites of inter-company distribution sites as is.

[0121] As mentioned above, this method of adding and enriching property information is based on unique know-how conceived by the inventor.

[0122] This addition and enrichment of property information allows customers to gather information on various properties in one place, deepening their understanding of rental properties and increasing their trust and familiarity with the advertisements. As a result, when customers visit the office, they are not just presented with basic or formal information about the property, but can sense from the outset the decisive factors that would make them want to rent it (for example, it would be great if there were a park and sports facilities nearby). In other words, the probability of a customer deciding to visit and rent a property after seeing the advertisement increases dramatically. Consequently, it becomes easier for customers to decide whether or not to sign a rental agreement after just one visit, increasing the probability of closing a deal.

[0123] Examples of the additions and enhancements to the property information mentioned above are as follows:

[0124] • Users who take photos or register a property will complete a simple multiple-choice questionnaire. Based on the questionnaire results, property registration details, and actual photos, AI will automatically generate comments using machine learning. Photo comments, staff comments, and property features will be automatically entered for each photo.

[0125] • Search for nearby parking lots and their fees (in collaboration with AtPark (operated by AtHome Co., Ltd.) and ParkDirect (operated by Neely Co., Ltd.), etc.) and post that information for each property. Not only will the location and fees of the parking lots be shown, but also the distance to them.

[0126] • Enable automatic input of nearby facility search results (in collaboration with companies like Navitime).

[0127] • Enable automatic input of the three nearest stations (by contracting with Google Maps).

[0128] • Automatically add important equipment items from the registered information. • Adding comments about SUUMO (operated by Recruit Co., Ltd.), At Home (operated by At Home Co., Ltd.), and HOLME'S (operated by LIFULL Co., Ltd.) • The system will score registered content using features such as a photo item deficiency check function, a panoramic photo deficiency check function, and a check function based on Japan Fair Trade Commission regulations, allowing for an assessment of the quality of the registered content. Additionally, if there are deficiencies in the registered content, a comment will be issued pointing them out.

[0129] (Optional feature) Furthermore, this property registration system 61 also has optional features, • Automatic property avatar video generation function 61A (61A1, 61A2) • Function 61B to add equipment items and comments from photos and floor plans, and / or • AI property photo verification function 61C These optional functions 61A (61A1, 61A2), 61B, and 61C (see Figure 9) are part of the functionality of the property registration system 61 functionally built by the second cloud server 10. Only one or two of these three optional functions 61A (61A1, 61A2), 61B, and 61C may be implemented. These functions comprehensively supplement more detailed information on properties instantly registered from the aforementioned inter-company distribution sites R1 to R4 (property search sites) and properties already advertised, contributing to the enrichment of information aimed at increasing the "number of high-quality responses" mentioned above.

[0130] By pre-installing these optional functions 61A (61A1, 61A2), 61B, and 61C as part of the property registration system 61, customers or sales staff can view or refer to the "property details folder" 104 (see Figure 3) at any time and in an appropriate manner during their subsequent sales activities.

[0131] Furthermore, it is desirable to implement the property avatar video automatic generation function 61A in two separate ways: once when the property information has already been advertised, and once when it has not yet been advertised.

[0132] (Overview of how to create property avatar videos) First, while the methods for creating avatar videos are generally known, here is an example of one such method: First, film the source video that will serve as the avatar (character). For example, you can use the face of a sales staff member as this avatar. In this case, the source video will be, for example, two minutes or more of the video that will serve as the basis for the digital copy of the sales staff member. If you use multiple shots of the sales staff member, such as a front view, a slightly angled view, and a side view, you will film the source video for the digital copy for the same number of shots.

[0133] The resulting video footage is then loaded into an AI video production tool, such as HeyGen. This creates a digital copy of the "sales (staff) avatar" in just a few minutes. Examples of such AI tools include Rask AI, Synthesia, Elai, and Deepbrain. You can choose from a variety of options, such as Canva.

[0134] Next, the completed digital copy is used to input the text manuscript. This manuscript can be created using text generation AI (such as ChatGTP, Gemini, Notion AI, or Catchy), or pre-prepared text data can be digitized and input. Using text generation AI, new content can be obtained as text data based on various data formats such as text, images, and audio.

[0135] Furthermore, depending on the content of the property video, it is possible to re-upload the video using existing video editing software and make additional edits.

[0136] [First property avatar video automatic generation function 61A1] This first property avatar video automatic generation function 61A1 is a function that automatically generates avatar videos for properties that have already been registered in converter 61 (or an external converter) (i.e., properties that are advertised).

[0137] When this first property avatar video automatic generation function 61A1 is activated, a property avatar video for the registered property is automatically generated. The character in this property avatar video is preferably one that resembles the property registration staff or, as mentioned above, the sales staff. Of course, the character can be a sales photograph or even a non-human character.

[0138] In other words, the completion of property registration triggers the AI ​​avatar AB1 (see Figure 9) to read the "Property Details" information in the registration information within converter 61A, or, if the property is registered directly with advertising media 26A-26C without using the converter, the "Property Details" information within the advertising media registration information. Furthermore, this AI avatar AB1 automatically inputs the address from the property address into Google Maps. In addition, the nearest station from the property details is automatically entered into Google Maps and the route is displayed.

[0139] Furthermore, the AI ​​avatar AB1 allows users to register photos of the property, including "property comments," "living room or kitchen," and "security equipment," and adds comments. If no comments are available, a generation AI such as ChatGPT will generate and add comments. Additionally, the avatar AI AB1 generates information such as "Google Maps," "the property's location, the nearest station, and a route to the station," "a description of nearby shops," "a description of the area," and "a description of the system."

[0140] The property avatar videos generated in this way are automatically stored in the "Registered Property Video Folder" 109 (see Figure 3) set up in the store-specific database 14, with the property name as the filename, for example. Subsequently, if the property owner wishes to use the video, they can also register the video on each portal site.

[0141] As a variation of the above, it is also possible to generate videos using only voice and text generated by AI functions, without using avatars (characters). Furthermore, both "registered property video folders" 109 with and without avatars can be created, and the "registered property videos with avatars" and "registered property videos without avatars" can be stored separately. These can then be selectively retrieved and displayed from the "registered property video folders" 109 according to the customer's preferences.

[0142] (Video content and order of explanation) The following is an example of the content and order of explanation in the property video explained by this AI avatar: AB1. For property details, please describe the property name, room number, rent, common area fees, room type (e.g., 1LDK), square footage, address, location (display Google Maps simultaneously and mark the property's location), and walking distance from the nearest station, in that order. • For property comments, an exterior photo will be displayed, and an AI avatar will explain the staff comments included in the property registration. • For partial room introductions, photos will be registered with comments, or if no comments are provided, comments will be generated using AI such as ChatGPT to provide explanations. Regarding the security features, please introduce one of the following with a comment: automatic lock, security camera, shutter, double-glazed windows, double-pane windows, TV intercom, or dimple key. Regarding the surrounding environment, we will introduce nearby stores (supermarkets, convenience stores, drugstores, etc.) that are registered. • For directions from the nearest station, we will use Google Maps to explain the route between the property and the nearest station. Regarding the regional description, the description will be based on the registered regional description from the property address. If the region is not registered, a comment will be generated and described using a generation AI such as ChatGPT based on the property's registered address.

[0143] [Second property avatar video automatic generation function 61A2] The video generation related to this second property avatar video automatic generation function 61A2 (see Figure 9) is performed when a property is selected from the inter-company distribution site 16 during follow-up from the 5th day onwards (each company can choose when to start: e.g., from the 3rd day), and the property has not yet been advertised.

[0144] Therefore, this second property avatar video automatic generation function 61A2 is automatically activated when a property is selected from the inter-company distribution site 16:R1~R4 from the 5th day onward of the follow-up email, and the AI ​​avatar:AB2 reads the details of that property and automatically generates a video.

[0145] Furthermore, the AI ​​avatar AB2 automatically inputs the property address into Google Maps and Navitime simultaneously. It also automatically adds the nearest station from the property details to Google Maps and displays the route.

[0146] Furthermore, the AI ​​avatar AB2 creates avatar videos (the face and appearance of the sales staff in charge can be anthropomorphized) that show "property details," "security equipment," "nearby stores," "an explanation prompting customers to check the property location and route to the nearest station by displaying the property's location, nearest station, and route to the nearest station on Google Maps," "regional explanation," and "system explanation," and automatically stores them in a "distributed generated video folder" (not shown) set up in the store's dedicated database 14. The file name when saving should be the property name. An icon is included in follow-up emails that allows customers to access and view the stored video, so that customers can watch the video at home or elsewhere.

[0147] (Video content and order of explanation) The following is an example of the content and order of explanation in the property video explained by this AI avatar: AB2. For property details, please explain the property name, room number, rent, common area fees, room type (e.g., 1LDK), square footage, address, location (show a Google Map and mark the property's location), and walking distance from the nearest station. Regarding the security features, please introduce one of the following with a comment: automatic lock, security camera, shutter, double-glazed windows, double-pane windows, TV intercom, or dimple key. • For nearby stores, Navitime will introduce three stores to choose from (supermarkets, convenience stores, drugstores, etc.). • For directions from the nearest station, we will use Google Maps to explain the route between the property and the nearest station. Regarding the regional description, the description will be based on the property address. For regions that are not registered, it can be created using voice generation AI such as ChatGPT. This can be done by using AI-generated videos of regions that match search terms such as "〇〇 (address)" or "what kind of place it is".

[0148] [Function to add equipment items and comments from photos and floor plans: 61B] This "function 61B for adding equipment items and comments from photos and floor plans" is desirable for enriching the functionality of adding equipment items to property information from property photos. Note that the creation of these additional comments may be configured to target only either photos or floor plans.

[0149] This additional function 61B is provided by the AI ​​processing unit AB3 (see Figure 9), which is equipped with an AI model that performs image recognition and character recognition, for example, a deep learning AI model. The overview of the processing performed by this AI processing unit AB3 is shown by the lines of action in Figure 10.

[0150] The AI ​​processing unit AB3 uses image recognition to determine what equipment is present in each photograph and floor plan of the registered property. Furthermore, the AI ​​processing unit AB3 determines whether there are any missing entries for equipment that should be present in the equipment item registration section. If it determines that an entry is missing, it automatically enters that equipment item. In addition, the AI ​​processing unit AB3 determines whether the comment content it has been trained on is present in the comments read from the photographs and floor plans. If the comment is not present, it automatically generates and adds a comment.

[0151] Examples of these additional features include: • If, based on the kitchen photos, it is determined that the stovetop has 3 burners, and the property details list "2-burner stovetop," correct this to "3-burner stovetop."

[0152] • If you recognize the presence of security cameras from photos of the entrance, etc., and the property details' equipment section currently states "No security cameras," change this to "Security cameras present." • If a bathroom dryer is identified from the bathroom photos, and the property details' equipment section states "No bathroom dryer," change this to "Bathroom dryer included."

[0153] • If a toilet photo indicates the presence of a bidet toilet seat, and the equipment item states "No bidet toilet seat," change this to "Bidet toilet seat available."

[0154] - While photos of the living room, bedroom, Western-style room, and Japanese-style room indicate that the property actually receives plenty of sunlight, the property details may not include a comment stating "This is a living room with plenty of sunlight." When such missing comments are identified, please add the comment "This is a living room with plenty of sunlight."

[0155] If security cameras are identified from photos of the entrance, etc., including a comment such as "There are security cameras, so it's safe" will give customers a sense of security. However, if it is found that such a comment is not included in the property's equipment section, add the comment "There are security cameras, so it's safe" to the comments. Also, change the equipment section to "Security cameras available". • Additionally, even if the floor plan is recognized and it is confirmed that there is a walk-in closet, the property's amenities section may still state "No walk-in closet." In such cases, the comment should be corrected to "Walk-in closet included."

[0156] [AI property photo analysis function 61C] This "AI Property Photo Evaluation Function 61C" aims to improve the skills of staff responsible for taking photos of rental properties. By taking more accurate and appealing photos of the property's interior and exterior, it often reduces the workload for sales staff in closing a deal. Therefore, improving photography skills from this perspective is important.

[0157] This AI property photo recognition function 61C (see Figure 9) is provided by an AI processing unit AB4 (see Figure 9) which has an image recognition circuit and is equipped with an AI model that uses deep learning as its algorithm, for example. According to the AI ​​processing unit AB4, the AI ​​processing unit AB4, which has learned photography know-how, evaluates the photos registered in the converter 61A and each advertising medium 26 on a 10-point scale and provides advice on shooting methods to the photographer, determining whether the photos taken are in line with the knowledge that is likely to increase inquiries for each category (kitchen, washroom, toilet, bathroom, exterior, entrance, living room, balcony, room facilities, storage, etc.).

[0158] The AI ​​processing unit AB4 reads the "photos" and "categories" registered in the converter 61A and each advertising medium 26, and the AI, which has learned how to take photos according to each category, evaluates whether the photos conform to the content. This evaluation is done by deducting 1 point for each part that deviates from the learned content.

[0159] (Example of evaluation) Kitchen photo case: Rating: 8 • Shooting advice: Please shoot vertically, not horizontally. • Part of the ventilation fan is not visible in the photo. The two points mentioned above do not conform to the AI's learning content, resulting in a deduction of 2 points, for a total score of 10 points - 2 points = 8 points. Toilet photo rating: 9 The controller for the heated toilet seat is not visible in the photo. Please take a picture from above. The one point mentioned above does not conform to the AI's learning content, so it receives a minus 1 point, resulting in a score of 10 points - 1 point = 9 points.

[0160] [Property registration error and omission checking function] Furthermore, in the property registration process of this embodiment, although not shown in the diagram, a function can be provided to check for errors and omissions in property registration by comparing it with property registrations of other companies. In other words, it is possible to check whether there are any errors or omissions in the registration of rental properties at one's own office, and if such errors and / or omissions are found, they will be pointed out, making one's own property registration more reliable.

[0161] Specifically, the system checks the "equipment items" and "property details" of registered properties against the property details listed by other companies on each advertising medium using an AI processing unit (not shown) or a system. It detects and points out if two or more companies have the same information in the same section, and if there are any differences from the current registration details of the store. When this is pointed out, the system displays the URL of the property list page for that company with the different information, the name of the other company listing it, the number of companies listing it, the different sections, and the different information. By doing this, it is possible to prevent errors in property registration and omissions in equipment information registration for the store.

[0162] Check example) (1) Click the "Check Registration Details" tab in the registered property details. (2) AI and other technologies search for the property on the SUUMO rental website using keywords such as "address, year built, floor, square footage, and rent." (3) For each company whose output is generated, check the following in the property details: rent, common area fees, security deposit, key money, deposit deduction, amortization, building type, other initial costs (total amount), conditions, move-in, floor plan, main lighting, access, structure, contract period, room features, and facilities. (4) If there are any discrepancies between the items currently registered in the confirmation items and those of two or more other companies, please point them out.

[0163] (Example of display / example of issue) (1) Differences: Rent difference: 50,000 yen (registered amount) ⇒ 52,000 yen (registered amount with another company) (2) URL displayed in the SUUMO list: Different registered company names: XX Real Estate, △△ Real Estate, XX Real Estate

[0164] Of course, if you decide to change the registration in response to this criticism, you should first confirm the correct information with the management company before making any changes. This will have the effect of improving the reliability of the property registration as described above.

[0165] <Sales Support System 62> Next, the sales support system 62 will be explained with reference to Figure 11. As shown in Figure 11, this sales support system 62 operates in conjunction with a first cloud server 8, a second cloud server 10, an AI engine 12, a store computer 32A, and a customer tablet 40. It is functionally built using information such as basic and updated keyword lists and property information stored in the database 14. This level of coordination is schematically represented by the arrows (lines of action) connecting the elements shown in Figure 11.

[0166] The sales support system 62, functionally built around Cloud 6, has various features as described below. A brief overview of its main features is as follows: Feature A: The meticulousness of the questionnaire items used to create customer records (meticulousness in eliciting the customer's profile, attributes, and personality), Feature A: Guidance for answering questionnaires using AI (AI avatar: AB5 (see Figures 11 and 12)), Feature C: Exploration of customer psychology based on customer utterances (including mumbling) during survey responses, etc. Feature E: Generation of sales presentation materials tailored to each customer, taking into account their individual psychology. These elements are organically connected, creating customized sales presentation materials for sales support tailored to each individual customer.

[0167] (Regarding features A, B, and D) This sales support system 62 prepares presentation materials to increase the closing rate, based on the inventor's extensive knowledge of rental property sales accumulated over many years and skills that lead to high closing rates. In other words, it is a collaborative system of "human + AI" that accurately matches each customer's desired conditions and combines AI (which has learned how to increase closing rates), and sales staff use the presentation materials prepared by this system to explain to customers. Even during closing, sales staff explain properties based on the properties recommended by the AI.

[0168] Based on the customer's input into the questionnaire AK on the tablet 40, the system generates a personalized presentation material PR from the customer record KT (see Figure 12) that matches the customer's profile (type), attributes, and personality. This is also done by the sales AI avatar AB5 (see Figures 11 and 12), which is built in advance by the AI ​​engine 12 and has learned from training presentation data. Furthermore, it is updated in real time by immediately labeling and learning new data obtained from customer questions etc. obtained in the actual situation. As a result, the system can determine the customer's profile, attributes, and personality from the information written in the customer record CT, and the content of the presentation from the sales staff to the customer can be enhanced according to this determination.

