Real estate property selling / buying / renting / management support system, information processing device, information processing method, and computer program

Abstract

To provide a system capable of supporting the business of a store selling rental real estate properties without depending on the experience or skill of a person in charge of business.SOLUTION: A shop computer 32A operated by a sales staff of a real estate shop is connected to a cloud sever which is installed in a cloud constructed on a communication network and executes a computer program related to sales and management of a rental real estate property handled in the real estate shop. In a real estate store, a customer operates a terminal 40 communicably connected to a cloud server. The cloud servers learn the attributes of the customers and the correspondence according to the contents of the attributes in an AI (AI) model. A AI model is made to judge the type and attributes of the customer from a customer chart based on questionnaires answering AI questions on terminals, and when an additional presentation showing individual correspondence to the customer is required, advice is given to the customer on the basis of the additional presentation together with a basic presentation.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a sales, rental and management support system that supports operations related to the sales, rental and management of real estate properties, and in particular to a sales, rental and management support system that comprehensively covers property listings at real estate stores (companies) that sell rental real estate properties, customer service (sales), CRM (Customer Relationship Management), ledger management that manages the sales performance of sales staff, and even the training of sales staff. [Background technology]

[0002] In recent years, the real estate transaction industry has increasingly made use of IT, including communication networks and computers. Among these, the use of IT has become essential in the sale of rental real estate properties such as rental apartments and condominiums, i.e., in the process of entering into rental contracts with customers.

[0003] Even in such rental property transactions, the principles of the various processes (procedures, procedures) that real estate stores aim for until the rental contract is concluded have not fundamentally changed from the past. In other words, an example flow of advertising a rental property, inquiry, visit, property search, property introduction, property viewing, contract, and after-sales support has not changed in principle even now, despite the advancement of digitalization and IT, as long as it is a home where people live, and there are individual preferences for each person.

[0004] In order to increase sales, rental real estate stores use advertising media to increase the number of responses, such as inquiries and visits, and to improve the quality of those responses.However, the real estate industry is also experiencing a labor shortage, which means longer working hours and in-house (store) sales training is not always sufficient, so it is said that there is room for bold improvement in the quality of sales, which is directly linked to sales ability.

[0005] Sales quality refers to the knowledge required for the rental industry (legal knowledge as well as a wide range of knowledge, such as knowledge of financial troubles, so that one can deal with an unspecified number of customers), the ability to listen and extract the necessary information without discouraging the customer, the ability to propose rental properties to customers with various requirements while balancing the efficiency that the store seeks, and even the ability to close the deal with the customer. If this sales quality is lacking, the closing rate will be low, sales will not be efficient, and store sales will not increase, which is thought to be one of the factors behind the depressed mood in the rental real estate trading industry.

[0006] In this industry situation, various IT-related systems have been proposed in terms of patents. Of course, many of these patented systems have been put into practice and are contributing to alleviating labor shortages and improving efficiency, and we see them often in our daily lives.

[0007] Here are some of the various patent documents proposing the above-mentioned IT adoption: Patent Document 1 discloses an example of using the Internet to enable easy and accurate searches and applications for rental housing properties, and Patent Document 2 similarly exemplifies a housing rental system that allows tenants to access an Internet database in real time to find rental housing properties that meet their desired conditions.

[0008] Patent document 3 also exemplifies an information exchange system for real estate properties for rent or sale, in which property information is stored in memory and the stored contents can be transmitted via the Internet to customers who are planning to rent or purchase.When a customer inputs application condition information for a real estate property they plan to rent or purchase, the computer compares the property information stored in the memory with the input application condition information, and if there is any matching property information, it transmits that property information to the customer.

[0009] Patent document 4 also exemplifies a method for creating a database of information about rental real estate properties and each room, making it displayable on the Internet, and displaying the URL address on the property, as well as a system for notifying users of available rooms in rental real estate properties.

[0010] Similarly, Patent Document 5 illustrates a computer system for assisting in the decision to purchase or rent a real estate property, and in particular identifies real estate properties that meet search criteria, and the real estate properties are provided with a service for assisting in the decision to purchase or rent one or more of the identified real estate properties.

[0011] Furthermore, Patent Document 6 exemplifies a property search system equipped with a computing device using AI (artificial intelligence) for efficient and accurate real estate property searches, regardless of the skills and experience of the salesperson. This system is configured to store sales information, purchase information, and transaction information for real estate properties, and to perform the following operations: (1) defining pairs of sales information and purchase information indicated in the transaction information as positive example training data; (2) 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; (3) defining pairs of purchase information and sales information for which the desired conditions are included in the range of difference and the transaction was not concluded as negative example training data; and (4) performing machine learning based on the positive example training data and the negative example training data to generate a real estate transaction probability model. According to one aspect 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 are expressed in natural language and can be interpreted in multiple ways, the system can efficiently convert them into appropriate search conditions. This enables more efficient and accurate real estate property searches, regardless of the skills and experience of the salesperson.

[0012] Patent Document 7 exemplifies a property information distribution system for efficiently generating and effectively distributing introductory videos that introduce real estate properties.

[0013] Meanwhile, Patent Document 8 proposes a method for collecting customer information using a questionnaire as a method for attracting customers. Specifically, personal information, motivations for participation, intentions, trends, etc. of participants in various events such as real estate fairs are efficiently collected, analyzed, and managed through a questionnaire on a touch panel. In other words, the results of the questionnaire are stored in memory by a computer, and are edited, processed, and analyzed in a predetermined format, so that the information can be effectively used for sales, etc.

[0014] In addition, as an example of a system that also performs credit management, Patent Document 9 illustrates a system that utilizes a communication network such as the Internet to present information about rental properties and the interior conditions of the properties to customers on their terminals or the terminals of the real estate agents who are recruiting customers, and is configured to quickly provide management companies with a credit rating that serves as an indicator of the customer's creditworthiness.

[0015] Furthermore, Patent Document 10 exemplifies sales support when a sales representative explains a product to a customer in a sales situation such as insurance. According to this example, machine learning is performed to determine the relationship between information obtained during an interview with a customer and topics or questions corresponding to the sales objective. The information obtained during the interview with the customer is applied to the machine-learned model to generate questions for the customer. The generated questions are presented to the customer during the interview, and the topics discussed during the interview are presented in chronological order along with the elapsed time of the interview based on the information obtained during the interview. This provides support so that both the sales representative and the customer can be satisfied with the explanation of the desired insurance product, etc. [Prior art documents] [Patent documents]

[0016] [Patent Document 1] Patent Publication No. 2001-357118 [Patent Document 2] Patent Publication No. 2002-32458 [Patent Document 3] Patent Publication No. 2002-41885 [Patent Document 4] Patent Publication No. 2003-196367 [Patent Document 5] Patent Publication No. 2019-145078 [Patent Document 6] Patent No. 7092695 [Patent Document 7] Patent No. 7482300 [Patent Document 8] Patent Publication No. 2002-99697 [Patent Document 9] Patent Publication No. 2003-228613 [Patent Document 10] Patent No. 7458679 Summary of the Invention [Problem to be solved by the invention]

[0017] However, none of the above Patent Documents 1 to 10 have yet provided a system that is best for both customers and real estate stores, which can narrow down candidate properties that meet the customer's desired conditions during face-to-face meetings between customers and sales staff prior to a preview (viewing) at a real estate store (real estate company) for real estate properties, particularly rental real estate properties such as rental appointments and rental apartments, while maintaining high customer satisfaction during the narrowing down process and allowing the real estate store to efficiently close the deal with minimal risk of the deal not being concluded.

[0018] In particular, even if the communication method between sales representatives and customers illustrated in Patent Document 10 is applied to rental real estate properties, the gist of the method is that questions are generated using a trained machine learning model so that sales negotiations with customers can proceed smoothly. In other words, even if good questions are generated, it is not always possible to know how the customer will respond or the attributes of that customer in a timely manner, and it is unlikely that the above-mentioned conventional inconveniences will be resolved.

[0019] For this reason, traditional property search systems often utilize networked databases or digitized property application forms. Since viewing real estate properties, not just rental properties, is essential for many real estate properties, customers must meet face-to-face with a sales representative at the real estate store. This process typically takes several hours for each customer: from a customer's property inquiry to a search for properties that meet the customer's desired criteria (known as "listing"), narrowing down the searched properties to potential properties for viewing, conducting on-site inspections, deciding on the final candidate, applying for the property, and then proceeding to the screening process. For this reason, traditionally, even if some of these tasks (steps and procedures) at many real estate stores are performed using IT, most of them are performed manually, relying on the experience and intuition of sales representatives.

[0020] For this reason, even if a deal is moving all the way to closing, if the salesperson fails to hear the customer's desired conditions or the customer's true intentions hidden therein, or if the salesperson is unable to respond effectively to the customer's questions, the closing often fails and the deal is not concluded. For example, even if the customer's superficial request is, for example, "I want an apartment that looks like an old Japanese house," the customer's true intention may be hidden within a desire for "low rent" and that it is okay for the apartment to be a little small and close to the station. In addition to the usual questions about rental properties, the customer questions mentioned above also include unusual questions such as, "I want an apartment with a view of Mt. Fuji, but is the neighboring land in that direction in an area where high-rise buildings are permitted?"

[0021] On the other hand, if a customer has a history of financial troubles and does not pass the screening, it will be a waste of time spent on sales and a loss of commission for both the customer and the store, which will be a major factor in reducing sales efficiency. Of course, this will also be detrimental to maintaining the incentives of sales representatives.

[0022] In addition, even if you carefully follow the above steps, the client may not fully agree with the candidate property. In such cases, the closing may be insufficient, and the deal may not be concluded, and the transaction may be put on hold or the application may be canceled at a later date. In such cases, as mentioned above, this will lead to wasted business hours and poor sales performance.

[0023] Therefore, the first object of the present invention is to provide a system that can support sales so that sales are efficient and with little waste, while satisfying both the goals of improving matching with customer requirements and ensuring sales performance for the store, without relying largely on the experience and skills of the sales staff at the store selling real estate properties.

[0024] The second object of the present invention is to provide a system that can support sales activities to ensure efficient sales with minimal waste, independently of or in combination with the first object described above, by providing various related information that a customer may need when searching for a real estate property that meets the customer's desired conditions, thereby satisfying both the goals of improving matching to the customer's desired conditions and ensuring sales performance for the store.

[0025] Furthermore, the third object of the present invention is to provide a system that can support sales so that sales are efficient and with less waste, independently of or in combination with the first and second objects described above, by improving the accuracy of customer follow-up and satisfying both the goals of improving matching with customer requirements and ensuring store sales performance.

[0026] Furthermore, the fourth object of the present invention is to provide a system that is a total and unified system for managing sales staff ledgers related to deals, sales, etc., and for training, either independently of or in combination with the first to third objects described above. [Means for solving the problem]

[0027] In order to achieve the above object, according to one aspect of the present invention, Cloud servers (8, 10) are installed in a cloud (6) built on a communication network (4) and run computer programs related to the sales and management of rental real estate properties handled by real estate stores (32, 34, 36); store computers (32A, 34A, 36A) installed in the real estate stores (32, 34, 36), communicably connected to the cloud servers (8, 10) via the communication network (4), and operated by sales staff of the real estate stores; an electronic terminal (40) operable by a customer who desires a rental real estate property and communicably connected to the cloud server (8, 10) via a communication network (38) within the store (32, 34, 36) and the communication network (5); The cloud server (8, 10) a first information processing means (8: first cloud server) for processing 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)); and a second information processing means (10: second cloud server) that receives information about the rental real estate property from the first information processing means (8) and stores it in a database (14), and controls the exchange of information about the rental real estate property between each of the store computers (32A (34A, 36A)) and each of the real estate stores (32 (34, 36)), The terminal (40) a questionnaire display means for displaying a questionnaire in a predetermined format on a screen, the questionnaire including personal information including the customer's name and desired conditions for the rental real estate property; a questionnaire entry prompting means for prompting the customer to fill out the questionnaire on a screen; a questionnaire information transmitting means for transmitting content information of the questionnaire filled out by the customer to the second information processing means (10) via the store computers (32A (34A, 36A)), The second information processing means (10) a survey information receiving means for receiving the survey content information transmitted from the survey information transmitting means; a property information acquisition means for searching the database (14) according to the content information of the questionnaire received by the questionnaire information receiving means, and acquiring information on rental real estate properties that meet the desired conditions; an acquired property transmitting means (10) for transmitting the information on the rental real estate property acquired by the property information acquiring means to each store computer (32A (34A, 36A)) and the terminal (40); attribute determination means (10) for determining attributes, which are characteristics of the customer, from the content information of the questionnaire received by the questionnaire information receiving means; a selective transmission means for transmitting information relating to the attributes of the customer determined by the attribute determination means or information generated from the attributes to both the store computers (32A (34A, 36A)) and the terminal (40) or selectively to the store computers (32A (34A, 36A)) and the terminal (40) in accordance with the contents of the attributes of the customer determined by the attribute determination means; A real estate property buying, selling, renting and management support system (2) is provided, which is characterized by comprising:

[0028] According to another aspect, Cloud servers (8, 10) are installed in a cloud (6) built on a communication network (4) and run computer programs related to the sales and management of rental real estate properties handled by real estate stores (32, 34, 36); store computers (32A, 34A, 36A) installed in the real estate stores (32, 34, 36), communicably connected to the cloud servers (8, 10) via the communication network (4), and operated by sales staff of the real estate stores; a terminal (40) operable by a customer who desires to purchase a rental real estate property and communicably connected to the cloud server (8, 10) via a communication network (38) within the store (32, 34, 36) and the communication network (5); The cloud server (8, 10) a property information acquisition means (10, 8) for instantly acquiring information on rental real estate properties that meet the desired conditions of customers who visit the real estate store from the inter-company distribution site (16); a property information rewriting means (10) for rewriting the content of the property information acquired by the property information acquisition means in accordance with a predetermined algorithm so as to increase the number of high-quality responses when advertising the property information; an advertisement posting means (10) for posting the property information rewritten by the property information rewriting means on an advertising site; A real estate property buying, selling, renting and management support system (2) is provided, which is characterized by comprising:

