Information processing device, information processing method, and program

The information processing device addresses the challenge of determining accurate rent levels by utilizing property and performance information to provide precise rent predictions and adjustments, leveraging machine learning and landlord-specific coefficients for improved rental negotiations.

JP2026048327AActive Publication Date: 2026-03-17GIVE SPIRAL JAPAN CO LTD
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Patent Information

Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
Filing Date
2024-09-05
Publication Date
2026-03-17

AI Technical Summary

Technical Problem

Determining an appropriate rent level for real estate properties is challenging due to the influence of various factors, making it difficult to accurately grasp the rent level.

Method used

An information processing device that acquires property and performance information, including past transactions, to output highly accurate rent information using a property information acquisition unit, performance information acquisition unit, output information acquisition unit, and output unit, which utilizes machine learning and special coefficients for landlord-specific adjustments.

Benefits of technology

Enables highly accurate output of rent information, including predicted rent levels and potential reductions, considering landlord-specific negotiation histories and market trends, facilitating data-driven rental decisions.

✦ Generated by Eureka AI based on patent content.

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Abstract

There is a need to be able to accurately determine appropriate rent levels. [Solution] The information processing device 1 includes a property information acquisition unit 143 that acquires property information related to the target real estate property, a performance information acquisition unit 145 that acquires performance information corresponding to the property information from a performance information storage unit 111 which stores performance information including information on past transactions of multiple real estate properties or information based thereon, an output information acquisition unit 147 that acquires output information regarding the rent of the target real estate property based on the performance information acquired by the performance information acquisition unit 145, and an output unit 151 that outputs the output information. The information processing device 1 can output output information with high accuracy regarding the rent of real estate properties.
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Description

Technical Field

[0001] This invention relates to an information processing apparatus, an information processing method, and a program capable of outputting information regarding rent in a lease contract of a real estate property.

Background Art

[0002] For a lessor, lessee of a real estate property, or a business operator engaged in the real estate business handling the property, it is useful to obtain information regarding an appropriate rent level of the property. For example, such information can be referred to in order to conduct a lease at a level similar to the appropriate rent level so that extreme disadvantage does not occur to either the lessor or the lessee.

[0003] Note that Patent Document 1 below describes the configuration of a real estate valuation apparatus capable of appropriately calculating the current value of a property. This apparatus is configured to input input conditions specific to the property including the selling price and correct and calculate the current value based on shared conditions such as the consumer price index. Further, it is designed to classify various conditions, multiply by an index of secular change, and output an appropriate current value.

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] By the way, although the value of a mere property is determined by various factors, the rent determined for the property is further affected by various factors. Therefore, it may be difficult to accurately grasp an appropriate rent level.

[0006] The purpose of this invention is to provide an information processing device, an information processing method, and a program that can output highly accurate information regarding the rent levels of real estate properties. [Means for solving the problem]

[0007] An information processing device according to one aspect of the present invention is an information processing device comprising: a property information acquisition unit that acquires property information related to a target real estate property; a performance information acquisition unit that acquires performance information corresponding to the property information from a performance information storage unit that stores performance information including information on past transactions of multiple real estate properties or information based thereon; an output information acquisition unit that acquires output information relating to the rent of the target real estate property based on the performance information acquired by the performance information acquisition unit; and an output unit that outputs the output information. [Effects of the Invention]

[0008] According to the present invention, it is possible to output highly accurate information regarding the rent of real estate properties. [Brief explanation of the drawing]

[0009] [Figure 1] Diagram showing the schematic configuration of the computer system in the embodiment. [Figure 2] A diagram showing an overview of the information processing system in this embodiment. [Figure 3] Block diagram showing the general configuration of the information processing device. [Figure 4] Figure 1 shows an example of performance information stored in the performance information storage unit. [Figure 5] Figure 2 shows an example of performance information stored in the performance information storage unit. [Figure 6] Figure 3 shows an example of performance information stored in the performance information storage unit. [Figure 7] Figure 4 shows an example of performance information stored in the performance information storage unit. [Figure 8] Figure 5 shows an example of performance information stored in the performance information storage unit. [Figure 9]Figure 6 shows an example of performance information stored in the performance information storage unit. [Figure 10] A flowchart illustrating an example of the operation of an information processing device. [Figure 11] Figure 1 shows an example of output information. [Figure 12] Figure 2 shows an example of output information. [Modes for carrying out the invention]

[0010] The embodiments of the information processing device, etc., will be described below with reference to the drawings.