[0169] Figure 13 shows an example of a functional block diagram for the sales AI avatar AB5. This sales AI avatar AB5 is responsible for guiding users through the questionnaire AK (described later) and for detecting keywords from customer speech, and these functions will be explained later. The "sales" in sales AI avatar AB5 means "for sales use," and it is characterized by resembling the face of the sales staff member in charge, including familiarity with customers.

[0170] Presentation materials for PR include standard presentation materials that can be used by many people, and additional presentation materials that require information derived from each customer's attributes. The standard presentation materials are stored in database 14 in a predetermined format and can be retrieved when needed. Furthermore, if the explanation in the standard presentation materials alone is insufficient, that is, if the AI ​​(AI engine 12) determines from the survey input that information reflecting the customer's profile (type), attributes, and personality is needed in the explanation, the AI ​​automatically generates additional presentation materials (information). These additional presentation materials are added to the standard presentation materials and used by sales staff for presentations and interviews with customers.

[0171] Furthermore, the additional presentation materials will automatically include information on the "problems" and "questions customers want to hear" from the survey. Information on the top 5 "important points" will also be automatically included.

[0172] The system is configured to create numerous animated presentations for each anticipated question and store them in database 14. Therefore, when a customer's question is entered, the sales AI avatar AB5 responds, extracts an animated presentation that matches the question, and plays it.

[0173] Using the presentation materials (basic presentation materials and additional presentation materials added by the sales AI avatar AB5), sales staff conduct further interviews with customers and fill in each item in the customer profile. One example of such items is as follows:

[0174] Example) Sales AI avatar AB5 makes decisions based on customer survey responses and information added to customer records by sales staff, and sends messages regarding additional presentation materials and suggested actions. Sales staff use basic presentation materials to conduct interviews and fill out customer records (CT) together with the customer.

[0175] You will be asked to answer questions such as "Have you ever been late on credit card payments?", "Have you ever been behind on mobile phone payments?", "Have you changed your mobile phone number in the past few years?", and "Have you ever been behind on rent payments?". For example, if you answer "yes" to having a history of late credit card payments, information on "Finding an apartment when you have financial troubles" will be added to the presentation materials. Also, if you have a history of financial problems, "Ask about the guarantee company" will be added to the "Management company confirmation items" section.

[0176] Additionally, if fiber optic internet is installed, a presentation document titled "About Fiber Optic Internet in Rental Properties" will be added as a key point in the customer's medical record (CT).

[0177] Furthermore, if "noise" is selected in the section on current residence problems in the customer's medical record (CT), a presentation document titled "How to resolve the noise problem" will be added.

[0178] Furthermore, if the "Questions for Sales Staff" section in the customer's medical record (CT) is checked, or if the "What is a safe, secure, and comfortable room?" section is selected, information regarding "What is a safe, secure, and comfortable room?" will be added to the presentation materials (PR).

[0179] Based on the information added by the salesperson to the customer's medical record (CT), the sales AI avatar AB5 will automatically add the necessary information to the presentation materials (PR) if it determines that additional information is needed. It will also then provide customer service advice messages.

[0180] • Ask customers questions other than those about their room. Answer questions you can answer directly, and if you cannot answer a question, write the question in "Question Answering Method," and if it is in the answering method list, the sales AI avatar AB5 will provide an example answer.

[0181] Questions that could not be answered are automatically reported to the system company providing Support System 2, and the sales AI avatar AB5 is trained on the answers. This allows all system users employing Support System 2 to utilize these questions and answer methods, thereby training and updating the learning model of the sales AI avatar AB5.

[0182] • If the sales AI avatar AB5 detects that there is something in the customer's medical record that needs to be confirmed with the management company, it places that information in the "Management Company Confirmation Items Folder" 111. This "Management Company Confirmation Items" section is always displayed on the sales staff's terminal screen.

[0183] When the sales AI avatar AB5 determines that additional information needs to be asked of the customer, it proposes a follow-up interview, and simultaneously, the information is automatically inserted into the customer's medical record CT, and a message is sent to inform the customer of this (see Figure 14).

[0184] [Summary of survey questions] Here, when a customer visits the store, they are asked to use the provided tablet 40 to answer questions in the questionnaire AK, which includes their desired conditions for rental properties. In this embodiment, the aforementioned sales avatar AB5 and questionnaire AK are displayed on the tablet 40, and the tablet is configured to assist the customer in answering questionnaire AK with video and audio. Therefore, as shown in the functional block diagram in Figure 13, the sales avatar AB5 includes an input interface 70 that performs various preprocessing operations, including speech analysis and character recognition, on customer voice and input text data; an AI questionnaire processing unit 71 and a keyword AI processing unit 72 connected in parallel to this input interface 70; and output images 73 and 74 that perform various processing operations, including display processing, speech synthesis, and character display, on the outputs of these processing units 71 and 72, respectively. The AI ​​questionnaire processing unit 71 and the keyword AI processing unit 72 each have AI learning models M1 and M2, respectively, and are configured to learn from training data for assisting with questionnaire responses and training data for detecting pre-set keywords in speech, and to provide the necessary output (inference results) in the form of animation, video, and audio. The avatar function for operating the AI ​​avatar is handled by the survey AI processing unit 71. Therefore, the keyword AI processing unit 72 consists of AI processing based on standard machine learning. The algorithms for the AI ​​learning models M1 and M2 can be the publicly known ones mentioned above. Therefore, when the sales avatar AB5 is activated by a command from a sales staff member to the store computer 32A, the store computer 32A, the questionnaire AI processing unit 71, and the keyword AI processing unit 72 operate in parallel and in coordination with each other, as shown in Figures 15 and 16. An example of this operation is preferably performed in conjunction with a keyword search, which will be described later. Here is an example of the items that customers fill out in response to the questions on the AK questionnaire.

[0185] <basic information> Name, current address, phone number, occupation, years of employment, reason for moving, moving date, accompanying person (yes / no) If accompanied by someone: a cohabitant, parent, sibling, other relative, friend, or other.

[0186] <Room search conditions, etc.> Enter your first, second, and third choices below. • Area, walking distance from station (within how many minutes), rent (¥X - ¥Y including management fees, etc.), floor plan (1R, 1K, 1DK, 1LDK, 2DK, 2LDK, 3DK, 3LDK, or more), floor (1st floor, 2nd floor or higher, top floor, no preference), pets (yes / no, if yes → small dog, medium-sized dog, large dog, cat, number of pets), parking (on-site / off-site, if off-site → within ¥X minutes from the property), motorcycle parking (necessary / unnecessary), bicycle parking (necessary / unnecessary), internet (necessary / unnecessary) → add if necessary → internet connection (fiber optic to room required, fiber optic to building is acceptable, fiber optic is not necessary, I would like to contract for fiber optic myself and have it installed directly in the room) Desired equipment (for second and third choices, gradually move away from your first choice)

[0187] <Key Points (Ranked from 1st to 5th)> • Nearby shops, safe surrounding environment, close to the station, desire for quiet living, newly built, white-themed rooms, security, room size, building structure, reliable management company, construction company, pet ownership, motorcycles, parking, storage capacity, outside of areas prone to landslides, fiber optic internet, and others.

[0188] <For those currently living in rental properties> • Notice to vacate 1 month ago, 2 months ago, end of month closing, end of next month, unknown, other • Problems with my current residence Noise, neighbor disputes, small size, security, surrounding environment, rent, management company, distance from station, slow internet, and other issues.

[0189] <Things I want to ask> What constitutes a safe, secure, and comfortable room? This includes factors such as average rent, safety, initial costs, timing of moving, building structure, the necessity of a management company, the difference between a condominium and an apartment, and more.

[0190] (Overview of the operation of the sales AI avatar) Here, we will outline the processing of the sales avatar AB5 mentioned earlier. First, when the store computer 32A issues a command to activate the sales AI avatar AB5, the questionnaire AI processing unit 71 and the keyword AI processing unit 72 are also activated (Figure 15, steps S201, S301, S401). In response, the survey AI processing unit 71 displays a survey explanation video on the terminal 40 screen via the second cloud server 10, including an overview of survey AK and important notes (such as confidentiality of personal information and volume control), for the customer to view (step S303).

[0191] Next, the survey AI processing unit 71, through the second cloud server 10, reads default data for the question list and keyword list for the survey AK from the database 14 (step 305). Once this is ready, the questionnaire AI processing unit 71 reads out each item of the questionnaire AK aloud and displays the text on the terminal 30, prompting the customer to answer while waiting (steps S307, S309). It is preferable that the customer wear headphones at this time. Furthermore, the questionnaire AI processing unit 71 further enters the questionnaire answers into the customer medical record KT for each item (step S311: see Figure 12). This entry process is repeated until at least all items have been completed for the customer (step S313).

[0192] This questionnaire AK includes personal information such as name, address, and contact information, as well as items asking for various desired conditions for each of the first, second, and third choice rental properties. Desired conditions include various factors such as the size and layout of the rental property, distance from the nearest station, and rent. Meanwhile, the keyword AI processing unit 72 constantly monitors whether pre-set keywords are included in the customer's utterances (including murmurs and intermittent questions from sales staff) from the moment it is activated (steps S403, S405). As a result, if no such utterances are found and no keywords are detected (NO in both steps S403 and S405), it decides whether to terminate keyword detection (step S407).

[0193] If the result is NO, meaning that the survey responses are still ongoing, the process returns to step S403 and repeats keyword detection. On the other hand, if a specific keyword is detected (YES in both steps S403 and S405), the keyword AI processing unit 72 converts (visualizes) the audio data for a time range extended by a predetermined time (for example, 2 seconds each) before and after that keyword into character data (step S409). The purpose of setting this predetermined time range is to improve the accuracy of the transcription by determining the context in which the keyword (for example, "high") was spoken.

[0194] The character data (including keywords) analyzed in this way is sent to the store computer 32A for display and storage (steps S409, S203).

[0195] Upon receiving this information, the store computer 32A determines whether the sales staff needs a separate presentation (or advice) beyond the basic presentation (step S205). If additional information is needed, the additional presentation content and advice are added to the basic presentation (step S207). This additional presentation content corresponds to adding unique information to the customer currently answering the survey, resulting in a presentation tailored to each individual customer.

[0196] This addition is repeated each time the keyword AI processing unit 72 receives character data containing specific keywords (step S209). As a result, if specific keywords that have been set in advance, such as "expensive" or "far away," are detected, the customer often has a negative impression of the property, so presentation content corresponding to this is added.

[0197] After this, the store computer 32A displays the generated presentation materials on its screen, indicating that the initial response is complete, and prompts the sales staff to conduct a face-to-face presentation and interview (steps S211, S213: see Figure 16). At this stage, customers often believe they have finished filling out the customer record, but the sales staff, i.e., the store, may have information that hinders closing the deal, or not all items on questionnaire AK may be filled out. Therefore, a presentation and interview by the sales staff will ultimately be necessary. However, at this stage, the store, i.e., the system, has information in the presentation materials on what kind of supplementary presentation and interview should be conducted (for example, information to change the impression that it is "expensive" or "far away," such as "There is another property that is a little further away..." or "There are frequent bus services during commuting hours..."). Therefore, the sales staff only need to carefully perform the face-to-face work according to the presentation materials, without missing any items.

[0198] Examples of keywords and additional presentation information will be provided later.

[0199] During a presentation or interview based on this presentation material, if a customer asks a question (step S215), a decision is made as to whether an animated presentation would be more effective in answering that question (step S217). If an animation is deemed more effective, it is displayed on the appropriate animation tablet 40 (steps S219, S315).

[0200] Furthermore, the store computer 32A determines whether all items in the customer record KT have been filled in, and through interviews with sales staff, it gathers information about any questionnaire items that the customer did not fill out, and then fills in the items in the customer record KT (S221, S223).

[0201] Meanwhile, after displaying the animated presentation on the tablet 40 (step S315), the survey AI processing unit 71 determines whether further supplementary presentation information is needed (step S317). If it is determined that further additions are needed, the survey AI processing unit 71 sends the additional supplementary presentation information to the store computer 32A (step S317).

[0202] In response, the store computer 32A adds further supplementary presentation messages to the presentation materials that had been generated up to that point (step S225). After this addition, the sales staff are asked to conduct further interviews and other activities based on the supplementary presentations (steps S319, S227).

[0203] After this, the store computer 32A returns to step S213 and repeats the series of steps until the end of the questionnaire (step S229). Similarly, the questionnaire AI processing unit 71 also returns to step S315 and repeats the series of steps until the end of the questionnaire (step S321). Meanwhile, the keyword AI processing unit 71, which had been repeatedly detecting keywords, also automatically terminates its processing once the automatic generation of presentation materials and the interviews conducted by sales staff using those presentation materials are completed (step S411).

[0204] [Survey and interviews] To summarize the above, it works as follows: A "customer profile" is automatically or manually created from "questionnaires" and "interviews." Based on this, the sales AI avatar AB5 determines "attributes (presence or absence of financial problems, defaults, income, job details, etc.)," ​​"customer type (student, foreigner, new employee, transferee, parent-child visit, independent woman, married, same-sex, low budget, moving date in the future, etc.)," ​​and "personality (meticulous, careless, etc.)." It then provides the sales staff with presentation materials that match the "customer profile (type)," "attributes," and "personality" (additions may be made along the way). The sales staff will send advice messages, and if the sales AI avatar AB5 determines that there is additional information that needs to be asked of the customer, they will propose a follow-up interview. At the same time, the information will be automatically inserted into the "customer profile," and this will be communicated via message. Things that need to be confirmed with the management company (e.g., international students allowed, cats allowed (pets allowed may not be allowed in some cases), internet connection, etc.) will be displayed via message.

[0205] Here, we will explain the detection and usage of the aforementioned keywords with more detailed examples, from the perspective of preventing sales representatives from missing important information.

[0206] [Customer Speech Recognition Sales Support (Measures to Prevent Customers from Missing Information)] Detecting pre-set keywords within a customer's speech provides clues to understanding their unspoken feelings and intentions. Conversely, failing to respond appropriately based on these clues can result in wasted time and effort for the store, potentially leading to a failed transaction or even a put on hold. Using the language analysis function of this AI engine 12 to detect and respond to these keywords is extremely effective for both customers and stores. Examples of such keywords and corresponding messages are shown below.

[0207] · The words spoken by customers (language data) are always input into the AI engine 12. Therefore, the AI engine 12 monitors while recognizing whether a predetermined "keyword" appears during the speech, using an AI model that has automated its language analysis. If that keyword appears, an alert and a message may be output from the AI model only to the store computer 32A. It is also possible to install an AI function that also makes a personality judgment based on the words spoken.

[0208] · It is possible to store the voice recording in the customer's medical record and review it.

[0209] · When the language analysis function of the AI engine 12 senses the "keyword", the content spoken two seconds before and after that is visualized and displayed simultaneously with the message.

[0210] · Only conduct research and recording on conversations around the microphone installation area. Install a noise cancellation function.

[0211] · Let the AI recognize the voices of each salesperson in advance. Do not target the "keywords" that appear from the recognized voices.

[0212] · What the AI senses from the voice ⇒ (example) The content inside the "" is the keyword · Won't the "intermediary fee" be cheaper? · Will it sound like "sound"? · Is it okay with "public security" and so on? · You have to "ask" your parents, right? · Isn't it "far"? · Is it "expensive"? · Wouldn't it be better if it was a little "wider"? · Isn't there a better room "more"? · Isn't there a "cheap" room? · Isn't there a "different" room? · "Look at others" and "go to others" · Shall we go to "Company XX", "Next XX Real Estate Company", "Real Estate Agent"? (The XX part refers to the names of real estate companies across the country) · Is there still "enough time"? · "Is there still any left?" · Is it still "early"? · Is it "okay"? · Should we "look at" more others? etc. · The AI is made to memorize the names of real estate companies across the country, and these real estate company names become the "keywords". Whether to use these real estate company names as "keywords" or not can be selected and added by the system-introducing company.

[0213] Example of specification method) Designation by prefecture, city, town, village, individual Addition method) Individual registration of company name (name, katakana, address) The added information is also added to the list of the system company.

[0214] The "keywords" determined by each introducing company are stored in the "keyword folder" 100 in the database 14. Each system-introducing company can also add or delete "keywords".

[0215] · If there is a request to add other than real estate company names from each system-introducing company, a request can be made from the keyword addition request. The request is stored in the "keyword addition folder" of the system company (refer to the keyword folder 100 in Figure 3).

[0216] The above-added "keywords" are registered in the "keyword addition folder" of the system company, and the system company decides whether to recognize them as "keywords". If recognized, they are added to the "keyword folder" 100 in the cloud of all system-introducing companies, and a message is sent to each introducing company (store) that the "keyword" has been added. Each introducing company decides whether to add or delete that "keyword".

[0217] · The AI engine 12 is constantly searching to see if the "keywords" in the "keyword folder" 100 in the dedicated client of each introducing company have been uttered.

[0218] [An example of advice from AI to sales staff] (1. When AI makes a judgment based on the customer's medical record) This client's desired rent does not match their income. Please advise them to lower their desired rent. I have added presentation materials to support this.

[0219] This client has an insufficient budget for initial costs. Ask them to either reschedule or choose from the limited number of properties available.

[0220] This client is particular about brokerage fees. Please provide a thorough explanation of the brokerage fees. I have added additional presentation materials.

