Support device for real estate management work

Abstract

To automate and support real estate management business exemplified by progress management of various kinds of business and examination of a moving promotion measure.SOLUTION: A support device 1 according to the present invention includes a property management unit 111 that manages property information of a rental property in real estate rental, a notification unit 113 that notifies a staff member of a rental company of work related to the rental property on the basis of the property information, and a policy proposal unit 115 that proposes a policy for promoting movement into the rental property on the basis of the property information, in which the property management unit 111 manages the property information including a work deadline, a rental condition, and a movement status related to the rental property. Note that it is preferable that the scheme proposal unit 115 proposes a scheme by processing using machine learning with the rental condition and the movement situation as input, and that the machine learning includes the rental condition and the movement situation related to the rental property as explanatory variables, and pre-learning is performed by learning data including a scheme for promoting movement into the rental property as an objective variable.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a support device for real estate management work. [Background technology]

[0002] Real estate management involves a wide range of tasks, and a great deal of effort is required to secure talented personnel and train them after hiring. However, against the backdrop of a declining birthrate and an aging society, the labor shortage in the real estate rental industry is becoming more serious. In addition, the labor shortage has made it difficult to secure the time required for training after hiring. Therefore, there is a need for work style reform using technology to support real estate management operations.

[0003] Regarding technologies for supporting real estate management operations in conventional services and conventional technologies, Patent Document 1 discloses a rental property search system in which a management server is equipped with at least a rental property database in which information on rental properties is stored, a receiving means capable of receiving the search user's desired property information transmitted via a search user terminal device, a comparison means capable of comparing the desired property information with registered rental properties stored in the rental property database, and a transmitting means capable of transmitting property information about the matching property to the search user terminal device if a rental property matching the desired property information is found as a result of the comparison by the comparison means, and in which the rental property database stores basic information about rental properties and user property information about rental properties currently being used by the current user provided by the current user via the current user terminal device in mutual association.

[0004] The technology described in Patent Document 1 can reduce the risk of vacancy borne by property managers and the financial burden on new and old tenants. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] Japanese Patent Application Laid-Open No. 2014-157468 Summary of the Invention [Problem to be solved by the invention]

[0006] The technology described in Patent Document 1 merely reduces the risk of vacancy borne by property managers and the financial burden on new and old tenants by assisting users looking for rental properties. Therefore, there is room for further improvement in the technology described in Patent Document 1 in terms of more direct support for real estate management operations.

[0007] An object of the present invention is to automate and support real estate management operations, such as progress management of various operations and consideration of measures to promote occupancy. [Means for solving the problem]

[0008] As a result of intensive research into solving the above-mentioned problems, the inventors have found that the above-mentioned object can be achieved by performing support processes such as notifying rental agency staff of rental work and proposing measures to encourage occupancy in rental properties, and by managing property information of rental properties that is commonly used in these processes. As a result, the inventors have completed the present invention.

[0009] In one aspect, the present invention provides a real estate management support device that includes a property management unit that manages property information for rental properties in real estate rentals, a notification unit that notifies rental agent staff of rental work based on the property information, and a policy proposal unit that proposes measures to promote occupancy in rental properties based on the property information, wherein the property management unit manages property information including work deadlines, rental conditions, and occupancy status for rental properties.

[0010] This aspect of the present invention manages property information for rental properties in real estate rental, thereby supporting real estate management operations based on the property information. Specifically, in this aspect, a notification unit notifies rental agency staff of rental tasks based on the property information. As a result, the present invention can support even insufficiently trained staff in completing various rental tasks on schedule.

[0011] In real estate management, it is desirable to have as few vacant rooms as possible in rental properties. On the other hand, adequate education and experience are required to properly implement measures to encourage occupancy in rental properties (such as advertising and distribution of novelty goods). In this aspect of the present invention, the measure proposal unit proposes measures to encourage occupancy in rental properties based on the same property information as the notification unit. This allows the present invention to support even staff with insufficient education and experience in properly implementing measures to encourage occupancy in rental properties.

[0012] Therefore, by managing property information for rental properties, the present invention can support schedule management related to real estate management work and the implementation of measures to promote occupancy, and can automate and support real estate management work, such as progress management of various tasks and consideration of measures to promote occupancy.