[0011] Figure 1 is a diagram showing the schematic configuration of the computer system Z in an embodiment.

[0012] The computer system Z shown in the figure can be considered as an example of a computer configuration that realizes the devices and other equipment according to the embodiment. The functions of each device and other equipment according to the embodiment can be realized by the hardware of computer system Z and the programs it executes.

[0013] Computer system Z includes, for example, a general computer Z1, input devices Z2 such as a keyboard and mouse, and a display Z3. Computer Z1 may be a general configuration such as a personal computer or server device, and may include, for example, a storage device Z11 for storing programs and data read during their execution (e.g., optical disc drive, HDD, SSD, ROM, RAM, etc.), a communication module Z13 for communicating with external devices (e.g., a network card, etc.), a control device Z14 such as a CPU, etc.

[0014] The program Z12 that causes the computer system Z to execute various functions may be stored in the storage device Z11. It doesn't matter how the program Z12 is stored in the storage device Z11. The program Z12 may be stored in the storage device Z11 in advance, or a medium on which the program Z12 is stored in advance may be read by the storage device Z11, or the program Z12 obtained through a network or the like may be temporarily stored in the storage device Z11. The program Z12 may include only instructions that appropriately call functions to obtain a desired result.

[0015] FIG. 2 is a diagram showing an overview of the information processing system 100 in the present embodiment.

[0016] The information processing system 100 includes an information processing device 1, an external device 2, and a user terminal device 3 that can be used by a user. The information processing device 1 and the external device 2 can communicate with each other through a network or the like. Also, the information processing device 1 and the user terminal device 3 can communicate with each other through a network or the like.

[0017] The external device 2 is configured to be able to output information obtained based on received information between a specific device, for example, using a large language model 211. The external device 2 is, for example, a general server device, and the large language model 211 is stored in its storage unit 21. Note that the large language model 211 is a deep learning model that can execute natural language processing tasks and refers to those learned from a large amount of text data.

[0018] The configuration of the external device 2 is not limited to this, and various configurations capable of providing its functions may be adopted as the external device 2 or a substitute therefor. The external device 2 may be used as a device having a performance information storage unit for storing the performance information described later, or may be used as a device for performing voice recognition given as input information. In the information processing system 100, the external device 2 may not be used.

[0019] The user terminal device 3 is, for example, a typical smartphone, tablet, or personal computer. The user terminal device 3 is configured to display a screen or output sound based on information transmitted from the information processing device 1 to a predetermined application (including a web browser) running on it. The user terminal device 3 is configured to accept information input by the user. The accepted information can be transmitted to the information processing device 1.

[0020] In this embodiment, the information processing device 1 can be used to provide highly accurate information regarding the appropriate adjustment or reduction of rent for real estate properties. This information processing device 1 comprises the following main components, which work together to provide the user with useful output information regarding rent.

[0021] Figure 3 is a block diagram showing the schematic configuration of the information processing device 1.

[0022] The information processing device 1 is, for example, a server device. The information processing device 1 includes a storage unit 11, a receiving unit 12, a communication unit 13, a processing unit 14, and the like.

[0023] Various types of information are stored in the storage unit 11. The storage unit 11 is configured using, for example, a memory device Z11. The storage unit 11 includes a performance information storage unit 111.

[0024] The performance information storage unit 111 stores performance information. The process by which the performance information is accumulated in the performance information storage unit 111 is irrelevant. The performance information storage unit 111 is constructed as a database, but is not limited to this.