[0029] According to yet another aspect, Cloud servers (8, 10) are installed in a cloud (6) built on a communication network (4) and run computer programs related to the sales and management of rental real estate properties handled by real estate stores (32, 34, 36); store computers (32A, 34A, 36A) installed in the real estate stores (32, 34, 36), communicably connected to the cloud servers (8, 10) via the communication network (4), and operated by sales staff of the real estate stores; a terminal (40) operable by a customer who desires to purchase a rental real estate property and communicably connected to the cloud server (8, 10) via a communication network (38) within the store (32, 34, 36) and the communication network (5); The cloud server (8, 10) a property information acquisition means (8, 10) for acquiring information on rental real estate properties that meet the desired conditions of customers who visit the real estate store from the inter-company distribution site (16); an advertisement posting means (10) for posting the property information acquired by the property acquisition means on an advertising site; and a follow-up execution means (10) for operating a CRM (customer relationship management) system in response to an inquiry from a customer who has viewed the advertising site, and following up on the customer; The following means (10) First, a query means for sending a thank you email from the representative of the real estate store to the inter-company distribution site to inquire about the rental real estate property of the inquiry; a representative AI avatar video creation means for creating an AI avatar video of the representative with audio, which informs the status of the rental real estate property according to the inquiry result; a first video sending means for sending the AI ​​avatar video created by the representative AI avatar video creation means to the customer who made the inquiry as first follow-up information; A real estate property buying, selling, renting and management support system (2) is provided, which is characterized by comprising:

[0030] Other various configurations and their functions and effects, including the ledger management system and sales training system, according to the present invention will become apparent from the description of the embodiments given in conjunction with the accompanying drawings. [Brief explanation of the drawings]

[0031] In the accompanying drawings: [Figure 1] 1 is a block diagram showing a schematic configuration of a real estate property buying, selling, leasing and management support system according to a first embodiment. [Figure 2] FIG. 2 is a block diagram showing in more detail the configuration shown in FIG. [Figure 3] 1 is a flowchart illustrating an example of the flow of operations (procedures) executed from when a customer (client) enters a real estate store (real estate company) until when he or she leaves the store. [Figure 4] FIG. 1 is an explanatory diagram illustrating various systems functionally provided by processing executed by a cloud server in a cloud. [Figure 5] FIG. 10 is an explanatory diagram illustrating an example of a screen displayed on a store computer when a sales staff member logs in to the store. [Figure 6] FIG. 1 is a diagram illustrating the function of a personal ID in this system. [Figure 7] FIG. 10 is a diagram illustrating an example of a screen displayed after logging in to a store computer. [Figure 8] FIG. 10 is an explanatory diagram illustrating a procedure for an example of property registration using lines of action between elements. [Figure 9]FIG. 10 is an explanatory diagram illustrating a procedure for exchanging property information when registering a property, using lines of action between elements. [Figure 10] FIG. 1 is an explanatory diagram illustrating a procedure flow relating to an example of the function of a sales support system using lines of action between elements. [Figure 11] FIG. 10 is a diagram illustrating an example of a screen displayed on a store computer. [Figure 12] FIG. 10 is a diagram illustrating an example of a screen displayed on a tablet viewed by a customer. [Figure 13] FIG. 10 is a diagram illustrating another example of a screen displayed on a tablet viewed by a customer. [Figure 14] FIG. 10 is a diagram illustrating another example of a screen displayed on a tablet viewed by a customer. [Figure 15] FIG. 10 is a diagram illustrating another example of a screen displayed on a tablet viewed by a customer. [Figure 16] FIG. 10 is a diagram illustrating another example of a screen displayed on a tablet viewed by a customer. [Figure 17] As part of our sales support, this is an explanatory diagram that explains how to add equipment items and comments based on photos and floor plans. [Figure 18] This is an explanatory diagram that explains the flow of procedures related to customer follow-up operations using CRM using lines of action between elements. [Figure 19] FIG. 10 is an explanatory diagram illustrating the flow of a procedure relating to an example of automatic generation of a property AI avatar video according to a second embodiment, using lines of action between elements. [Figure 20] FIG. 10 is a diagram illustrating a demonstration of a property AI avatar video according to the second embodiment. [Figure 21] FIG. 10 is another diagram illustrating a demonstration of a property AI avatar video according to the second embodiment. [Figure 22] FIG. 10 is another diagram illustrating a demonstration of a property AI avatar video according to the second embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0032] 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 accompanying drawings.

[0033] First Embodiment System Overview First, an overview of the real estate property buying, selling, leasing, and management support system (also an information processing system) according to the present invention will be described. The configuration of this real estate property buying, selling, leasing, and management support system is similarly applied to the second embodiment.

[0034] This information processing system is a system in which a cloud server built on the Internet, which is an example of a communication network, provides various types of information processing functions, and in this embodiment, a support system for buying, selling, leasing, and managing real estate properties will be described, particularly a support system for buying, selling, leasing, and managing rental real estate properties such as rental apartments, rental condominiums, rental stores, etc. Of course, this real estate property is not limited to rental real estate properties, and may also be a condominium property for sale.

[0035] In this embodiment, the term "customer" will be used to refer to anyone, including a customer who visits a real estate store for the first time to consult about a property.

[0036] In addition, the sales, rental, and management support refers to supporting the sales, rental, and management of real estate properties. In particular, when real estate properties for rent are being sold, in this embodiment, - Listing the property (registering on a rental property advertising site), Assisting customers in store (gathering customer requirements, searching for rental properties that meet those requirements, explaining potential properties, showing them around, closing, and concluding the contract) CRM (Customer Relationship Management), - Ledger management of sales for each store and sales staff, and ·In-house training on sales of rental real estate properties This shall include inclusively:

[0037] This support for buying, selling, leasing, and management is carried out between the same unified platform using the computing functions of the cloud server mentioned above and the computers of the real estate stores that handle the sale of rental real estate properties. The computers installed in these stores are operated by the sales staff of the stores, so it can be said that the processing related to this support for buying, selling, leasing, and management is carried out in collaboration between computer systems and people.

[0038] As an example, this collaborative processing may include an AI execution process in the computer system that delegates at least a portion of the information processing for the store visitor response to AI (artificial intelligence) processing. This AI processing is equipped with an AI learning model that performs learning processing using a predetermined algorithm trained with training data labeled with pre-labeled real estate properties, various information such as their environmental information, and customer attributes (also called types or profiles). Training data indicating a sales response manual for customers is provided to an AI (artificial intelligence) model that has been trained by machine learning in advance, and the AI ​​model is then made to learn and use the data. Of course, in addition to such machine learning using teacher data, an AI model that processes using a deep learning algorithm may also be used. Any of these AI models may be publicly known.

[0039] Furthermore, this AI engine (see Figure 1) can generate an interactive or explanatory AI avatar using the face of a sales staff member or a virtual character, and can convey the necessary information to the AI ​​avatar using video (or still images) and audio. In the interactive version, the AI ​​has the ability to listen to questions by recognizing the customer's voice and respond to them.

[0040] Although the AI ​​engine described below is shown in a single block diagram, it may be configured with multiple AI engines depending on the differences in their functions.

[0041] Next, referring to Figure 1, an overview of the configuration of a rental real estate property buying, selling, leasing and management support system will be described as the information processing system described above, which includes the cloud server and the real estate store computer.

[0042] As shown in Figure 1, this rental real estate property sales, rental, and management support system 2 includes a cloud 6 built on a network via the Internet 4. This cloud 6 includes first and second cloud servers 8 and 10 for computational control, an AI engine 12 using a trained learning model, for example, an AI (artificial intelligence) model trained through machine learning, and a database 14 capable of reading and writing various data. It also includes an intercompany distribution site 16 (comprising multiple intercompany distribution sites R1, R2, R3, ... Rn) where intercompany distribution site operators offer rental real estate properties in the online distribution market. This intercompany distribution site 16 (R1, R2, R3, ... Rn) allows rental real estate agents who have signed contracts with the site to browse the multiple intercompany distribution sites R1, R2, R3, ... Rn online and import that information into their own systems online. In other words, property information on the intercompany distribution sites 16 (R1, R2, R3, ... Rn) is updated on a site-by-site basis. Therefore, rental real estate stores that have a viewing license can view constantly updated property information on their own exclusive inter-company distribution site. Of course, other real estate stores (i.e., rival stores) can also enter into contracts with this inter-company distribution site 16. Therefore, as long as other real estate stores also have a viewing license, they can view the same inter-company distribution sites R1, R2, R3, ... Rn and devote themselves to selling properties.

[0043] As shown in Figure 1, cloud 6 is depicted as if it were dedicated to a single real estate store A. Although not shown, similar systems can be constructed for other real estate stores B and C. In other words, the provider of this cloud 6 sets up a cloud system for each contracted real estate store (company) 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 consideration the contractors and customer scale.

[0044] In this cloud 6, the first and second cloud servers 8 and 10 are both configured as general-purpose computer systems, as shown in FIG. 2. Of these, the first cloud server 8 is capable of controlling and communicating between the outside and the inter-company distribution site 16. The first cloud server 8 has an interface (I / O) 8A that functions as an interface for communication with the outside, and various elements including a first processor 8C, a RAM 8D, and a ROM 8E are connected to this interface 8A via an internal bus 8B. The RAM 8D is a memory means for temporarily storing data during calculation, and the ROM 8E functions as a storage means for storing non-transient computer programs that are previously stored in the work area of ​​the first processor 8C to execute various programs (described later). Of course, the RAM 8D and ROM 8E can be made of various types of known memory structures.

[0045] This first processor 8C is communicably connected to the inter-company distribution site 16 and the second processor via an interface 8A and an in-house network such as a LAN cable.

[0046] Meanwhile, the second cloud server 10 processes information by interposing between the computer system of one real estate store (described later) and the AI ​​engine 12, database 14, and first cloud server 8. As shown in FIG. 2, in this embodiment, the one real estate store is real estate store A, so ultimately, this cloud 6 is constructed on the Internet 4 as a cloud dedicated to store A. A similar cloud configuration is constructed from the perspective of other stores B and C.

[0047] Although this cloud dedicated to each store itself is not shown in the figure, it is constructed online via the Internet 4 by a company that provides a support system 2 for buying, selling, leasing, and managing real estate properties, particularly rental real estate properties, in this embodiment, and is inspected, maintained, and managed by that company.

[0048] Returning to the second cloud server 10, this server has an interface (I / O) 10A that functions as an interface for communication with the outside world, and various elements including a second processor 10C, a RAM 10D, a ROM 10E, a display 10F, and an input device 10G are connected to this interface 10A via an internal bus 10B. The RAM 10D is a memory means that temporarily stores data during calculation, and the ROM 10E functions as a storage means that stores non-transient computer programs that the second processor 10C calls into its work area and executes, and in which various programs described below are stored in advance. Of course, as described above, the RAM 10D and ROM 10E can be made of various types of known memory structures.

[0049] As mentioned above, the AI ​​engine 12 is a computing unit that automatically starts up when necessary to assist store sales staff in the sale, purchase, leasing, and management of rental real estate properties. It is an AI processing unit that uses a so-called trained AI model that has undergone machine learning with teaching data. This AI engine is programmed to support sales activities behind the scenes for store sales staff, and in this embodiment, it is designed based on the inventive concept that the sales staff are the main players in sales. Following up (supporting) sales activities presupposes that, even for staff with little sales experience, staff who are not pushy, or staff who tend to miss the intentions hidden in customer requirements, each item is collected without omission using a document that has been itemized as a questionnaire (chart). Then, based on the collected information or information obtained while filling out the questionnaire, the AI ​​provides sales advice to the sales staff alone, supporting their sales activities.

[0050] Various algorithms for supervised learning, such as the random forest method and the k-nearest neighbor method, can be used as the algorithm of the AI ​​engine 12. On the other hand, a deep learning algorithm may also be used.

[0051] In addition, this AI engine 12 is configured to train an AI model using machine learning with teacher data, and to provide an AI function that enables the AI ​​model to output, i.e., provide an answer to the input, and an AI avatar function that creates an interactive AI avatar that has the ability to analyze language from voice, analyzes the content of the speaker's utterance, and answers questions.

[0052] Furthermore, the database (DB) 14 is a storage device that stores property information downloaded from the inter-company distribution site 18 via the first processor 8C and various data processed in response to requests from the store, which will be described later. In this embodiment, not only data on property transactions themselves, but also information and data that contribute to sales of rental real estate properties for each real estate store and sales training for employees (sales staff, etc.) of the real estate store can be stored.

[0053] Furthermore, another database 18 is communicatively connected to the network 4. This database 18 is a common database not only for real estate store A but also for all stores participating in this cloud 6. This database 18 stores ledger data for each sales staff member at each store, such as the sales (commission) of each sales staff member. In this way, one of the features of this database is that the ledger data for each sales staff member is separated from that of the store (company). This is so that even if a sales staff member changes jobs, their past performance can be confirmed by the new company. Details will be described later. Of course, a similar storage system can be constructed by physically combining the databases 14 and 18 into one and changing the access rights for each storage area.