[0013] The present invention can also take various forms, such as providing search results that have commonalities between searcher attributes and tenant attributes, using machine learning in the policy proposal unit, estimating the target demographic for rental properties from the characteristics of the property, and providing a guide displayed in a virtual space to guide the rental property, etc. These various forms, each with their own unique configurations, contribute to automating and supporting real estate management tasks, such as progress management of various tasks and consideration of tenant promotion measures. [Effects of the Invention]

[0014] As described above, the present invention can automate and support real estate management tasks, such as progress management of various tasks and consideration of measures to promote occupancy. [Brief explanation of the drawings]

[0015] [Figure 1] FIG. 1 is a block diagram showing an example of the hardware and software configuration of a system S according to this embodiment. [Figure 2] FIG. 2 is an example of the property database 131. [Figure 3] FIG. 3 is a main flowchart showing an example of a preferred flow of the support process. [Figure 4] FIG. 4 is a continuation of the previous figure. [Figure 5] FIG. 5 is a continuation of the previous figure. [Figure 6] FIG. 6 is a continuation of the previous figure. DETAILED DESCRIPTION OF THE INVENTION

[0016] First, although the following disclosure, diagrams, and / or claims may be described as being presented alone or in combination with one or more other aspects, the subject matter of the immediate disclosure is not intended to be so limited. That is, the immediate disclosure, diagrams, and claims are intended to encompass the various aspects described herein, each alone or in one or more combinations with each other. For example, even if the immediate disclosure describes and illustrates a first, second, and third embodiment in such a way that the first embodiment is described and illustrated specifically in conjunction with the second embodiment, or the second embodiment is described and illustrated only in conjunction with the third embodiment, the immediate disclosure and illustrations are not so limited and may include only the first embodiment, only the second embodiment, only the third embodiment, or one or more combinations of the first, second, and / or third embodiments, such as the first and second embodiments, the first and third embodiments, the second and third embodiments, or the first, second, and third embodiments.

[0017] The use of the phrase "or" in this document shall mean a "non-exclusive" arrangement unless expressly specified otherwise. For example, when we say "item x is A or B," we mean either: (1) item x is either A or B, but not both; or (2) item x is both A and B. In other words, the word "or" is not used to define an "exclusive" arrangement.

[0018] Additionally, the phrases "comprising at least one of" and "comprising at least one of the following," when used in conjunction with a system or element, mean that the system or element includes one or more of the elements listed after the phrase. For example, if there are three types of elements, element 1 through element 3, the phrases "comprising at least one of" and "comprising at least one of the following" are to be interpreted as any of the following structural arrangements: a device including the first element, a device including the second element, a device including the third element, a device including the first and second elements, a device including the first and third elements, a device including the second and third elements, or a device including the first, second, and third elements.

[0019] A similar interpretation is intended when the phrase "used in at least one of the following" is used in this context. Furthermore, as used in this context, "and / or" is used as a verbal conjunction to indicate that one or more of the listed elements or conditions are included or occur. For example, a device including a first element, a second element, and / or a third element is to be interpreted as any of the following structural arrangements: a device including the first element, a device including the second element, a device including the third element, a device including the first element and the second element, a device including the first element and the third element, a device including the second element and the third element, or a device including the first element, the second element, and the third element.

[0020] In addition, the use of the phrase "and / or" in the text means a "non-exclusive" agreement, as stipulated in the Japanese Industrial Standards (JIS) "Format and preparation method of standard sheets JIS Z 8301."

[0021] Hereinafter, an example of an embodiment of the present invention will be described in detail with reference to the drawings.

[0022] <System S> FIG. 1 is a block diagram showing an example of the hardware and software configurations of a system S according to this embodiment. The system S according to this embodiment is a support system for real estate management operations. The system S is configured to include at least a support device 1 for real estate management operations. The support device 1 is preferably configured to communicate with a terminal T used by an owner of a rental property or a tenant of a rental property via a network N.

[0023] [Support device 1] The support device 1 includes a control unit 11, a storage unit 13, and a communication unit 14. The type of the support device 1 is not particularly limited, and may be, for example, a server device, a cloud server, or the like.

[0024] [Control unit 11] The control unit 11 includes a central processing unit (CPU), a random access memory (RAM), a read only memory (ROM), and the like.

[0025] The control unit 11 cooperates with at least one of the storage unit 13 and the communication unit 14 as necessary. The control unit 11 then realizes software components of the program of this embodiment executed by the support device 1, such as a property management unit 111, an asset management unit 112, a notification unit 113, a target estimation unit 114, a policy proposal unit 115, a search unit 116, and a guidance unit 117.

[0026] [Storage section 13] The memory unit 13 is a device for storing data and / or files, and has a storage unit for non-temporarily storing data using a hard disk, a semiconductor memory, a recording medium, a memory card, etc. The memory unit 13 stores programs executed by the microcomputer, a property database 131, data related to language models, etc.

[0027] (Property Database 131) The property database 131 stores property information of rental properties (properties) in real estate rentals managed by the property management unit 111. This allows the support device 1 to notify rental-related work, propose measures to encourage occupancy in rental properties, and the like, based on the property information stored in the property database 131. In the following, it is assumed that the property information is stored in association with information identifying the property. The "information identifying the property" is, for example, a property ID unique to each property.