[0221] This client is particular about sound. Please clearly explain the difference between an apartment and a condominium, and make your proposal only after they have decided on an apartment or a condominium. I have added presentation materials.

[0222] This customer is a foreign national. Please ask if they have any Japanese friends, family members (with permanent residency), foreign friends (who speak Japanese), or foreign friends with permanent residency who speak Japanese as emergency contacts in Japan. Presentation materials have been added.

[0223] This customer wants to keep pets. Please ask about the type, size, and number of pets. The initial cost presentation section includes "Pet deposit plus 1 month's rent." Please explain during the initial cost presentation that many properties require an additional 1 month's rent as a deposit if pets are allowed. Also, please confirm the conditions for keeping pets, including the types and weights allowed, and if there are any changes to the contract conditions, please enter the details into the property data. Running costs will vary depending on the pets.

[0224] • The student is visiting without an accompanying adult. Please ask if they have obtained permission from their parents to move. If they have permission, please try calling their parents on the spot. If they are unable to answer the phone due to work, please ask about the conditions they have heard from their parents, the rent, and when they can be contacted. Also, please ask if it is necessary for the parents to accompany the student during the viewing.

[0225] This customer says they need fiber optic internet access to their room. Please check the internet connection status with the management company and enter the status into the property data. The running costs will vary depending on the details.

[0226] (2. Alerts when the AI ​​detects a "keyword" within the customer's speech) They're currently talking about "brokerage fees." It's possible they're concerned about brokerage fees. We're currently working on the topic of "sound." They might be concerned about the sound reverberating. We're talking about "public safety" right now. Please confirm what aspects of public safety are you concerned about. They're saying "we need to ask" right now. The decision-maker might not be here. Please find out who the decision-maker is. They just said "far away." They might be concerned about the distance from the station. Please check if the walking time to the station is acceptable. • You're saying it's "expensive" right now. Please check what exactly is expensive. Right now, people are saying things like, "A little bigger," "Better," "Cheaper," and "I wonder if any more will become available." It's possible that the room you like isn't currently available. They may be considering other real estate companies, or perhaps looking at other real estate agencies. Please check if they have any other properties they are interested in or would like to view in the future. They might be concerned about the time right now. Please check if there's still enough time. They're saying "it's too early" right now. They might be concerned about when the rent starts due. etc. Based on the words spoken by the customer, the AI ​​uses learned personality assessment criteria to determine the customer's personality and then informs only the sales team of this assessment.

[0227] As described above, in this embodiment, the AI determines the customer type within the customer file and adds relevant materials and provides advice according to the type. The AI notifies, via a message, that the presentation materials are pages that clearly explain, such as "This is a page that is an important point for the customer", "This is a page that the customer wants to ask about", or "This is an important page related to the customer's attributes". Visualized messages from the AI and customer utterances are automatically stored in the customer file.

[0228] (Property Search) As described above, when the customer file is completed, the sales staff and the customer collaborate to search for rental real estate properties in line with the desired property information entered in the customer file. This search is executed interactively from the screen of the tablet 40 with the second cloud server 10. The outline flow of this search is as shown in FIG. 17, and the second processor 10C of the second cloud server 10 collaborates with related devices such as the first cloud server 8 and the database 14 to execute this search flow.

[0229] Specifically, first, for each of the first candidate, second candidate, and third candidate for room search in the questionnaire input by the customer, or the conditions changed by the sales from the original conditions obtained during the hearing, the first cloud server 8 automatically puts the properties detected from the property search site 16 into the "Candidate-specific Property Folders" 101, 102, 103 (FIG. 17, step S501). At this time, the property materials (drawings) are automatically renamed with the company's name, and the renamed properties are moved to the above folders.

[0230] In this property search, basically, an automatic search is performed according to the questionnaire. However, for the following conditions, when there is a desire to keep a pet (regardless of the type), search with "Pet: Consultation", when there is a desire for an off-site parking lot, search by removing the "Parking Lot" item, and when there is a desire for a bicycle parking area, search by removing the "Bicycle Parking Area" item.

[0231] If the same property is listed multiple times on different inter-company listing sites, extract only one listing and place it in the respective candidate folders 101, 102, and 103. Properties extracted from inter-company listing sites not included in Cloud 6 can also be added as candidates in PDF format. In this case, the address and the URL of the search site should be entered. The customer's tablet should be configured to allow viewing of the first, second, and third candidates separately (see Figure 18).

[0232] In addition to the property details (floor plans) for the above candidate folders 101, 102, and 103, each property will also have a Google Maps link (address automatically entered), a Navitime link (address automatically entered), a hazard map (hazard map portal site address automatically entered, with "flood," "landslide," "storm surge," and "tsunami" buttons automatically turned ON), location, surrounding environment (Google Maps and Street View), school district confirmation site (GACCOM), and "area comments" (each system implementing company creates an introductory text for each area (step S503)).

[0233] Areas can be set by nearest station, city / town, etc. The content includes regional characteristics, shopping facility information, public facilities such as parks, and safety information, allowing sales staff to explain each one individually (see Figure 17). If added from another inter-company distribution site not included in Cloud 6, the sales staff will upload the drawing (the system will change the band using the automatic band change function), enter the address, and check the candidate number. The result will be placed in the designated candidate folder 101 (102, 103), and links with the address automatically entered will be posted to Google Maps, Navitime, etc. (see Figure 22).

[0234] Links to the source from which each property was extracted are also included. If the property is listed on multiple search sites, all URLs are included, along with the names of the search sites (viewable only by sales staff: Step S505).

[0235] Based on the customer's profile information, the AI ​​determines that the first, second, and third choice properties (folders 101, 102, and 103) are likely to be rejected and specifies the reason (Step S507). Examples of reasons include, "The rent does not match the income," and "The property is managed by a financial guarantee company." However, the sales representative must confirm with the property management company. If there are no issues, the sales representative can remove this indication.

[0236] For each property, the system adds tabs for information the customer needs, such as "Map of the actual location," "Street View," "Nearby facilities," "Nearby parking," "Nearby hazard map," "School district confirmation," "Estimated initial costs / estimated running costs," and "Regional description," and links to the site (the property address has already been entered by the AI), or processes the user to view the estimated cost or navigate to the regional description page (Step S509).

[0237] Of these, the "Regional Description" can be viewed by navigating to a page containing the region and its description, as set in the "Regional Description via Sales Avatar Video During Tour" section described later.

[0238] Additionally, a tab will be added that generates a link URL for each property, allowing those who are not directly involved with the customer (for example, the customer's parents) to view the property in the same way.

[0239] This is useful, for example, when you want to show detailed information about a particular apartment building to a parent who lives far away. Clicking the "Link URL" tab within the property details generates a URL that takes you to a page where you can view all the information just like the customer. A copy of this URL is created simultaneously with the customer's tab operation, and this URL can be sent via LINE or email to the person in the distance, allowing them to view it simultaneously or separately.

[0240] The "exterior photos," "room photos," and "floor plans" from each property listing on the inter-company distribution site are extracted and stored in the "photo folder" 110 (step S511). The "photo folder" 110 is then made available for viewing by customers (see Figure 19, etc.).

[0241] Next, the estimated initial costs are automatically calculated and displayed. The estimated initial costs are calculated from property information on the inter-company distribution site 16 on Cloud 6. If calculation is not possible, the estimated initial costs are calculated from the security deposit and key money. Furthermore, the estimated running costs are automatically calculated and displayed (step S513).

[0242] For example, based on property information from the inter-company distribution site 16 on Cloud 6, an estimated cost is calculated using "rent," "common area maintenance fees," "guarantee company guarantee fee (monthly)," and "direct debit fees," along with "electricity bill," "gas bill," and "whether or not internet fiber optic line is free."

[0243] Electricity costs differ between apartments and condominiums, so this is taken into account when calculating per person and then an estimate is calculated based on the number of occupants. Gas costs differ between propane and city gas. This is also taken into account when calculating per person and then an estimate is calculated based on the number of occupants. For "free fiber optic internet," if it can be determined from the property information on the inter-company distribution site that fiber optic internet is free, the internet fee will be set to 0 yen. If only "free internet" is listed (without the words "fiber optic"), this will be added to the "management company confirmation items" section and inquired about. Note that these "management company confirmation items" refer to the content of the "management company confirmation items" section that is always displayed on the sales terminal screen as mentioned above. If the answer is "free fiber optic internet," the salesperson can add "free internet" to the property details. Adding this will make the internet fee 0 yen. If it is not fiber optic internet, such as "J:COM," the customer will be asked whether they "will use" it or not, and if they answer "will use," the "average monthly fiber optic internet usage fee" will not be added. If they answer "will not use," it will be added.

[0244] However, if you have checked "1st to 5th most important points" or "slow internet speed due to current housing issues," the fee will be 0 yen or increased without further question.

[0245] The customer or salesperson can select folders 101, 102, and 103 for "Delete," "Hold," and "Viewing Request," respectively, and the items are automatically sorted into the "Hold," "Viewing Request," and "Delete" folders (step S515). Items are moved from the candidate folders. The customer or salesperson can move items from folder 106 for "Viewing Request" and folder 105 for "Hold" to folder 108 (see Figures 19, 21, and 22). This means we will now visit the properties that remain in the final consideration folder, 108.

[0246] In this embodiment, the following functions can be added as mandatory or optional functions according to the sales, rental, and management system 2.

[0247] (Regional explanation using a sales avatar video during the tour: Figure 17, Step X1) While a customer is touring, if they click on "I want to know about this area I'm currently in" (not shown) on their tablet, an AI-generated sales avatar area introduction video will explain the pre-prepared "introduction text" for each area (which can be set by the system implementing company or created by a generation AI such as ChatGPT). Area settings can be freely configured, such as by a radius of XX km from a station or by city / town. The GPS (Global Positioning System) function confirms the customer's current location at the time they click on the tablet, and the system selects and plays an avatar area introduction video appropriate for that area. This content includes local characteristics, shopping facility information, public facilities such as parks, and safety information, and is collected either by sales staff visiting the area themselves or by using sales avatars via unmanned (autonomous) vehicles.

[0248] Let's explain a specific example: a sales avatar video using AI generation. The procedure is roughly as follows. 1. When a customer clicks "I want to know more about the area I'm currently in," their address is determined via GPS. 2. Search for "What kind of place is Hashimoto 2-chome, Midori-ku, Sagamihara City?" and "I want to know about the safety and security of Hashimoto 2-chome, Midori-ku, Sagamihara City." Note that the company implementing the service can pre-configure whether or not to include safety and security comments. 3. As mentioned above, the AI ​​engine 12 automatically generates an AI avatar video that reflects the search results. 4. The generated AI avatar explains it using video and text on the screen of tablet 40.

[0249] (Measurement function using customer tablet, storage function for photos and videos: Figure 17, Step X2) The customer-exclusive tablet 40 will be equipped with a measurement function, photo capabilities, and photo and video recording and storage functions. If a customer wishes to take measurements while viewing an actual room, clicking "Measure" (not shown) in each property details folder 104 will activate the measurement function. Once measurements are taken, the "Measurement Results" and "Photos of Measurement Locations" will be stored in each property details folder 104.

[0250] Additionally, if you wish to take photos or videos, click "Take Photos" or "Take Videos" in each property details folder (101, 102, 103) to start the process. Once finished, the captured images and videos will be stored in the respective property details folder.

[0251] • Furniture arrangement, image photography, and storage function Using a tablet, you can insert furniture images (adjusted to the actual room size and furniture dimensions) into photos of the actual living space, take pictures, and store them in the property details. You can also view them using VR.

[0252] One example is as follows: Select a bed (single, semi-double, double, queen, king), a TV stand (small, medium, large), a sofa (small, medium, large, L-shaped), a dining table and chair set (small, medium, large), or a computer table and chair set (small, medium, large). Point the tablet towards the room and touch the desired furniture image in the desired location to insert the furniture image. You can also freely move the inserted furniture. You can check whether the furniture the customer wants will actually fit. Once the arrangement is decided, click the save photo button and it will be automatically saved in the property details folder 104.

[0253] You can check all of the above once you return to the real estate office. You can also view the property details after returning home. Additionally, if you send the property details URL and password to others via LINE, email, or social media, they can also view the property details folder 104.

[0254] For example, this is suitable for situations where you want to show detailed information about a particular apartment building to a parent who lives far away. Clicking the "Link URL" tab in the property details generates a URL that takes you to a page where you can view all the information in the same way, and you copy that URL at the same time. Then, you send that URL via LINE or email for them to view.

[0255] (Enhanced AI-based decision-making) Let's return to Figure 17 for explanation. In the support system 2 according to this embodiment, the AI's judgment is used as a reference to determine whether the candidate properties that remain in the final consideration are properties that meet the customer's requirements. Therefore, in the closing process according to this embodiment, the user is asked to input a score (1 to 5 points) for each item of the candidate property that remains in the "final consideration" category, and the AI ​​makes the final decision (Figure 17, step S517).

[0256] Furthermore, the sales representative avatar will provide an explanation of the reason for the "AI judgment" (Step S519). Specifically, • Each item → Rent (total rent), floor plan, surrounding environment, room, facilities, security, distance from station, area, property structure, management company, initial costs • Sales representatives will also be asked to choose from three options regarding the management company's reputation and the safety of the area surrounding the property: "Good," "Bad," and "Average." The AI ​​will make a decision based on the above.

[0257] The AI ​​has been pre-trained with closing techniques. It makes decisions based on the customer's "scores per item," the "items listed above" entered by the sales representative, "reason for moving," and "attributes (screening)." The above determination is made instantly by the automatic generation of sales avatar videos.

[0258] (Subsequent processing) • Schedule and printouts from application to key handover. • Encourage users to register their Google reviews. • Customer records are stored in each company's Cloud 6 customer ledger one month after the contract is finalized, but individual sales representatives will no longer be able to access them. Sales representatives cannot store these customer records on their personal computers or other devices.

[0259] [Effects of Sales Support System 62] In this system, customer surveys are conducted via tablet, and presentation materials for rental properties suitable for each customer are automatically generated from inter-company listing sites and properties independently obtained by the store. The presentation materials address customer concerns and aim to build greater trust. Sales staff use these materials as needed to explain to customers that the properties selected by AI are highly likely to be suitable for their current situation. The property candidates are automatically extracted by AI based on the customer's desired conditions, or derived from those conditions, and are more likely to be approved by the management company's guarantee and the customer. Of course, there is still room for sales staff to add or replace other property candidates based on their experience and intuition with the AI's automatic extraction results. This is one area where sales staff can demonstrate their skills, and in this embodiment, it is important to retain human processing, as the trust customers place in the sales staff is ultimately a crucial factor in closing a deal. This is also the reason why we are building a "man-machine" type sales support system that utilizes AI that closely resembles human thought, while still allowing humans and machines to collaborate in sales.

[0260] In the process leading up to the property proposal, the interaction between the AI ​​and the sales staff, and the presentation materials generated by the AI, are comprehensive and minimally omissions-free, and fully reflect the customer's profile, attributes, and personality. As a result, customers can obtain property information that is more easily accepted than before.

[0261] Conversely, for rental property offices, the AI ​​can check for omissions in questionnaires while simultaneously providing sales staff with information about potential issues with the customer's attributes, such as unstable income making it difficult to pass the guarantee company's screening, along with countermeasures (such as guiding them towards properties with lower rent), from the perspective of ultimately achieving the goal of closing a deal. This kind of information is often difficult for less experienced sales staff to convey to customers, but the AI's assessment can be communicated either during or at the end of the questionnaire, either on the tablet screen or through the sales staff's words, making it easier to gain the customer's understanding and acceptance.

[0262] It's commonplace for customers to say no or say they need more time to think about it, even when salespeople try to close a deal without the customer being convinced. When a closing attempt ends in this way, the time spent by the sales staff is wasted, although their experience may increase, and consequently, the store's sales don't grow. Therefore, one of the traditional problems has been that stores desperately want to avoid such a final outcome.

[0263] According to the sales support system 6A2 of this embodiment, while taking into account the property preferences stated in the customer's questionnaire, the system uses AI to determine the customer's profile, attributes, and / or personality related to property rental, and, as described above, determines a situation that satisfies or compromises both the customer's preferences and the store's preferences, automatically extracts properties based on the customer's preferences, and proposes and explains candidate properties. For this reason, at closing, the system sequentially proposes AI-extracted candidate properties that are realistically possible while taking into account the customer's preferences, and explains the reasons for the AI-generated proposals. During this explanation, the store computer 32A and the tablet 40 may be linked so that the sales staff operates the store computer 32A while the customer views it on the tablet 40 screen.

[0264] Therefore, conventionally, it has been possible to improve the knowledge related to property sales, the listening ability to draw out the true intentions and inner thoughts of customers, the proposal ability according to customer wishes and intentions, and the closing ability to aim for a contract while sequentially explaining the shortlisted properties and asserting that the property is the best.

[0265] In addition, as the first step before sales when a customer visits the store, a questionnaire using the tablet 40 is conducted, and the customer is guided item by item by the sales AI avatar displayed on the screen of the tablet 40. As a result, the customer is urged to answer each question from the sales AI avatar, and the answers are also displayed in characters or numbers. The questionnaire answers are made by checking each item or entering characters and numbers. The sales AI avatar constantly checks whether it is speaking "keywords" during the questionnaire, and if a "keyword" is detected, it visualizes the word including the predetermined time (2 seconds before and after) and a message is added to the message column as needed. In addition, more appropriate advice messages and additional presentation materials are generated if necessary according to the content of the "keyword". As described above, this advice message is provided after judging whether it should be provided to either the sales staff or the customer, or commonly provided for each content. By entrusting the sales AI avatar with the role of guiding the questionnaire, there is a high possibility of checking "keywords" that are difficult to say directly to the sales staff. In addition, while the customer can enjoy it, presentation materials and advice on sales can be provided according to the customer's psychology (by checking keywords).