[0054] In the cloud 6 according to this embodiment, the functions of the cloud server are divided and distributed to a first cloud server 8 that handles processing with the inter-company distribution site 18, and a second cloud server 10 that handles processing with the real estate store, which will be 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 together as a single cloud server, multiple functions related to the buying and selling, leasing, and management support according to this embodiment may be processed in parallel, for example, by time sharing.

[0055] Furthermore, computer systems 22A, 24A of one or more management companies 22, 24 that manage rental real estate properties are communicatively connected to the Internet 4. The computer systems 22A, 24A of the management companies 22, 24 are linked to one or more landlords A, B, C that provide rental real estate properties so that they can communicate with or be contacted by each other.

[0056] Furthermore, computer systems 26A (to 26C) of an advertising media provider 26 that advertises rental real estate properties online at the request of real estate stores, etc., are connected to the Internet 4 so as to be able to communicate with each other. These computer systems 26A to 26C provide advertisement sites.

[0057] Furthermore, this sales, rental and management support system 2 is provided with an in-store network 38 consisting of Wi-Fi or the like, which is constructed in each of one or more real estate stores 32, 34, 36, and the computers 32A (34A, 36A) of each store are communicatively connected via the in-store network 38. The store computers 32A (34, 36A) are of course normally made up of one or more computers depending on the number of sales staff, each assigned to a different sales staff member.

[0058] Furthermore, in each real estate store 32 (34, 36), this sales, rental, and management support system 2 is communicatively connected to the second processor 32 of the cloud server 6 via the in-store network 38 installed within the store and the Internet 4, together with the store computer 32A (34A, 36A).

[0059] Furthermore, each of the real estate stores 32, 34, and 36 is provided with a tablet 40 as an electronic terminal that is temporarily loaned to the customer when the customer visits the store. The tablet 40 is equipped with a microphone and a camera, and is capable of communicating with the second processor 10 via voice.

[0060] Therefore, information entered by the customer into this tablet 40 is transmitted to the second processor 10C in the cloud 6 via the in-store network 38. The information processed by this second processor 10C is also transmitted to and displayed on the store computer 32A assigned to the sales staff member and on the tablet 40 operated by the customer via the Internet 4 and the in-store network 38. In this case, the second processor 10C works in cooperation with the AI ​​engine 12 to generate information to be sent to both the store computer 32A and the tablet 40, as well as information to be sent only to the store computer 32A (including various messages for sales support).

[0061] Even when responding to the desired conditions for rental real estate submitted by the same customer in this way, the store takes into consideration various factors such as the store's sales efficiency and the experience of its sales staff, and separately generates information and instructions to show the sales staff and to encourage them to respond, in order to ensure high-quality sales that also ensures customer satisfaction as much as possible, which is one of the features of the sales, rental, and management support system 2 of the present application. Specific examples and specific contents of this feature will become clear from the description below.

[0062] <Overview and features of the service: registration of rental real estate properties via cloud server, sales support for selling those properties, CRM, ledger management related to sales, and in-house training> 1. Customer process from arrival to departure: First, referring to the flow chart in Figure 3, an example of the procedure carried out between a customer (who can also be called a client after the contract is concluded) and the sales staff of the real estate store 21 from the time they arrive at the real estate store 32 (34, 36) until they leave will be described in an embodiment of the present disclosure.

[0063] S1: A customer visits the store. A tablet 40 dedicated to the customer is provided as a customer terminal (electronic terminal) to be used during the visit. 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 their own device such as a smartphone or PC. In this case, the customer is asked to download the questionnaire application according to this embodiment in advance or inside the store.

[0064] S2: On the tablet 40, the customer watches a video on how to use the sales, rental and management support system 2 (executed by the computer system 6A of the cloud server 6) and the tablet 40 (customer task: approximately 2 minutes).

[0065] S3: First, the customer begins filling out a questionnaire (medical record) on the tablet 40 (customer task). At the same time, AI (artificial intelligence) processing based on machine learning also begins in the computer system 6A of the cloud server 6. Of course, processing by software without using AI is also possible.

[0066] S4: As this entry begins, the sales, rental, and management support system 2 also begins to determine the customer's attributes (profile) through its AI processing, as described below. In particular, when the customer enters the details of their occupation in the occupation field, the sales, rental, and management support system 2 automatically determines whether or not the customer is likely to pass the screening of the rental real estate guarantor company based on the details of their occupation. For this reason, the customer's attributes (profile) are also set from the perspective of this determination, i.e., whether or not the customer is likely to conclude a rental real estate contract.

[0067] S5: The sales, rental, and management support system 2 uses its software processing to determine whether the customer has completed filling out the questionnaire, and if there are any items left unfilled, it issues an alarm or a message to the store computer to notify the sales staff only. Therefore, the sales staff verbally urges the customer to fill out the missing items while they are filling out the questionnaire or when they have finished filling it out (the sales staff's work).

[0068] S6: The sales, rental, and management support system 2 automatically generates standard presentation materials common to various customer attributes (profile, type) and / or additional presentation materials based on attributes (profile) specific to the customer, and transmits them to the store computer 20A and / or tablet 40. If the sales, rental, and management support system 2 determines that an explanation to the customer using additional presentation materials is necessary, the sales, rental, and management support system 2 automatically generates the additional presentation materials.

[0069] S7: After that, the sales staff will make a face-to-face presentation and conduct an interview with the customer based on the standard presentation materials and / or additional presentation materials described above (sales staff work).

[0070] Furthermore, if the customer changes the contents of the questionnaire or adds items to be filled out during the presentation, the sales, rental, and management support system 2 automatically regenerates the standard presentation materials and / or additional presentation materials and resends them in the same manner. The sales, rental, and management support system 2 can repeat this regeneration and resending until all items in the questionnaire have been filled out and the customer is satisfied.

[0071] S8: Once all items on the questionnaire have been filled out and the presentation has finished, the sales, rental and management support system 2 extracts properties from the cloud 10A of the inter-company distribution site provider 10 according to the contents of the questionnaire and stores them in folders set up on the tablet 40, from the first to third candidates. When storing them, necessary information for the customer for each property (Google Maps, surrounding facilities, etc.) is also collected and stored together. The number of candidate properties is not particularly limited.

[0072] S9: Using the tablet 40, the sales staff explains each property. At the same time, the sales staff also explains not only the property but also the attached information (information can be viewed by clicking on each tab).

[0073] S10: On the screen of the tablet 40, while explaining to the customer, sort each property into "Delete," "Pending," or "Request to View" (tasks performed by the customer and sales staff).

[0074] S11: On the screen of Tablet 40, the customer / sales staff carefully examines the "Pending" folder and sorts it into "Delete" or "Request to Tour" (tasks performed by the customer / sales staff).

[0075] S12: On-site (property) inspection (customer / sales staff work). Tablet 40 is brought with the customer during the inspection.

[0076] S13: On the screen of the tablet 40, sort the request from "Request to Tour" to "Final Consideration" or "Delete" (operation by the customer or sales staff).

[0077] S14: On the screen of the tablet 40, ask the customer to give a score for each item of each property in the "final consideration" (mainly the customer's work).

[0078] S15: Execute the AI ​​decision (system) and display the AI ​​decision result.

[0079] S16: Closing, i.e., explaining the AI's decision (candidate properties and reasons) (work of sales staff) S17: Returning to the store or at the site, the customer fills out the application form on the screen of the tablet 40 (operation of the customer).

[0080] S18: Explaining the upcoming schedule (sales staff) S19: Print out and hand over the property information and schedule that you applied for (Sales staff work) S20: Please leave a review on Google etc.

[0081] S22: Customer leaves the store.

[0082] <Overview of Cloud Server Functions> Before describing the detailed embodiment, FIG. 4 illustrates some of the functions cooperatively executed by the first and second cloud servers 8 and 10 of the cloud server 6. The programs for executing these functions are pre-stored in ROMs 8E and 10E, respectively, which are non-transitory computer program storage media. Therefore, upon startup, the first and second processors 8C and 10C (CPUs) sequentially execute various programs called from the ROMs 8E and 10E in their work areas in the order of their steps. The first processor 8C, together with the second processor 10C, primarily handles property registration-related processes, while the second processor 10C primarily handles sales support, CRM, ledger management, and in-house training. The ROM 10E also pre-stores programs related to AI (artificial intelligence) processing for sales, rental, and management support. The second processor 10C can then instruct the AI ​​engine 12 to perform these AI processes, including training (learning) the AI ​​model. Of course, the two processors may be integrated into one processor that performs both functions.

[0083] This cloud 6 is configured as a cloud dedicated to the store computer 32A (34A, 36A) of real estate store A 32 (34, 36). In other words, real estate store A 32 has entered into a usage contract with the company that operates the inter-company distribution site 26 and the company that provides the cloud 6 service, so cloud 6 functions as a cloud dedicated to real estate store A 32 via the Internet 4. This state is shown in Figure 2.

[0084] Therefore, as shown in Figure 4, the cloud 6 is configured to cooperate with the store computer 32A of the real estate store A 32 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 as it operates. These functions include functions (part of the functions of the property registration system 61) that are performed autonomously by the first processor 8C of the first cloud server 8 in accordance with a predetermined program, and functions (mainly part of the functions of the property registration system 61, the sales support system 62, CRM system 63, ledger management system 64, and in-house training system 65) that are performed primarily by the second processor 10C of the second cloud server 10 through interactions with the first processor 8C of the first cloud server 8, the AI ​​engine 12, and the store computer 32A of the real estate store A 32.

[0085] In this embodiment, the property registration system 61 is programmed to function as a property registration means dedicated to the 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 the property (registration and advertising of rental real estate) to closing the deal, but also receives the application fee from the customer once the deal is closed, and the ledger value is managed by each sales staff member and for the entire store, i.e., ledger management is also performed on the same platform as the sales, rental, and management support.

[0086] In addition, the same platform also provides educational opportunities for sales staff, and a sales training system is also available to address sales staff's lack of knowledge, experience, and communication skills. Therefore, even if they have no experience, this series of sales support (including training) makes it easier for them to achieve a high retention rate, contributing to higher salaries for sales staff themselves and increased sales for the store. This is likely to have a positive impact on the rental real estate industry.

[0087] Of course, in accordance with the usage contract, the cloud 6 also performs client management 60, which sets IDs and passwords for the clients, i.e., each real estate store A, B, C: 32, 34, 36, and assigns accounts to each sales staff member at each store.

[0088] Figure 5 shows the login screen when attempting to log in to the store computer 32A. As shown in the figure, two IDs (identification numbers) and two PWs (passwords) must be entered: a company ID, a company PW, a sales ID, and a sales PW. The items that can be accessed in the database are determined by access authority. This is shown diagrammatically in Figure 6.

[0089] <About each store (company) cloud ID> In FIG. 6, the ID and PW arrangement is exemplified as follows:

[0090] - A set number of IDs can be issued to each company.

[0091] One ID cannot be shared with other salespeople.

[0092] When logging in, you will need to enter both your company ID and password and your personal ID and password.

[0093] You cannot log in with the same ID at the same time.

[0094] When a salesperson resigns, the fact of resignation is entered into the system. After that, they will no longer be able to log in to each company's system or cloud 6 (see the cross in Figure 6). In addition, each individual ID can only be used to view and issue the remaining individual's achievements, certificates, etc.

[0095] -Personal AD can only have one ID for their entire life · For personal ADs, the administrator of each company will request the system company to issue them.

[0096] Please attach your ID card.

[0097] The system company's personal registration officer will make the final decision and issue the card.

[0098] The personal cloud (set in the database 18) stores this month's commission progress, this month's sales progress, past commission results, past sales results, etc.

[0099] · If you join a system implementation company, you will be able to work with the company and your sales record and commission will be accumulated.

[0100] If you leave the company that introduced the system, the company will remove the connection. Even if you remove the connection, your past performance will be maintained. However, in order to accumulate performance, you must connect with another company that introduced the system.

[0101] You can use applications in your personal cloud to practice presentations, play rope playing games, and follow up on customers. However, you cannot practice presentations, play rope playing games, or follow up on customers without a partner company.

[0102] · In partner companies, managers can check the progress of individuals' past performance, presentation practice, role-playing games, and customer follow-up.

[0103] If you do not log in or accumulate achievements for more than two years, your personal cloud will be automatically deleted, along with any accumulated data.

[0104] · Customer follow-up history and personal information will no longer be available for viewing after the contract is completed.

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

[0106] FIG. 7 shows an example of the screen of the logged-in store computer 32A, which displays various property messages, a weekly schedule for all employees, and buttons for property management, customer management, etc.

[0107] Returning to FIG. 4, the functional system shown in the figure will be outlined below.

[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. Hereinafter, rental real estate properties will be simply referred to as "properties." Figures 8 and 9 show the connections between related elements using lines of action that indicate the communication.

[0109] 1: Every day, new properties (detection conditions are determined and set by each company) are automatically detected from the property search site within Cloud 6 (i.e., inter-company distribution sites R1 to Rn), and notifications are sent at regular intervals to encourage registration (property listing).

[0110] This registration is commonly referred to in the industry as "item placement." To automatically perform this placement, the inter-company distribution sites R1 to Rn (e.g., ATBB (operated by At Home Co., Ltd.), REINS IP (operated by the East Japan Real Estate Transaction Organization, a public interest incorporated foundation), ITAMDI BB (operated by Itandi Co., Ltd.), Ielove BB (operated by Ielove GROUP Co., Ltd.), Iiseitsu Square (operated by Iiseitsu Co., Ltd.), RearPro (operated by Japan Information Create Co., Ltd.), DKPORTAL (operated by Daito Trust Partners Co., Ltd.), and D-roomNAVI (operated by Daiwa Living Co., Ltd.) are kept logged in on the cloud at all times. This allows users to enter property names, rents, etc. and perform a bulk search on the inter-company distribution sites. The listing URL can be pasted into the search results.