[0028] The rental property related to the property information is available for sale by its owner. The above-mentioned property information includes information related to the work deadline, rental conditions, and occupancy status of the rental property. In order to estimate the target demographic of the rental property based on the property information or to enable guidance on rental properties based on the property information, the above-mentioned property information preferably includes information related to the characteristics of the rental property. The characteristics of the rental property referred to here include, for example, the floor plan, facilities (e.g., bath, toilet, presence / absence of air conditioning and specifications, etc.), age of the building, location, structure, etc.

[0029] In order to utilize the estimated asset value of the rental property, the property information preferably includes information on the asset value and owner of the rental property. In order to use the rental property for guidance using images or videos, the property information preferably includes data for displaying images or videos of the rental property. The data may include, for example, images or videos of the exterior or interior of the rental property, data showing the three-dimensional shape of the rental property, etc.

[0030] 2 is an example of the property database 131. In this example, property information of rental properties associated with property IDs "P0001" and "P0002" is stored.

[0031] In this example, the property information associated with property ID "P0001" includes the work deadlines for the rental property "Move-out attendance: △ month △ day, settlement: △ month △ day, vacant room cleaning: △ month △ △ day, tenancy invitation: scheduled for △ month △ △ day", rental conditions "Rent: △△ million yen, security deposit: △△ million yen, key money: none, advance rent: one month's rent, agent fee: △ million yen, fire insurance premium: △ million yen", occupancy status "Planned move-out on △ month △ day", characteristics "1K, modular bathroom, no air conditioning, △△ year built, △△ minutes walk from △△ station, wooden structure, first floor of △ story building, facing north", asset value "estimated: △ million yen, residual value: 0 million yen", owner "△△ △△", etc.

[0032] In this example, the property information associated with property ID "P0002" includes the work deadline for the rental property "inspection: △ month △ day, intention confirmation: △ month △△ day", rental conditions "rent: △ million yen, security deposit: none, key money: none, advance rent: one month's rent, agent fee: △ million yen, fire insurance premium: △ million yen", occupancy status "vacant", characteristics "△ living / dining / kitchen, separate bathroom and toilet, air conditioning, auto-lock, balcony, △ year built, △ minutes walk from △△ station, reinforced concrete construction, △ floor of △△ building, good sunlight", asset value "estimated: △△ million yen, residual value: 0 million yen", owner "△△ △△△", etc.

[0033] By storing the above-mentioned property information in the property database 131 and managing it with the property management unit 111, the support device 1 can notify the rental agent's staff of a wide range of tasks related to renting, such as move-out attendance, cleaning, and inspection. The support device 1 can also support even insufficiently trained staff in completing various rental tasks according to schedule. The support device 1 can also propose measures to encourage tenants to move into rental properties based on rental conditions, etc. Additionally, the support device 1 can estimate target demographics and guide properties based on various characteristics, such as floor plan, facilities such as bathrooms, toilets, and air conditioners, age of the building, location, and structure.

[0034] (Language Model) The language model of this embodiment is configured to generate a response that the guide will convey to the person being guided, through processing that includes as input a question from the person being guided and the characteristics of the rental property.

[0035] In order to realize processing using a highly accurate language model that learns complex relationships and patterns related to natural language processing and understands questions containing a variety of expressions, the language model of this embodiment is preferably a so-called large-scale language model (LLM), which is, for example, a language model that is pre-trained with at least 10 terabytes of training data and has at least 10 billion parameters.

[0036] In order to generate responses that capture the characteristics of rental properties, it is preferable that the language model has been pre-trained using training data that includes the above-mentioned questions and the above-mentioned characteristics as explanatory variables and the above-mentioned responses as objective variables.

[0037] The data related to the language model may be stored in either the storage unit 13 or an external server. A language model in which data is stored in an external server provides generated text or the like to the assistance device 1 via, for example, an API or the like.

[0038] [Communications Section 14] The communication unit 14 is not particularly limited as long as it includes a component that connects the support device 1 to the network N and enables communication. Examples of such a component include a network card that complies with the Ethernet standard and a communication device that complies with wireless LAN.

[0039] [Network N] The type of the network N is not particularly limited as long as it enables communication between the support device 1, etc. The type of the network N is, for example, the Internet, a mobile phone network, a wireless LAN, etc.

[0040] [Terminal T] The terminal T is used by the owner of the rental property, the tenant of the rental property, etc. The types of the terminal T include, for example, a smartphone, a tablet terminal, a mobile terminal such as a laptop computer, a fixed terminal such as a desktop computer, etc.

[0041] [Main flowchart of support processing] Figure 3 is a main flowchart showing an example of a preferred flow of the support process. Figures 4, 5, and 6 are each a continuation of the previous figure. The following will use Figures 3 to 6 to show an example of a preferred flow of the support process executed by the support device 1 of this embodiment.

