System for supporting sale, rental, and management of real estate property

Abstract

To save the labor of sales staff in a real estate store or the like to serve rental real estate properties and to contribute to the improvement of labor shortage.SOLUTION: The real estate property sales / rental / management support system 2 includes cloud servers that are installed in the cloud and execute computer programs related to business support of rental real estate property sales, shop computers 32A to 32C that are installed in real estate shops, are communicably connected to the cloud servers, and are operated by sales staff, AI engines, and shop terminals 40. The AI engine generates an interactive AI avatar that interacts with a person by voice and video in response to a command of the shop computer, and the cloud servers control the AI engine and the shop terminals so that the customer performs a procedure desired by the customer among a plurality of procedures from a search for a rental real estate property desired by the customer to an actual tour of the rental real estate property on the shop terminals by interacting with the AI avatar by himself / herself based on a request of the customer visiting the real estate shop.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a support system for supporting the buying, selling, leasing and management of real estate properties, and more particularly to a semi-self-service support system in which customers themselves carry out part of the procedures for applying for a rental real estate property. [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 at real estate stores (real estate companies) before viewings of real estate properties, particularly rental 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 object of the present invention is to provide a support system that allows customers to carry out part of the procedures related to applying for a rental property themselves at stores that buy, sell, rent, and manage rental real estate properties, thereby contributing to alleviating labor shortages at stores, etc. [Means for solving the problem]

[0024] In order to achieve the above object, a system for supporting the buying, selling, leasing, and management of real estate properties according to one aspect of the present invention comprises: Cloud servers (8, 10) installed in a cloud (6) constructed on a communication network (4) and executing computer programs related to sales support for 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 AI engine (12) that generates an interactive AI avatar that can converse with people through voice and video in response to commands from the store computer and is equipped with an AI (artificial intelligence) model that has been trained in advance using data on brokerage sales of rental real estate properties; a store terminal (40) operable by a customer who desires to rent a real estate property and communicably connected to a communication network (38) within the store (32, 34, 36) and the cloud server (8, 10) via the communication network (4); The cloud server (8, 10) a first information processing means (8: first cloud server) for acquiring information on the real estate property from an inter-company distribution site (16) in response to a request from the store computer (32A, 34A, 36A); a second information processing means (10: second cloud server) that converts the information about the rental real estate property acquired by the first information processing means (8) into property information for advertisement placement, and exchanges information about the rental real estate property with each store computer (32A (34A, 36A)); The second information processing means and an AI avatar control means for controlling the AI ​​engine and the store terminal so that the customer who visits the real estate store can perform the procedures desired by the customer himself / herself through interaction with the AI ​​avatar on the store terminal at the store, among a plurality of procedures from searching for a rental property desired by the customer based on the request of the customer to actually viewing the rental property. A semi-self-service rental real estate sales support system is provided.

[0025] According to another aspect, a cloud server (8, 10) is installed in a cloud (6) constructed on a communication network (4) and executes a computer program related to sales support for 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; and an AI engine (12) that generates an interactive AI avatar equipped with an AI (artificial intelligence) model that can converse with people through voice and video in response to commands from the store computer and that has been trained in advance using data on brokerage business of rental real estate properties. The cloud server (8, 10) a first information processing means (8: first cloud server) for acquiring information on the real estate property from an inter-company distribution site (16) in response to a request from the store computer (32A, 34A, 36A); a second information processing means (10: second cloud server) that converts the information about the rental real estate property acquired by the first information processing means (8) into property information for advertising purposes and exchanges information about the rental real estate property with each store computer (32A (34A, 36A)); a downloading means for downloading, via the network, an application to a personal terminal held by the customer, in response to a request from the customer, for the customer to carry out a series of procedures online and by himself / herself, from searching for a rental property desired by the customer to actually viewing the rental property, at a location outside the store; Equipped with The second information processing means has an AI avatar control means for controlling the AI ​​engine and the personal terminal so that the customer can perform the series of procedures by interacting with the AI ​​avatar on the personal terminal by starting the application downloaded to the personal terminal by the download means. A self-service rental property sales support system.

[0026] In the semi-self-service rental property sales support system mentioned above, when a customer who wishes to rent a property visits a real estate store, they can carry out some of the various procedures (steps) themselves on the store's terminal by interacting with an AI avatar, from searching for the property they want to actually viewing the property on site.

[0027] In addition, in the case of the self-service rental property sales support system mentioned above, customers can use an application they download in advance to carry out a series of procedures online and self-service, up to and including viewing the actual rental property, through interactions that include dialogue with an AI avatar on their own mobile phone or other device.

[0028] Therefore, both the semi-self-service and self-service methods allow real estate stores to reduce the workload of their sales staff, and also enable them to serve multiple customers at the same time, improving work efficiency. This helps to alleviate the labor shortage at real estate stores. [Brief explanation of the drawings]

[0029] In the accompanying drawings: [Figure 1] FIG. 1 is a block diagram illustrating an outline of a semi-self-service purchase, rental, and management support system as a support system for supporting the purchase, sale, rental, and management of real estate properties according to a first embodiment; [Figure 2] FIG. 2 is a block diagram showing the configuration shown in FIG. 1 in more detail. [Figure 3] Figure 3 is a functional block diagram for supporting the buying, selling, leasing, and management of real estate properties, which operates mainly on the second cloud server (second processor) in Figure 1. [Figure 4] FIG. 4 is a flowchart outlining the processing executed by a functional sales support system that supports the sale of rental real estate properties in a semi-self-service manner according to the first embodiment. [Figure 5] FIG. 5 is a flowchart illustrating an outline of the processing executed by the sales support system that supports the sale of rental real estate properties in a semi-self-service manner, following FIG. [Figure 6] FIG. 6 is a flowchart illustrating an outline of the processing executed by the sales support system that supports the sales of rental real estate properties in a semi-self-service manner, following FIG. [Figure 7]FIG. 7 is a flowchart illustrating an outline of the processing executed by the sales support system that supports the sales of rental real estate properties in a semi-self-service manner, following FIG. [Figure 8] FIG. 8 is a flowchart illustrating an outline of the processing executed by the sales support system that supports the sales of rental real estate properties in a semi-self-service manner, following FIG. [Figure 9] FIG. 9 is a block diagram illustrating an outline of a purchase, rental, and management support system using a pre-visit self-sales system as a support system for supporting the purchase, sale, rental, and management of real estate properties according to a second embodiment; [Figure 10] 10 is a functional block diagram for supporting the buying, selling, leasing, and management of real estate properties, which operates mainly on the second cloud server (second processor) in FIG. 9, according to the second embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0030] The present invention will be described with reference to a system for supporting the buying, selling, leasing, and management of real estate properties. In the following description of the embodiments, this system is implemented as a semi-self-service and self-service rental real estate property buying, selling, leasing, and management support system. These will be described with reference to the accompanying drawings.