[0025] Performance information can be said to be, for example, information about past transactions involving real estate properties (hereinafter sometimes simply referred to as "properties").

[0026] A transaction refers to a lease agreement related to a real estate property, or the negotiation process leading up to such an agreement. A transaction can include a series of activities related to the contract, such as signing the contract, negotiating the terms, setting and negotiating rent, and renewing or terminating the contract. It can also be considered that transactions include sales and other transactions, not just lease agreements.

[0027] Transaction information can include a variety of details related to the transaction. This may include the content of the lease agreement and the terms and conditions related to the agreement (rent, contract period, renewal conditions, etc.). It may also include the negotiation history leading up to the agreement. It may also include the behavioral patterns of the landlord and tenant in the transaction, and past transaction history.

[0028] Furthermore, transaction information may include information based on transaction information. For example, it may include information generated from transaction information. This may include, for example, statistical information derived from past transaction data.

[0029] Furthermore, performance data may include information based on transactions for each property, as well as information about the property itself. For example, it may include information such as an identifier that can identify an individual property, along with information about that property. It may also include, for example, multiple properties with attribute values ​​of a specific attribute, along with information about those properties.

[0030] Information about a property includes, but is not limited to, detailed information about a specific property (address, area, year of construction, type of property, landlord (property owner), etc.), information about the property's area (region, city, ward, etc.), property type (residential, commercial facility, office building, etc.), and contract type (rental, lease, etc.). For example, information such as average values ​​for properties in each area where a property exists may be associated with that area and recorded as historical data.

[0031] In this embodiment, the performance information may include past transaction data related to a specific real estate property and information including analysis results based on that data. Specifically, for example, the performance information may include the terms and conditions of past lease agreements. It may also include the negotiation history between the landlord and tenant of the real estate property, and specific data concerning the landlord (for example, special coefficients described later may apply). Information concerning the landlord is associated with information that identifies the landlord.

[0032] Furthermore, in this embodiment, the performance information may include past rent fluctuation data, area-specific rent market rates, contract types, and information on land value assessments. This information may be stored for each property, such as by area or property type, or it may be stored in association with a specific real estate property.

[0033] Furthermore, the performance information may be updated by the update unit 157, as described later. This ensures that the performance information always reflects the most recent situation.

[0034] The reception unit 12 receives information input to the information processing device 1. The received information can be stored, for example, in the storage unit 11. Receiving information refers to receiving information input from an input device, receiving information transmitted from other devices, reading information from a recording medium, etc.

[0035] The communication unit 13 is configured using, for example, the aforementioned communication module. The communication unit 13 can send and receive information with external devices.

[0036] The processing unit 14 controls the operation of each part of the information processing device 1. The processing unit 14 performs various functions by executing programs, etc. In this embodiment, the processing unit 14 includes an input information acquisition unit 141, a property information acquisition unit 143, a performance information acquisition unit 145, an output information acquisition unit 147, a display information acquisition unit 149, an output unit 151, an update information acquisition unit 155, and an update unit 157.

[0037] In the following, "acquisition" may include acquiring input information and acquiring information stored in other devices. It may also include acquiring information in a different format based on the original information. Furthermore, known machine learning techniques may be used to acquire information. That is, training information configured to take a specific type of information as input and to output the type of information to be acquired may be constructed using machine learning techniques, and the type of information to be output may be acquired by applying the input information to that training information.

[0038] The input information acquisition unit 141 acquires input information based on the information received by the reception unit 12. The input information may include, for example, information manually entered by the user, such as information about the property, area specification, information about the landlord, contract type, or questions about rent entered by voice. The input information acquisition unit 141 may also extract the property's location, property type, and the type of necessary output information from the information entered by the user, and use the extracted information as input information.