[0042] The support process includes a series of processes (property management steps) related to the management of property information. Steps S1 to S2 are an example of this process. In addition to the examples, this process also includes various processes related to the registration, deletion, and duplication of property information, as well as the creation and restoration of its backup.

[0043] [Step S1: Determine whether to update property information] The control unit 11 cooperates with the storage unit 13 and the communication unit 14 to execute the property management unit 111. Then, the control unit 11 executes a process of determining whether to update the property information using the property management unit 111 (property information update determination step). If it is determined that the property information should be updated, the control unit 11 shifts the process to step S2. If it is not determined that the property information should be updated, the control unit 11 shifts the process to step S3.

[0044] The procedure for determining whether or not an update is required in the property information update determination step is not particularly limited. For example, the procedure includes a procedure for determining that the property information is to be updated when data and instructions related to updating the property information are received.

[0045] [Step S2: Update property information] The control unit 11 executes a process of updating the property information by the property management unit 111 (property information update step). The control unit 11 moves the process to step S3. In the property information update step, the property management unit 111 manages the property information by updating the property information stored in the property database 131, etc.

[0046] The support process preferably includes a series of processes (asset management steps) related to asset management of rental properties. Steps S3 to S6 are an example of such processes. In this example, a process is executed to estimate the asset value of the rental property and propose a trading partner for the property based on the residual value related to depreciation. This allows the support device 1 to support property transaction brokerage based on residual value related to real estate management work.

[0047] [Step S3: Determine whether to estimate asset value] The control unit 11 cooperates with the storage unit 13 and the communication unit 14 to execute the asset management unit 112. Then, the control unit 11 executes a process to determine whether to estimate the asset value of the rental property using the asset management unit 112 (asset value estimation determination step). If it is determined that estimation should be performed, the control unit 11 shifts the process to step S4. If it is not determined that estimation should be performed, the control unit 11 shifts the process to step S5.

[0048] The procedure for determining whether or not an update has been performed in the asset value estimation determination step is not particularly limited, and includes, for example, a procedure for determining that an asset value should be estimated when data and instructions related to asset value estimation are received.

[0049] [Step S4: Estimate asset value] The control unit 11 executes a process (asset value estimation step) in which the asset management unit 112 estimates the asset value of the rental property determined to have its asset value estimated in the asset value estimation determination step, based on the characteristics of the rental property included in the property information managed by the property management unit 111. The control unit 11 then proceeds to step S5.

[0050] The procedure by which the asset management unit 112 estimates the asset value in the asset value estimation step is not particularly limited. The procedure includes, for example, a procedure of referencing a table that associates property characteristics, such as floor plan, facilities, age, location, and structure, with asset values; a procedure of multiplying the income and expenditures of a rental property by a yield; and a procedure of using a machine learning model. The procedure of multiplying the income and expenditures of a rental property by a yield preferably includes a procedure of calculating a cap rate by dividing the annual net income (NOI) by the real estate price (V). When the procedure of estimating asset value includes a procedure of using a machine learning model, the machine learning model preferably has been pre-trained using training data that includes property characteristics as explanatory variables and asset value as a target variable.

[0051] [Step S5: Determine whether to propose a trading partner] The control unit 11 executes a process of determining whether to propose a trading partner through the asset management unit 112 (a trading partner proposal determination step). If it is determined that a proposal should be made, the control unit 11 shifts the process to step S6. If it is not determined that a proposal should be made, the control unit 11 shifts the process to step S7.

[0052] The procedure for determining whether or not a proposal has been made in the trading partner proposal determination step is not particularly limited. The procedure includes, for example, a procedure for determining that a trading partner is to be proposed when data and instructions related to a trading partner proposal have been received.

[0053] [Step S6: Propose a trading partner] The control unit 11 executes a process of proposing a trading partner based on the residual value that takes into account the impact of depreciation on the asset value, using the asset management unit 112 (a trading partner proposing step). The control unit 11 then proceeds to step S7.

[0054] The transaction partner proposing step includes, for example, a procedure for proposing one of the other owners to the user as a transaction partner when the user who requested the proposal owns a rental property whose depreciation period has expired and which has no residual value, and there are other owners who also own rental properties which have no residual value. This allows the support device 1 to support the transaction of a rental property for a user who wants to sell a property that has no residual value for them.

[0055] In order to make a proposal specifying a rental property, the asset management unit 112 in the transaction partner proposal step preferably proposes a transaction related to the specified rental property. In order to encourage transactions between rental properties with comparable asset values, the asset management unit 112 in the transaction partner proposal step preferably refers to the asset value estimated in the asset value estimation step.

[0056] The support process includes a series of processes for notifying the rental agent's staff of the rental work based on the property information described above. Steps S7 to S8 are an example of this process. As a result, the support device 1 that executes the support process can support even insufficiently trained staff to complete various rental work according to schedule.