[0031] First Embodiment System Overview First, the semi-self-service rental real estate property buying, selling, leasing, and management support system according to the first embodiment is provided as an information processing system for rental real estate. Therefore, first, an overview of the rental real estate property buying, selling, leasing, and management support system will be explained. The configuration of this support system is similarly applied to the second embodiment.

[0032] This rental real estate property buying, selling, leasing, and management support system (or simply support system) is a system in which a cloud server built on the Internet, which is an example of a communications network, provides various types of functional information processing, and in this embodiment, the system is used to carry out the buying, selling, leasing, and management of rental real estate properties such as rental apartments, rental condominiums, and rental stores in a semi-self-service manner.Of course, this real estate property is not limited to rental real estate properties, and it can also be a condominium property for sale.

[0033] In this embodiment, a customer who visits a real estate store for the first time to consult about a property is called a client.

[0034] In addition, support for buying, selling, leasing, and management means supporting the buying, selling, leasing, and management of real estate properties. In the case where rental real estate properties are for sale, 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 includes inclusively:

[0035] 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 computer of the real estate store that handles the rental of the real estate property. The computer installed in this real estate store is operated by the sales staff of the store, so the process related to this rental contract support, including some processing (procedures) that the customer performs themselves in the store in a semi-self-service manner, can also be said to be a system in which a computer system and a person work together when viewed from the entire process required to conclude a contract.

[0036] This collaborative processing includes an AI execution process that leaves at least a portion of the information processing for the store visit to AI (artificial intelligence) processing provided by a computer system. 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). In addition, 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 configured 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 used that are well known.

[0037] This AI engine (see Figure 1) is also configured to generate an interactive or explanatory AI avatar (sales AI avatar) using the face of a sales staff member or a virtual character, and to 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 and respond by recognizing the customer's voice. This AI avatar is also generated using a known method.

[0038] 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.

[0039] Next, referring to Figure 1, we will explain the overview of the configuration of a real estate property sales, rental, and management support system that provides a semi-self-service rental real estate property sales, rental, and management support system as part of the system, which includes the above-mentioned cloud server and a real estate store computer.

[0040] As shown in Figure 1, this 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 equipped with 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. Contracted rental real estate agents can browse these multiple intercompany distribution sites R1, R2, R3, ... Rn online through these intercompany distribution sites 16 (R1, R2, R3, ... Rn) and import the information into their own systems online. Property information on the intercompany distribution sites 16 (R1, R2, R3, ... Rn) is updated by the site provider for each site. 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.

[0041] As shown in FIG. 1, cloud 6 is depicted as if it were dedicated to one real estate store A, but similar systems can also be built at other real estate stores B and C, not shown. Therefore, this cloud 6 can also be considered part of system 6N, which also includes similar systems at multiple real estate stores. In other words, the provider of this cloud 6 sets up a cloud system for each contracted real estate store (company) as shown in FIG. 1, and operates system 6N, which collectively integrates these cloud systems 6. Therefore, cloud 6 may also be divided into multiple clouds, taking into consideration the number of contracted customers and the scale of customers.

[0042] 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 computer 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.

[0043] 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.

[0044] 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.

[0045] 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 the real estate property related to this embodiment, in particular the real estate property sales, rental, and management support system 2, and is inspected, maintained, and managed by that company.

[0046] The second cloud server 10 described above also has an interface (I / O) 10A that functions as an interface for communication with the outside world, and various computer 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.

[0047] As mentioned above, the AI ​​engine 12 is automatically operated by the second cloud server 10 when providing support to the store's sales staff in the sales and management of rental real estate properties. This AI engine is an AI processing unit that uses a so-called trained AI model, which has undergone machine learning with training data. This AI engine is programmed to support the store's sales staff as a behind-the-scenes supporter of sales activities. In this embodiment, the AI ​​engine is designed based on the inventive concept that the sales staff are the main players in sales. Supporting (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 the customer's desired conditions, each item is collected without omission using a document itemized as a questionnaire (chart). Furthermore, the AI ​​engine supports the sales activities of the sales staff by providing AI-based sales advice to the sales staff based solely on the collected information or information obtained while the sales staff is filling out the questionnaire.

[0048] 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.

[0049] 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.

[0050] 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.

[0051] 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.

[0052] In the cloud 6 according to this embodiment, the cloud server functions are divided and distributed to a first cloud server 8 that handles processing with an inter-company distribution site 18, and a second cloud server 10 that handles processing with a real estate store, which will be described later. However, whether or not this configuration is adopted 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 sales and management support according to this embodiment may be processed in parallel, for example, by executing them in a time-sharing manner.

[0053] 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.

[0054] 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 communicatively connected to the Internet 4. These computer systems 26A to 26C provide advertising sites.

[0055] Furthermore, this sales and management support system 2 includes an in-store network 38, such as Wi-Fi, established in each of one or more real estate stores 32, 34, and 36. Each store's computer 32A (34A, 36A) is communicatively connected via the in-store network 38. The store computer 32A (34, 36A) typically consists of one or more computers depending on the number of sales staff, each assigned to a different sales staff member. As shown in FIG. 2, each store computer 32A (34, 36A) includes an interface 33, a CPU (processor) 34, RAM 35, ROM 36, an input device 37, and a display 38, all of which are communicatively connected to each other internally and externally via an internal bus 39. The ROM 36 stores a predesigned computer program for the operation of the CPU 34. Therefore, the ROM 36 functions as a non-transient program storage element, and the CPU 34 can read the program upon startup. This computer program also includes a program for allowing the store to cooperate in the semi-self-service sales support according to the present invention.

[0056] Furthermore, in each real estate store 32 (34, 36), this support system 2, together with the store computer 32A (34A, 36A), 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.

[0057] 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 customers when they visit the store. The tablet 40 is equipped with a microphone and a camera, and is capable of communicating with the second processor 10 through the voice of an AI avatar used for sales purposes.

[0058] Therefore, the text information and voice 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).

[0059] Even when responding to the desired conditions for rental real estate submitted by the same customer in this way, one of the features of this support system 2 is that the store takes into consideration various factors such as the store's sales efficiency and the difference in experience of the sales staff, and separately generates information and instructions to show the sales staff and to encourage them to respond, so as to ensure high-quality sales that also ensures customer satisfaction as much as possible.Specific examples and details of this feature will become clear from the description below.