[0111] 2: Periodically (once a week), Real Estate Store A will notify you of any properties currently listed that have disappeared from each property search site.

[0112] 3: After the property deletion mentioned above, if there is a property that has been listed for 5 days (but is not available on any property search site), a warning will be sent.

[0113] 4: If any properties that have been removed from the property listings within the past month have temporarily disappeared from the property search sites but have since been reinstated, we will notify you as soon as possible.

[0114] 5: Check the properties you have listed on each property search site on a daily basis. If there are any changes to the conditions of the registered property (rent, common area charges, security deposit, key money, etc.) in the database 14, notify them and click "Change" to automatically make the changes. Click "Submit" to complete the changes.

[0115] 6: Instantly search on a property search site to find out which management company is handling the property listed in the advertising media provided by the customer.

[0116] 7: Change the content of properties that have already been registered or properties that have been registered instantly to a registration method that will instantly increase the number of responses.

[0117] 8: The registered contents will be scored so that the quality of the registered contents can be understood. Also, if there are any shortcomings in the registered contents, a comment will be issued.

[0118] These steps 7 and 8 convert the content of the property (corresponding to converter 61A. See Figure 3). In other words, the feature of the conversion to the above property registration is that properties that are instantly registered or already registered from the property search site (inter-company distribution sites R1 to Rn) within Cloud 8 are AI-processed to increase the number of high-quality responses (see Figure 8), and after approval from the store, are posted on the portal site of the advertising media provider 26 (advertising). In the AI ​​processing, the AI ​​learning model is trained using training data to increase the number of high-quality responses.

[0119] This "method to increase the number of high-quality responses" also combines the work of people who take photos of the property with comments automatically generated by AI learning, and adds and enriches property information to get high-quality responses, i.e., responses to advertisements that have the potential to lead to rental property sales. In the past, this was often achieved by simply posting property information downloaded from the property search sites of inter-company distribution site operators.

[0120] This method of adding and enriching property information was conceived by the inventor and is based on his unique know-how.

[0121] It is only by adding and enriching this property information that customers can gather information about each property in a centralized manner, deepening their understanding of the rental property and increasing their trust and affinity with the advertisement. This allows customers to visit the store not just with basic or perfunctory information about the property, but also from the start to sense the decisive factors for closing the deal, such as the conditions they would like to have met (for example, it would be great if there were a park and sports facilities nearby). In other words, the probability that they will want to visit the store and make a decision about this property increases dramatically as soon as they see the advertisement. Therefore, after just one visit, it becomes easier to decide whether or not to sign a rental contract, increasing the probability of closing the deal.

[0122] An example of the content of the addition and enrichment of the property information mentioned above is as follows:

[0123] Those who take photos or register properties are asked to fill out a simple multiple choice survey, and AI uses machine learning to automatically generate comments based on the survey results, property registration details, and actual photos, and automatically inputs photo comments, staff comments, and property features into each photo.

[0124] Search for nearby parking lots and their fees (in collaboration with AtPark (operated by AtHome Co., Ltd.) and Park Direct (operated by Neely Co., Ltd.)), and post that information for each property. Not only will the location and fees of the parking lot be displayed, but the distance to the parking lot will also be displayed.

[0125] -Make it possible to automatically enter searches for nearby facilities (in collaboration with Navitime and others).

[0126] -Make it possible to automatically input three nearby stations (contract with Google Maps).

[0127] -Automatically add important equipment items from registered information, Add 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 registered contents are scored using the photo item insufficiency check function, panoramic photo insufficiency check function, and Fair Trade Commission regulation check function, allowing you to grasp the quality of the registered contents. Also, if there are insufficient registered contents, a comment will be issued. Function to add equipment items from photos

[0128] In particular, it is desirable to enhance the functionality for adding equipment items to property information from property photos. The AI ​​will read what equipment is available from each photo of the registered property, and if an item is missing from the equipment item registration field, it will automatically enter that equipment item. In addition, if the comment content that the AI ​​has learned is read from the photo and is not included in the comment, it will automatically generate and add a comment.

[0129] For example: If you recognize from a kitchen photo that there are three burners, change the equipment item from "two burners" to "three burners."

[0130] -Recognize that there is a security camera from a photo of the entrance, etc. ⇒ Change the equipment item from "No security camera" to "Security camera present" - From the bathroom photo, it is recognized that there is a bathroom dryer ⇒ Change the equipment item from "No bathroom dryer" to "Bathroom dryer present."

[0131] - From the photo of the toilet, we recognized that there was a heated toilet seat ⇒ The equipment item was changed from "No heated toilet seat" to "With heated toilet seat."

[0132] ·Living room ·Sleeping room ·Western-style room ·Japanese-style room From the item photo, recognize that it has good sunlight ⇒ If it recognizes that "This is a living room with good sunlight" is not included in the comment ⇒ add the comment "This is a living room with good sunlight."

[0133] When a security camera photo is recognized, if it is determined that there is no comment "It's reassuring to have a security camera" and that it is not included in the equipment items, it will add "It's reassuring to have a security camera" to the comment. It will also change the equipment item to "There is a security camera."

[0134] <Sales Support System 62> Next, we will explain the sales support system 62. In Fig. 10, the connections between related elements are shown by action lines.

[0135] This sales support system 62 prepares presentation materials to increase closing rates based on the inventor's extensive knowledge of rental real estate sales and the skills that lead to high closing rates. In other words, it is a collaborative system of "people + AI" that accurately matches each customer's desired conditions and combines AI (which learns how to increase closing rates), and sales staff use the prepared presentation materials to explain the deal to customers. At the closing, sales staff also explain the property based on the property recommended by the AI.

[0136] -Presentation materials that match the customer's attributes (profile, type) are generated based on the details of the questionnaire that the customer fills out on the tablet 40. Since the AI ​​engine 12 has previously learned how to create presentation materials, it can generate them sequentially from the questionnaire input information.

[0137] There are two types of presentation materials: standard presentation materials that can be used by many people, and additional presentation materials that require information explanations derived from the attributes of each customer. Standard presentation materials are stored in a predetermined format in the database 14 and can be called up when necessary. Furthermore, if the explanation provided by the standard presentation materials is insufficient, that is, when the AI ​​(AI engine 12) determines from the questionnaire input that information that reflects the customer's attributes is needed in the explanation content, the AI ​​automatically generates additional presentation materials (information). These additional presentation materials are added to the standard presentation materials and used in presentations and interviews by sales staff.

[0138] The additional presentation materials will also be set to automatically include answers to the survey questions "Problems" and "What customers want to know." Answers to the top five "Important Points" will also be automatically included.

[0139] A large number of animated presentations are created for each anticipated question and stored in the database 14. Therefore, when a customer enters a question, the AI ​​engine 12 is activated, and an animated presentation that matches the question is extracted and played.

[0140] Using the basic presentation materials and the additional presentation materials added by AI, the sales staff will conduct further interviews with the customer and fill in each item in the customer chart. Examples of such items include:

[0141] Example: AI will judge the customer's questionnaire responses and the content added to the chart by the sales staff, and send a message with instructions on how to add presentation materials or take action. Sales staff will use basic presentation materials to conduct interviews and fill out the customer chart together with the customer.

[0142] You will be asked to answer questions such as "Are you late on credit card payments?", "Are you behind on your cell phone payments?", "Have you changed your cell phone number in recent years?", and "Have you ever been behind on rent?". For example, if you answer "yes" to the question about your history of late credit card payments, a presentation on "Finding an apartment if you have financial troubles" will be added. Also, if you have a history of financial troubles, "Ask about the guarantor company" will be added to the "Things to check with the management company" section.

[0143] Also, if fiber optic internet is listed as a priority in the customer's medical record, a presentation document titled "Fiber optic internet for rental properties" will be added.

[0144] Furthermore, if "noise" is selected in the section of problems with the current residence in the customer's chart, a presentation document on "How to solve noise problems" will be added.

[0145] Furthermore, if the column "What would you like to ask the sales staff?" in the customer chart is checked or if the column "What is a safe, secure, and comfortable room?" is selected, presentation materials regarding "What is a safe, secure, and comfortable room?" will be added.

[0146] Based on the content added by the salesperson to the customer chart, if the AI ​​determines that additional presentation materials are necessary, they will be added automatically. It will also provide advice on how to handle the customer's needs.

[0147] Ask customers questions other than those about the room. If you can answer a question, answer it as is. If you cannot answer a question, write the question in the "How to answer question" field. If the question is included in the answering method list, the AI ​​will provide an example answer.

[0148] Questions that could not be answered are automatically reported to the system company, and the AI ​​is trained to learn about those questions and answers, and the system is then refined so that all companies using the system can answer those questions.

[0149] If the AI ​​detects that something needs to be confirmed with the management company in the chart, it will enter that information in the "Items to Confirm with the Management Company" field. This "Items to Confirm with the Management Company" field is always displayed on the sales terminal screen.

[0150] When the AI ​​determines that the customer needs to know more, it will suggest a re-interview and automatically insert the information into the "customer chart" and notify the customer via a message (see Figure 11).

[0151] [Summary of questionnaire items] Below are some examples of items that customers may fill out in the questionnaire.

[0152] <basic information> Name, current address, phone number, occupation, years of employment, reason for moving, moving date, accompanying person (yes or no) If accompanied by a person: housemate, parents, siblings, other relatives, friends, etc.

[0153] <Conditions for finding a room> Enter the following in the order of first choice, second choice, and third choice. Area, walking distance from station (within minutes), rent (¥0-¥0 including management fees), layout (studio, 1K, 1DK, 1LDK, 2DK, 2LDK, 3DK, 3LDK, or more), floor (1st floor, 2nd floor or higher, top floor, no preference), pets (keep, don't keep pets; if you do, small, medium, large, or cats; x pets), parking (on-site, off-site; if off-site, within x minutes of the property), motorcycle parking (required, not required), bicycle parking (required, not required), internet (required, not required) → additional if necessary → internet line (fiber optic line required to the room, fiber optic line to the building is acceptable, non-fiber optic line is fine, I would like to sign up for fiber optic line myself and have it installed directly in my room) Desired facilities (second and third choices should be gradually removed from the first choice)

[0154] <Important points (rank from 1st to 5th)> Nearby shops, safe neighborhood, close to station, quiet living, new construction, white-themed room, security, spacious room, building structure, reliable management company, construction company, pets, motorcycles, parking, storage space, outside landslide disaster area, fiber optic internet, etc.

[0155] <For those currently living in a rented property> · Notice of eviction 1 month ago, 2 months ago, end of month closing, end of next month, unknown, other Current housing issues Noise, trouble with neighbors, small space, security, surrounding environment, rent, management company, distance from station, slow internet, etc.

[0156] What I want to ask What is a safe, secure and comfortable room? Average rent, safety, initial costs, timing of moving, building structure, need for a management company, differences between condominiums and apartments, etc.

[0157] [Survey and Interviews] The above can be summarized as follows: A "customer chart" is created automatically or manually from the "questionnaire" and "interview." Based on this, the AI ​​determines "attributes (history of financial accidents, delinquency, income, job type, etc.)" and "customer type (student, foreigner, new employee, transferee, parent and child visitor, independent woman, married, same-sex couple, low budget, moving soon, etc.)," ​​and provides presentation materials appropriate to those "attributes" and "customer type" to the sales staff (additional materials may be added along the way). The sales staff then sends advice messages, and if the AI ​​determines that additional information is needed from the customer, they suggest re-interviewing. At the same time, the questions asked are automatically inserted into the "customer chart," and a message notifies the customer. Messages also display things that need to be confirmed with the management company (such as whether international students are allowed, whether cats are allowed (even if pets are allowed, cats may not be), and internet connection).

[0158] [Customer speech recognition sales support system (measures to prevent salespeople from missing something)] Detecting pre-set keywords in a customer's speech can provide clues for discovering the customer's feelings and intentions that they may not express directly. On the other hand, if these clues are not properly addressed, the store may end up not reaching a deal or the transaction may be put on hold, resulting in a waste of time and effort. Using the language analysis function of the AI ​​engine 12 to detect these keywords and respond to them is extremely beneficial for both the customer and the store. Examples of such keywords and corresponding messages are shown below.

[0159] The words (language data) spoken by customers are constantly input into the AI ​​engine 12. For this reason, the AI ​​engine 12 uses an AI model that analyzes the language and monitors whether or not a specific "keyword" has appeared in the speech. If that keyword appears, an alert and message are output from the AI ​​model.

[0160] · Audio recordings can be stored in the customer's chart for review.

[0161] When the AI ​​Engine 12's language analysis function detects a "keyword," it visualizes the content of what was said in the two seconds before and after the keyword and displays it together with the message.

[0162] - Research and record only conversations of people around the microphone. Equipped with noise canceling function.

[0163] - The voice of each salesperson is recognized by AI in advance. Keywords that come out of the recognized voice are not included.

[0164] · What the AI ​​detects from the voice ⇒ (Example) The words in " " are keywords I wonder if the "brokerage fee" will be cheaper? I wonder if there will be any "sound" I wonder if the "public safety" is okay? You have to ask your parents Isn't it "far"? Is it expensive? Maybe it would be better if it was a little wider? I wonder if there's a "better" room? Are there any "cheap" rooms? Are there any other rooms? · Check out "other" things, try "other" things "XX company," "next XX real estate company," "real estate agency" - should I go? (The ____ part refers to the name of a real estate company across the country) I wonder if there's still time left "I wonder if there's still any left?" Maybe it's still too early? "I wonder if it's okay?" Want to see more? etc. The AI ​​will memorize the names of real estate companies across the country, and these will become "keywords." The company implementing the system can choose whether or not to use the real estate company names as "keywords."