[0057] [Step S7: Determine whether to notify the work] The control unit 11 cooperates with the storage unit 13 and the communication unit 14 to execute the notification unit 113. Then, the control unit 11 executes a process of determining whether to notify the user of rental-related work based on the above-mentioned property information using the notification unit 113 (notification determination step). If it is determined that notification should be performed, the control unit 11 shifts the process to step S8. If it is not determined that notification should be performed, the control unit 11 shifts the process to step S9.

[0058] The procedure for determining whether or not a notification is required in the notification determination step is not particularly limited. For example, this procedure includes a procedure for determining that a notification is required when the property information managed by the property management unit 111 includes a task requiring notification. The notification unit 113 determines that a notification is required when, for example, the time remaining until the deadline for the task included in the property information falls below a given grace period. Furthermore, the notification unit 113 determines that a notification is required when, for example, the deadline for the task included in the property information has passed.

[0059] [Step S8: Notify staff of the work] The control unit 11 executes a process of notifying the staff of the rental agent of the work related to the rental based on the above-mentioned property information by the notification unit 113. The control unit 11 moves the process to step S9.

[0060] In the notification step, the notification unit 113 realizes the above-mentioned notification by, for example, transmitting data for displaying on the terminal T a display notifying of the work determined to require notification in the notification determination step to the terminal T of the staff member of the rental agency in charge of the work. It is preferable that the notification unit 113 displays a notification including the content of the work, the deadline for the work, or the deadline for the work, so that even staff members who are not sufficiently trained can carry out various rental-related work according to schedule.

[0061] Furthermore, in order to realize automatic reporting, communication, and consultation, which supports the so-called reporting, communication, and consultation, it is preferable that the notification unit 113 displays a notification encouraging work reports, and when a report or the like related to the notification is received, it stores the report or the like in the memory unit 13 and notifies the report or the like to a staff member in a position to check the report or the like.

[0062] In order to prevent staff overwork, the support process for the notification step preferably includes a process of providing advice on how to work to the staff by a machine learning process that uses the work status of the staff as an input. This process is realized, for example, by a machine learning model that has been pre-trained using training data that includes the work status of the staff as an explanatory variable and the advice on how to work to the staff as a target variable.

[0063] The support process includes a series of processes for proposing measures to encourage people to move into rental properties based on the property information described above. Steps S9 to S11 are an example of this process. As a result, the support device 1 that executes the support process can support even staff who are not sufficiently trained and lack experience to properly implement measures to encourage people to move into rental properties.

[0064] [Step S9: Determine whether to propose a measure] The control unit 11, in cooperation with the storage unit 13 and the communication unit 14, executes a process of determining whether to propose a measure to encourage occupancy in a rental property (measure proposal determination step). If it is determined that a proposal should be made, the control unit 11 shifts the process to step S10. If it is not determined that a proposal should be made, the control unit 11 shifts the process to step S12.

[0065] The procedure for determining whether or not a proposal is made in the policy proposal determination step is not particularly limited. The procedure includes, for example, a procedure for determining that a policy is to be proposed when data and instructions related to a policy proposal are received.

[0066] In order to be able to propose measures tailored to the target demographic, a series of processes for proposing measures to encourage occupancy in rental properties preferably includes a process for estimating the target demographic of the rental property. Step S10 is an example of such a process.

[0067] [Step S10: Estimate the target] The control unit 11 cooperates with the storage unit 13 and the communication unit 14 to execute the target estimation unit 114. Then, the control unit 11 executes a process using machine learning to estimate the target demographic of the rental property by inputting the characteristics of the rental property through the target estimation unit 114 (target estimation step). The control unit 11 moves the process to step S11.

[0068] In order to ensure the accuracy of estimation by machine learning, it is preferable that the target estimation unit 114 estimates the above-mentioned target demographic by processing using machine learning that has been pre-trained using learning data that includes the characteristics of the rental property as explanatory variables and the target demographic of the rental property as a target variable.

[0069] [Step S11: Propose measures] The control unit 11 cooperates with the storage unit 13 and the communication unit 14 to execute the policy proposal unit 115. Then, the control unit 11 executes a process of proposing a policy to encourage people to move into a rental property, based on the property information, using the policy proposal unit 115 (policy proposal step). The control unit 11 then shifts the process to step S12.

[0070] The procedure by which the measure proposal unit 115 proposes a measure is not particularly limited. For example, the procedure includes a procedure of proposing a measure corresponding to a feature included in the property information based on the correspondence between the feature of the rental property and the measure stored in the memory unit 13. The measure proposed by the measure proposal unit 115 is not particularly limited. The measure includes, for example, a novelty gift, a furniture gift, a home appliance gift, advertisements using various media, and the like. In this way, the measure proposal unit 115 can propose, for example, a measure to give away an electric blanket in a rental property that faces north and is prone to getting cold.