[0060] <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> <Overview of Cloud Server Functions> Before describing the detailed embodiment, FIG. 3 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, 10E, and 34, 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-related processes. The ROM 10E also pre-stores programs related to AI (artificial intelligence) processing for sales and management support. The second processor 10C can then instruct the AI ​​engine 12 to perform AI sales support processing, including AI model training (learning), and the generation of AI avatars for sales. Of course, the two processors may be integrated into one processor that performs both functions.

[0061] 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 18 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.

[0062] 3, 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. These functions include functions that the first processor 8C of the first cloud server 8 performs autonomously in accordance with a predetermined program (part of the functions of the property registration system 61), and functions that the second processor 10C of the second cloud server 10 performs 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 (mainly part of the functions of the property registration system 61, the sales support system 62, the CRM system 63, the ledger management system 64, and the in-house training system 65).

[0063] 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. This property registration system 61 can also perform a process called a converter 61A, which converts property information acquired from the inter-company distribution site 16 into specifications unique to the real estate store A (adding more in-depth information such as environmental information about the property). A converter from a specialist company outside the system can be used as this converter 61A.

[0064] Furthermore, sales support system 62 is a functional system that functions as a sales support means and functionally provides a semi-self-service rental real estate property buying, selling, leasing, and management support system 62A according to the present invention. This buying, leasing, and management support system 62A is functionally constructed around second cloud server 10 (second processor 10C) through intercommunication with first cloud server 8 (first processor 8C), AI engine 12, database 14, store computer 32A, and tablet 40. This sales support system 62A allows customers who visit the store and wish to receive semi-self-service sales support to receive a tablet 40 from a sales staff member and proceed with the process (procedure) interactively with the system by responding to text and voice instructions displayed on the tablet 40 screen. This process (procedure) can be selected to be completed up to the time of an on-site tour of the desired property. In this embodiment, the customer communicates with the tablet 40 up to the maximum permitted processing, and subsequent processing, including on-site inspections, is carried out with the assistance of sales staff, so this embodiment is called a semi-self-service sales method.

[0065] In the case of real estate properties, there are exceptional cases where a customer applies for a property simply by watching a video without actually touring the property, but usually, the on-site visit and guidance and explanations by the sales staff are important. After the on-site visit, the customer again interacts with the tablet 40 when narrowing down the options to the final property. This is also part of the semi-self-service method, but it is easier to make a decision if the time on the way back from the site is used effectively, and the customer narrows down the options while their impression of the site is still strong, and the closing by the sales staff as the final process can be more effective. Sales support for this semi-self-service method will be described later.

[0066] Furthermore, the CRM system 63 is programmed to function as a CRM means. Furthermore, the sales and management support system 2 according to this embodiment not only covers a series of sales processes from listing (registration and advertising of rental real estate properties) to closing, but also receives application fees from customers after a deal is closed, and the ledger value is managed for each sales staff member and for the entire store, i.e., ledger management is also performed on the same platform as the sales and management support.

[0067] 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.

[0068] 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.

[0069] <Semi-self-service rental property sales, rental, and management support system 62A> Here, among the above-mentioned functional systems, a semi-self-service rental real estate property buying, selling, leasing and management support system 62A that embodies the features of the present invention will be described.

[0070] This Buying, Rent, and Management Support System 62 is a system designed to resolve the labor shortage, one of the major issues facing real estate companies. In this system, a sales avatar (AI avatar) generated by AI (AI Engine 12) handles some of the processing and customer service (video (audio), photos, text) on behalf of the sales staff. The character of this sales avatar, for example, resembles the face of the sales staff member in charge.

[0071] This purchase, rental, and management support system 62 allows one sales staff member to serve multiple customers at the same time. It also allows the sales staff member to perform other tasks while the sales avatar serves the customer. Furthermore, since the avatar is automatically generated by AI that has learned a lot of know-how about rental brokerage sales, it also helps to improve the closing rate.

[0072] Although all of the following processes (steps S) can be performed by the sales avatar in charge, the system is configured so that the sales staff can specify which processes the sales avatar should perform according to the customer's wishes (step S0).

[0073] Step S1: Please register your "name" on the tablet. Your name will be collected here so that you can speak the customer's name in the sales avatar video. Example: Mr. / Ms. XX, thank you for using the semi-self-sale system today. Mr. / Ms. XX, which of the following floor plans would you like?

[0074] S2: The customer watches a sales avatar video about the questionnaire and the self-service system. From this point on, the avatar speaks to the customer, whose name is Mr. / Ms. XX.

[0075] S3: From this point on, the AI ​​will perform "keyword checks."

[0076] S4: If the AI ​​detects a keyword and determines that the sales avatar can solve the problem, the AI ​​adds materials and gives instructions for explanation or instructions for the sales avatar to say what it wants them to say, which the sales avatar then carries out (S5). If it determines that the sales avatar cannot solve the problem, it writes and stores the message "Used keyword," "Response advice," "Visualization of the two seconds before and after the keyword was spoken," and "Not yet addressed" in the "Keyword detection confirmation required field" (S6). Here, the response made by the sales avatar is also stored in the same way, with the message "Responded." The sales person will later check the content and take action.

[0077] · 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 · Should I go to "XX company", "next XX real estate company", or "real estate agency"? ※ About XX ※1 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.

[0078] (Alerts when AI detects a "keyword" in a customer's speech) You mentioned "brokerage fees" now. You may be wondering about brokerage fees. - You are currently concerned about "noise." You may be concerned about the sound reverberating. I'm currently looking into the "public safety" issue. Please check if there are any concerns about public safety. Now you say, "I have to ask." The decision maker may not be here. Please find the decision maker. You said "far away" now. You may be concerned about the distance from the station. Please check if the walking time from the station is OK. You just said "expensive." Please confirm what is expensive. 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. · 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. You may be worried about time right now. Make sure you still have time. You say it's "early" now. You may be worried about when rent will be due. etc.

[0079] When a "keyword" is detected, it is visualized, including the 2 seconds before and after (predetermined time), and added to the message field as needed. Example: AI detects the word "brokerage fee" "I wonder if this store will lower the brokerage fee?" In this way, the two seconds before and after are visualized and added to the "Keyword Detection" column.

[0080] (Customer service advice will also be added as follows) Example: "As mentioned above, I'm concerned about the brokerage fee. We have added a presentation regarding brokerage fees. Please explain the brokerage fee in that document.

[0081] S7: Complete the survey with the sales avatar. The customer's medical record is automatically updated from here. (From this point on, the AI ​​will determine "attributes," "anti-social check," and "customer type.") Surveys and other follow-up questions are all conducted using voice recognition or multiple choice. Example: How many minutes' walk from the station would you like to be? Please answer out loud. As a second option, how many minutes from the station would be possible? As a third option, how many minutes from the largest station would be possible?