[0266] <CRM Customer Follow-up System 63> The CRM system 63 in this embodiment shown in FIG. 5 will be described. The interaction between these elements is schematically shown in FIG. 23 using action lines.

[0267] This CRM system 63 uses a second cloud server 63 as the cloud and the store computer 32A as the client. The second cloud server 63 has the AI ​​engine 12 automatically generate a representative AI avatar and a sales AI avatar using its AI generation function. This sales AI avatar is then used to follow up with customers who have previously inquired about the store or visited the store.

[0268] Follow-up is carried out by the system, specifically by the second cloud server 10, automatically delivering information to customers (excluding "response to inquiries and registration of assigned personnel").

[0269] Specific examples are as follows: • The sales AI avatar's messages will prompt you to make a reservation if one hasn't been made yet, and reservations can be made using voice recognition. For example, at the end of the video, it says: "Mr. / Ms. [Name], you can make a reservation to visit us right now. If you would like to make a reservation, please say 'I would like to make a reservation'." "Thank you for your reservation. Now, please say your desired date and time for the reservation." "Is [Month] [Day] at [Time] correct? If so, please say 'Yes,' or if it's incorrect, please say 'No.'" "Understood. We have received your reservation for [Month] [Day] at [Time]. A sales representative will contact you shortly to confirm your reservation." • All generated avatar videos will automatically have the customer's name inserted.

[0270] • When presenting property information or introducing a property, the property name will be automatically inserted and included in the generated video.

[0271] • Immediate thank-you email for responses (company representative sends a thank-you avatar video) (1st time) The AI ​​will immediately determine whether to send one of the two pattern videos below, and then automatically generate and send it.

[0272] Pattern 1: Check the property status on the company's dedicated cloud-based real-time company listing site. If the property is available for rent, the AI ​​automatically generates a video of the representative's avatar introducing the property and a greeting from the representative, and sends the video.

[0273] Pattern 2: Check the property status on the company's dedicated cloud-based real-time company listing site. If the status cannot be confirmed or if an application has been submitted and the listing is closed, send a video containing only a greeting from the representative and an explanation of the system.

[0274] • Response handling and contact person registration (manual) (The store manager or rental manager automatically generates an avatar video with a greeting and property status, and sends it along with the video) (2nd time) • Create two pattern videos as shown below, and the person in charge will decide which pattern to send and send it manually.

[0275] Pattern 1: Check the property status, and if the property is available for rent, the AI ​​automatically generates a sales avatar video introducing the property, greeting the agent, and providing a system explanation, and sends the video.

[0276] Pattern 2: Check the property status and if the property is no longer available. The AI ​​will inform the customer that the property is no longer available and extract 10 similar properties from 16 inter-company listing sites as potential candidates. The sales representative then selects two or more from these candidates. Once selected, the AI ​​will automatically generate a sales avatar video introducing the property, greeting the sales representative, and providing a system explanation, and send the video.

[0277] Before extracting the above properties from the inter-company listing site 16, the sales team can also change the extraction criteria.

[0278] • On the day of the response, the sales representative sent a greeting email (with an automatically generated video of the sales representative's avatar included) (3rd time). • Responses received from the end of business the previous day until 11:30 AM have been addressed → Distributed at 11:50 PM • Responses were handled from 11:30 AM to 5:30 PM → Distributed at 5:50 PM • Responses received between 5 PM and 7:30 PM have been addressed → Distributed at 7:50 PM

[0279] • Second day of receiving feedback, broadcast about the store's strengths (automatically generated video of sales representative avatars and included in the broadcast) (4th time) Delivery at 5:50 PM

[0280] • Third day of receiving feedback, a message was sent out about key points for finding a safe, secure, and comfortable room (an automatically generated video of a sales representative's avatar was included in the message) (5th time) Delivered at 11:50 AM

[0281] • On the fourth day of receiving feedback, we distributed information about the area surrounding the store (automatically generated avatar video of the sales representative and included it in the message) (6th time) Delivery at 5:50 PM

[0282] From the fifth day onward, the AI ​​will infer the room-finding criteria from the responses, and the staff will arrange these criteria. Two listings based on these criteria will then be distributed daily from 16 inter-company listing sites at 11:50 AM and 5:50 PM.

[0283] I will continue until the broadcast is stopped. We will not send listings for properties that have already been advertised. However, if the conditions of a advertised property change, we will resend the listing with a message indicating that the conditions have changed.

[0284] • New listings will be prioritized for delivery. A message indicating that it is a "new listing" will be included.

[0285] When distributing the above property listings, the AI ​​automatically generates a sales representative avatar video introducing the property based on the property details, etc., and includes that video in the message.

[0286] [Video content] Property details ⇒ Property name, room number, rent, common area fee, room type (e.g., 1LDK), square footage, address, location (show Google Maps and mark the property's location), walking distance from station (show the route from the location to the nearest station on Google Maps). Property comments ⇒ Exterior photos are displayed, and comments are automatically generated based on the property registration details, which are then explained by an avatar.

[0287] [When a reservation is made] • As soon as a reservation is made, an automated reservation confirmation email is sent (the email will include a video message from the sales representative's avatar thanking the recipient for the reservation, explaining the survey, guiding them through the registration process, and confirming the reservation date and time).

[0288] • Reservation confirmation email (The email will include the reservation date and time and confirmation of the reservation from the sales representative's avatar. If the survey registration has not been completed, an automatically generated video of the sales representative's avatar explaining the survey and guiding the registration process will be included in the email.)

[0289] [Automatic reminder email sent 3 days before your appointment] Follow up with customers using the following pattern.

[0290] Pattern 1: If the survey registration is already complete, only the reservation date and time will be automatically generated as an avatar video of the sales representative and sent.

[0291] Pattern 2: If the recipient has not registered for the survey, in addition to the above, send a video of the sales representative's avatar with the survey explanation, registration instructions, and the appointment date and time. • The number of times each video has been watched is automatically reflected in the customer's medical record.

[0292] The benefits of using avatar videos for customer follow-up are as follows: Increased viewing rate (as it differs from typical follow-up emails). Customers find it entertaining. Customers feel a sense of familiarity with sales staff. Differentiation from competitors. Increased rate of pre-survey registration (automatically reflected in customer records). Increased interest in the company (store). Increased store visit rates and a reduction in appointment cancellations are expected.

[0293] An example of follow-up email content is shown below. A key feature is the email with a thank-you video featuring a representative AI avatar, in which the AI ​​automatically inserts the "customer" and "property name" into the video. When a response is received to this avatar video, that response is instantly captured by the system. (Example of email content) Mr. / Ms. XX Thank you very much for your inquiry about the rooms. Our company representative avatar, [Name of representative], will explain the details of your inquiry in this video. *The audio is muted. [Avatar video link] Once a sales representative has been assigned to you, they will contact you with the latest information regarding the property you inquired about. [signature]

[0294] The store manager or rental manager will send a greeting and update the property status via avatar video. The video contains "customer," "property name," and "property status." (Another example of email content) Mr. / Ms. XX Thank you for your inquiry about the room. I'm the store manager, [Name]. I will provide you with the latest information on the property through a video using my avatar, [Name]. *The audio is muted. [Avatar video link] Once a representative has been assigned to you, we will contact you. Thank you for your continued support. [signature]

[0295] Furthermore, all avatar videos will automatically include the customer's name. The customer's name, email address, and property name / room number will be extracted from the response details received from each portal site. All avatar videos will be sent with the mute function enabled. Unmuting will be easily enabled.

[0296] Furthermore, the avatar video will also explain the rental property buying, selling, leasing, and management support system 2 according to this embodiment. This system is "People x Technology = Find a safe, secure, and comfortable room." People = Sales representative and customer Technology = Buying, selling, leasing, and management support systems Emphasize that this is the case.

[0297] Based on the above, the RM customer follow-up system 63 according to this embodiment can automatically distribute property candidates searched from all inter-company distribution sites set up by each company within the cloud. Furthermore, it can automatically send greetings and information on the status of inquired properties using avatar videos (automatically generated) to enhance the follow-up effect. In addition, it can differentiate itself from other companies by conveying the fact that it is looking for a room using high-tech technology through avatar videos and emails.

[0298] <Ledger Management System 64> According to the sales, rental, and management support system 2 of this embodiment, the ledger management system 64 is configured to store in the database 14 tables and trend graphs summarizing the sales data of each real estate store 32 (34, 36), including daily sales progress, monthly sales, sales by salesperson, and commission performance by salesperson (this month, past), based on this sales data. When modifying this data, several criteria, including commission and sales confirmation, are adjusted to the rules of each store. The IDs and passwords of the managers and sales staff of each store are managed individually.

[0299] [Sales and contract ledger management] Each person in charge can manage each customer individually. Sales management: Customer name, property name, management company name, brokerage fee, AD (advertising fee), incidental sales, and other sales are managed in a ledger.

[0300] [Deposit Management] The system automatically reads the names and amounts from bank deposit statements (Excel or CSV) to register the above-mentioned brokerage fees, AD (advertising fees), incidental sales, and other sales, and registers the deposits.

[0301] [Contract ledger management] Each customer is managed in PDF format, and each store is managed on Cloud6. A contract is counted when the brokerage fee payment process, AD payment process, and contract ledger upload are completed. The "customer name, property name, management company name, and contract ledger" are deleted from each individual account on the payroll closing date after the contract is finalized.

[0302] Cloud 6 stores "customer name, property name, management company name, and contract ledger." Only administrators can view this information. Sales staff's personal accounts retain past sales and contract numbers as long as the account exists.

[0303] [Commission-based pay calculation] The system automatically calculates commissions from information within each sales account, according to the company's commission pay conditions and calculation methods, and can output the results in Excel, CSV, etc. It can also be linked to Money Forward (in collaboration) and automatically reflect commission pay. Commission pay progress and past performance can be checked in each individual's account. Past performance remains even after changing jobs. Progress and performance can be viewed in tables and trend graphs.

[0304] Thus, according to the sales, rental, and management support system 2 of this embodiment, sales efficiency can be further improved by integrating property search, sales support, and CRM operations, and the workload of sales staff and stores (companies) can be reduced by centralizing ledger management.

[0305] <Sales Training System 65> The sales, rental, and management support system 2 according to this embodiment performs property search, sales, follow-up, and ledger management tasks based on customer preferences, as well as individual sales staff responsible for these tasks and the real estate offices (companies) to which those sales staff belong. • Developing individuals to improve company performance. A system for the growth of both individuals and the company. • Automate employee training while increasing employee motivation. • To visualize the current individual level. • The system fees for the sales, rental, and management support system 2 are automatically reduced based on the number of employees and the company's performance. As part of this educational system and the incentives to guide its implementation, we offer the Sales Training System 65.

[0306] This sales training system 65 provides various programs based on data stored in the database 14 for each store (company) and the database 18 dedicated to the sales staff of each store, which are located on a second cloud server or a higher-level cloud server (not shown in the diagram). Examples of these programs include rental sales level certification, sales nomination system, rental specialty certification, company rankings and discounts on system usage fees, rental sales grand prix and its rewards (rental sales grand prix), and certification marks. These will be explained below.

[0307] [Certified Rental Sales Professional] This certification can be used for bonus evaluations, position evaluations, and hiring decisions. The system company (or its related organizations, public interest corporations, etc.) that provides the Buy / Sell / Lend / Management Support System 2 will issue an ID (which remains the same even if the employee changes jobs) to each individual sales staff member. This will make the individual level of sales ability visible. This visibility can be used as a reference during hiring, for salary increases, and for promotion evaluations. The rental sales levels defined in this embodiment are as follows, as an example.

[0308] • Level 1: Watch the system usage seminar (located within the system and viewable with each sales staff member's ID → automatically certified after viewing) • Level 2: Complete system role-playing training and clear attribute app game. • Level 3: Passed the System Role-Playing Examination • Level 4: 15 or more contracts concluded per month for 3 consecutive months • Level 5: 20 or more contracts concluded per month for 3 consecutive months • Certified Rental Crown Salesperson: Winner of the Rental Sales Grand Prix → Ranked 1st to 5th or achieving 20 or more contracts closed per month for 6 consecutive months. Furthermore, upon receiving these certifications, individuals can display the certification mark on business cards and other materials, and include it on resumes when changing jobs. They can also receive a certificate, which can lead to increased incentives. Additionally, each store can display the certification mark and the number of certified individuals on its website, contributing to increased customer trust.

[0309] [Sales appointment system] This nomination system is recommended for stores (companies) located in areas where they cannot collect one month's worth of brokerage fees from customers, or for stores / companies that want to increase their brokerage fees but don't know how. It involves adopting a system where customers can nominate their sales staff. Brokerage fees vary depending on the sales rank; higher ranks result in higher brokerage fees.

[0310] Example) Up to Level 2: Brokerage fee is 50% of one month's rent. Level 3: Brokerage fee is 70% of one month's rent. Level 4: Brokerage fee is 80% of one month's rent. Level 5: Brokerage fee is 100% of one month's rent. If no specific salesperson is requested, a 50% commission will be charged regardless of which sales staff member is assigned. From the company's perspective, this allows sales staff to develop and improves performance (due to increased average customer spending). From the individual's perspective, it improves performance and commission, and from the customer's perspective, it allows them to receive service from higher-ranking sales staff.

[0311] [Rental Specialty Certification] This system provides certification for sales staff, aiming to increase their pride in their work and improve their incentives. It is established for each specialty.

[0312] • Property Photography Specialist: Upon successful completion of practical training and testing, certification as a Property Photography Specialist will be granted. Photographs (images) are a crucial element in property searches, as they significantly influence the initial impression.

[0313] • Rental Good Sales Certification: You will receive certification after completing a two-day special training program (including the teaching of top-secret techniques) from an experienced instructor, and passing a role-playing game with the instructor on the final day.

[0314] Once these rental specialty certifications are obtained, you can display the certification mark on your business cards, etc. Furthermore, you can include your rental specialty certification on your resume when applying for a new job, etc. Of course, you will receive a certificate of certification to prove it.

[0315] [Company rankings and discounts on system usage fees] This is a ranking system offered not only as an incentive for businesses, i.e., stores, but also as a measure to improve profits. Specifically, it involves ranking businesses as described below, and lowering (discounting) system usage fees according to their ranking level.

[0316] Rank 1: Sales ratio of Level 2 is 70% or higher → ○% discount Rank 2: Sales ratio of Level 3 is 70% or higher → ○% discount Rank 3: Response rate exceeds 50% year-on-year for 3 consecutive months → ○% discount Rank 4: Overall monthly contract volume increases by 10% or more compared to the previous year. 3 times a year → ○% discount. Rank 5: Overall monthly contract volume increases by 30% or more compared to the previous year. Three times a year → ○% discount. Rank 6: Overall monthly contract volume increases by 50% or more compared to the previous year. 3 times a year → 〇% discount. Rank 7: Overall monthly contract volume increases by 70% or more compared to the previous year. Three times a year → ○% discount. Rank 8: Overall monthly contract volume increases by 70% or more compared to the previous year. 6 times a year → ○% discount. Rank 9: Overall monthly contract volume increase of 80% or more compared to the previous year; 6 times a year → 〇% discount Rank 10: Overall monthly contract volume increases by 80% or more compared to the previous year for 6 consecutive months → ○% discount

[0317] [Rental Sales Grand Prix and its rewards (Rental Sales Grand Prix)] This Rental Sales Grand Prix is ​​also set up for stores to which sales staff belong. Winners of the Rental Sales Grand Prix (top 5) will be recorded as certified Rental Crown Salespeople, and winners will receive a prize.

[0318] The entry requirement for this rental sales grand prix is ​​that the store has sales staff with rental sales level 4 or higher. The winner will receive a XX% discount for one year at the store where they are assigned. The store where the runner-up is assigned will offer a XX% discount for one year. The person who comes in 3rd place will receive a XX% discount for one year at their assigned store. The person who comes in 4th place will receive a XX% discount for one year at their assigned store. The person who comes in 5th place will receive a XX% discount for one year at their assigned store. We can offer a combination of features, such as setting a time period and discounts on system usage fees.

[0319] Furthermore, the higher-level server (also simply called the system), such as the cloud server (not shown) that manages this system, periodically accesses databases 14 and 18 to collect data and determine various sales performance levels for sales staff and real estate offices that fall under the various programs described above. This determination result is communicated to the offices and sales staff via the communication network 4 at appropriate times. [In the case of the rental business level certification method]

[0320] The system tracks each individual's number of contracts (conditional on the payment of brokerage fees and the completion of contract ledger uploads) and certifies them at each level once the conditions are met. The final certification is performed by the person in charge at the company. After certification, the system adds a message and certification mark to the individual's account informing them of the certification. From the certification mark, it is possible to proceed to the "Level Explanation Page (System Company)". The system automatically adds the individual's ID and name to the certification mark. The certification mark can also be downloaded as a PDF. In addition, certification certificates, sales performance certificates, and contract count certificates can be issued within each account. [In the case of company-side rankings]

[0321] The system checks each company's sales and, once the conditions (based on the payment of brokerage fees and completion of contract ledger upload) are met, it automatically sends a rank-up message and assigns a rank authentication mark to each company's account. From the authentication mark, it is possible to proceed to the "Rank Explanation Page (System Company)". The authentication mark is assigned with the company ID and company name automatically entered. The system company also receives a message to that effect, and the certification is finalized once the person in charge completes the final certification.