[0071] When a target estimation step is executed to make a proposal based on an estimated target, it is preferable that the procedure by which the measure proposal unit 115 proposes measures includes a procedure of proposing measures corresponding to the target group estimated in the target estimation step based on the property information, based on the correspondence between the target group of the rental property and the measures stored in the memory unit 13.

[0072] In order to propose more appropriate measures for various rental properties, the measure proposal unit 115 preferably proposes measures using machine learning processing that inputs rental conditions and occupancy status. In this case, it is preferable that this machine learning is performed in advance using learning data that includes rental conditions and occupancy status of the rental property as explanatory variables and measures to promote occupancy in the rental property as a target variable. This allows the support device 1 to propose measures that take into account, for example, a situation in which a tenant has been residing in the property for a long time at a specific time.

[0073] When a target estimation step is executed to make a proposal based on the estimated target and machine learning, it is preferable that the policy proposal unit 115 proposes a policy by processing using machine learning in which pre-learning related to the above-mentioned machine learning is performed using learning data that further includes the target demographic of rental properties as an explanatory variable.

[0074] The support process preferably includes a series of processes (search steps) that provide search results for rental properties based on the attributes of the resident. Steps S12 to S14 are an example of such processes. As a result, the support device 1 that executes the support process can help even insufficiently trained staff introduce rental properties that match the attributes of the resident.

[0075] [Step S12: Determine whether a search command has been issued] The control unit 11 cooperates with the storage unit 13 and the communication unit 14 to execute the search unit 116. Then, the control unit 11 executes a process to determine whether the search unit 116 has been instructed to search for rental properties whose property information is managed by the property management unit 111 (search determination step). If it is determined that a command has been issued, the control unit 11 proceeds to step S13. If it is not determined that a command has been issued, the control unit 11 proceeds to step S15.

[0076] The procedure for determining whether or not a search has been performed in the search determination step is not particularly limited. For example, the procedure includes a procedure for determining that a search has been performed when search conditions and instructions are received. The search conditions include, for example, the searcher attributes of the searcher who has requested the search, the characteristics of the rental property, such as the floor plan, facilities (e.g., bath, toilet, presence / absence of air conditioning, specifications, etc.), age, location, or structure.

[0077] [Step S13: Execute search] The control unit 11 executes a process to search for rental properties based on the search conditions using the search unit 116 (search execution step). The control unit 11 moves the process to step S14. The search unit 116 executes a search based on the search conditions so as to obtain search results that have a common part between the searcher attributes and the corresponding data of the property information managed by the property management unit 111. For example, when a search condition to search for rental properties with a 1K or 1DK floor plan is given, search results that have a common part are search results that are configured to include rental properties with a 1K floor plan in the property information or rental properties with a 1DK floor plan in the property information as much as possible.

[0078] If the search criteria include the searcher attributes of the searcher who commanded the search, the search unit 116 executes a search based on the search criteria to obtain search results that have a common part between the searcher attributes and the tenant attributes of long-term tenants included in the property information managed by the property management unit 111. For example, when search criteria including the searcher attribute that the searcher is a student are given, the search results that have a common part between the searcher attributes and the tenant attributes are search results that are configured to include as many rental properties as possible where the tenant attributes of long-term tenants in the property information are students, such as university students or vocational school students.

[0079] [Step S14: Provide search results] The control unit 11 executes a process of providing the search results related to the search executed in the search execution step to the terminal T etc. by the search unit 116 (search result providing step). The control unit 11 moves the process to step S15.

[0080] The support process preferably includes a series of processes (guidance steps) in which a guide displayed in a virtual space guides a tenant around the rental property. Steps S15 to S19 are an example of such processes. As a result, the support device 1 executing the support process can support the tenant in guiding the rental property instead of insufficiently trained staff. Furthermore, as a result, the support device 1 executing the support process can reduce the effort required for a direct tour of the rental property.

[0081] [Step S15: Determine whether to start guidance] The control unit 11 operates the guidance unit 117 in cooperation with the storage unit 13 and the communication unit 14. Then, the control unit 11 executes a process of determining whether guidance by the guide displayed in the virtual space should be started by the guidance unit 117 (guidance start determination step). If it is determined that guidance should be started, the control unit 11 moves the process to step S16. If it is not determined that guidance should be started, the control unit 11 returns the process to step S1 and repeats the processes from step S1 to step S19.

[0082] The procedure for determining whether or not guidance has started in the guidance start determination step is not particularly limited. For example, the procedure includes a procedure for determining that a command to start guidance has been issued when an instruction to start guidance is received together with data specifying a rental property.

[0083] [Step S16: Display guide] The control unit 11 executes a process of displaying a guide in the virtual space by the guiding unit 117 (guide display step). The control unit 11 moves the process to step S17. In the guide display step, the guiding unit 117 displays the guide in the virtual space, for example, by transmitting data for displaying the guide in the virtual space (3D model, texture, movement information, etc.) to the terminal T of the person being guided. At this time, it is preferable that the guiding unit 117 superimposes and displays the guide on an image of the rental property that is the subject of the guide.