[0082] S8: The AI ​​searches for properties based on the customer's room requirements (first to third choices) in the company's dedicated cloud, which contains the inter-company distribution site, and stores them in the respective folders. At that time, it adds a site link (with the property address already entered by the AI) that allows the customer to access the information they need for each property, such as a map of the actual location, street view, surrounding facilities, surrounding hazard map, and school district confirmation.

[0083] S9: Using basic presentation materials, we explain "How to Find an Apartment." As we explain, we provide a section for the customer to answer questions for each item (S10). The AI ​​adds the answers to the questions to the customer's chart as they arrive (S11).

[0084] For example, the screening items in the presentation explanation include "Have you had any late credit card payments?", "Have you had any overdue mobile phone payments?", "Have you changed your mobile phone number in recent years?", and "Have you ever been late on rent payments?", and you are asked to answer "yes" or "no." For example, if you select "yes" for the question about a history of overdue credit card payments, the next explanatory presentation material will be added by AI, and an avatar will explain the added presentation material. If there is a history of financial incidents, "Ask about the guarantor company" will be added to the management company confirmation list.

[0085] S12: Ask customers questions other than about the room. The sales avatar answers the questions on the list of anticipated questions (S13). Questions that cannot be answered are added to the "Unanswered Question List" (S14). After that, the "Unanswered Question List" is checked and an answer is made (S15). Questions that could not be answered are automatically reported to the system company, and the AI ​​is trained on the question answers and refined so that the system can be used by the system user companies (S16).

[0086] S17: If the AI ​​detects that there is something in the medical record that needs to be confirmed with the management company, it will enter that information into the "List of Items to Confirm with the Management Company."

[0087] S18: Based on the contents of the client's medical record, in the folders for the first to third candidate properties, state that "there is a possibility that the property will not pass the screening" and clearly state the reason for this. Reasons: The property's rent does not match your income. The guarantor is a financial company. etc.

[0088] S19: After the presentation, the avatar will prompt you to look at the property folders for your first, second, and third choices.

[0089] S20: At that time, say, "We will now check the latest information on the properties in the folder. In addition to the property details and photos, Mr. / Ms. XX, please also check the "map of the actual location," "street view," "surrounding facilities," "surrounding hazard map," "school district confirmation," and "area comments." If the property is not in your list of candidates, click the "delete icon." If you would like to visit the property, click the "request to visit" icon. When you click "request to visit," we will automatically check whether the property is available for viewing and move it to the "available for viewing," "not available for viewing," or "delete" folder."

[0090] When this is executed (S21, S22), the AI ​​actually moves properties that are "Available", "Application Closed", or "Occupied or Vacant" to the "Available for Viewing" folder if it can confirm that the property is "Available and Vacant" on a site that allows real-time property status confirmation within the inter-company distribution site within the company's dedicated cloud (S24, S25). For properties that are "Application Closed" or "Occupied", the reason why they cannot be viewed is noted and the property is stored as "Not Available for Viewing" (S26). If the property is only listed on a site where real-time information cannot be confirmed, it is stored in the "Verification Required" folder (S27, S28).

[0091] S29: For properties that are on the "Management Company Checklist" or in the "Confirmation Required" folder, the AI ​​will call the management company directly (using the AI ​​automated phone question function) to confirm. Example: "XX Real Estate's AI is calling XX Real Estate to confirm the property. We currently have someone visiting who is interested in XX Apartment, which you manage. Please answer the following questions. Are you currently accepting applications? If you are accepting applications, please answer "Yes." If the application has closed, please answer "Closed." Thank you. Next, please let us know if you can view this XX Apartment today? If you can view it, please answer "Yes." If you cannot view it, please answer "No."

[0092] S30: If it is confirmed that the property can be viewed, it is moved to the "Viewable" folder (S31). If the property cannot be viewed, it is stored in the "Not available for viewing" folder and the reason is clearly stated (S32). If the property "did not respond," "the call was disconnected," or "a decision could not be made," the property information remains stored in the "Confirmation Required" folder. In that case, the reason why the property could not be viewed is stated.

[0093] Example: "XX Real Estate's AI is calling XX Real Estate to confirm the property. We currently have a customer visiting who is interested in XX Apartment, which you manage. Please answer the following questions. Can a cat be kept in this XX Apartment? If so, please answer "yes." If not, please answer "no." If it is possible to keep a cat, but the site does not allow real information, and the property is "Available / Open," it will be stored in the "Open for viewing" folder. If cats are not allowed, the reason for not being able to view it (because cats cannot be kept) will be written and stored in the "Not open for viewing" folder.

[0094] S33: When all confirmations have been completed, the sales staff is instructed to confirm that the confirmation has been completed and to check the "Confirmation Required" folder and the "Keyword Detection Confirmation Required" column (S34).

[0095] In the "Available for viewing" folder, if the AI ​​avatar can arrange a viewing for the property (S35), the arrangement is made and the viewing method (key, local pipe, space key, box number XXXXXX) is recorded (S36). For properties that cannot be viewed, the AI ​​avatar will record "Viewing arrangement required" (S37).

[0096] S38: The sales staff checks the contents of the "Confirmation Required" and stores them in the "Tour Available" or "Tour Not Available" folder (S39).

[0097] S40: "Viewing arrangements required" - the sales person will make the arrangements and go to view the property. The sales person will go to view the property themselves, or an unmanned (autonomous) vehicle will be used, with a sales avatar acting as a guide to the area. <Local guide with avatar video during tour> While a customer is touring, they can click "I'd like to know more about this area" 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 number of kilometers 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. The content includes information on the area's characteristics, shopping facilities, public facilities such as parks, and public safety.

[0098] S41: During the tour, customers are asked to "delete" and "finalize" each property.

[0099] S42: Provides measurement, photo, and video recording and storage functions via the customer's tablet.

[0100] The customer-only tablets are equipped with a measurement function, photo taking function, and photo and video recording and storage function. Therefore, 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 "measurement results" and "photos of the measurement points."

[0101] 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.

[0102] S43: After returning to the store, the sales avatar will enter a score (1 to 5 points) for each property in the "Final Consideration" folder: "Rent (total rent)," "Layout," "Surrounding environment," "Room," "Facilities," "Security," "Walking distance from station," "Area," "Property structure," "Management company," and "Initial costs," and the AI ​​will make a final decision (S44).

[0103] S45: The sales avatar explains the results of the AI's judgment.

[0104] S46: After the explanation is finished, a message is sent to the sales staff, who then completes the final closing (S47).