[0322] <Talent Matching System 66> Furthermore, the rental property buying, selling, leasing, and management support system 2 according to this embodiment includes a human resources matching system (matching unit, functioning as a matching means) 66 that provides users of the support system 2 with opportunities for job hunting and career changes. Users of this support system 2 are companies such as real estate offices and companies that are affiliated with the support system 2, and their employees (sales staff). Since this human resources matching system 66 is linked to the data acquired in the aforementioned ledger management system 64 and sales training system 65, it also functions as a system that matches job seekers with employers within the support system 2.

[0323] This talent matching system is functionally provided by a second cloud server 10 using personal data stored in personal pages, which are memory areas set up in database 18 (see Figure 24).

[0324] When a system user (sales staff, real estate office) starts the personnel matching system 66 from their own login screen (step S601), the second processor 10C of the second cloud server 10 reads the personnel matching processing program that is pre-stored in ROM:10E. When this program is started, job seekers who are system users can enter their personal page using their personal login ID and submit a job matching request, while companies that want personnel (system user companies) can enter their company page using their company login ID and submit a personnel matching request (desired conditions) (step S603).

[0325] If, through this matching process, the "desired work location of the job seeker," "job seeker's company ranking," "desired sales rank of the company," and "desired sales age of the company" match or are close to matching (step S605), the talent matching system 66 automatically sends a proposal document as a matching proposal to the desired company (step S607). The proposal document includes information that allows the user to view the "age," "years of system use," and "sales rank."

[0326] If a company becomes interested in hiring a job seeker after viewing their profile (step S609), it can approach that job seeker with information such as "company details," "company rank," and "recruitment conditions." The talent matching system 66 then sends an approach message to the job seeker (S611).

[0327] When a job seeker requests an interview, they send an "Interview Request" from their personal page to the talent matching system 66 (S613). Upon receiving this interview request, the company can then view the job seeker's profile (personal information such as name, work history, sales rank, detailed achievements, etc.) on the support system (S615). From this point on, it becomes possible to exchange messages within the system and schedule an interview (S617). In other words, the matching service is conducted in a way that the company where the job seeker is currently employed (jointly working) does not know that the individual salesperson is seeking job matching.

[0328] Subsequently, a job application review is usually conducted through interviews and other means. If the conditions and proposal do not match (NO in steps S605, S609, or S13), for example, this matching process will be terminated.

[0329] In this way, matching is performed using more reliable and fair data (such as ranking data including various individual and company performance records) provided by Support System 2 for job seekers and companies. When matching is based on data unilaterally presented by individuals or companies, job changes and job searches often end in mismatches, but the talent matching system provided by Support System 2 can set a matching rate that is higher.

[0330] In short, the distinguishing feature of this talent matching function, unlike other existing matching methods, is that it allows for recruitment and job-seeking activities using highly reliable evaluation information certified by a third party (a system development and sales company) that ranks companies and salespeople. Recruiting companies can learn about sales performance from reliable evaluations, making it possible to hire salespeople who can hit the ground running. Salespeople seeking employment can learn about the track record of companies from reliable evaluations, making it possible to determine whether they can further grow after joining the company. Furthermore, if a company wants to hire an employee (sales staff) from another company, the matching process can be carried out in the same way as described above, that is, by substituting "hiring company" with "an employee from another company," "an employee from another company" with "hiring company," and "personal page" with "company page."

[0331] <Second Embodiment> A second embodiment of the present invention will be described with reference to Figures 25 to 28.

[0332] This second embodiment provides an automatic property avatar video generation function, which can be set to play on a monitor in a real estate office so that customers can view it themselves at any time. Preferably, it is implemented in combination with the sales, rental, and management support system 2 according to the first embodiment described above.

[0333] Hereinafter, the property avatar video automatic generation function according to the second embodiment will be described as being implemented in combination with the sales, rental, and management support system 2 according to the first embodiment described above. Here, components that have the same or equivalent functions as those described in the first embodiment will be denoted by the same reference numerals, and their descriptions will be simplified or omitted.

[0334] In this second embodiment, the property avatar video automatic generation function is a function provided collaboratively by the second cloud server 10, the AI ​​engine 12, and the tablet 40 in the aforementioned property registration system 61, as shown in Figure 25.

[0335] In other words, in the first embodiment described above, after property registration is completed, the "Property Details" (which simultaneously automatically inputs the address into Google Maps and the hazard map portal site, and also automatically adds the nearest station from the property details to Google Maps and displays the route, along with the following: "Property Comments", "Photo Comments", "Google Maps (displaying the property's location, nearest station, and route between the property and the nearest station to prompt the user to confirm the route to the station)", "Google Street View display to prompt the user to confirm the area around the property", "Hazard Map display to prompt the user to confirm the location", and "System Description").

[0336] The second cloud server 10 has the AI ​​engine 12 generate an AI avatar video (of the property registrant) using a generating AI that has stored the aforementioned registration and additional information, and automatically stores it along with the file name and property name in each "property video folder" 109 allocated in the database 14 within the company's dedicated cloud. Subsequently, if the property registrant wants to use the video, they can register the video on each portal site. The AI ​​avatar video is generated using a photo of the sales staff or a desired character (see Figure 26).

[0337] As a result, by starting the AI ​​avatar video, the AI ​​avatar will use images and sound to... Property details ⇒ Explain the property name, room number, rent, common area fees, room type (e.g., 1LDK), square footage, address, location (show the property's location on Google Maps), and walking distance from the nearest station (show the route from the location to the nearest station on Google Maps). Property comments ⇒ Display exterior photos, automatically generate comments based on the property registration details, and explain them (see Figures 27 and 28).

[0338] Furthermore, the comments posted on portal sites and homepages will be deliberately different in content.

[0339] Property photos and comments ⇒ Already registered photos of the living room, kitchen, bathroom, security, and exterior.

[0340] I'll explain the comment while showing the photo.

[0341] By using AI avatar videos in this way, the workload of sales staff can be reduced, and clearer explanations can be expected.

[0342] <Third Embodiment> The present application for a rental property sales, leasing, and management support system 2 relates to the use of a personal page assigned to each sales staff member within this support system 2, i.e., a personal management storage area that can only be viewed by that individual using their personal ID (sales staff, store employee). This use is executed as part of the aforementioned sales training system 65, based on data stored in a database 18 shared among cloud servers 6, ..., 6, under the calculation and control of a service cloud 6S (see Figure 29) separately provided by system 6N, which integrates the cloud system as a whole. This service cloud 6S has an AI processing unit 601 that supervises the following various service processes. The configuration of this AI processing unit 601 itself adopts a publicly known one, and the training data for machine learning can be data labeled according to the content of the service.

[0343] In this embodiment, this personal page is called a sales personal page, and it is set up for each sales staff (individual) at each rental real estate store 32 (34, 36) in a system-wide database 18, which is separate from the database 14 used by the rental real estate stores 32. One of the features of this personal ID given to sales staff is that once it is given, it remains valid for life (however, the personal ID has an expiration date of a predetermined period (for example, 2 years)). In other words, even if they change jobs to another real estate store, they will use the personal ID that was initially assigned to them, and this sales personal page is one of the powerful documents that can objectively prove the capabilities of each sales staff member, such as their sales performance, experience level, and current abilities in the rental real estate industry.

[0344] As schematically shown in Figure 29, this personal page is configured so that each sales staff member's personal terminal 400 (smartphone or tablet) can download application APKs purchased from the system provider, either for a fee or free of charge, via the service cloud 6S. Therefore, each sales staff member can launch this application APK during their free time and access their personal page KJ in the database 18 via the internet 4, under the control of the service cloud 6S. Although not shown in the diagram, the database 18 is equipped with a processor that performs processes such as accessing, recording, and viewing data for each sales staff member.

[0345] This salesperson's personal page KJ contains a) Data such as this month's commission progress, this month's sales progress, past commission performance, and past sales performance are saved in the form of tables and trend graphs, and can only be viewed by sales staff with their respective personal IDs. Of course, commission and sales figures are recorded according to the rules of each store (company). (i) Sales performance reports and issued sales level certifications are recorded. Here's what makes this salesperson's personal page KJ even more unique: (c) Each sales staff member (ES) can check their progress toward their next sales level (a ranking level indicating sales skills) on their individual sales page (KJ). For example, a sales staff member (ES) at level 1 can check their progress toward level 2 as follows:

[0346] Step 1: Complete the role-playing training provided by the system and play the attribute game (a game that takes into account customer profiles and attributes) ⇒ Progress Information: Training completed, game cleared. Step 2: AI Role-Playing Assessment ⇒ Progress Information: Achieved a score of 6 or higher out of 10 twice. Only one more step to advance. Step 3: Role-playing evaluation ⇒ Progress information: If you receive a rating of 3 or higher, you will earn a total of 10 points. E) The aforementioned talent matching system 66 can be used by anyone, regardless of whether they currently belong to any store (company) (i.e., are not currently employed), to log in and use the system for job searching, etc. (e) Sales staff ES can receive training by watching actual example role-playing videos using presentation materials. During this viewing, the example role-playing video pauses after each page, allowing users to practice role-playing page by page. The recorded data of their own role-playing is stored in the "Role-Playing Practice Video Folder 181" (see Figure 29) set on each sales staff ES's personal page KJ. In other words, it is possible to record while viewing the presentation materials. Furthermore, Level 2 sales staff ES can share "AI Avatar Customer Type Role-Playing Videos" on their personal page KJ with other sales staff nationwide and receive evaluations, feedback comments, and advice. Since requesting evaluations from others and being evaluated by those being evaluated are one of the challenges for raising sales rank, system users can grow together. In addition, it is possible to choose to publish anonymously or with face blurring (unblurring is recommended, as facial expressions are also an important part of presentations) in advance.

[0347] (AI avatar role-playing videos categorized by customer type) In this embodiment, the example role-playing video described above is provided as one form of use by downloading the aforementioned personal page usage application APK, which is called the "AI Avatar Customer Type-Specific Role-Playing Video." This "AI Avatar Customer Type-Specific Role-Playing Video" is a video designed to improve skills by role-playing with an interactive AI avatar (which mimics the character of a hypothetical customer) as a customer. One of the distinctive features here is that the AI ​​avatars mimic customers with various personalities. In other words, various aspects such as age, occupation, gender, and personality (e.g., an easily angered person, a quiet person, a talkative person with lingering anxiety, a family person, a person accompanied by someone) are considered, and the interviews regarding rental property applications are labeled and fed to a learning model for machine learning. For this reason, multiple types of "customer AI avatars" AB6 (AB61, AB62, ...) that mimic these multiple typical patterns are pre-stored in, for example, database 18. Therefore, sales staff ES can select from several types of "customer AI avatars" AB6 (AB61, AB62, ...) either through the AI ​​or by themselves, and then load them into, for example, a personal device APK to practice in a realistic setting. The method for generating the "customer AI avatars" AB6 is the same as described above, but the data used for training is specifically tailored to sales interviews.

[0348] An example of this self-practice is as follows: 1. Level 2 sales staff can receive training using "AI avatar role-playing videos categorized by customer type." 2. When a Level 2 sales staff member ES is present, System 6N automatically requests a Level 4 sales staff member to evaluate a role-playing video of the AI. 3. System 6N automatically displays a message on the personal page of Level 4 sales staff saying, "We have a request for role-playing evaluation. Please provide your evaluation and comments." When the sales staff who have evaluated click "Evaluate," they can view the role-playing recording of KJ on the personal page of the sales staff member who requested the evaluation (ES), and then write their evaluation and comments. 4. If a sales staff member who requested a role-playing evaluation receives a rating of 6 or higher on a 10-point scale from the Level 4 sales staff member who performed the evaluation, System 6N will automatically award them 1 evaluation point. If the Level 4 sales staff member who performed the role-playing evaluation receives a "thank you" (expression of gratitude) from the evaluated sales staff member, System 6N will automatically award them 1 evaluation point.

[0349] (Specific examples of AI avatar customer type and attribute-based role-playing function) As described above, this role-playing function simulates a scenario where the user (sales staff ES) conducts an interview with an interactive customer AI avatar AB6, which is treated as an actual customer. In this embodiment, the AI ​​processing unit 601 is responsible for the evaluation function after the role-playing. A specific example will be explained.

[0350] First, multiple customer AI avatars AB6 (AB61, AB62, ...) are pre-generated and stored in database 18 (see Figure 31). Therefore, when the personal page usage application APK is downloaded from database 18 via service cloud 6S, the AI ​​processing unit 601 takes on the role-playing facilitator role-playing, determining the difficulty level of the role-playing according to the sales staff ES rank and selecting the type of customer AI avatar AB6.

[0351] When role-playing begins, the customer AI avatar AB6 takes on various customer roles, enabling role-playing, AI evaluation, and AI advice. The AI ​​processing unit 601 learns the behavioral patterns, questions, and objections of various types of customers looking for rental properties (new students, new employees, international students, unemployed, self-employed, corporate contracts, etc.) and customers with various attributes (annual income, occupation, financial troubles, initial cost budget, rent budget, rent arrears, welfare recipients, etc.). The customer AI avatar AB6 is trained on these various customer types, attributes, presence or absence of decision-makers, and difficult questions. Therefore, the AI ​​avatar AB6 can rearrange what it has learned to construct questions, and depending on the setting level, it can even ask difficult questions. In other words, because it rearranges the question structure, it can take on hundreds of different customer roles in role-playing.

[0352] The AI ​​processing unit 601 inputs various room conditions, attributes, points of interest, and questions it has learned into a tablet questionnaire. Subsequently, additional presentation materials are added to the basic presentation materials based on the input. This process is similar to the aforementioned questionnaire responses in a store setting. Therefore, the entire process, from filling out the customer record to closing the deal, is simulated between the sales staff ES and the customer AI avatar AB6. However, the on-site visit is omitted.

[0353] Finally, the AI ​​processing unit 601 evaluates the role-playing on a 10-point scale and provides the evaluation results and advice to the trained sales staff ES after each role-playing session.

[0354] The AI ​​processing unit 601 randomly selects a customer type and performs the task. During this task, the customer AI avatar AB6 asks questions and raises objections tailored to the customer type. If the customer terminal 400 has a camera function and can acquire camera images, the customer AI avatar AB6 will also monitor the images and evaluate whether the sales staff ES is responding appropriately to the avatar's expressions, such as tilting its head, looking away, or making a thoughtful expression.

[0355] Furthermore, the AI ​​processing unit 601 provides sales staff ES with materials and message advice tailored to their questions and counterarguments. The AI ​​processing unit 601 then uses voice recognition to determine whether the sales staff are responding based on these materials and messages.

[0356] Furthermore, the AI ​​processing unit 601 determines the sales type. For example, the sales type is determined from perspectives such as whether the salesperson is passionate, gloomy, cheerful, fun, has a consistent tone, or gentle.

[0357] Furthermore, the AI ​​processing unit 601 calculates the percentage of salespeople whose gaze is directed towards the camera and provides that percentage during evaluation.

[0358] Customer terminals 400 include smartphones, tablets, and PCs, and their screens display presentation materials PZ and customer AI avatars AB6. The image of customer AI avatars AB6 is displayed near the camera in the upper center.

[0359] After the role-playing session ends, the "Role-Playing Video Folder with Avatar 182" (see Figure 29) is automatically stored in the personal page KJ of database 18. At the same time, the evaluation score and advice message from the customer AI avatar AB6 are also stored in the aforementioned folder 182.

[0360] Level 2 sales staff ES automatically requests evaluation from Level 4 sales staff via the service cloud 6S, which creates role-playing videos with customer AI avatar AB6.

[0361] Furthermore, sales staff at all levels will be able to participate in role-playing exercises with the customer AI avatar AB6.

[0362] (An example of role-playing) 1. Clicking "AI Avatar Customer Type Role-Playing" on a smartphone, tablet, or PC will start the process, and the role-playing will automatically begin recording. 2. The customer inputs various room conditions, attributes, concerns, and questions that the AI ​​avatar AB6 has learned into a tablet questionnaire. 3. The customer AI avatar AB6 creates presentation materials tailored to that type. 4. The salesperson uses the presentation materials to give a presentation. The customer AI avatar AB6 monitors whether they are doing so using its voice recognition function. 5. The customer AI avatar AB6 asks questions and raises objections tailored to the customer's type and attributes. 6. The customer AI avatar AB6 will provide additional information and messages tailored to the question or objection. 7. The salesperson explains the additional materials. The customer AI avatar AB6 monitors whether they are doing so using voice recognition. 8. The customer AI avatar AB6 stores property details and other information from its medical record into the first to third candidate folders on the company-specific page (inter-company distribution site). Although not shown in the diagram, these folders are set up on the personal page of database 18 in the same way as in the embodiment described above. 9. The salesperson proposes and explains the property details and other information within that folder. The customer AI avatar AB6 monitors whether this is being done using voice recognition. 10. The customer AI avatar AB6 moves 3 to 5 property details from all folders to the "Final Consideration" folder. 11. Have the customer AI avatar AB6 input a score (1-5 points) for each item for each property that is the "final property under consideration". 12. The sales representative will also provide feedback on the management company's reputation and the safety of the area surrounding the property, using one of three options: "Good," "Bad," or "Average." 13. The customer AI avatar AB6 performs the final judgment. 14. The salesperson performs the final closing. 15. The customer AI avatar AB6 will ask questions and raise objections during the closing process, based on its learned patterns. 16. The sales representative handles the questions and objections. The customer AI avatar AB6 monitors whether they are doing so using voice recognition. 17. The customer AI avatar AB6 determines its sales type. (Examples) Passionate, dark, bright, fun, consistent tone, gentle 18. The customer AI avatar AB6 calculates the percentage of times it is facing the sales perspective camera and provides that percentage during evaluation. 19. End the role-playing session with customer AI avatar AB6. 20. Store the video in folder 182, "Role-Playing Videos with Avatars," on each individual salesperson's page. The customer AI avatar AB6 will also store the video in the same folder along with its evaluation score and advice message.