[0165] Example of how to specify: prefectures, cities, towns, and villages, individual designations How to add) Register the company name individually (name, katakana, address) The added information will also be added to the system company's list.

[0166] The "keywords" decided by each company are stored in the "keywords" folder in the database 14. Each company that implements the system can also add or delete "keywords."

[0167] · If each system implementing company wishes to add something other than the real estate company name, they can make a request through the keyword addition request. The request is stored in the system company's "keyword addition folder." The added "keywords" are registered in the system company's "keyword addition folder," and the system company decides which of them will be certified as a "keyword." If certified, they are added to the "keyword folder" in the cloud of all system implementing companies, and a message is sent to each implementing company (store) informing them that the "keyword" has been added. Each implementing company decides whether to add or delete the "keyword."

[0168] AI Engine 12 constantly searches for utterances of "keywords" stored in the "keyword folder" in each company's dedicated cloud.

[0169] [An example of advice from AI to sales staff] (1. When AI makes a decision based on medical records) This client's asking rent does not match their income. Please recommend lowering the asking rent. I have added presentation materials for that purpose.

[0170] This client's initial budget is too low. Ask them if they would like to reschedule or choose from a smaller selection of properties.

[0171] This client is very particular about the brokerage fee. Please provide detailed information about the brokerage fee. I have added the presentation materials.

[0172] This client is very particular about sound. Please clearly explain the difference between an apartment and a condominium, and make a proposal only after they have decided whether they want an apartment or a condominium. I have added the presentation materials.

[0173] This client is a foreign national. Please ask if they have any Japanese friends or relatives (with permanent residency), foreign friends (who can speak Japanese), or foreign friends with permanent residency who can speak Japanese in Japan as emergency contacts. Presentation materials are being added.

[0174] This client wishes to keep a pet. Please ask about the type, size, and number of pets. The initial cost presentation includes a "pet deposit plus one month." Explain that many properties require an additional one month's deposit if you keep a pet during the initial cost presentation. Also, confirm the conditions for keeping pets, including the types and weights allowed, and if there are any changes to the contract terms, enter the details of the conditions in the property data. Running costs will vary depending on the details.

[0175] - The student is visiting without an attendant. Ask if they have permission from their parents to move. If they have permission, try calling them on the spot. If they are unable to answer the phone due to work, ask them about the conditions they have given you, the rent, and the date and time you can contact them. Also, ask if you would like to view the property with your parents.

[0176] This customer says they need fiber optic internet access to their room. Please check the "Internet Access Status Check" with the management company and enter the status in the property data. Running costs will vary depending on the details.

[0177] (2. Alert when AI detects a "keyword" in the customer's speech) You mentioned "brokerage fees" now. You may be wondering about brokerage fees.

[0178] - You are currently concerned about "noise." You may be concerned about the sound reverberating.

[0179] Now, you mentioned "public safety." Please confirm what public safety concerns you have.

[0180] Now you say, "I have to ask." The decision maker may not be here. Please find the decision maker.

[0181] -You're saying "it's so far away, so far away" right now. You may be concerned about the distance from the station. Please check if the walking time from the station is OK.

[0182] You just said "expensive." Please confirm what is expensive.

[0183] You may be thinking, "A little bigger," "Better," "Cheaper," or "I wonder if there are any more available." There may not be a room you like in the current listing.

[0184] · They may be planning to go to another real estate company, the next real estate company, or another real estate agent. Please check if there are any other rooms they are interested in or will be viewing in the future.

[0185] You may be worried about time right now. Make sure you still have time.

[0186] You're saying it's "early" now. You may be worried about when rent will be due.

[0187] As described above, in this embodiment, the AI ​​determines the customer type in the chart and adds materials and gives advice appropriate to that type. The AI ​​sends messages to inform the customer that the presentation materials contain pages that clearly explain the points the customer cares about, such as "This is a page that the customer wants to hear," or "This is an important page related to the customer's attributes." Messages from the AI ​​and visualizations of the customer's speech are automatically stored in the customer chart.

[0188] The first cloud server 8 automatically places properties detected from the property search site 16 into folders for each candidate based on the conditions entered by the customer for each of the first, second, and third room search conditions in the questionnaire, or conditions changed from the original conditions by the sales department based on information obtained during the interview. The property information (drawings) are automatically relabeled with the company's name, and the relabeled properties are moved to the above folders.

[0189] When searching for properties, the search is generally performed automatically according to the questionnaire. However, for the following conditions, if you wish to keep pets (regardless of type), search with "Pets: Negotiable", if you wish to have off-site parking, remove the "Parking" option, and if you wish to have bicycle parking, remove the "Bicycle parking" option.

[0190] If the same property is listed multiple times on each intercompany distribution site, only one property is extracted and placed in each candidate folder. Properties extracted from intercompany distribution sites that are not in Cloud 6 can also be converted to PDF and added to the candidates. In this case, the address and the URL of the searched site must be entered. The first, second, and third candidates can be viewed on the customer's tablet (see Figure 12).

[0191] In addition to the property details (drawings) in the candidate folder, each property also includes a Google Maps link (automatic address entry), a Navitime link (automatic address entry), and a hazard map (automatic address entry on the hazard map portal site, with the "flood," "landslide," "storm surge," and "tsunami" buttons automatically turned on). The link also includes information on the location, surrounding environment (Google Maps and Street View), a school district confirmation site (GACCOM), and "area comments" (each system implementation company creates an introductory text for each area. Areas can be set by the nearest station or by city, town, or village. Contents include information on local characteristics, shopping facilities, public facilities such as parks, and public safety, allowing sales staff to provide detailed explanations (see Figure 13). When adding properties from other inter-company distribution sites that are not part of Cloud 6, the sales staff can upload the drawing (the system automatically changes the band using the automatic band change function), enter the address, and check the candidate number. This will take them to the designated candidate folder, where they will be linked to Google Maps, Navitime, etc., with the address automatically entered from the address they entered (see Figure 13).

[0192] Also include a link to the source where each property was extracted. If the property is listed on multiple search sites, include all URLs and the name of the search site (only viewable by sales staff). Based on the customer's medical record, the AI ​​will determine that the property may not pass the screening and state the reason for this in the property folders for the first to third candidates, and will then state this in the property details. Examples of reasons include: The property's income and rent do not match. The guarantee company is a financial institution. However, if the salesperson checks with the management company and there are no issues, they can remove this statement.

[0193] The "property exterior photos," "room photos," and "floor plans" from each property information on the inter-company distribution site are extracted and stored in a "photo folder." This "photo folder" can also be viewed by customers (see Figure 17).

[0194] An estimate of initial costs is automatically calculated and displayed. (The initial cost estimate is calculated from the property information on the inter-company distribution site 16 on Cloud 6. If it is not possible to calculate, the initial cost is estimated from the security deposit and key money.) Automatically calculates and displays estimated running costs.

[0195] (Based on the property information on the inter-company distribution site 16 on Cloud 6, the estimate is calculated based on "rent," "common area charges," "guarantor company guarantee fee (monthly)," and "withdrawal fee," as well as "electricity fee," "gas fee," and "whether or not there is free fiber optic internet."

[0196] Electricity costs vary between apartments and condominiums, so take this into account and calculate per person based on the number of residents. Gas costs vary between propane and city gas. Taking this into account, calculate per person based on the number of residents and calculate per person based on the number of residents. Regarding "Free Fiber Optic Internet," if you can determine from the property information on the intercompany distribution site that the fiber optic line is free, set the internet fee to 0 yen. If only "Free Internet" (without the words "fiber optic") is listed, add it to the "Items to Confirm with the Management Company." Note that this "Items to Confirm with the Management Company" refers to the "Items to Confirm with the Management Company" column, which is always displayed on the sales terminal screen. If the answer is "Free Fiber Optic Internet," the salesperson can add "Free Internet" to the property details. Adding it will result in a 0 yen internet fee. If the line is not "J:COM" or other fiber optic line, ask the customer whether they would like to use it or not. If they answer "Yes," do not add the "Average Fiber Optic Internet Usage Fee (Monthly)." If they do not, add it.

[0197] However, if your home is ranked 1st to 5th in the list of important points or if you check that your current problem with your home is slow internet, we will charge you 0 yen or a premium without asking you.

[0198] Allow the customer or salesperson to select "Delete," "Pending," or "Request to Visit," and automatically sort properties into the "Pending," "Request to Visit," and "Delete" categories. Move from the candidate folder. Allow the customer or salesperson to move properties from the "Request to Visit" and "Pending" folders to the "Properties for Final Consideration" folder (see Figures 14, 15, and 16).

[0199] Furthermore, according to the buying / selling / renting / management system 2 of this embodiment, it is possible to add configurations that provide the following functions.

[0200] [Local explanation by sales avatar video during tour] When a customer is touring the area, they can click "I'd like to know more about the area I'm in" on their tablet, and an AI-generated sales avatar area introduction video will explain the "introduction text" (set by each company that has implemented the system) that has already been prepared for each area. Areas can be freely set, such as within a certain radius of a station or by city, town, or village. The customer's current location at the time of clicking is confirmed using the GPS function on the tablet, and an avatar area introduction video tailored to that area is selected and played. This content includes information on the area's characteristics, shopping facilities, public facilities such as parks, and public safety, and is collected by sales staff either by visiting the area themselves or by an unmanned (autonomous) sales avatar.

[0201] [Equipped with customer tablet measurement function, photo and video recording and storage function] The tablet for customer use will be equipped with a measurement function, photo function, and photo and video recording and storage function. If a customer wants to take measurements while viewing a room, they can click "Measurement" in the property details folder to launch the measurement function, take measurements, and once the measurements are complete, the results will be stored in the property details folder along with photos of the measurement points.

[0202] If you wish to take photos or videos, click "Photo Shoot" or "Video Shoot" in each property details folder to take the photos, and once you're done, the photos will be stored in the property details folder. You can check all of the above after returning to the store. You can also view the photos along with the property details after you return home.

[0203] [Strengthening AI-based judgment] In the closing system of this embodiment, you are asked to enter a score (1 to 5 points) for each item for each candidate property remaining in the "final consideration property," and the final judgment is made by AI.

[0204] Furthermore, the sales representative avatar will explain the reason for the "AI judgment." Specifically, · Each item → Rent (total rent), layout, surrounding environment, room, facilities, security, walking distance to station, area, property structure, management company, initial costs Salespeople can also select from three options regarding the reputation of the management company and the safety of the property's surroundings: "Good," "Bad," or "Average." -AI will make a decision based on the above.

[0205] The AI ​​is trained in closing know-how in advance. It makes a decision based on the customer's "item score," the "items above," "reason for moving," and "attributes (screening)" entered by the sales representative. The above judgment is made instantly by automatically generating sales avatar videos.

[0206] <Afterwards> - From application to key handover, schedule gift and printing ·Guidance to register Google reviews One month after the contract is concluded, the customer records will be stored in each customer ledger of each company cloud6, but will no longer be accessible to individual salespeople. The customer records cannot be stored on individual salespeople's PCs.

[0207] [Effects of Sales Support System 62] In this way, a customer survey can be conducted on a tablet, and presentation materials on potential rental properties suitable for the customer can be automatically selected from the intercompany distribution site or the store's own inventory based on the automated interview and survey. The presentation materials are designed to address customer concerns and gain greater trust. Sales staff use these materials as appropriate to explain to customers that the AI-selected properties are highly likely to suit their current situation. The AI-selected properties are based on or derived from the customer's desired conditions, are more likely to be guaranteed by the management company, and are more likely to be acceptable to the customer. Of course, there is still room for the sales staff to add or replace other properties based on their experience and intuition. This is one way in which the sales staff's skills can be put to the test. Ultimately, the customer's trust in the sales staff is also a crucial factor in closing a deal, so this embodiment emphasizes the importance of retaining the human-based process. This is also the reason why we have created a "man-machine" type sales support system in which people and machines work together to conduct sales, while utilizing AI that is similar to human thinking.

[0208] In the process of proposing this property, there are few or no gaps in the interactions between the AI ​​and the sales staff, and the presentation materials produced by the AI ​​fully reflect the customer's attributes (profile), so customers can obtain property information that is easier to understand than before.

[0209] Conversely, for rental real estate stores, AI can check for missing information on the questionnaire, while also providing sales staff with information on concerns about the customer's attributes, such as an unstable income that makes it difficult for the guarantor company to approve the application, along with countermeasures (such as encouraging them to consider a property with a lower rent), from the perspective of ultimately achieving the desired deal. This type of information is often difficult for inexperienced sales staff to tell customers, but the AI's judgment can be communicated on a tablet screen or by a sales staff member during or at the end of the questionnaire, making it easier to convince the customer.

[0210] Even if you try to close a sale when the customer is not convinced, it is common for the customer to say no or to think it over again. If the closing ends up like this, the time the sales staff spent to get there will be wasted, even though the experience gained, and therefore the store's sales will not increase, so one of the problems in the past was that stores wanted to avoid such a final situation.

[0211] The sales support system 6A2 according to this embodiment uses AI to determine the customer's attributes (profile) related to property rentals based on the desired property conditions described in the customer's questionnaire, and as described above, determines whether a situation can be reached where both the customer's and the store's preferences can be satisfied or compromised. Automatically extracts properties based on the customer's preferences, and proposes and explains candidate properties. Therefore, at the time of closing, realistically possible AI-selected candidate properties are proposed in order, taking into account the customer's preferences, and the reasons for proposing the AI-generated properties are explained. During this explanation, the store computer 32A and tablet 40 may be linked, so that the sales staff operates the store computer 32A while the customer views the information on the tablet 40 screen.