[0105] As described above, with the exception of on-site visits of selected properties, customers can perform various processes themselves through interactions with the sales AI avatar 12t on the tablet 40. Because this self-service portion is only part of the overall sales process, the inventors call it a "semi-self-service" system. However, in situations where the customer has already conducted a separate on-site visit or is familiar with the property, a purchasing, leasing, and management support system can be provided that is essentially close to a full self-service system. This provides sales staff with powerful assistance from the AI ​​avatar, which, as explained at the beginning, allows them to perform more tasks more efficiently, such as reducing labor and handling multiple customers. This can also contribute to alleviating staff shortages in real estate stores. <Second embodiment> A rental real estate property buying, selling, leasing and management support system using a pre-visit online sales method according to a second embodiment will be described.

[0106] 1 and 2, which are explained in the purchasing, leasing, and management support system according to the first embodiment, are also applied to the second embodiment. Therefore, the same reference numerals are used to designate components that have the same functions, and their explanations will be omitted or simplified.

[0107] In this second embodiment, the rental real estate property buying, selling, leasing and management support system 2A using a pre-visit online sales method differs from that of the first embodiment in that the second cloud server 10 provides a pre-visit online sales buying, leasing and management support system 63B in the function of the sales support system 62, as shown in Figure 9.

[0108] The main purpose of this pre-store online sales type purchase / rent / management support system 2A is to use sales avatars to alleviate store staff shortages, just like the semi-self-service type purchase / rent / management support system 63A according to the first embodiment. Of course, in addition to this, it can also achieve the same various effects as described above.

[0109] For this purpose, with this purchase, rental and management support system 2A, customers can download the application from System 2A at home and enter their ID and password to view the property immediately when they visit the store. The "AI" and "customer" are connected at any time of the day or night, and customer service can be provided from home until the viewing. Customer service is mainly provided by a sales avatar automatically generated by the AI. This is expected to increase visit rates, improve productivity, save time, and reduce cancellations of store visit reservations.

[0110] For this reason, as shown in Fig. 9, the purchase / rent / management support system 2A is configured so that a terminal 50 (mobile phone, PC) owned by the customer himself / herself is communicably connected to the cloud 6 via the Internet 4. Therefore, the customer can operate the terminal 50 at his / her leisure outside the real estate store, for example, at home, and connect to the cloud 6.

[0111] <62B: Online sales system for rental property sales, leasing, and management before visiting the store> Here, we will explain a rental real estate property buying, selling, leasing, and management support system 62B that uses a pre-visit online sales method and embodies the features of the second embodiment among the above-mentioned functional systems. The second cloud server 10 (i.e., the second processor 10C) functions as follows in cooperation with the AI ​​engine, database 14, first cloud server 8, store computer 32A, and terminals such as customer mobile phones.

[0112] In this explanation, instead of using a flowchart, the explanation will focus on the second processor 10C and the operation of the sales AI avatar 12A generated by the AI ​​engine 12 under its instructions. In the following explanation, step S indicates a rough procedure.

[0113] S51: Send instructions on how to download the app and your customer ID and password via email or LINE.

[0114] S52: The customer downloads the app and logs in. This launches sales avatar 12A. From this point on, the avatar starts talking to the customer via video, calling them Mr. / Ms. XX.

[0115] S53: The sales avatar explains the system, the survey, and what to do after the customer visits the store. Surveys and other follow-up questions are all conducted using voice recognition or multiple choice.

[0116] Example: How many minutes' walk from the station would you like to be? Please answer out loud. As a second option, how many minutes from the station would be possible? As a third option, how many minutes from the largest station would be possible?

[0117] From this point on, the AI ​​performs a "keyword check," and if it detects a keyword and determines that the sales avatar can solve the problem, it will add materials and provide explanations or instructions for the sales avatar to say what it wants them to say, which the sales avatar will then carry out. If it determines that the sales avatar cannot solve the problem, it will write and store the message "Used keyword," "Response advice," "Visualization of the two seconds before and after the keyword was spoken," and "Not handled" in the "Keyword detection confirmation required field." Anything that the sales avatar has handled is also stored in the same way, with the message "Responded." On the day the customer visits, a sales representative will confirm the content and handle the problem.

[0118] Examples of keywords extracted from the voice and examples of alerts and messages issued when the keywords are detected are as shown in the first embodiment.

[0119] When a "keyword" is detected, it is visualized, including the 2 seconds before and after (predetermined time), and added to the message field as needed.

[0120] Example: AI detects the word "brokerage fee" and asks, "I wonder if this store will lower the brokerage fee?" In this way, the two seconds before and after are visualized and added to the "Keyword Detection" column.

[0121] (Customer service advice will also be added as follows) Example: "As mentioned above, I'm concerned about the brokerage fee. We have added a presentation regarding brokerage fees. Please explain the brokerage fee in that document.

[0122] S54: Complete the survey with the sales avatar. The customer's chart will be automatically updated from here. (From this point on, the AI ​​will determine "attributes," "antisocial behavior checks," and "customer type.")

[0123] S55: The AI ​​searches for properties from the company's dedicated CLOUD, which contains the inter-company distribution site, based on the customer's room requirements (first to third choices), and stores them in the respective folders. At that time, it attaches a site link (with the property address already entered by the AI) that allows the customer to access the information they need for each property, such as a map of the actual location, street view, surrounding facilities, surrounding hazard map, and school district confirmation.

[0124] S55: Using basic presentation materials, explain "How to Find an Apartment." While explaining, provide a section for customers to answer questions for each item. AI will add the answers to the questions to the customer's chart as they arrive.

[0125] Example: In the evaluation items in the presentation explanation Please answer "yes" or "no" to questions such as "Are you behind on your 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 fallen behind on your rent payments?" For example, if you select "Yes" for the question about your history of delinquent credit card payments, the AI ​​will add the following explanatory presentation material, and the avatar AI will explain the added presentation material. If you have a history of financial accidents, "Ask about the guarantor company" will be added to the management company confirmation list.

[0126] S56: Ask customers questions other than about the room. The sales avatar answers questions that are on the list of expected questions. Questions that cannot be answered are added to the "Unanswered Questions List." When a customer visits the store, the salesperson checks the "Unanswered Questions List" and answers them. Questions that could not be answered are automatically reported to the system company, and the AI ​​learns about the questions and answers, and the system is refined so that it can be used by companies using the system.

[0127] S57: If the AI ​​detects that there is something in the chart that needs to be confirmed with the management company, it will enter that information into the "List of Items to Confirm with the Management Company."

[0128] S58: Based on the contents of the customer's medical record, in the folders for the first to third candidate properties, state that "there is a possibility that the property will not pass the screening" and clearly state the "reason for this." Reasons: The property's rent does not match your income. The guarantor is a financial company. etc.