[0084] [Step S17: Determine whether a question has been asked] The control unit 11 executes a process of determining whether the person to be guided has asked a question to the guide displayed in the virtual space by the guiding unit 117 (question determination step). If it is determined that a question has been asked, the control unit 11 proceeds to step S18. If it is not determined that a question has been asked, the control unit 11 proceeds to step S19.

[0085] The procedure for determining whether or not a question has been asked in the question determination step is not particularly limited, and includes, for example, a procedure for determining that a question has been asked when text or voice question data has been received.

[0086] [Step S18: Generate a response] The control unit 11 executes a process of generating a response to the question determined to have been made in the question determination step by the guiding unit 117 (a response generation step). The control unit 11 moves the process to step S19. In the response generation step, the guiding unit 117 provides the generated response to the person being guided in an appropriate manner, such as a text display or audio playback.

[0087] In the response generation step, the means by which the guidance unit 117 generates a response is not particularly limited. For example, the means may be a so-called chatbot that generates a response. When the question data is voice data, it is preferable that the guidance unit 117 generates question text from the voice data using a voice recognition network.

[0088] In order to understand questions containing various expressions and generate appropriate responses, in the response generation step, the guiding unit 117 preferably generates a response to be conveyed by the guide to the guided person by processing using a language model that includes, as input, the question from the guided person and the above-mentioned features of the rental property. At this time, it is preferable that this language model has been pre-trained using training data that includes the above-mentioned question and the above-mentioned features as explanatory variables and the above-mentioned response as a target variable.

[0089] [Step S19: Determine whether to end the guidance] The control unit 11 executes a process of determining whether to end the above-mentioned guidance by the guidance unit 117 (guidance end determination step). If it is determined that the guidance should be ended, the control unit 11 returns the process to step S1 and repeats the processes from step S1 to step S19. If it is not determined that the guidance should be ended, the control unit 11 moves the process to step S17.

[0090] The procedure for determining whether the guidance has ended in the guidance end determination step is not particularly limited. For example, the procedure includes a procedure for determining that an instruction to end the guidance has been issued when an instruction to end the guidance is received.

[0091] [Substitute Step] In order to carry out management tasks during late night hours, etc. on behalf of the real estate management company or owner, etc., the support process preferably includes an acting step of transferring calls from tenants to a temporary call answering agent when the real estate management company or owner is unable to perform management tasks, and requesting that the agent perform the management tasks related to the calls on behalf of the real estate management company or owner.

[0092] [Steps for providing management indicators] In order to enable even staff members who are not sufficiently trained and lack experience to communicate the management status of the rental property to the owner, the support process preferably includes a management indicator providing step of providing management indicators related to the rental property. The management indicators include, for example, various indicators such as the current occupancy rate, the expected occupancy rate, the vacancy period, the male / female ratio, the age ratio, the number of people, the occupancy ratio, the number of residents, the management fee, or the total number of units, as well as trends in the various indicators.

[0093] [Owner Evaluation Step] In order to enable even staff members who are not sufficiently trained and lack experience to maintain good relationships with owners, the support process preferably includes an owner evaluation step of managing contact histories with owners of rental properties and evaluations of the owners. The owner evaluation step includes, for example, a procedure of requesting answers to a questionnaire evaluating the management work of staff members when sending reports and details to the owners, and evaluating the staff members based on the answers.

[0094] [Effect of support processing] By executing the above-described support process, the support device 1 of this embodiment manages property information of rental properties in real estate rental (steps S1 to S2). The support device 1 notifies the staff of the rental agency of rental-related tasks based on the property information managed by the property management unit 111 using the property database 131 via the notification unit 113 (steps S7 to S8). In this way, the support device 1 can support even staff who are not sufficiently trained to perform various rental-related tasks according to schedule.

[0095] The support device 1 uses the policy proposal unit 115 to propose policies to encourage people to move into rental properties based on the same property information as that of the notification unit 113 (steps S9 and S11). This allows the support device 1 to support even staff who are not sufficiently trained and lack experience in properly implementing policies to encourage people to move into rental properties.

[0096] The support device 1 provides search results that have commonalities between the searcher attributes and the resident attributes (steps S12 to S14), and can support even staff who are not sufficiently trained in introducing rental properties that match the resident attributes.

[0097] In addition, in a mode in which the policy proposal unit 115 uses machine learning (step S11), the support device 1 can propose more appropriate policies for various rental properties, and can support even staff who do not have sufficient education to more appropriately implement policies to encourage occupancy in rental properties.