[0212] Therefore, conventionally, it has been possible to improve the knowledge related to property sales, the listening ability to draw out the true intentions and innermost feelings of customers, the proposal ability according to the wishes and intentions of customers, and the closing ability to aim for a contract while sequentially explaining the shortlisted properties and claiming that the property is the best.

[0213] In addition, as the first step (procedure) 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 encouraged to answer each question from the sales AI avatar, and the answers are also displayed in text. The questionnaire answers are made by checking items or entering text and numbers. The sales AI avatar constantly checks whether it has spoken a "keyword" 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 determining whether it should be provided to the sales staff or the customer, or provided to both in common for each content. By entrusting the sales AI avatar with the guidance of 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 for sales can be provided according to the customer's psychology (by checking keywords).

[0214] <CRM Customer Acquisition System 63> The CRM system 63 in the present embodiment shown in FIG. 4 will be described. The interaction between these elements is schematically shown in FIG. 18 using action lines.

[0215] In this CRM system 63, the second cloud server 63 functions as a cloud, the store computer 32A functions as a client, and the second cloud server 63 causes the AI ​​engine 12 to generate a representative AI avatar and a sales AI avatar using the generation AI function, and this sales AI avatar is used to follow up on customers (clients) who have visited the store once.

[0216] The follow-up is performed by the system, specifically the second cloud server 10, automatically distributing the information to the customer (excluding "response handling and registration of a person in charge").

[0217] Specific examples are as follows: - If the customer has not made a reservation at the time of booking, the sales AI avatar's message will encourage them to make one, and it is possible to make a reservation using the voice recognition function. Example: At the end of the video, "Mr. / Ms. XX, you can make a reservation for your visit here. If you would like to make a reservation, please say "I would like to make a reservation" out loud." "Thank you for your reservation. Now, please say out loud the date and time you would like to make the reservation." "Is it okay to make it on XX / XX / XX at XX? If it is correct, say "Yes." If it is incorrect, say "No." "Understood. We have confirmed it for XX / XX / XX at XX. A sales representative will contact you shortly to confirm your reservation." - All generated avatar videos will automatically include the customer's name.

[0218] When showing the property status or introducing a property, the property name is automatically inserted into the video.

[0219] Immediate thank you email (first time) from the company representative thanking you for your inquiry The AI ​​will immediately determine whether to send one of the two video patterns below, and then automatically generate and send it.

[0220] Pattern 1: If the property status is checked on the real-time company distribution site in the company's dedicated cloud and the property is currently available, the AI ​​will automatically generate a representative avatar video introducing the property and a representative greeting and send that video.

[0221] Pattern 2: The property status is checked on the real-time company distribution site in the company's dedicated cloud, and if the status cannot be confirmed or an application has been received and the transaction is closed, only a greeting from the representative is automatically generated and a video explaining the system is sent.

[0222] Response response and registration of person in charge (manual) (store manager or rental manager will automatically generate an avatar video to greet customers and explain the property situation, and send it) (2nd time) -Create the two pattern videos below and the person in charge will decide which pattern to send and send it manually.

[0223] Pattern 1: Check the property status and if the property is available, AI will automatically generate a sales avatar video to introduce the property, greet the person in charge, and provide system information, and send that video.

[0224] Pattern 2: Check the property status and find that the property has closed. The AI ​​will inform you that the listing has closed and extract 10 properties similar to the inquired property from the inter-company distribution site 16 as candidate properties, from which the sales representative can select two or more. Once selected, the AI ​​will automatically generate a sales avatar video introducing the property, greeting the sales representative, and providing system information, and send it to you.

[0225] Before extracting the above properties from the inter-company distribution site 16, sales personnel can change the extraction conditions.

[0226] On the day of the response, a greeting email was sent from the sales representative (an automatically generated avatar video for the sales representative was included in the email) (3rd time) · Responses from the end of business the previous day until 11:30 AM have been handled → Published at 11:50 PM · Responses from 11:30 AM to 5:30 PM are handled → 5:50 PM distribution · Responses from 5 PM to 7:30 PM have been handled → 7:50 PM distribution

[0227] - Second day of response, broadcast about store strengths (automatically generated sales representative avatar video and sent with that video) (4th time) Delivery at 5:50 PM

[0228] On the third day of the response, we sent out a message about the key points of finding a safe, secure, and comfortable apartment (we automatically generated a sales representative avatar video and sent it) (fifth time). Delivered at 11:50 AM

[0229] On the fourth day of the response, we sent out a message introducing the area around the store (we automatically generated a sales representative avatar video and sent it) (sixth time). Delivery at 5:50 PM

[0230] From the fifth day onwards, the person in charge will arrange the room search conditions that the AI ​​infers from the responses, and distribute these conditions two at a time every day at 11:50 AM and 5:50 PM through the inter-company distribution site 16.

[0231] Continue until unsubscribed. Properties that have already been distributed will not be distributed. However, if the conditions of the distributed property change, the property will be re-distributed with a message stating that "conditions have changed."

[0232] - New listings will be given priority. In that case, include a message indicating that the listing is a "new listing."

[0233] When distributing the above property, AI automatically generates a sales representative avatar video introducing the property based on the property details, etc., and sends that video.

[0234] [Video content] Property details ⇒ Property name, room number, rent, common area charges, room type (1LDK, etc.), square meters, address, location (display Google Maps at the same time and mark the location of the property), walking distance from station (display route from the location to the nearest station on Google Maps) Property comment ⇒ A photo of the exterior is displayed, and a comment is automatically generated based on the property registration details, which is explained by an avatar.

[0235] [When a reservation is made] When a reservation is made, an automatic email is sent immediately after the reservation is made (a thank you email from the sales representative avatar, along with a survey explanation, registration guidance, and reservation date and time, and an automatically generated video of the sales representative avatar is sent).

[0236] · Reservation confirmation email (the sales representative avatar will send the reservation date and time and confirm that the reservation has been confirmed. If the survey registration has not been completed, an automatically generated video of the sales representative avatar will be sent with the survey explanation and registration guidance)

[0237] [Automatically send a reservation reminder email 3 days before your visit] Follow up with the following pattern:

[0238] Pattern 1: If the survey registration has already been completed, an avatar video of the sales representative will be automatically generated and sent only to inform the customer of the reservation date and time.

[0239] Pattern 2: If the survey has not been registered, add the above to the survey explanation, registration guidance, and reservation date and time, and automatically generate a sales representative avatar video and send it. - The number of times each video has been viewed is automatically reflected in the customer chart.

[0240] The benefits of using avatar videos to follow up on customers are as follows: Increased viewing rates (as they are different from regular follow-up emails). Enjoyable for customers. They feel closer to your sales staff. Differentiate yourself from your competitors. Increased pre-survey registration rates (automatically reflected in customer charts). They spark interest in your company (store). You can expect an increase in store visit rates and a decrease in store reservation cancellations.

[0241] An example of the content of a follow-up email is shown below. It features a thank-you video message from a representative AI avatar, with the "customer" and "property name" automatically inserted into the video by the AI ​​generator. Any feedback on this avatar video is instantly captured by the system. (Example of email content) Dear Mr. / Ms. XX, Thank you for your inquiry about the room. I, the representative avatar of our company, will explain the details of your inquiry in the video. *The audio is muted. [Avatar video link] Once a sales representative has been assigned, that person will contact you with the latest status of the property you are inquiring about. [signature]

[0242] Store manager or rental manager avatar video to greet customers and inform them of the property status The video includes "Customer", "Property name", and "Property status". (Another example of email content) Dear Mr. / Ms. XX, Thank you for your room enquiry. I'm the store manager, XX. I will keep you updated on the latest status of the property through my avatar video. *The audio is muted. [Avatar video link] Once a person in charge has been decided, we will contact you. Thank you for your continued support. [signature]

[0243] Furthermore, all avatar videos will automatically include the customer's name. The "customer's name," "email address," and "property name and room number" will be taken from the response details received from each portal site. All avatar videos will be sent muted. It will be easy to unmute.

[0244] The rental real estate property buying, selling, leasing and management support system 2 according to this embodiment will also be explained in the avatar video. "People x Technology = Find a safe, secure and comfortable room" People = Salespeople and customers Technology = Sales, rental and management support system We strongly emphasize that this is the case.

[0245] From the above, the RM customer tracking system 63 according to this embodiment can automatically deliver property candidates searched from all clouds containing inter-company distribution sites set up by each company. Furthermore, it can increase the tracking effect by automatically sending greetings and inquiries about property status using avatar videos (automatically generated). Furthermore, it can differentiate itself from other companies by using high-tech technology to communicate its intention to search for a room using avatar videos and emails.

[0246] <Ledger Management System 64> According to the sales, rental and management support system 2 of this embodiment, the ledger management system 64 functions to create tables and trend graphs of sales (daily sales progress, monthly sales, sales by employee, commission results by employee (this month, past)) of each real estate store 32 (34, 36), and aggregated data based on this sales data, and store these in the database 14. When correcting this data, several standards, including commission and sales confirmation, are adjusted to suit the rules of each store. The IDs and passwords of the managers and sales staff of each store are managed individually.

[0247] [Sales and contract ledger management] Each customer can be managed by each person in charge. Sales management: Customer name, property name, management company name, brokerage fee, AD (advertising fee), incidental sales, and other sales are managed in a ledger.

[0248] [Deposit Management] The system reads the above brokerage fees, AD (advertising fees), ancillary sales, and other sales from the bank deposit details (Excel or CSV) based on the name and amount, and automatically registers the deposit.

[0249] [Contract ledger management] It is managed in a PDF file for each customer and managed on Cloud 6 for each store. A contract is counted as a contract once the brokerage fee payment process, AD payment process, and contract ledger upload are completed, and the "customer name, property name, management company name, and contract ledger" are deleted from each individual account on the payday after the contract is concluded.

[0250] Cloud 6 stores the customer name, property name, management company name, and contract ledger. Only administrators can view this information. Sales staff's personal accounts retain their past sales and contract numbers as long as they have an account.

[0251] [Commission calculation] The system automatically calculates commissions based on the information in each sales account according to the company's commission conditions and calculation method, and can output the results in Excel, CSV, etc. It is also possible to link with Money Forward (collaboration) and have commissions automatically reflected. Commission progress and past performance can be checked in each individual account. Past performance will remain even after changing jobs. Progress and performance can be viewed in tables and trend graphs.

[0252] In this way, the sales, rental and management support system 2 of this embodiment integrates property search, sales support and CRM operations, further improving sales efficiency and centralizing ledger management to reduce the workload of sales staff and stores (companies).

[0253] <Sales Training System 65> The sales, rental, and management support system 2 according to this embodiment performs property search, sales, customer follow-up, and ledger management in accordance with the customer's desired conditions, as well as the individual sales staff in charge of these tasks and the real estate stores (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, · Visualize your current individual level, · The system fee for the sales, rental and management support system 2 will be automatically reduced according to the performance of employees and the company. We provide a sales training system 65 as an educational system and incentives to guide it.

[0254] This sales training system 65 is provided with various programs based on data stored in the database 14 of each store (company) and the database 18 dedicated to the sales staff of each store by the second cloud server or a higher-level cloud server (not shown). Examples of these programs include rental sales level certification, sales nomination system, rental specialty certification, company rankings and discounts on system usage fees, the Rental Sales Grand Prix and its rewards (Rental Sales Grand Prix), and certification marks. These are explained below.

[0255] [Rental Sales Level Certification] This certification can be used for bonus evaluations, job position evaluations, hiring decisions, etc. An ID (which remains the same even if the employee changes jobs) is issued to each individual sales staff member by the system company (or its related organizations, public interest corporations, etc.) that provides the sales, rental, and management support system 2. This makes it possible to visualize the individual level of sales ability. This visualization can be used as a reference when hiring, for salary increases, and for promotion evaluations, etc. The rental sales levels defined in this embodiment are, for example, as follows:

[0256] Level 1: Viewing a seminar on how to use the system (available in the system with each sales staff member's ID → automatically certified after viewing) Level 2: Complete the system role-playing training and attribute app game Level 3: System Role-Playing Certification Level 4: 15 or more contracts closed per month for three consecutive months Level 5: 20 or more contracts closed per month for 3 consecutive months · Rental Crown Sales Certification: Rental Sales Grand Prix Winner → 1st to 5th place or 20 or more monthly contracts closed for 6 consecutive months Furthermore, depending on the certification, employees can wear a certification mark on their business cards and can include it on their resumes when changing jobs. Furthermore, employees can receive a certificate, which increases their incentive. Furthermore, each store's website can display the certification mark for each certified employee and the number of certified employees, which contributes to improving customer trust.

[0257] [Sales nomination system] This nomination system is recommended for stores (companies) in areas where they cannot receive one month's commission from their customers, or for stores and companies that want to increase their commission but don't know how. They can adopt a nomination system for their sales staff. The commission varies depending on the sales rank. The higher the rank, the higher the commission.

[0258] Example) Up to level 2: Brokerage fee is 50% of one month's salary Level 3: Brokerage fee is 70% of one month's rent Level 4: Brokerage fee is 80% of one month's salary Level 5: Brokerage fee is 100% of one month's rent If no sales person is designated, the commission will be 50% regardless of the sales staff. As a company, the sales staff will grow and performance (as the average customer price increases) will improve. As individuals, their performance will improve and their commission will increase, and as customers, they will be able to receive service from higher-ranking sales staff.

[0259] [Rental Specialty Certification] This is a qualification system for sales staff, which is expected to increase pride in their work and improve incentives. It is set up for each specialty.

[0260] Property Photography Specialty: After passing the practical training and test, you will be certified as a property photography specialist. Photos (images) are an important element in property hunting, as they determine the first impression.