[0363] (What the AI ​​evaluates) This is done using voice recognition. 1. Have you completed all the basic presentations? (Determine if speech recognition was used for each page.) 2. Was the presentation conducted smoothly? (Determined by the time taken for each page, as learned by the AI) 3. Accuracy of the presentation content (judged by whether each page aligns with the content learned by the AI ​​through speech recognition) 4. Whether the presentation was conducted in the correct order (determining whether it followed the customer service flow learned by the AI ​​through speech recognition). 5. Volume and intonation of voice (determined by AI using voice recognition function) 6. Were you able to complete the customer's medical record properly? 7. Did you explain the materials tailored to different customer types? 8. Were you able to respond to questions and counterarguments?

[0364] (Example of evaluation) The score is 9 points. The reason is, "The explanation lacks intonation. You need to slightly increase or decrease the emphasis on points you want to highlight. You also need to make some adjustments, such as slightly increasing the intervals between presentations." One of the points mentioned above does not align with the AI's learning content, so points are deducted, resulting in 10 points - 1 point = 9 points.

[0365] (Variation: "Role-playing game") Furthermore, as a variation of the My Page, it is also possible to create a "Role-Playing Game." Since this Role-Playing Game is provided purely as a game, its main purpose is to strengthen knowledge related to the sale of rental properties, etc.

[0366] The program for this role-playing game is also downloaded from database 18 to personal terminal 401 (see Figure 31) and executed. A suitable format for this role-playing game is a multiple-choice quiz that sets up different customer response methods, such as when showing rooms to international students. However, instead of simply ending the role-playing game as a game, it can be used as an incentive for skill development, for example, by making passing this game one of the requirements for achieving Level 2 of the rental sales certification.

[0367] Please note that among the features available on the personal page, viewing example presentations using presentation materials, role-playing with AI avatars categorized by customer type and attribute, and role-playing games are unavailable if the sales staff member is not participating in this support system 2.

[0368] Furthermore, using the personal page KJ for AI avatar customer type / attribute-based role-playing, role-playing games, and viewing personal achievements becomes more convenient and less constrained by time and location if users log in via the application APK downloaded to their personal device such as a PC.

[0369] (Example: AI customer service evaluation) As a modification applicable to the embodiment of the sales support system 62 described above, an AI customer service evaluation can be added. This modified AI customer service evaluation can be performed, for example, by a sales AI avatar AB1. The sales AI avatar AB1, which collaborates with the sales staff throughout the process from when a customer enters the store until when they leave, is trained to evaluate the customer service on a 10-point scale after the interaction. The evaluation results and advice are provided after each customer interaction. This can be done via the voice recognition function of the sales AI avatar AB1. When a customer leaves the store, it can be set to automatically start from "Viewing a system and medical record explanation avatar video".

[0370] As a criterion for evaluating customer service, (1) Have you given the entire presentation? (Determine if speech recognition was used for each page.) (2) Whether the presentation proceeded smoothly (determined by the time taken for each page as learned by the AI), (3) Whether the accuracy of the presentation content was ensured (judged by whether each page conformed to the content learned by the AI ​​through speech recognition), (4) Did they properly explain a variety of information when proposing properties (judging whether the proposal method learned by the AI ​​through voice recognition was being used)? (5) Did the AI ​​avatar AB1's messages help with customer service? (As determined by the AI ​​through voice recognition) (6) Was the medical record thoroughly completed before the interview? (The AI ​​checks the contents of the medical record to make a judgment.) (7) Whether the customer service was carried out according to the manual (determining whether it was carried out according to the customer service procedure learned by the AI ​​through voice recognition), (8) Whether a thorough explanation was given regarding the "important points" and "questions" that the customer entered in the questionnaire (judging whether the response method learned by the AI ​​using voice recognition was used), (9) Whether the system was able to respond to the "keyword" (determining whether the AI ​​was able to respond using the methods it had learned through the voice recognition function), (10) Whether the volume and intonation of the voice were sufficient (determined by AI using voice recognition function), (11) Have you confirmed with the management company the matters that should have been confirmed? (12) Was the closing talk done well? It will be judged and evaluated from these perspectives.

[0371] (Example of evaluation) For example, in the case of a sales staff member with a rating of 7 points, • The basic presentation materials, specifically pages 3 and 5, were not presented. The explanation about the warranty company for P7 was missing. The estimated time was 30 minutes, but it ended up taking 40 minutes. Therefore, points are deducted for the three areas mentioned above, as they do not align with the AI's learning content. 10 points - 3 points = 7 points. The overall feedback is: Please make improvements.

[0372] In addition, in the embodiments and variations thereof described above, an RPA (Robotic Process Automation) tool may be used instead of AI processing. This RPA tool is software that automatically performs tasks on a computer such as a PC in place of a human, and in particular, processes that have a strong characteristic of being performed according to certain rules and routines, such as guiding users to answer questionnaires, may be configured to be executed by this RPA tool.

[0373] <Fourth Embodiment> Next, a fourth embodiment will be described with reference to Figures 30 to 38. This fourth embodiment relates to a more in-depth implementation of the questionnaire process within the series of processes related to the registration of rental properties in the sales, rental, and management support system 2 shown in Figure 1 above.

[0374] In this embodiment, components that perform the same or equivalent functions as those described above are given the same reference numerals, and their descriptions are omitted or simplified.

[0375] Figure 30 is a block diagram illustrating the schematic configuration of the sales, rental, and management support system 2A according to this embodiment. As shown in the figure, in this system 2A, images, photographs, and videos that visually represent property information and environmental information for each rental property, which will be necessary when conducting the in-depth questionnaire described later, are pre-stored in the database 14 in readable memory areas 14A (images), 14B (photos), and 14C (videos), respectively. These images, photographs, and videos are used as answer choices for the questions in the in-depth questionnaire described later. An in-depth questionnaire, as described later, is not a questionnaire in which respondents simply check multiple answer boxes or answer in text for each question, but rather a questionnaire in which questions that are judged in advance to be more effective visually, or supplementary questions that deepen the content of those questions, are asked with images (images, photographs, videos, etc.), and respondents are asked to answer with images (visually). Images may be created using AI (artificial intelligence). Videos such as Street View provided by Google may be used.

[0376] In order to conduct the in-depth survey described above, the second processor 10C in this system 2A is configured to perform its central arithmetic functions together with the ROM 10E, RAM 10D, and the database 14 described above.

[0377] Furthermore, in this system 2A, a customer (or prospective customer) can send their name and email address, along with their intention to participate in a survey, via the Internet 4 from their terminal 40J (a smartphone, PC, etc. with computer communication capabilities) to, for example, the dedicated cloud 6 for store A. In response, the second processor 10C in the second cloud server 10 associates the received information, such as the name and email address, along with management information (such as the assignment of a customer number), with a URL that serves as the storage location for the survey application, and stores it, for example, in RAM 10D. Next, it sends that URL to the customer's email address, prompting them to download it. This allows the customer to download the survey application from the database 14 or RAM 10D on the server 6 to their terminal 40J.

[0378] When a customer opens the downloaded survey application, they will see a screen similar to the one shown in Figure 31. This screen explains that this survey is different from the text-based surveys used when applying for rental properties. In other words, there are three types of surveys available: "In-depth Interview (In-depth Questionnaire)," "Simple Interview (Simple Questionnaire)," and "No Interview (No Questionnaire)." Of course, as another example, it could be a choice between "In-depth Questionnaire" and "Simple Questionnaire," or between "In-depth Questionnaire" and "No Questionnaire," but in any case, it is important that "In-depth Questionnaire" is included.

[0379] Therefore, customers proceed to the survey by clicking the "Start" button for "In-depth Questionnaire," "Quick Questionnaire," or "No Questionnaire Required" from the menu screen shown in Figure 32.

[0380] In response, the second processor 10C interactively initiates the process shown in Figure 33 with the customer terminal 40J via the internet 4. Alternatively, the customer may visit the real estate office 32 and access the questionnaire using the tablet 40 provided there.

[0381] <The Importance of In-Depth Questionnaires> Here, we will explain the importance of the in-depth questionnaire according to this embodiment. Traditionally, the purpose of conducting surveys has been to search for and provide rental properties that match the customer's desired conditions, by eliciting their preferences and proposing properties that seem to best match those conditions. In addition, in the first embodiment described above, the purpose was also to check the customer's profile (type), attributes, and / or personality from the perspective of the real estate office or management company through the survey responses, in order to improve the closing rate and prevent mismatched rental contracts. For this reason, the surveys in the embodiments described above were prepared with as many detailed questions as possible for customers to answer (Figure 4, steps S3-S5).

[0382] However, there was still room for improvement. In other words, if the questionnaire explanation was only textual information, it was difficult for the system, including sales staff, to share the image of the property the customer wanted, and furthermore, the customer themselves may not have a clear image of their desired conditions. That is, they may not be fully aware of what kind of property they truly want. Therefore, in this embodiment, through answering the questionnaire, the customer can clarify the image of the living space they want and share that image with the system (including sales staff). This will enable the provision of rental property candidates that better match the desired conditions.

[0383] As described above, the questionnaire according to this embodiment may be completed by the customer visiting the real estate office 32 and borrowing a tablet 40, or the customer may download the questionnaire application from system 2A to their own terminal 40J in advance, for example at home, and then launch and execute the questionnaire on that terminal 40J (see Figure 30). In this embodiment, the questionnaire executed by the latter method will be described.

[0384] Therefore, one of the features of the in-depth questionnaire according to this embodiment is that it includes in-depth questions that use image (visual) information such as photographs, images, and videos as selectable options. In other words, it includes basic questions that ask for basic items for each group of information, such as residential information, environmental information, and distance from the station for rental properties, and in-depth questions that delve deeper into each basic item in more detail.

[0385] For example, a basic question is: "1: What size room would you prefer?" "2: What type of room would you prefer?" "3: How much storage space do you need?" "4: What walking distance from the nearest station would you prefer?" Examples include, "5: What kind of surrounding environment do you desire?"

[0386] Of these five basic questions, questions 1 and 4 can often be answered with numbers, such as 25 square meters or a 10-minute walk. However, for the first basic question, some customers may prefer to answer with a room type. On the other hand, the second basic question is usually answered with something like, "I want a 1DK or 2DK apartment, with at least 8 tatami mats in size." Furthermore, the third basic question is often answered with something like, "I want as much storage space as possible." And the fifth basic question is often answered with an abstract statement such as, "I want to be close to a shopping street, but in a quiet environment."

[0387] For the first basic question, we ask for a numerical answer, for example. For the second basic item, if we receive an answer such as "2DK," we then ask a follow-up question such as, "Please select the size of the Western-style room in the 2DK and the furniture you would like to place in it from the image below."

[0388] An example of in-depth questioning in this case is shown in Figure 34. In this figure, images of a "6-tatami mat Western-style room," an "8-tatami mat Western-style room," a "10-tatami mat Western-style room," and a "12-tatami mat Western-style room" are displayed on the customer's terminal 40J along with several pieces of furniture. These images are defined by a callback process using a GUI, so these images function as control buttons, and the customer can select their preferred image by touching it with their finger. In other words, the customer can select a property while imagining the room that best suits their preferences. Upon receiving this selection, the system, specifically the second processor 10C (Figure 30), can recognize that the customer desires, for example, a larger 12-tatami mat Western-style room, even if it is still a 2DK apartment. This recognition result is ultimately shared with the sales staff through the survey results provided to them.

[0389] Furthermore, before being shown the four images in Figure 34, customers might have vaguely thought that they wanted at least one large room. However, after seeing these images, they can clearly realize that if they can fit this much furniture, they want a residence with a room similar to this 12-tatami mat Western-style room, even if it means sacrificing some space in other rooms. In other words, they realize what kind of room or residence they want and can visually grasp it as an image.

[0390] Furthermore, for the third basic question, as a follow-up question, images of "small size," "standard size," "large size," and "walk-in closet" storage spaces are displayed on the customer terminal 40J screen, as shown in Figure 35, and the customer is asked to select and answer in the same way. In this case as well, the customer and the system (sales staff) can share a common image regarding storage spaces.

[0391] Furthermore, for the fourth basic question, several videos and photographs showcasing aspects such as proximity to the shopping street, the atmosphere of the street, and the landscaping environment can be presented as optional follow-up questions. Of course, such visually-driven questions can be applied to items other than those mentioned above, such as the appearance of the door, the size and color of the bathtub, the bathtub including the shower, the size of the balcony including the windows, the materials and colors of the floor and walls, the floor plan, etc., and are suitable for items that are easy to visualize.

[0392] Furthermore, the image (visual) information such as photographs, images, and videos that can be used in follow-up questions may consist of at least one of these three types. For example, in a follow-up question asking respondents to select their preferred floor plan, multiple floor plans may be provided as images for selection.

[0393] Furthermore, when selecting based on visual image information in this in-depth questioning, the system may be configured to allow the user to select one or more images from a variety of displayed images. This allows the system to recognize that there is a range of customer preferences, facilitating the suggestion of suitable properties, as described later.

[0394] <Survey Processing> Returning to Figure 33, we will explain the implementation of the questionnaire, including the in-depth questions mentioned above, and the processing of the responses. This process is performed interactively by the second processor 10C (Figure 30) via the internet 4, for example, with the customer's terminal 40J located at home.

[0395] The customer works with the second processor 10C to download a survey application from a specified URL (Figure 33, step S701). The process is then passed to the customer terminal 40J. As a result of this download, the "Room Search Flow" shown in Figure 31 is displayed, followed by the hearing menu shown in Figure 32 (Figure 33, step S702).

[0396] Therefore, the customer determines from the terminal screen which menu has been selected: "In-depth Questionnaire (In-depth Interview)", "Simple Questionnaire (Simple Interview)", or "No Questionnaire (No Interview)" (Steps S704, S706, S708). If the In-depth Questionnaire is selected, the process involves displaying a screen explanation that the In-depth Questionnaire includes questions that require the selection of images or other visual elements (Step S710), and then executing the In-depth Questionnaire (Step S712). This process in Step S712 is shown as a subroutine in Figure 36 (described later).

[0397] Once the in-depth questionnaire is completed (step S714), processing is returned to the second processor 12C. The second processor 12C then generates and updates presentation materials for face-to-face meetings with the sales staff, based on the questionnaire results (the two types of questionnaires 1 and 2 described later) (step S716). These presentation materials are temporarily stored, for example, in RAM 10D, and then saved to the database 14 at an appropriate time (step S718).

[0398] On the other hand, if the customer selects that they do not need to complete the survey (step S706, YES), the system displays and stores information about the rental properties the customer is interested in, as well as a message requesting them to visit the store, such as "We can explain in more detail if you come to our store" (step S720), and then completes the process.

[0399] Furthermore, if the customer selects a short questionnaire (step S708, YES), the system displays pre-defined basic questions as part of the short questionnaire (step S722) and prompts the customer to answer them (step S724). The results of this questionnaire are recorded and stored in the customer's medical record, and presentation materials are created and updated (steps S726, S728), completing the process.

[0400] <Processing of in-depth questionnaires> As described above, if the process proceeds to an in-depth questionnaire, the process is executed in the steps outlined in Figure 36. Of course, this processing flow is just one example, and various modifications can be made within the scope of image information processing handled in this flow. This in-depth questionnaire is basically conducted locally by the customer terminal 40J, but if the image (visualization) information such as images, photographs, and videos described later is still stored in the server's database 14, the customer terminal 40J and the second processor 10C collaborate to conduct the questionnaire through communication processing via the Internet 4.

[0401] First, the customer's terminal 40J displays multiple questions (basic questions) from the in-depth questionnaire, grouped by categories such as "desired property" and "living environment" (step S790). As mentioned earlier, some of these basic questions can be easily answered by simply selecting letters or numbers, while others are easier to understand when answered with images (pictures, photos, videos).

[0402] Therefore, the CPU 40C of the customer's terminal 40J (hereinafter referred to as the terminal CPU) determines whether each basic question is accompanied by a follow-up question involving an image (image, photo, video) (step S742). If the determination is YES, the terminal CPU 40C reads the image data of the follow-up question involving an image from the database 14 (or RAM 10D) via the second processor 10C and displays it on the screen (step S744). As a result, as illustrated in Figures 34 and 35, buttons for images, photos, videos, etc. are displayed as selectable options, and the terminal CPU 40C prompts the user to select one of the image buttons and provide an answer (step S746).