[0129] S59: After the presentation, the avatar prompts the user to look at the folders for the first, second, and third-choice properties. The avatar then says, "We're going to check the latest information on the properties in this folder. In addition to the property details and photos, please also check the "Actual Location Map," "Street View," "Nearby Facilities," "Nearby Hazard Map," "School District Confirmation," and "Area Comments." For properties that aren't listed, click the "Delete" icon. For properties you would like to visit, click the "Request to Visit" icon. Clicking "Request to Visit" will automatically check whether the property is available for viewing and move it to the "Available for Viewing" or "Not Available for Viewing" folder." When the user clicks this, the AI ​​actually moves properties with "Available for Viewing," "Closed for Viewing," and "Occupied / Vacant" status to the "Available for Viewing" folder if it confirms that the property is available and vacant on the inter-company distribution site within the company's cloud, where real-time property status can be checked. For properties with "Closed for Viewing" and "Occupied" status, the reason for the inability to view the property is noted and the property is stored as "Not Available for Viewing." Properties listed only on sites with unverified real-time information are stored in the "Verification Required" folder.

[0130] S60: Real-time property status checks are performed three times daily until the customer's visit. If a property's status changes to one that allows viewing (e.g., available for viewing, vacant, under renovation), it is moved to the "Available for Viewing" folder. Conversely, if a property in the "Available for Viewing" folder receives an application or other reason, it is moved to the "Not Available for Viewing" folder and stored with a description of the reason. (Example: An application was received and closed on XX / XX.) Property status checks are also performed twice daily, and if a new property that meets the customer's criteria is found, it is marked as "New" and stored in the first to third choice folders. Customers are notified twice a day (at 11:50 AM and 5:50 PM) by email or LINE that a new property has been added. Customers can always check each folder ("First Choice - Third Choice," "Request for Viewing," "Available for Viewing," "Not Available for Viewing," "Delete") in the app, and can choose to "Request for Viewing" or "Delete" new properties in the "First Choice - Third Choice" folders. When a property is placed in the "Viewing Requested" folder, properties that can be checked in real time by AI or where an automated voice confirmation is possible are moved to the "Viewing Available" or "Viewing Unavailable" folders. Properties that cannot be checked in real time or where an automated voice confirmation is not possible are moved to the "Confirmation Required" folder. The "Confirmation Required" folder is only viewable by the company, and will remain stored in the "Viewing Requested" folder until confirmation is complete. The sales representative will confirm the property and move it to either the "Viewing Available" or "Viewing Unavailable" folder. When the AI ​​and sales representative store a property in the "Viewing Unavailable" folder, they will state the reason why it cannot be viewed. Customers can "delete" a property stored in the "Viewing Available" folder, or move it from the "Delete" folder to the "Viewing Requested" folder.

[0131] S61: For properties that are on the "Management Company Checklist" or in the "Confirmation Required" folder, the AI ​​will call the management company directly (using the AI ​​automated phone question function) to confirm. Example: "XX Real Estate's AI is calling you to confirm the property. We currently have someone visiting who is interested in the XX apartment building you manage. Please answer the following questions." Are you currently recruiting? If you are currently recruiting, please answer "Yes." If you have finished recruiting, please answer "Finished." Thank you. Next, please let me know if you can view this XX apartment today. If you can view it, please answer "Yes." If you cannot view it, please answer "No." Once it is confirmed that a tour is possible, move it to the "Tours Available" folder. If a tour is not possible, store it in the "Tours Not Available" folder and clearly state the reason. If "they did not answer," "the call was disconnected," or "we were unable to make a judgment," store it in the "Confirmation Required" folder. At that time, state the reason why confirmation was not possible.

[0132] Example: "XX Real Estate's AI is calling XX Real Estate to confirm the property. We currently have a customer visiting who is interested in XX Apartment, which you manage. Please answer the following questions. Can a cat be kept in this XX Apartment? If so, please answer "yes." If not, please answer "no." If it is possible to keep a cat, but the site does not allow real information, and the property is "Available / Open," it will be stored in the "Open for viewing" folder. If cats are not allowed, the reason for not being able to view it (because cats cannot be kept) will be written and stored in the "Not open for viewing" folder.

[0133] S62: After all confirmations are completed, instruct the salesperson to confirm that the business has finished and to check the "Confirmation Required" folder and the "Keyword Detection Confirmation Required" field.

[0134] S63: In the "Available for viewing" folder, if the AI ​​can arrange a viewing, it will do so and record the viewing method (key, local pipe, space key, box number XXX). If it cannot, it will record "Viewing arrangement required."

[0135] S64: The sales staff checks the "Confirmation Required" information and stores it in the "Visit Available" or "Visit Not Available" folder.

[0136] S65: If "viewing arrangements required," the sales staff will make arrangements and visit the store on the day of your visit.

[0137] S66: Here we confirm the date and time of your visit and explain the new property. "Thank you for your time, Mr. / Ms. XX. We plan to have you tour the store today based on today's schedule. Let me confirm the date and time of your visit. You have a reservation for XX / XX / XX at XX time. If there are any changes, please let us know by saying "change." If there are any changes, ask for the desired date and time and send a message to our sales department. "If new rooms that meet your criteria become available by the time you visit, we will put them in the first to third choice folders and notify you by email or LINE. Please check each folder when you have time, and if you would like to view them, click the "Viewing Request" icon. For properties you do not need, click the "Delete" icon. After checking the properties you wish to view, if they are available for viewing, they will be moved to the "Viewing Available" folder, and if they are not available for viewing, they will be moved to the "Not Available for Viewing" folder." S67: On the day of the visit, check the "List of Unanswered Questions" and answer them. Arrange viewings for any properties that you have not yet arranged to view in the "Properties you wish to view" list and go to view them.

[0138] S68: During the tour, customers are asked to "delete" and "finalize" each property.

[0139] S69: Local explanation using sales avatar video during tour While a customer is touring, they can click "I want to know more about the area I'm in" on their tablet, and an AI-generated sales avatar will explain the area introduction video using 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 regional introduction video tailored to that area is selected and played. The content includes information on the characteristics of the area, shopping facilities, public facilities such as parks, and public safety, and the salesperson will either go on the tour themselves, or an unmanned (autonomous) sales avatar will guide the customer around the area.

[0140] S70: Provides tablet measurement function, photo and video recording and storage function for customers The customer's personal tablet will be equipped with a measuring function, photo taking function, and photo and video recording and storage function.

[0141] If a customer wants to take measurements while viewing a room, they can click on "Measure" in each property details folder to launch the measurement function, take measurements, and once the measurements are complete, they will be stored in each property details folder along with the "measurement results" and "photos of the measurement points." 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.