[0261] · Rental Good Sales Certification: Participants receive two days of special training (teaching secret techniques) from an experienced instructor, and on the final day, they must pass a role-playing game with the instructor to be certified.

[0262] The role-playing game is conducted using the sales staff's personal device PT (see Figure 1). Through this role-playing game, they can practice interacting with customers they are pursuing and customers who have applied. They can also watch videos of actual role-playing exercises using actual on-site presentation materials. In this case, the role-playing exercise pauses after each page, allowing them to practice each page individually. Sales staff can also record their own role-playing exercises and store them in the role-playing app. They can record while viewing presentation materials. Furthermore, the role-playing exercise allows them to practice how to respond to different types of customers through multiple-choice quizzes. Completing this game can be set as one of the conditions for achieving Level 2 rental sales certification.

[0263] Once you are certified as a rental specialty, you can wear the certification mark on your business card. Furthermore, you can state that you are a rental specialty certified on your resume when changing jobs. Of course, you will also receive a certificate to prove it.

[0264] [Company rankings and system usage fee discounts] This is a ranking system that is provided not only as an incentive for the company, i.e. the store, but also as a measure to improve profits. Specifically, the system ranks stores as shown below, and system usage fees are reduced (discounted) depending on the rank.

[0265] Rank 1: Level 2 sales ratio 70% or more → 〇% discount Rank 2: Level 3 sales ratio 70% or more → 〇% discount Rank 3: Response rate over 50% compared to the previous year for three consecutive months → 〇% discount Rank 4: Overall monthly contract number increased by 10% or more compared to the previous year, 3 times a year → 〇% discount Rank 5: Overall monthly contract number increased by 30% or more compared to the previous year, 3 times a year → 〇% discount Rank 6: Overall monthly contract number increased by 50% or more compared to the previous year, 3 times a year → 〇% discount Rank 7: Overall monthly contract number increased by 70% or more compared to the previous year, 3 times a year → 〇% discount Rank 8: Overall monthly contract number increased by 70% or more compared to the previous year, 6 times a year → 〇% discount Rank 9: Overall monthly contract number increased by 80% or more compared to the previous year, 6 times a year → 〇% discount Rank 10: Overall monthly contract number increased by 80% or more compared to the previous year for 6 consecutive months → 〇% discount

[0266] [Rental Sales Grand Prix and its rewards (Rental Sales Grand Prix)] This Rental Sales Grand Prix is ​​also set up for stores with sales staff. The winners of the Rental Sales Grand Prix (up to 5th place) will be recorded as Rental Crown Sales Certified and will receive a prize.

[0267] The entry requirements for this Rental Sales Grand Prix are 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 second place winner will receive a XX% discount for one year at the store where they are assigned. The third place winner will receive a XX% discount for one year at the store where they are assigned. The fourth place winner will receive a XX% discount for one year at the store where they are assigned. The 5th place winner will receive a XX% discount for one year at the store they are assigned to. Combinations can offer discounts on period settings and system usage fees, such as:

[0268] Furthermore, a host server (also simply called the system), such as a cloud server (not shown) that manages this system, periodically accesses databases 14 and 18 to collect data on the sales staff and real estate stores that correspond to the various programs mentioned above, and determines various sales performances and levels from the collected data. The results of this determination are communicated to the stores and sales staff via the communication network 4 at appropriate times. In the case of a rental sales level certification method

[0269] The system keeps track of the number of contracts each individual has (conditions include payment of brokerage fees and completion of uploading of contract ledger), and certifies each level when the conditions are met. The final certification is carried out by the person in charge at that company. After certification, the system will add a message to the individual's account informing them of the certification and a certification mark. From the certification mark, it is possible to proceed to the "Level Explanation Page (System Company)". The system will add the individual's ID and name to the certification mark. The certification mark can also be downloaded as a PDF. Additionally, certification certificates, sales performance certificates, and contract number certificates can be issued within each account. In the case of company rankings

[0270] The system checks each company's sales, and when the conditions are met (based on payment of brokerage fees and completion of contract ledger upload), it automatically sends a rank-up message and assigns a rank certification mark to each company account. From the certification mark, it is possible to proceed to the "Rank Explanation Page (system company)". The certification mark is automatically assigned with the company ID and company name. A message to that effect is also sent to the system company, and the company is certified once the person in charge makes the final certification. <Second embodiment> A second embodiment of the present invention will be described with reference to FIGS.

[0271] This second embodiment provides a property avatar video automatic generation function, which can be set to play on a monitor in the real estate store so that customers who visit can view it themselves at any time, but it is preferably implemented in combination with the sales, rental, and management support system 2 according to the first embodiment described above.

[0272] 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. Hereinafter, components that are the same as or have equivalent functions to those described in the first embodiment will be given the same reference numerals, and their description will be simplified or omitted.

[0273] In the second embodiment, the property avatar video automatic generation function is a function provided by the second cloud server 10, the AI ​​engine 12, and the tablet 40 in cooperation with each other in the above-described property registration system 61, as shown in FIG.

[0274] That is, in the first embodiment described above, after the property registration is complete, the address is automatically entered into "Property Details" (Google Maps and the hazard map portal site at the same time. Also, the nearest station in the property details is automatically entered into Google Maps to display the route, and the following information is added: "Property Comments", "Photo Comments", "Google Maps (explanation to display the property location, nearest station, property and nearest station route to encourage confirmation of the location and route to the station)", "Google Street View to encourage confirmation of the area around the property", "explanation to display hazard map to encourage confirmation of the location", and "System Explanation".

[0275] The second cloud server 10 uses the AI ​​engine 12 to generate an AI avatar video (property registrant) using the generation AI that stores the above-mentioned registration and additional information. The AI ​​avatar video is then automatically stored in each "property video folder" reserved in the database 14 within the company's dedicated cloud, along with the file name and property name. If the property registrant subsequently wants to use the video, they can register it on each portal site. The AI ​​avatar video is generated using a photo of the sales staff member or a desired character (see Figure 20).

[0276] As a result, by starting the AI ​​avatar video, the AI ​​avatar will be able to provide images and audio. Property details: Explain the property name, room number, rent, maintenance fee, room type (1LDK, etc.), square meters, address, location (display Google Maps at the same time and mark the property's location), and walking distance to the station (display the route from the location to the nearest station on Google Maps). Property comment ⇒ A photo of the exterior is displayed, and a comment is automatically generated based on the property registration details and explained (see Figures 21 and 22).

[0277] Furthermore, the comments posted on portal sites and websites are intentionally different in content.

[0278] Property photo comments ⇒ Room or living room, kitchen, bathroom, security, exterior have already been registered.

[0279] Explain your comments while showing the photo.

[0280] By using AI avatar videos in this way, the workload of sales staff can be reduced and explanations can be made easier to understand.

[0281] The real estate properties to which the sales, rental and management support system is applied may be condominiums, detached houses, etc., as long as there is a flow in which a real estate store (or real estate company) searches for properties for customers from an inter-company distribution site and provides an explanation of the properties in the store. [Explanation of symbols]

[0282] 2. Real estate property sales, rental, and management support system (Real estate property sales, rental, and management support system: Information processing system) 6. Cloud dedicated to store A (company) 8. First Cloud Server 10 Second Cloud Server 12 AI Engine 14 Database 16 Intercompany Distribution Site 18 Database (for sales staff) 22 Management Company 26 Advertising media providers 32, 34, 36 Real estate store (real estate company) 32A, 32B, 36A Store Computers 40 tablets (customer use) 60 Functionally constructed Klein management system (management department, management means) 61 Functionally constructed property registration system (property registration unit, property registration means) 62 Functionally constructed sales support system (sales support department, sales support means: including property information conversion function) 63 Functionally constructed CRM system (customer tracking department, customer tracking method) 64 Functionally constructed ledger management system (ledger management unit, ledger management means) 65 Functionally constructed sales training system (sales training department, sales training methods)

Claims

1. Cloud servers (8, 10) installed in a cloud (6) constructed on a communication network (4) and executing computer programs related to the sales and management of rental real estate properties handled by real estate stores (32, 34, 36); store computers (32A, 34A, 36A) operated by sales staff of the real estate stores, the store computers (32A, 34A, 36A) being provided in the real estate stores (32, 34, 36) and communicably connected to the cloud servers (8, 10) via the communication network (4); an electronic terminal (40) operable by a customer who desires a rental real estate property and communicably connected to the cloud server (8, 10) via a communication network (38) in the store (32, 34, 36) and the communication network (5); The cloud servers (8, 10) a first information processing means (8: first cloud server) for processing 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)); and a second information processing means (10: second cloud server) that receives information about the rental real estate property from the first information processing means (8) and stores it in a database (14), and controls the exchange of information about the rental real estate property between each of the store computers (32A (34A, 36A)) and each of the real estate stores (32 (34, 36)), The terminal (40) a questionnaire display means for displaying a questionnaire in a predetermined format on a screen, the questionnaire including personal information including the customer's name and desired conditions for the rental real estate property; a questionnaire entry prompting means for prompting the customer to fill out the questionnaire on a screen; a questionnaire information transmission means for transmitting content information of the questionnaire filled out by the customer to the second information processing means (10) via each store computer (32A (34A, 36A)), The second information processing means (10) a survey information receiving means for receiving the survey content information transmitted from the survey information transmitting means; a property information acquisition means for searching the database (14) according to the content information of the questionnaire received by the questionnaire information receiving means, and acquiring information on rental real estate properties that meet the desired conditions; an acquired property transmitting means (10) for transmitting the information on the rental real estate property acquired by the property information acquiring means to each store computer (32A (34A, 36A)) and the terminal (40); attribute determination means (10) for determining attributes, which are characteristics of the customer, from the content information of the questionnaire received by the questionnaire information receiving means; a selective transmission means for transmitting information relating to the attributes of the customers determined by the attribute determination means or information generated from the attributes to both the store computers (32A (34A, 36A)) and the terminals (40) or selectively, depending on the contents of the attributes of the customers determined by the attribute determination means; A real estate property buying, selling, leasing and management support system (2) characterized by comprising:

2. The attribute determination means includes an AI (artificial intelligence) model, and a processing means for causing the AI ​​model to learn the attributes and correspondences depending on the contents of the attributes; The contents of the questionnaire are entered into the AI ​​model, and the type and attributes of the customer are determined by a processing means using AI from a customer chart that the sales staff has filled out after interviewing the customer, thereby obtaining information indicating the response.

2. The real estate property buying, selling, leasing and management support system according to claim 1, wherein the acquired information is selectively transmitted to both or one of said terminal and said store computer.

3. The questionnaire format has fields for entering the customer's name, age, sex, address, occupation, and years of employment as the personal information, The real estate property sales, rental, and management support system described in claim 1, characterized in that the attribute determination means is configured to enter at least the age or the occupation, and begin determining the attributes when the age or occupation type is received via the questionnaire information sending means and the questionnaire information receiving means.

4. The real estate property sales, rental, and management support system described in claim 2, characterized in that the attributes include a determination factor as to whether the contract will be able to pass the guarantor company's screening when the customer finally applies for the rental real estate property.

5. The real estate property buying, selling, leasing and management support system of claim 2, wherein the judgment factors include at least one of the following: whether the customer or the payer after signing the rental property contract has late credit card payments, whether they have arrears on their mobile phone payments, whether they have changed their mobile phone number in the last few years, whether they have ever been behind on their rent payments, and whether they need to keep pets.

6. The second information processing means a sales message creation means for creating a sales message dedicated to the sales staff according to the level of the judgment factors, the sales message including at least measures for passing the examination; a sales message sending means for sending the sales message created by the sales message creating means only to the store computer; 5. The real estate property buying / selling / leasing / management support system according to claim 4, further comprising:

7. 7. The real estate property buying, selling, leasing and management support system according to claim 6, wherein the sales message includes measures to lead the customer to abandon the application.

8. The real estate property buying, selling, leasing and management support system described in claim 6, characterized in that the sales message includes a message that verbally urges the customer to correct any inaccuracies in the questionnaire, including insufficient information filled in on the format or incorrect information filled in by the sales staff, at any time.

9. The real estate property buying, selling, leasing and management support system described in claim 6, characterized in that the attribute determination means, the attribute transmission means, the sales message creation means, and the sales message transmission means are configured to be executed each time the customer fills out each item in the format until the questionnaire is completed.

10. The real estate property buying, selling, leasing and management support system according to claim 9, characterized in that, of the attribute determination means, the attribute transmission means, the sales message creation means, and the sales message transmission means, at least the attribute determination means and the sales message creation means include an AI processing means for training an AI (artificial intelligence) model using training data.

11. The real estate property buying, selling, leasing and management support system described in any one of claims 1 to 10, characterized in that the property information acquisition means is configured to acquire one or more rental real estate property candidates that meet the desired conditions from the site, and to automatically create presentation materials for the sales staff containing the reasons for the acquisition of the candidates and the acquired candidates.

12. Cloud servers (8, 10) installed in a cloud (6) constructed on a communication network (4) and executing computer programs related to the sales and management of rental real estate properties handled by real estate stores (32, 34, 36); store computers (32A, 34A, 36A) operated by sales staff of the real estate stores, the store computers (32A, 34A, 36A) being provided in the real estate stores (32, 34, 36) and communicably connected to the cloud servers (8, 10) via the communication network (4); a terminal (40) operable by a customer who desires a rental real estate property and communicably connected to the cloud server (8, 10) via a communication network (38) in the store (32, 34, 36) and the communication network (5); The cloud servers (8, 10) a property information acquisition means (10, 8) for instantly acquiring information on rental real estate properties that meet the desired conditions of customers who visit the real estate store from the inter-company distribution site (16); a property information rewriting means (10) for rewriting the content of the property information acquired by the property information acquisition means in accordance with a predetermined algorithm so as to increase the number of high-quality responses when advertising the property information; an advertisement posting means (10) for posting the property information rewritten by the property information rewriting means on an advertising site; A real estate property buying, selling, leasing and management support system characterized by the above.