[0098] Furthermore, in a mode in which the support device 1 estimates the target demographic for a rental property from the characteristics of the property (step S10), it makes suggestions based on the estimated target, and can support even staff who do not have sufficient training to more appropriately implement measures to encourage occupancy in rental properties.

[0099] In addition, the support device 1 can assist tenants in guiding them around rental properties in place of insufficiently trained staff in a mode in which a guide displayed in a virtual space shows them around rental properties.

[0100] Therefore, the support device 1 of this embodiment can manage property information for rental properties, thereby supporting schedule management related to real estate management work and the implementation of occupancy promotion measures, and can automate and support real estate management work exemplified by progress management of various tasks and consideration of occupancy promotion measures.

[0101] <Usage example> The following is an example of how the support device 1 of this embodiment is used.

[0102] [Property information update] Users, such as staff of rental companies who manage real estate, send data related to updating property information from terminal T to the support device 1. The data includes the details and deadlines of work related to real estate management, the characteristics of the property, etc. The support device 1 receives the data and manages updating the property information.

[0103] [Consideration of trading partners] A user who is the owner of a rental property instructs the support device 1 to consider a trading partner for the rental property he or she owns. The support device 1 estimates the asset value of the rental property and proposes a trading partner for the property based on the residual value related to depreciation. The user proceeds with the transaction for the rental property based on the proposal.

[0104] [Notification of work] The support device 1 notifies the staff of the work that is approaching its deadline based on the property information. The staff confirms the notification via the terminal T and proceeds with the notified work.

[0105] [Implementation of measures to promote occupancy] A user such as a staff member instructs the support device 1 to consider measures to promote occupancy. The support device 1 proposes measures to promote occupancy in rental properties based on the property information. The staff member checks the measures via the terminal T and implements measures such as advertising.

[0106] [Search for rental properties] A user such as a staff member or a prospective tenant instructs the support device 1 to search for rental properties. The support device 1 provides the search results for rental properties based on the attributes of the prospective tenant. The prospective tenant then proceeds with signing a rental property contract based on the search results.

[0107] [Digital viewing] A person to be guided, such as a prospective tenant, commands the support device 1 to guide the person to the rental property. The support device 1 displays a guide in the virtual space and displays responses to questions from the person to be guided. The person to be guided proceeds with the contract for the rental property based on the display and responses.

[0108] It should be noted that within the scope of the concept of the present invention, those skilled in the art may conceive of various modifications and alterations. Therefore, it is understood that such modifications and alterations fall within the scope of the present invention. For example, even if a person skilled in the art appropriately adds, deletes, or modifies components of the above-described embodiment, or adds, omits, or modifies the conditions of a process, such modifications are also included within the scope of the present invention as long as they maintain the gist of the present invention. [Explanation of symbols]

[0109] S System 1 Support equipment 11 Control section 111 Property Management Department 112 Asset Management Department 113 Notification Department 114 Target Estimation Unit 115 Measures Proposal Department 116 Search Department 117 Information Department 13 Storage section 131 property database 14 Communications Department N Network T-Terminal

Claims

1. A property management department that manages property information for rental properties in real estate rentals; a notification unit that notifies staff of the rental agent of work related to rental based on the property information; a policy proposal unit that proposes policies to promote occupancy of rental properties based on the property information; Equipped with The property management unit manages property information including work deadlines, rental conditions, and occupancy status related to rental properties. Support device for real estate management operations.

2. A search unit is further provided that provides search results of rental properties based on search conditions; The property management unit manages property information including tenant attributes of long-term tenants, the search unit provides search results that have a common part between the searcher attributes and the resident attributes based on search conditions including the searcher attributes of the searcher who issued the search command; The support device according to claim 1 .

3. The support device of claim 1, wherein the policy proposal unit proposes the policy through a machine learning process using the rental conditions and the occupancy status as inputs, and this machine learning is performed by pre-learning using learning data that includes the rental conditions and occupancy status of the rental property as explanatory variables and measures to promote occupancy in the rental property as a target variable.

4. a target estimation unit that estimates a target demographic for the rental property based on the property information; The property management unit manages property information including characteristics of the rental property, the target estimation unit uses machine learning that has been pre-trained using learning data that includes characteristics of rental properties as explanatory variables and the target demographic of the rental properties as a target variable, and estimates the target demographic by processing that uses the characteristics as input; The machine learning related to the policy proposal unit is pre-trained using learning data that further includes the target demographic of the rental property as an explanatory variable. The support device according to claim 3 .

5. A guide unit is further provided that displays a guide who shows around the rental property in the virtual space, The property management unit manages property information including characteristics of the rental property, The guiding unit generates a response to be conveyed by the guide to the person being guided by processing using a language model including a question from the person being guided and the characteristics as inputs, and this language model has been pre-trained using training data including the question and the characteristics as explanatory variables and the response as a target variable. The support device according to claim 1 .

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