[0142] S71: After returning to the office, the sales avatar will enter a score (1 to 5 points) for each property in the "Final Consideration" folder: "Rent (total rent)," "Layout," "Surrounding area," "Room," "Facilities," "Security," "Walking distance from station," "Area," "Property structure," "Management company," and "Initial costs," and the AI ​​will make the final decision.

[0143] S72: The sales avatar explains the results of the AI's judgment. After the explanation is finished, a message is sent to the salesperson to finalize the deal.

[0144] As described above, this embodiment also reduces the labor required by sales staff, thereby contributing to alleviating labor shortages.

[0145] When a customer who wants to search for rental real estate properties accesses the aforementioned purchase / rent / management support system 2 or 2A, the cloud 6 may provide a check box that allows the customer to select whether to proceed using the "semi-self-service method" or the "pre-visit sales method." The cloud 6 can also guide the customer to either method according to instructions from the customer.

[0146] Furthermore, the configuration of the cloud 6, particularly the configuration of the cloud server, is not limited to the configuration described in the above-described embodiment, and other known server configurations may be incorporated. [Explanation of symbols]

[0147] 4 Network 6 Cloud (Cloud dedicated to Real Estate Store A) 8. First Cloud Server (Cloud Server) 10. A second cloud server having an AI avatar control means (cloud server: including AI avatar control means) 12 AI engine with the functionality to generate AI avatars 12A Sales Avatar 14 Database 16 Intercompany Distribution Site 32, 34, 36 Real Estate Store 32A, 32B, 32C Store Computer 40 Tablets (store terminals) 50 Customer devices (mobile phones, PCs, etc.)

Claims

1. a cloud server (8, 10) installed in a cloud (6) constructed on a communication network (4) and executing a computer program related to sales support for 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 AI engine (12) that generates an interactive AI avatar equipped with an AI (artificial intelligence) model that can converse with people through voice and video in response to a command from the store computer and that has been trained in advance using data on brokerage business of rental real estate properties; a store terminal (40) that can be operated by a customer who desires a rental real estate property and is communicably connected to a communication network (38) within the store (32, 34, 36) and the cloud server (8, 10) via the communication network (5); The cloud servers (8, 10) a first information processing means (8: first cloud server) for acquiring information on the real estate property from an inter-company distribution site (16) in response to a request from the store computer (32A, 34A, 36A); a second information processing means (10: second cloud server) that converts the information about the rental real estate property acquired by the first information processing means (8) into property information for advertisement posting, and exchanges information about the rental real estate property with each store computer (32A (34A, 36A)); The second information processing means and an AI avatar control means for controlling the AI ​​engine and the store terminal so that the customer who visits the real estate store can perform the procedures desired by the customer himself / herself through interaction with the AI ​​avatar on the store terminal at the store, among a plurality of procedures from searching for a rental property desired by the customer based on the request of the customer to actually viewing the rental property. A semi-self-service rental real estate property buying, selling, leasing and management support system.

2. The semi-self-service rental real estate property buying, selling, leasing and management support system described in claim 1, characterized in that the procedures desired by the customer are multiple procedures from searching for the rental real estate property desired by the customer to deciding on the rental real estate property that the customer wishes to view before the viewing.

3. The AI ​​avatar control means allows the customer's name to be registered in advance, A semi-self-service rental real estate property sales, rental, and management support system as described in claim 1 or 2, wherein the AI ​​avatar is configured to use the registered customer's name in interactions with the customer.

4. The semi-self-service rental real estate property buying, selling, leasing and management support system described in claim 1 or 2 is characterized in that the AI ​​avatar is configured to display a questionnaire as an image during the customer's interaction, ask the questionnaire questions to the AI ​​avatar by voice, receive voice responses and perform voice recognition, or automatically record the responses to the questionnaire questions in a medical record using a multiple-choice method.

5. The semi-self-service rental real estate buying, selling, leasing and management support system described in claim 1 or 2 is characterized in that the AI ​​avatar is configured to, during the customer interaction, provide explanations regarding the search for rental real estate properties based on predetermined basic presentation materials, for each item in the materials, and to create a customer record based on the customer's answers to necessary items in the materials.

6. The semi-self-service rental real estate property buying, selling, leasing and management support system described in claim 1 or 2, characterized in that the AI ​​avatar, during the customer interaction, asks the customer questions based on a list of anticipated questions that contain questions other than those about rental properties, and determines whether or not the AI ​​avatar can answer the question asked by the customer.If it determines that it can answer the question, the AI ​​avatar answers it, but if it determines that it cannot answer the question, the AI ​​avatar saves the question in a list of unanswered questions and provides it to the provider of the system, and uses it for training the AI ​​model.

7. The semi-self-service rental real estate property buying, selling, leasing and management support system of claim 5, characterized in that if the AI ​​avatar detects any matters in the contents of the medical record that must be confirmed with the management company, it saves them in a list of matters to be confirmed with the management company.

8. The semi-self-service rental real estate property buying, selling, leasing and management support system described in claim 5 is characterized in that the AI ​​avatar determines whether there are any properties in the customer's "property candidate folder" stored in the medical record that may not pass the rental contract screening, and if there are any properties that may not pass, it clearly states that the property may not pass the screening and explains the reason for this.

9. After the presentation is over, the AI ​​avatar will make a speech to encourage the customer to view the "candidate property folder" in the chart, and in the speech, the customer will be asked to check the latest information including photos of each property, as well as the real environmental information of the property, and will be asked to click on an icon displayed on the terminal to check whether the desired property is available for viewing, thereby narrowing down the desired properties and saving the desired property in the "final consideration folder." The AI ​​avatar also stores properties that are only listed on websites where real property information cannot be confirmed in a "needs confirmation" folder that can only be viewed by sales staff.

6. A semi-self-service rental real estate property buying, selling, leasing and management support system according to claim 5.

10. The semi-self-service rental real estate property buying, selling, leasing and management support system of claim 5, characterized in that the AI ​​avatar has an AI automatic telephone question function that allows the AI ​​avatar to directly call the management company and obtain answers for properties included in the management company confirmation list and properties included in the "requires confirmation folder."

11. The semi-self-service rental real estate property buying, selling, leasing and management support system of claim 8 is configured to have the customer input a score for each property in the "final consideration folder" in the categories of "rent (total rent)," "layout," "surrounding environment," "room," "facilities," "security," "walk to station," "area," "property structure," "management company," and "initial costs" after the customer has actually inspected the property, and to determine and explain the property to recommend to the customer based on the score.