[0403] After this, terminal CPU:40C responds to customer requests, such as wanting to see the questions again (step S750), and waits until a response is received (step S750). Once a response is received, terminal CPU:40C enters the response into "Questionnaire Result 1" (slap S752). Next, terminal CPU:40C repeats the process described in steps S740 to S752 until all questions displayed in step S740 have been answered (step S753). This Questionnaire Result 1 is transmitted from terminal 40J to the second processor 10C via the internet 4 (step S754). Here, Questionnaire Result 1 therefore shows the results of answering all items of the initially set in-depth questionnaire.

[0404] Once all questions and answers have been completed, the terminal CPU:40C asks the customer on the screen whether there are any points they are willing to compromise on regarding the answers they have entered in Questionnaire Result 1 (Step S755). For example, the customer may have initially wanted a rent of 80,000 yen, but after seeing images of room types, their imagination may expand, and they may decide to compromise on rent up to 110,000 yen if they can live in such a room. Similarly, they may decide to compromise on a 12-tatami mat 1DK room to an 8-tatami mat room if it is closer to the nearest station. If the customer then provides a compromise (which could also be called a second choice) (Step S756), they enter that compromise in "Questionnaire Result 2" (Steps S756, 758). Questionnaire Result 2 only lists the changes from the above-mentioned Questionnaire Result 1. Therefore, when sales staff look at the questionnaire results, the changes are immediately clear, making it effective for face-to-face presentations.

[0405] Thus, the rental property corresponding to the response in Survey Result 1 corresponds to the customer's first choice property, and the property listed in Survey Result 1 corresponds to the customer's second choice property.

[0406] On the other hand, if a question item (basic question and its follow-up question) does not have an image associated with it, the process determines whether or not it is a question item based on text information (step S764). If it is a question item based on text information (step S764, YES), the item is displayed on the screen and the user is asked to answer (steps S768, S770). This answer information is entered into the aforementioned questionnaire result 1 (step S772) and used to determine whether or not all items have been completed (step S753).

[0407] Furthermore, terminal CPU:40C determines whether there is an answer in the questionnaire from the customer requesting that the system operator provide suggestions regarding the content of that questionnaire (step S774). In other words, it determines whether the customer is seeking any advice or hints for consideration. If there is no such answer (step S774, NO), the process proceeds to the determination of whether all items have been completed as described above (step S753).

[0408] However, if the response is "We would like suggestions," then properties and advice that align with the suggestion request are collected from the database 14 via the second processor 10C, and from the inter-company distribution site 10 via the first processor 8C. This collected information is then entered into the questionnaire results 1 and added to the presentation materials (steps S778, S780). After that, the process is passed on to a determination of whether all items have been completed (step S753), and the aforementioned steps are repeated until all items have been answered.

[0409] <Presentation> Using the presentation materials completed in this manner, the sales staff will give a face-to-face presentation to the customer.

[0410] As a specific example, the sales staff operates the store computer 32 to retrieve presentation materials that have been created and saved up to that point from RAM 10D and database 14, and display them on the screen (Figure 37, step S790). The sales staff verbally confirms each item in the order it is written in the presentation materials, changes the content if there are any changes on the spot, and prompts for answers if there are any omissions, while providing explanations and updating the questionnaire results 1 and 2 as necessary (step S794).

[0411] Once this confirmation is complete, the sales staff extracts the first-choice rental property corresponding to survey result 1 and the second-choice rental property corresponding to survey result 2 from the database 14 and the inter-company distribution site 10 via the first processor 8C using the store computer 32 (step S796).

[0412] The first and second choice rental properties extracted in this manner are displayed on the store computer's display unit 38 and transmitted to and displayed on the customer's terminal 40J (or the store's tablet 40) (step S798). The subsequent processing flow is carried over to step S7 in Figure 4, as described above, and the same configuration and effects as those explained in Figure 4 can be achieved.

[0413] In the series of processes described above, step S701 functionally constructs the application download means, steps S701 and S702 functionally construct the questionnaire display means, steps S722, S724, S726, S750, S752, S770, and S772 functionally construct the questionnaire execution means, steps S724, S746, and S748 functionally construct the questionnaire response request means, steps S728 and S716 functionally construct the presentation material creation means, and step S754 functionally constructs the questionnaire result transmission means.

[0414] Furthermore, the series of processes in this fourth embodiment may be carried out by training the AI ​​model with various forms of AI (artificial intelligence) to identify the items and answers for in-depth questions, as described above, or by using an RPA (Robotic Process Automation) tool.

[0415] As a result, as outlined in Figure 38, when the customer runs the downloaded questionnaire application on their terminal 40J, the system automatically generates questionnaire result 1:QU1, which covers all the answers to the in-depth questionnaire, and questionnaire result 2:QU2, which reflects only the compromises made by the customer. Based on these questionnaire results 1:QU1 and QU2, the customer profile RE and desired properties are extracted (code BK), and information (including advice) aligned with the proposed solutions is collected (code CL) from the customer's response to the in-depth question, "I would like you to propose something" (code TA). Presentation materials PR are created from this extracted, created, and collected information. Using these presentation materials PR, sales staff give presentations to customers in person (or online meetings are also possible) (code MD).

[0416] Survey Result 1: QU1 includes responses to basic questions or follow-up questions using images (photos, pictures, videos, etc.). Therefore, as mentioned above, it is easier for sales staff (system side) and customers to share an overview of the rental property the customer is looking for as an image, and customers themselves can also easily grasp their vaguely held desires as a clear image. As a result, the probability that the rental property proposed by the system will match the customer's desired property increases, and consequently, the closing rate improves.

[0417] Furthermore, the in-depth questionnaire allows for face-to-face interviews using presentation materials that cover not only the experience level of the sales staff but also the so-called "thoughtful" questions that experienced sales staff would naturally ask. This enables a consistent and high level of interview quality, allowing for property guidance that minimizes personal bias. This results in more efficient buying, selling, leasing, and management of rental properties, not only for the store operators but also for the customers. In addition, this embodiment also allows for the enjoyment of various effects and benefits of the embodiments described above, and furthermore, as mentioned above, it is possible to improve the accuracy of responses to questionnaires regarding desired rental properties and provide guidance on rental properties with a higher matching rate.

[0418] Furthermore, the survey implementation method described in the fourth embodiment is not necessarily limited to rental properties. It may also apply to other properties such as condominiums or detached houses. Moreover, it can be applied not only to real estate but also to marketing surveys for other products and items. For example, a survey application including the aforementioned in-depth questions can be downloaded from the server to the consumer's or customer's terminal, targeting products and items in various fields such as daily necessities, vehicles, packaging, and clothing design. This survey includes in-depth questions, and at least one of these in-depth questions is accompanied by multiple options consisting of at least one of photos, images, and videos. Therefore, on the consumer's or customer's terminal, the application requests the customer to answer the downloaded and displayed survey for each predetermined item, and based on the customer's answers to the survey, it creates survey results regarding the consumer's or customer's preferred choices and returns them to the server. The server then uses these survey results for marketing purposes. In this case as well, since photos, images, and videos are used as options, consumers and customers can visually see the options, and survey results that are more reliable and engaging can be collected.

[0419] Furthermore, in the first to third embodiments and their variations described above, the real estate properties to which the sales, rental, and management support system is applied may be condominiums, detached houses, and other types of real estate properties, as long as the flow requires that a real estate office (or real estate company) searches for properties on behalf of customers from an inter-company distribution site and provides property explanations at the office.

[0420] Furthermore, including information regarding noise issues in the presentation materials will increase customer confidence. Therefore, it is desirable to include the following information in the presentation materials.

[0421] [Solutions to Noise Problems] 1. Consider the location: Choose a property that is far from main roads and railway lines. • Locations along main roads or near railway tracks may experience problems with traffic noise and the sound of passing trains. • How to check: Check the traffic volume and noise level in the surrounding area when viewing the property. Avoid areas near busy commercial districts. • In properties located near restaurants and entertainment facilities, late-night noise and pedestrian traffic can be a concern. • Support: We will explain the surrounding environment in advance using Google Maps and by conducting on-site checks.

[0422] 2. Check the building's structure: • Choose between reinforced concrete (RC) or steel-reinforced concrete (SRC). • The structure offers excellent sound insulation, making it difficult for sounds from adjacent rooms or floors above and below to be transmitted. • Be aware that wooden or light steel frame buildings tend to transmit sound easily. • Check the wall material. Even in RC structures, the walls may not be made of concrete. It is important to check the details. • Recommended: Reinforced concrete (RC) or steel-reinforced concrete (SRC), We recommend apartment-type accommodations that utilize soundproof walls. [Explanation of Symbols]

[0423] 2.2A Real Estate Property Buying, Selling, Leasing, and Management Support System (Real Estate Property Buying, Selling, Leasing, and Management Support System: Information Processing System) 4. Internet (communication network) 6. Dedicated Cloud for Stores (Companies) 8. First cloud server (first processing means) 10. Second cloud server (second processing means, questionnaire display means, questionnaire response guidance means, presentation material generation means, keyword detection means, additional information judgment means, presentation means, sales presentation request means) 12 AI Engines 14 Databases 14A, 14B, 14C: Storage area for images, photos, and videos in the database. 16 Inter-company distribution sites 18. Database (for sales staff) 22 Management Company 26 Advertising media providers 32, 34, 36 Real Estate Offices (Real Estate Companies) 32A, 32B, 36A Store Computers 40 tablets (for customers) 40J Customer terminal 40C Customer terminal CPU 60 Functionally structured Klein management systems (management department, management means) 61 Functionally structured property registration system (property registration unit, property registration means) 62 Functionally structured sales support system (Sales support department, sales support means: including property information conversion function) 63 Functionally structured CRM system (customer follow-up section, customer follow-up methods) 64 Functionally structured ledger management system (ledger management unit, ledger management means) 65 Functionally structured sales training systems (sales training department, sales training methods) 71 Questionnaire AI Processing Unit 72 Keyword AI Processing Unit AB1, AB2, AB3, AB5, AB6 AI Avatars AB4 AI Processing Unit,

Claims

1. Cloud servers (8, 10) are installed on a cloud (6) built on a communication network (4) and run computer programs related to the sale and management of rental properties handled by real estate offices (32, 34, 36), Store computers (32A, 34A, 36A) operated by the sales staff of the real estate stores (32, 34, 36) are installed in the real estate stores (32, 34, 36) and are connected to the cloud servers (8, 10) via the communication network (4), The system includes a terminal (40) that can be operated by customers who wish to rent real estate properties and is connected to the cloud server (8, 10) via the communication network (38) within the store (32, 34, 36) and the communication network (5), The aforementioned cloud servers (8, 10) A first processing means (8) that processes the information on the real estate property provided from the inter-company distribution site (16) for each of the real estate stores (32 (34, 36)), The system includes a first processing means (8) that receives information on the rental properties and stores it in a database (14), and a second processing means (10) that controls the exchange of information regarding the rental properties with each store computer (32A (34A, 36A)) and each real estate store (32 (34, 36)), The aforementioned terminal (40) is A questionnaire display means (S305) that displays a questionnaire on the screen containing personal information including the customer's name and specified items including the customer's desired conditions for rental properties, A means for guiding the customer to answer the questionnaire (S307, S308), Based on the responses to the aforementioned questionnaire, a presentation material generation means (S205, S207) automatically generates presentation materials that the sales staff will use to present to the customer, which are specific to the customer's profile, attributes, and / or personality. A real estate property sales, rental, and management support system characterized by having the following features (2).

2. The terminal is equipped with a microphone for capturing the customer's speech, The real estate property buying, selling, leasing, and management support system (2) according to claim 1, characterized in that the questionnaire response guidance means includes an AI avatar (AB5, S301) that responds to the customer's speech picked up via the microphone, displays an AI (artificial intelligence) virtual character on the terminal, and guides the customer on the terminal to answer the questionnaire.

3. The AI ​​avatar includes a keyword detection means that detects pre-set keywords from the utterance, The second cloud server (10) is Additional information determination means (S403, S405) that, when the keyword detection is detected, determines whether or not at least one of the following must be added to the customer presentation materials based on the keyword: further presentation, customer questions, and messages, When the additional information determination means determines that such addition is necessary, the presentation means adds at least one of the further presentation, the answers to the questions, and the message to the currently held presentation materials and presents them to the sales staff as presentation materials specific to the customer's profile, attributes, and / or personality. A sales presentation request means (S211) that requests the sales staff to give a presentation to the customer regarding the sale and management of rental properties based on the specific presentation materials, A real estate property buying, selling, leasing, and management support system (2) according to claim 2, characterized by comprising the above.

4. The real estate property buying, selling, leasing, and management support system (2) according to claim 3, characterized in that the AI ​​avatar (AB5) has an AI questionnaire processing unit responsible for guiding the customer to answer the questionnaire based on the customer's speech picked up via the microphone, and a keyword AI processing unit responsible for detecting the keywords.

5. The real estate property buying, selling, leasing, and management support system (2) according to claim 4, characterized in that the AI ​​avatar is configured to process at least one of the customer's profile, attributes, and personality using an AI model trained on the profile, attributes, and personality based on the keyword detected by the keyword AI processing unit, and to inform only the sales staff of at least one of the customer's profile, attributes, and personality via the store computer.

6. Cloud servers (8, 10) are installed on a cloud (6) built on a communication network (4) and run computer programs related to the sale and management of rental properties handled by real estate offices (32, 34, 36), Store computers (32A, 34A, 36A) operated by the sales staff of the real estate stores (32, 34, 36) are installed in the real estate stores (32, 34, 36) and are connected to the cloud servers (8, 10) via the communication network (4), An information processing method implemented in a system comprising a terminal (40) that can be operated by a customer who wishes to rent a real estate property and is connected to the cloud server (8, 10) via the communication network (38) within the store (32, 34, 36) and the communication network (5), The screen displays a questionnaire containing personal information including the customer's name and specified items including their desired rental property conditions. The customer is instructed to answer the aforementioned questionnaire. Based on the responses to the aforementioned questionnaire, the system automatically generates presentation materials that the sales staff will use to present to the customer, which are specific to the customer's profile, attributes, and / or personality. An information processing method characterized by the following:

7. Cloud servers (8, 10) are installed on a cloud (6) built on a communication network (4) and run computer programs related to the sale and management of rental properties handled by real estate offices (32, 34, 36), Store computers (32A, 34A, 36A) operated by the sales staff of the real estate stores (32, 34, 36) are installed in the real estate stores (32, 34, 36) and are connected to the cloud servers (8, 10) via the communication network (4), The system includes a terminal (40) that can be operated by customers who wish to rent real estate properties and is connected to the cloud server (8, 10) via the communication network (38) within the store (32, 34, 36) and the communication network (5), The aforementioned cloud servers (8, 10) A property information acquisition means (10, 8) that instantly obtains information on rental properties that meet the desired conditions of a customer who has visited the real estate office from the inter-company distribution site (16), Property information rewriting means (10) that rewrites the content of the property information acquired by the property information acquisition means according to a predetermined algorithm so that the number of high-quality responses increases when the property information is advertised, A posting means (10) for posting the property information, which has been rewritten by the property information rewriting means, to an advertising site, A real estate property buying, selling, leasing, and management support system characterized by the inclusion of the following features.

8. The real estate property sales, rental, and management support system according to claim 7, characterized in that the property information acquisition means and the property information rewriting means are configured to automatically include comments obtained by an AI model that has learned how to increase the number of high-quality responses, based on a questionnaire administered to a person who took a photograph of the rental property or registered the property, the registered contents of the property, and actual photographs of the property, as property features in the rewriting.

9. The aforementioned property information acquisition means and the aforementioned property information rewriting means decipher what facilities are available from the photographs of the registered rental property using an AI model equipped with image recognition capabilities, and if there is a missing entry in the facility items of the property, The real estate property sales, rental, and management support system is characterized in that it is configured to automatically include the decoded equipment information in the registration details of the property in question when rewriting the information.

10. The property information rewriting means has a function to check whether there are any registration errors or omissions in the registered information of the rental property, and to point out any such registration errors, as described in 7, a real estate property buying, selling, leasing, and management support system.

11. A real estate property buying, selling, leasing, and management support system according to 7, comprising: a video generation means for generating a video that explains the contents of the rental property acquired by the property information acquisition means, or the contents of the rental property rewritten by the property information rewriting means, with or without an avatar; and a video display means for displaying the video generated by the video generation means on the terminal.

12. The real estate property sales, rental, and management support system according to 7 is configured to perform AI processing on a category-by-category basis to determine whether the content of the rental property acquired by the property information acquisition means, or the content of the rental property rewritten by the property information rewriting means, is likely to increase the number of high-quality inquiries.

13. The aforementioned video is characterized in that it includes an introduction to the rental property, an introduction to the security equipment, a description of the shops around the property, a map showing the route from the nearest station to the property, and a description of the area where the property is located.

14. A real estate property sales, rental, and management support system according to 7, characterized in that it includes an additional means for automatically generating information from at least one of the photographs and floor plans of the rental property acquired by the property information acquisition means, regarding what facilities the property has and whether there are any omissions in the comments attached to the property, by using machine learning on those facilities and comments to automatically generate such facilities or comments and add them to the property if there are any omissions.

15. A real estate property buying, selling, leasing, and management support system, characterized in that it includes a photo determination means that processes the photographs of the property rewritten by the property information rewriting means or the photographs of the property posted by the posting means using an AI learning model that has learned how to take such photographs, and determines whether the photographs have been taken in a way that increases inquiries for each category of the property's facilities.