13. The real estate property buying, selling, renting and management support system described in claim 12, characterized in that the property information acquisition means and the property information rewriting means are configured to automatically include in the rewriting as property features comments obtained by automatic generation using an AI model that has learned how to increase the number of high-quality responses from a questionnaire conducted with the person who took the photo of the rental real estate property or the person who registered the property, the registration details of the property, and actual photos of the property.

14. The property information acquisition means and the property information rewriting means use an AI model with an image recognition function to decipher what equipment is available from the registered property photos of the rental real estate property, and if there is any information missing from the equipment items of the property, 13. The real estate property buying, selling, leasing and management support system according to claim 12, characterized in that said system is configured so that said decoded facility information is automatically included in said registered contents of said property in said rewriting.

15. The real estate property buying, selling, leasing and management support system described in claim 12, wherein the property information rewriting means is equipped with an AI (artificial intelligence) model that has been trained under the algorithm using learning data, and the output of the AI ​​model is configured to provide the rewritten property information.

16. Cloud servers (8, 10) installed in a cloud (6) constructed on a communication network (4) and executing computer programs related to the sales and management of rental real estate properties handled by real estate stores (32, 34, 36); store computers (32A, 34A, 36A) operated by sales staff of the real estate stores, the store computers (32A, 34A, 36A) being provided in the real estate stores (32, 34, 36) and communicably connected to the cloud servers (8, 10) via the communication network (4); a terminal (40) operable by a customer who desires a rental real estate property and communicably connected to the cloud server (8, 10) via a communication network (38) in the store (32, 34, 36) and the communication network (5); The cloud servers (8, 10) a property information acquisition means (8, 10) for acquiring information on rental real estate properties that meet the desired conditions of customers who visit the real estate store from the inter-company distribution site (16); an advertisement posting means (10) for posting the property information acquired by the property acquisition means on an advertising site; and a customer follow-up execution means (10) for operating a CRM (customer relationship management) system in response to an inquiry from a customer who has viewed the advertising site, and following up on the customer; The following means (10) is First, a query means for sending a thank you email from the representative of the real estate store to the inter-company distribution site to inquire about the rental real estate property of the inquiry; a representative AI avatar video creation means for creating an AI avatar video of the representative with audio, which informs the status of the rental real estate property according to the inquiry result; a first video sending means for sending the AI ​​avatar video created by the representative AI avatar video creation means to the customer who has made the inquiry as first follow-up information; A real estate property buying, selling, leasing and management support system characterized by the above.

17. the tracking means includes a re-inquiry means for the salesperson of the real estate store who received the inquiry to re-inquire about the rental real estate property of the inquiry to the inter-company distribution site after sending the first tracking information; a salesperson AI avatar video creation means for creating an AI avatar video with the salesperson's voice that notifies the current status of the rental real estate property according to the inquiry result of the re-inquiry means; a second video sending means for sending the staff member AI avatar video created by the staff member AI avatar video creation means to the customer who made the inquiry as second follow-up information; 17. The real estate property buying / selling / leasing / management support system according to claim 16, further comprising:

18. The customer tracking means is The real estate property buying, selling, leasing and management support system as described in claim 16 or 17, characterized in that it is further equipped with another video sending means that, even after the second follow-up information is sent by the second video sending means, automatically creates another staff member AI avatar video at a preset frequency, adding information that gradually deepens the content of the information about the rental real estate property that has been inquired about, and sends this other staff member AI avatar video to the customer who has made the inquiry as additional follow-up information.

19. The tracking means is configured to send the tracking information for the fifth time and thereafter, The real estate property buying, selling, leasing and management support system described in claim 18 is configured so that the follow-up information sent from the fifth time onwards is arranged by the sales staff based on the desired conditions of the property that the AI ​​infers from the customer's feedback, and the AI ​​extracts two properties from the inter-company distribution site every day with the arranged desired conditions, determines whether the extracted properties have already been distributed, and only if they have not been distributed continues to distribute the information to the customer with information that the conditions have changed until the customer requests that the distribution be stopped.

20. When the property extracted from the inter-company distribution site is a new property, the tracking means delivers the property preferentially with a notice indicating that the property is a new property; The AI ​​automatically generates the person in charge avatar from the property introduction information of the new property and includes it in the follow-up information.

20. The real estate property buying, selling, leasing and management support system according to claim 19.

21. The real estate property buying, selling, leasing and management support system described in claim 18, characterized in that the AI ​​avatar that handles the first, second and additional follow-up customer information is configured to output messages in voice and text encouraging customers to visit the real estate store.

22. Cloud servers (8, 10) installed in a cloud (6) constructed on a communication network (4) and executing computer programs related to the sales and management of rental real estate properties handled by real estate stores (32, 34, 36); store computers (32A, 34A, 36A) operated by sales staff of the real estate stores, the store computers (32A, 34A, 36A) being provided in the real estate stores (32, 34, 36) and communicably connected to the cloud servers (8, 10) via the communication network (4); a terminal (40) operable by a customer who desires a rental real estate property and communicably connected to the cloud server (8, 10) via a communication network (38) in the store (32, 34, 36) and the communication network (5); The cloud servers (8, 10) A sales means for acquiring information on rental real estate properties that meet the desired conditions of a customer who visits the real estate store from the inter-company distribution site (16) in cooperation with the sales staff of the real estate store, and aiming to conclude a contract for the rental real estate property that the customer desires based on the information; a ledger data calculation means for calculating accounting ledger data including the income and commission of the real estate store and the sales staff in connection with the closing of the contract; a storage means for separately storing the income of the real estate store calculated by the ledger data calculation means and the commission of the sales staff; A real estate property buying, selling, leasing and management support system characterized by the above.

23. The cloud servers (8, 10) The real estate property buying, selling, leasing and management support system of claim 22, further comprising a sales education system that provides sales education support by providing an education program including sales skills for the sales staff and sales incentives for the real estate store in order to increase the sales of the sales staff.

24. Cloud servers (8, 10) installed in a cloud (6) constructed on a communication network (4) and executing computer programs related to the sales and management of rental real estate properties handled by real estate stores (32, 34, 36); store computers (32A, 34A, 36A) operated by sales staff of the real estate stores, the store computers (32A, 34A, 36A) being provided in the real estate stores (32, 34, 36) and communicably connected to the cloud servers (8, 10) via the communication network (4); an electronic terminal (40) operable by a customer who desires a rental real estate property and communicably connected to the cloud server (8, 10) via a communication network (38) in the store (32, 34, 36) and the communication network (5); The cloud servers (8, 10) a first information processing means (8: first cloud server) for processing 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)); and a second information processing means (10: second cloud server) that receives information about the rental real estate property from the first information processing means (8) and stores it in a database (14), and controls the exchange of information about the rental real estate property between each of the store computers (32A (34A, 36A)) and each of the real estate stores (32 (34, 36)), The terminal (40) a questionnaire display means for displaying a questionnaire in a predetermined format on a screen, the questionnaire including personal information including the customer's name and desired conditions for the rental real estate property; a questionnaire entry prompting means for prompting the customer to fill out the questionnaire on a screen; a questionnaire information transmission means for transmitting content information of the questionnaire filled out by the customer to the second information processing means (10) via each store computer (32A (34A, 36A)), The second information processing means (10) a survey information receiving means for receiving the survey content information transmitted from the survey information transmitting means; a property information acquisition means for searching the inter-company distribution site according to the content information of the questionnaire received by the questionnaire information receiving means, and acquiring information on rental real estate properties that meet the desired conditions; an acquired property transmitting means for transmitting the information on the rental real estate property acquired by the property information acquiring means to each store computer (32A (34A, 36A)) and the terminal (40); The second information processing means (10) comprises a processing means having an AI (artificial intelligence) model, The processing means causes the AI ​​model to learn the attributes of the customer and correspondence depending on the contents of the attributes, The system is configured to input the contents of the questionnaire into the AI ​​model, and to have a processing means use AI to determine the type and attributes of the customer from the customer chart that the sales staff has filled out after interviewing the customer, and if an additional presentation showing the individual response is required, to give advice to the customer based on the additional presentation along with the basic presentation.

25. The real estate property buying, selling, leasing and management support system described in claim 24, characterized in that the processing means is configured to detect predetermined keywords in the words uttered by the customer, and when the keyword is uttered, to send an alert message indicating this to the sales staff, and to visualize the words a predetermined time before and after the keyword and send them in the sales message.

26. The real estate property sales, rental and management support system described in claim 24 is configured to generate an AI avatar video explaining the information to be registered, including property details, property comments, property photos and property photo comments, when registering information about a rental real estate property acquired by the property information acquisition means, and store the video in a predetermined dedicated video folder.

27. an area introduction means for allowing the customer to specify the area where he or she is currently located on the terminal while viewing an actual rental real estate property, and for causing a sales AI avatar to introduce the area; The real estate property buying, selling, leasing and management support system described in claim 24, characterized in that the area is a range of a predetermined distance from the nearest station or an administrative unit of each city, town or village, and the content to be introduced is information including local characteristics, public facilities, shopping facilities and security conditions that is collected in advance by sales staff who have actually seen the area or by driving an unmanned vehicle.

28. The terminal has a measurement function and a function for taking photos and videos, The real estate property sales, rental and management support system described in claim 24 is configured so that the customer, while viewing an actual rental real estate property, operates the terminal to activate the measuring function, the photo taking function and / or the video recording function, and stores the obtained measurements, photos and / or videos in a designated folder on the terminal.

29. Cloud servers (8, 10) installed in a cloud (6) constructed on a communication network (4) and executing computer programs related to the sales and management of rental real estate properties handled by real estate stores (32, 34, 36); store computers (32A, 34A, 36A) operated by sales staff of the real estate stores, the store computers (32A, 34A, 36A) being provided in the real estate stores (32, 34, 36) and communicably connected to the cloud servers (8, 10) via the communication network (4); a terminal (40) operable by a customer who desires a rental real estate property and communicably connected to the cloud server (8, 10) via a communication network (38) in the store (32, 34, 36) and the communication network (5); The cloud servers (8, 10) An AI (artificial intelligence) model is made to learn the attributes of the customer and responses based on the contents of the attributes, The information processing device is characterized by comprising a processing means configured to input the contents of the questionnaire and to have the AI ​​model determine the type and attributes of the customer from the customer chart filled out by the sales staff after interviewing the customer, and if an additional presentation showing the individual response is required for the customer, to give advice to the customer based on the additional presentation together with the basic presentation.

30. The information processing device according to claim 29, characterized in that the processing means also inputs into the AI ​​model any problems regarding the current living situation described in the contents of the questionnaire and / or any questions that the customer would like to ask the sales staff, and sends to the sales staff an additional presentation showing the response.

31. The information processing device according to claim 30, characterized in that the processing means also inputs into the AI ​​model problems regarding the current living situation described in the contents of the questionnaire and / or matters that the customer would like to ask the sales staff, and sends to the sales staff the additional presentation showing a predetermined number of important points that indicate the response.

32. Cloud servers (8, 10) installed in a cloud (6) constructed on a communication network (4) and executing computer programs related to the sales and management of rental real estate properties handled by real estate stores (32, 34, 36); store computers (32A, 34A, 36A) operated by sales staff of the real estate stores, the store computers (32A, 34A, 36A) being provided in the real estate stores (32, 34, 36) and communicably connected to the cloud servers (8, 10) via the communication network (4); a terminal (40) that can be operated by a customer who desires a rental real estate property and is communicably connected to the cloud server (8, 10) via a communication network (38) in the store (32, 34, 36) and the communication network (5), An AI (artificial intelligence) model is made to learn the attributes of the customer and responses based on the contents of the attributes, The information processing method is characterized by comprising a processing means configured to have the AI ​​model determine the type and attributes of the customer from the contents of the questionnaire and the customer chart filled out by sales staff after interviewing the customer, and to provide advice to the customer based on the additional presentation together with the basic presentation if an additional presentation showing the individual response is required for the customer.

33. A cloud server that is installed in a cloud built on a communication network and that sells and manages rental real estate properties handled by real estate stores; a store computer that is installed in the real estate store and is communicably connected to the cloud server via the communication network and is operated by a sales staff member of the real estate store; a terminal that can be operated by a customer who desires a rental real estate property and is communicably connected to the cloud server via a communication network within the store and the communication network; In the system, the cloud server is configured to read and execute a program stored in a non-transitory recording medium on a computer that is arranged on the cloud server and that performs the sales and management functions, thereby Processing the real estate property information provided from the inter-company distribution site for each of the real estate stores; receiving the information on the rental real estate property and controlling the exchange of information on the rental real estate property with each of the store computers for each of the real estate stores; A questionnaire in a predetermined format containing personal information including the customer's name and desired conditions for the rental property is displayed on the terminal; Prompt the customer to fill out the questionnaire on a screen; transmitting content information of the questionnaire filled out by the customer to the cloud server via each store computer; The cloud server receiving the content information of the transmitted questionnaire; Searching the inter-company distribution site according to the content information of the received questionnaire, and acquiring information on rental real estate properties that meet the desired conditions; transmitting the acquired information on the rental real estate property to each of the store computers and the terminal; determining attributes, which are characteristics of the customer, from the content information of the received questionnaire; transmitting information relating to the determined attributes of the customer or information generated from the attributes to both the store computers and the terminals or selectively to the store computers and the terminals according to the determined attributes of the customer; A computer program characterized by causing a computer to function as follows.

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