12. a cloud server (8, 10) installed in a cloud (6) constructed on a communication network (4) and executing a computer program related to sales support for 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); and an AI engine (12) that generates an interactive AI avatar equipped with an AI (artificial intelligence) model that can converse with people through voice and video in response to a command from the store computer and that has been trained in advance using data on brokerage business of rental real estate properties. The cloud servers (8, 10) a first information processing means (8: first cloud server) for acquiring information on the real estate property from an inter-company distribution site (16) in response to a request from the store computer (32A, 34A, 36A); a second information processing means (10: second cloud server) that converts the information about the rental real estate property acquired by the first information processing means (8) into property information for advertisement posting and exchanges information about the rental real estate property with each store computer (32A (34A, 36A)); a downloading means for downloading, via the network, an application to a personal terminal held by the customer, in response to a request from the customer, for the customer to carry out a series of procedures online and by himself / herself, from searching for a rental property desired by the customer to actually viewing the rental property, at a location outside the store; Equipped with The second information processing means has an AI avatar control means for controlling the AI ​​engine and the personal terminal so that the customer can perform the series of procedures by interacting with the AI ​​avatar on the personal terminal by starting the application downloaded to the personal terminal by the download means. A self-service rental real estate property buying, selling, leasing and management support system.

13. The self-service rental real estate property buying, selling, leasing and management support system described in claim 12, characterized in that the second information processing means has a status transmission means that periodically or upon request obtains information on the rental real estate property desired by the customer from the inter-company distribution site via the first information processing means, and transmits information indicating the status of the actual property, such as ``Viewing requested,'' ``Viewing available,'' or ``Viewing not available,'' based on the latest updated information on the rental real estate property to the customer terminal.

14. The self-service rental real estate property buying, selling, leasing and management support system described in claim 12 is characterized in that the second information processing means is configured to communicate a customer ID and password to a customer who has made an inquiry to download the application, have the customer enter the customer ID and password from a terminal owned by the customer, and download the application to the terminal.

15. The AI ​​avatar control means allows the customer's name to be registered in advance, A self-service rental real estate property buying, selling, leasing and management support system as described in claim 12 or 14, wherein the AI ​​avatar is configured to use the registered customer's name in interactions with the customer.

16. The self-service rental real estate property buying, selling, leasing and management support system described in claim 12 or 14 is characterized in that the AI ​​avatar is configured to display a questionnaire as an image during the customer's interaction, ask the questionnaire questions to the AI ​​avatar by voice, receive voice responses and perform voice recognition, or automatically record the responses to the questionnaire questions in a medical record using a multiple-choice method.

17. The self-service rental real estate buying, selling, leasing and management support system described in claim 12 or 14 is characterized in that the AI ​​avatar is configured to, during the customer interaction, provide explanations regarding the search for rental real estate properties based on predetermined basic presentation materials, for each item in the materials, and to receive the customer's answers to necessary items in the materials and enter them into the customer's medical record.

18. The self-service rental real estate property buying, selling, leasing and management support system described in claim 12 or 14, characterized in that the AI ​​avatar, during the customer interaction, asks the customer questions based on a list of expected questions that includes pre-expected questions other than those about rental properties, and determines whether the AI ​​avatar can answer the question asked by the customer.If it determines that it can answer the question, the AI ​​avatar answers it, but if it determines that it cannot answer the question, the AI ​​avatar saves the question in a list of unanswered questions and provides it to the provider of the system, and uses it for training the AI ​​model.

19. The self-service rental real estate property buying, selling, leasing and management support system of claim 18, wherein the AI ​​avatar is configured to store any items in the contents of the chart that need to be confirmed with the management company in a list of items to be confirmed with the management company.

20. The self-service rental real estate property buying, selling, leasing and management support system described in claim 18 is characterized in that the AI ​​avatar determines whether there are any properties in the customer's "property candidate folder" stored in the medical record that may not pass the rental contract screening, and if there are any properties that may not pass, it clearly states that the property may not pass the screening and explains the reason for this.

21. After the presentation is over, the AI ​​avatar will make a speech to encourage the customer to view the "candidate property folder" in the chart, and in the speech, the customer will be asked to check the latest information including photos of each property, as well as the real environmental information of the property, and will be asked to click on an icon displayed on the terminal to check whether the desired property is available for viewing, thereby narrowing down the desired properties and saving the desired property in the "final consideration folder." The AI ​​avatar also stores properties that are only listed on websites where real property information cannot be confirmed in a "Required Verification Folder" that can only be viewed by sales staff.

20. The self-service rental real estate property buying, selling, leasing and management support system according to claim 18.

22. The AI ​​avatar is Check whether the property can be viewed in real time a set number of times each day until the customer's visit date, and whether the property can be viewed. If the status is changed, the property information will be moved to the "Available for viewing" folder. Conversely, if an application is made for a property in the "Available for viewing" folder and the application is closed, the property information is moved to the "Not available for viewing" folder, and the reason for this is noted and stored. The inter-company distribution site is searched daily in accordance with the desired conditions, and if a new property that matches or closely matches the desired conditions is posted, the information about the new property is notified to the customer by a communication means including email; The avatar control means The self-service rental real estate property buying, selling, leasing and management support system described in claim 21 is configured so that customers can always check information on properties that meet or are close to their desired conditions from multiple folders on the cloud, including a ``candidate folder,'' a ``viewing request folder,'' a ``viewable folder,'' a ``non-viewable folder,'' and a ``deleted folder,'' and can decide to view or delete candidate properties and new properties by accessing these folders.

23. The AI ​​avatar is When a property is entered into the "Viewing Folder," it is moved to a property that can be confirmed in real time, and properties that can be confirmed by automatic voice are moved to the "Available for Viewing Folder," and properties that cannot be confirmed in real time and for which automatic voice confirmation cannot be made are moved to the "Confirmation Required Folder." The "Confirmation Required Folder" is set to be viewable only by the real estate store, and the property continues to be stored in the "Viewing Request Folder" until the automated voice property confirmation is completed. Prompt the sales staff to confirm and move the item to a folder that the sales staff can or cannot visit. When the AI ​​avatar and sales staff store the item in the "No Visit Folder," they will be asked to state the reason why the visit is not possible. The self-service rental real estate property buying, selling, leasing and management support system described in claim 21 is configured so that the customer can delete the property stored in the "Available to View Folder" or move it from the "Delete Folder" to the "Want to View Folder."

24. The self-service rental real estate property buying, selling, leasing and management support system of claim 17, characterized in that the AI ​​avatar has an AI automatic telephone question function that allows the AI ​​avatar to directly call the management company to obtain answers for properties included in the management company confirmation list and properties included in the "requires confirmation folder."

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