16. Cloud servers (8, 10) are installed on a cloud (6) built on a communication network (4) and run computer programs related to the sale and management of rental properties handled by real estate offices (32, 34, 36), Store computers (32A, 34A, 36A) operated by the sales staff of the real estate stores (32, 34, 36) are installed in the real estate stores (32, 34, 36) and are connected to the cloud servers (8, 10) via the communication network (4), The system includes an electronic terminal (40) that can be operated by customers who wish to rent real estate properties and is connected to the cloud server (8, 10) via the communication network (38) within the store (32, 34, 36) and the communication network (5), The aforementioned cloud servers (8, 10) A first processing means (8: first cloud server) that processes the information of the real estate properties provided from the inter-company distribution site (16) for each of the real estate stores (32 (34, 36)), The system includes a first information processing means (8) that receives information on the rental properties and stores it in a database (14), and a second processing means (10: second cloud server) that controls the exchange of information regarding the rental properties with each of the real estate stores (32 (34, 36)) between the first store computer (32A (34A, 36A)) and each of the real estate stores (32 (34, 36)), The aforementioned terminal (40) is A questionnaire display means that displays a questionnaire in a predetermined format on the screen, which includes personal information such as the customer's name and items for each candidate in order of preference for rental properties, A means of prompting the customer to fill out the questionnaire on the screen, The system includes a questionnaire information transmission means that transmits the contents information of the questionnaire filled out by the customer to the second processing means (10) via the store computers (32A (34A, 36A)), The second processing means (10) is, A survey information receiving means that receives the content information of the survey transmitted from the survey information transmitting means, A property information acquisition means that searches the inter-company distribution site according to the content information of the questionnaire received by the questionnaire information receiving means and obtains information on each candidate rental property according to the desired ranking, A property information acquisition means provides a means for transmitting information about rental properties acquired by the property information acquisition means to each store computer (32A (34A, 36A)) and the terminal (40) for display, A real estate property buying, selling, leasing, and management support system characterized by the inclusion of the following features.

17. The candidates in line with the aforementioned preference order are the first, second, and third candidates for the desired rental property, The real estate property buying, selling, leasing, and management support system according to claim 16, characterized in that the terminal is provided with a viewing means that makes the rental real estate properties of the first candidate, second candidate, and third candidate available to the customer for viewing, together with the property information transmitted by the acquired property transmission means.

18. The real estate property sales, rental, and management support system according to claim 17, characterized in that the property information includes at least one of the following for each property: a drawing for the property, a Google Maps link, a Navitime link, a hazard map, the property location, the surrounding environment of the property including Google Maps and Street View, a school district confirmation site, and an area comment, wherein the area comment includes the nearest station to the property, and the content of the comment includes regional characteristics, shopping facility information, public facilities including parks, and public safety information.

19. The second processing means (10) includes a processing unit equipped with an AI (artificial intelligence) model, This processing unit causes the AI ​​model to learn the customer's profile, attributes, and / or personality, as well as the correspondence based on the content of those attributes. The AI ​​model is configured to input the contents of the questionnaire, and, based on the customer record filled out by the sales staff through interviews with the customer, the processing unit is configured to use the AI ​​to determine the customer's profile, attributes, and / or personality. If an additional presentation is needed to indicate an individual response for the customer, the system is configured to provide advice to the customer based on the additional presentation, along with the basic presentation. A real estate property buying, selling, leasing, and management support system as described in feature 16.

20. The system has an area introduction means that, when the customer specifies the area of ​​the property on the terminal during a hearing with the sales staff at the store, causes the sales AI avatar to introduce that area. The introduction to the aforementioned area includes at least one of the following: "Map of the actual location," "Street View," "Nearby facilities," "Nearby parking," "Nearby hazard map," "School district confirmation," "Estimated initial costs and estimated running costs," and "Regional description." The aforementioned regional descriptions cover areas within a specified distance from the nearest station or within administrative units of municipalities. The information presented includes regional characteristics, public facilities, shopping facilities, and public safety conditions, collected either by sales staff who have personally visited and gathered data beforehand, or by using autonomous vehicles. A real estate property buying, selling, leasing, and management support system as described in feature 19.

21. The real estate property buying, selling, leasing, and management support system according to claim 20, characterized in that the area introduction means is configured to have a generating AI collect information about the area based on the property's address and then have the sales avatar introduce it.

22. The real estate property sales, rental, and management support system according to claim 20, characterized in that the area introduction means has a URL transmission function that makes the property and the area simultaneously viewable by people outside the system.

23. The aforementioned customer, while viewing an actual rental property, has a means of providing area information on the terminal, which allows the customer to specify the area they are currently in and have a sales AI avatar provide information about that area. The real estate property sales, rental, and management support system according to item 19, characterized in that the aforementioned area is within a specified distance from the nearest station or within an administrative unit of each city or town, and the information to be introduced is information including regional characteristics, public facilities, shopping facilities, and public safety conditions, which is collected in advance by sales staff by actually visiting and collecting the area, or by driving an autonomous vehicle.

24. The real estate property sales, rental, and management support system according to claim 23, characterized in that the area introduction means is configured to detect the current customer's address based on GPS (Global Positioning System) radio wave data, and to have a generating AI generate information about the area based on the property's address and then have the sales avatar introduce it.

25. The real estate property buying, selling, leasing, and management support system according to claim 16, further comprising: narrowing down the candidate properties from the customer's preferred order to properties to be actually visited on-site; further narrowing down the final candidate properties by actually visiting these narrowed-down properties on-site; having the customer score each item of these final candidate properties; and finally having an AI equipped with an AI model that has been trained using the property information, the customer's desired conditions, and the scored information as labeling elements, determine which of these final candidate properties is the best property.

26. The real estate property sales, leasing, and management support system according to claim 25, characterized in that it includes an AI processing means that evaluates the state of customer service provided by the sales staff to customers visiting the real estate office, using an AI (artificial intelligence) learning model that has learned the customer service, from the perspective of whether the property presentation given to the customer was based at least on the basic presentation and the additional presentation.

27. Cloud servers (8, 10) are installed on a cloud (6) built on a communication network (4) and run computer programs related to the sale and management of rental properties handled by real estate offices (32, 34, 36), Store computers (32A, 34A, 36A) operated by the sales staff of the real estate stores (32, 34, 36) are installed in the real estate stores (32, 34, 36) and are connected to the cloud servers (8, 10) via the communication network (4), The system includes an electronic terminal (40) that can be operated by customers who wish to rent real estate properties and is connected to the cloud server (8, 10) via the communication network (38) within the store (32, 34, 36) and the communication network (5), In a sales, rental, and management support system for selling rental properties that meet the customer's desired conditions to a customer who visits the aforementioned real estate office, A sales, rental, and management support system characterized by providing a training method for the aforementioned sales staff to practice selling rental properties in a role-playing format with an interactive AI avatar that simulates the aforementioned customer.

28. The training means includes an AI avatar generation means that generates multiple interactive AI avatars that simulate multiple types of profiles, attributes, and personalities that are assumed to be those of the customer, as the AI ​​avatars. The sales staff member displays a designated AI avatar from among several types of AI avatars on their terminal, practices customer service for selling properties through the aforementioned dialogue, and the system is configured to evaluate the quality of that customer service using AI processing, as described in claim 27.

29. The sales, rental, and management support system according to claim 27, characterized in that the training means is configured to run a selection quiz game with the AI ​​avatar, which assumes multiple types of customer profiles, attributes, and personalities.

30. Cloud servers (8, 10) are installed on a cloud (6) built on a communication network (4) and run computer programs related to the sale and management of rental properties handled by real estate offices (32, 34, 36), Store computers (32A, 34A, 36A) operated by the sales staff of the real estate stores (32, 34, 36) are installed in the real estate stores (32, 34, 36) and are connected to the cloud servers (8, 10) via the communication network (4), In a real estate property sales, rental, and management support system (2) that is operable by customers who wish to rent real estate properties and is connected to the cloud server (8, 10) via the communication network (38) within the store (32, 34, 36) and the communication network (5), The second cloud server is a real estate property sales, rental, and management support system (2) characterized by comprising a matching means (10J) configured to allow the real estate store and its sales staff participating in the sales, rental, and management support system to exchange job-seeking or recruitment conditions between the sales staff who wish to change jobs to another store and the other store, and only when an agreement is reached, to view the sales and management performance data of the job seeker or the other store's rental properties stored in the system, and to allow job-seeking or recruitment activities after this viewing.

31. Cloud servers (8, 10) are installed on a cloud (6) built on a communication network (4) and run computer programs related to the sale and management of rental properties handled by real estate offices (32, 34, 36), Store computers (32A, 34A, 36A) operated by the sales staff of the real estate stores (32, 34, 36) are installed in the real estate stores (32, 34, 36) and are connected to the cloud servers (8, 10) via the communication network (4), The system includes a terminal (40) that can be operated by customers who wish to rent real estate properties and is connected to the cloud server (8, 10) via the communication network (38) within the store (32, 34, 36) and the communication network (5), The aforementioned cloud servers (8, 10) A first processing means (8) that processes the information on the real estate property provided from the inter-company distribution site (16) for each of the real estate stores (32 (34, 36)), The system includes a first processing means (8) that receives information on the rental properties and stores it in a database (14), and a second processing means (10) that controls the exchange of information regarding the rental properties with each store computer (32A (34A, 36A)) and each real estate store (32 (34, 36)), The aforementioned terminal (40) is A questionnaire display means (S305) that displays a questionnaire on the screen containing personal information including the customer's name and specified items including the customer's desired conditions for rental properties, A means for guiding the customer to answer the questionnaire (S307, S308), Based on the responses to the aforementioned questionnaire, a presentation material generation means (S205, S207) automatically generates presentation materials that are specific to the customer's profile, attributes, and / or personality, which the sales staff will use to present to the customer. An information processing device characterized by having the following features.

32. A cloud server, installed on a cloud built on a communication network, performs the sales and management of rental properties handled by real estate offices, A store computer operated by the sales staff of the real estate office, which is installed in the real estate office and is connected to the cloud server via the communication network, The system includes a terminal that can be operated by customers who wish to rent real estate properties, and which is connected to the cloud server via the communication network within the store and the communication network, In the system, the cloud server is controlled by having a computer located on the cloud server and functionally performing the sales and management read and execute a program pre-stored on a non-transient recording medium, The real estate property information provided from the inter-company distribution site (16) is processed for each of the real estate stores (32 (34, 36)), The first processing means (8) receives information on the rental properties and stores it in the database (14), and controls the exchange of information regarding the rental properties with each store computer (32A (34A, 36A)) at each real estate store (32 (34, 36)). The terminal (40) displays a questionnaire containing personal information including the customer's name and specified items including the customer's desired conditions for rental properties. The customer is instructed to answer the aforementioned questionnaire. Based on the responses to the aforementioned questionnaire, the system automatically generates presentation materials that the sales staff will use to present to the customer, which are specific to the customer's profile, attributes, and / or personality. A computer program characterized by being designed to function in a certain way.

33. Cloud servers (8, 10) are installed on a cloud (6) built on a communication network (4) and perform processing related to the sale and management of rental properties handled by real estate offices (32, 34, 36), Store computers (32A, 34A, 36A) operated by the sales staff of the real estate stores (32, 34, 36) are installed in the real estate stores (32, 34, 36) and are connected to the cloud servers (8, 10) via the communication network (4), The system includes a terminal (40) that can be operated by customers who wish to rent real estate properties and is connected to the cloud server (8, 10) via the communication network (38) within the store (32, 34, 36) and the communication network (5), The aforementioned cloud servers (8, 10) A first processing means (8) that processes the information on the real estate property provided from the inter-company distribution site (16) for each of the real estate stores (32 (34, 36)), The system includes a first processing means (8) that receives information on the rental properties and stores it in a database (14), and a second processing means (10) that controls the exchange of information regarding the rental properties with each store computer (32A (34A, 36A)) and each real estate store (32 (34, 36)), The second processing means (10) is, The terminal displays a questionnaire on its screen, which includes personal information such as the customer's name and several predetermined items such as desired conditions for rental properties, and a question that delves deeper into the content of at least one of the predetermined items. The questionnaire display means also displays multiple options on the terminal, each consisting of at least one of photographs, images, and videos, for at least one of the question that delves deeper into the content of the predetermined item. The aforementioned terminal (40) is A means for requesting responses to the aforementioned customer via the terminal, which requests the customer to answer the aforementioned questionnaire for each of the predetermined items, The system includes a survey execution means that generates survey results regarding the customer's preferences for rental properties based on the customer's responses to the aforementioned survey, The second processing means (40) is, The system includes a presentation material generation means that automatically generates presentation materials specific to the customer's profile, attributes, and / or personality, based on the customer's responses to the aforementioned questionnaire, which the sales staff will use to present to the customer. A real estate property buying, selling, leasing, and management support system (2A) characterized by the following.

34. It is installed on a cloud (6) built on a communication network (4) and is equipped with cloud servers (8, 10) that perform processing related to the sale and management of rental properties handled by real estate offices (32, 34, 36), The aforementioned cloud servers (8, 10) A first processing means (8) that processes the information on the real estate property provided from the inter-company distribution site (16) for each of the real estate stores (32 (34, 36)), The system includes a first processing means (8) that receives information on the rental properties and stores it in a database (14), and a second processing means (10) that controls the exchange of information regarding the rental properties with each store computer (32A (34A, 36A)) and each real estate store (32 (34, 36)), The second processing means (10) is, An application download means that downloads an application to the terminal (40J) of a customer who wishes to rent a property, and displays it on the customer's terminal (40J), which contains personal information including the customer's name and several predetermined items including the customer's desired conditions for the rental property, and a questionnaire attached to it that includes a question that prompts the customer to select one or more from several visual images in order to delve deeper into the content of at least one of the predetermined items. The system includes a presentation material generation means that automatically generates presentation materials specific to the customer's profile, attributes, and / or personality, based on the customer's responses to the aforementioned questionnaire, which the sales staff will use to present to the customer. The customer's terminal is, A survey response request means that requests the customer to answer the survey for each predetermined item, which has been downloaded using the aforementioned app download means and displayed on the device, A survey execution means that, based on the customer's response to the aforementioned survey, creates a survey result regarding the customer's preferences for the aforementioned rental property and sends it to the second processing means via the communication network, A real estate property sales, rental, and management support system (2A) characterized by having the following features.

35. The real estate property sales, rental, and management support system (2A) according to 34, characterized in that the application download means allows the customer to download the questionnaire, and the questionnaire includes, as options for how the customer can answer the questionnaire, an "in-depth questionnaire" which includes the in-depth questions, a "simple questionnaire" which only includes questions that do not include the in-depth questions, and a "no questionnaire required" which allows the customer to communicate their preferences for rental properties without answering the questionnaire.

36. The real estate property buying, selling, leasing, and management support system (2A) according to claim 34, characterized in that it includes a means for creating a medical record concerning the customer's profile, attributes, and / or personality based on the customer's responses to the aforementioned questionnaire.

37. The real estate property buying, selling, leasing, and management support system (2A) according to claim 34, wherein the questionnaire execution means is configured to produce a first questionnaire result in which the answers to all items described in the in-depth questionnaire or the simple questionnaire are recorded, and a second questionnaire result in which only the desired conditions that the customer compromised on from the first questionnaire result are recorded.

38. A real estate property buying, selling, leasing, and management support system (2A) according to any one of claims 34 to 37, characterized in that at least one of the aforementioned in-depth items is configured to display a photograph, image, or video as an option on the terminal.

39. A computer program, pre-stored on a non-temporary recording medium, that causes the application download means, the questionnaire response request means, the questionnaire result creation means, and the presentation material generation means to be functionally constructed in the second processing means, which is a computer, in relation to the customer's terminal, in connection with the customer's terminal, in a real estate property buying, selling, leasing, and management support system (2) according to any one of claims 34 to 37.

40. It is installed on a cloud (6) built on a communication network (4) and is equipped with cloud servers (8, 10) that perform processing related to the sale and management of rental properties handled by real estate offices (32, 34, 36), The aforementioned cloud servers (8, 10) A first processing means (8) that processes the information on the real estate property provided from the inter-company distribution site (16) for each of the real estate stores (32 (34, 36)), An information processing method executed in a system comprising: a first processing means (8) that receives information on the rental property and stores it in a database (14); and a second processing means (10) that controls the exchange of information regarding the rental property with each store computer (32A (34A, 36A)) of each real estate store (32 (34, 36)); The second processing means (10) is, The application is downloaded via the communication network to the terminal (40J) of a customer who wishes to rent the aforementioned real estate property, and displayed on the customer's terminal. The application includes personal information including the customer's name and several predetermined items including the customer's desired conditions for the rental property, and at least one of the follow-up questions for at least one of the predetermined items has multiple options consisting of at least one of photos, images, and videos. Based on the customer's responses to the aforementioned questionnaire, the system automatically generates presentation materials specific to the customer's profile, attributes, and / or personality, which the sales staff will use to present to the customer. The customer's terminal is, The customer is requested to answer the questionnaire, which has been downloaded and displayed on the device, for each of the predetermined items. Based on the customer's response to the aforementioned questionnaire, the results of a questionnaire regarding the customer's preferences for the aforementioned rental property are created and sent to the second processing means via the communication network. A distinctive information processing method.

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