[0039] In this embodiment, the input information acquisition unit 141 is configured to acquire input information corresponding to the input voice. That is, the user can input information by voice. For example, if the user inputs an instruction by voice, the input information acquisition unit 141 can convert this into text information using voice recognition technology and use it as input information. The input information acquisition unit 141 may also extract the property's location, property type, and the type of necessary output information from the converted text information and use the extracted information as input information. The input information may be data transmitted from, for example, an external device 2. The acquired input information is passed to the property information acquisition unit 143.

[0040] The property information acquisition unit 143 acquires property information related to the target real estate property. The target real estate property refers to the real estate property from which output information is to be obtained. The property information related to the target real estate property may be property information about a specific real estate property, or it may be property information about a property that satisfies certain conditions (for example, being a real estate property located in a specific area). In this embodiment, the property information acquisition unit 143 is configured to acquire property information based on input information. The acquisition of property information may be performed using known morphological analysis or the like, for example, information from the input information that corresponds to a predetermined detailed information pattern may be acquired as property information, but is not limited to this.

[0041] Specifically, property information may include not only detailed information about a particular property (address, area, year of construction, property type, etc.), but also information about the property's area (region, city, ward, etc.), property type (residential, commercial facility, office building, etc.), and contract type (rental, lease, etc.). Information about the property owner (landlord) may also be included in the property information.

[0042] The performance information acquisition unit 145 acquires performance information corresponding to the property information from the performance information storage unit 111. In this embodiment, the performance information acquisition unit 145 searches for and acquires the relevant performance information from the performance information storage unit 111 based on the property information received from the property information acquisition unit 143. It can also be said that the performance information acquisition unit 145 acquires records of performance information corresponding to the property information acquired by the property information acquisition unit 143 from the performance information database.

[0043] In this embodiment, for example, the performance information acquisition unit 145 may access the database on a query basis and acquire past performance information that matches property information (e.g., location and property type) specified by the user. For example, it may be configured to extract performance information by specifying conditions such as "average rent for office buildings in Bunkyo Ward, Tokyo".

[0044] Furthermore, the performance information acquisition unit 145 may be configured to acquire attribute values ​​of multiple predetermined attributes included in the performance information corresponding to the property information. For example, when property information specifying the location and property type is given and the average rent is to be output, the value of the area-specific average rent corresponding to the location (an example of a predetermined attribute) and the value of the type-specific average rent corresponding to the property type (an example of a predetermined attribute) may be acquired as performance information. Also, for example, when property information indicating a specific property is given, the attribute values ​​of the area-specific average rent corresponding to the location corresponding to that property and the type-specific average rent corresponding to the property type corresponding to that property may be acquired.

[0045] Furthermore, even if performance information corresponding to property information does not exist in the performance information storage unit 111, the performance information acquisition unit 145 may be configured to acquire performance information based on existing information. That is, if an attribute value of a predetermined attribute corresponding to property information exists in the performance information, the performance information acquisition unit 145 may acquire that attribute value as performance information, and if an attribute value of the predetermined attribute does not exist, it may acquire a value based on other attribute values ​​of that attribute as performance information. For example, when the target of acquisition is the average rent by area corresponding to a specific location, and the average rent by area corresponding to that specific location is not stored in the performance information storage unit 111, the performance information acquisition unit 145 may acquire the average rent by area corresponding to another location, or acquire a value (for example, an average value) calculated based on the average rent of multiple other locations. This makes it possible to output output information that is valid to a certain extent even when performance information is not available, thereby improving the convenience of the information processing device 1.

[0046] In this embodiment, the performance information acquisition unit 145 is configured to acquire a special coefficient corresponding to the landlord of the target real estate property when acquiring performance information corresponding to the target real estate property.

[0047] A special coefficient is a value determined for landlords based on the results of negotiations regarding lease terms conducted between the landlord and the tenant of a real estate property. In this embodiment, the special coefficient is determined in accordance with the results of negotiations that seek the application of contract terms that are advantageous to the tenant and disadvantageous to the landlord, such as negotiations for a reduction in rent.

[0048] In this embodiment, the special coefficient can be said to be a special adjustment coefficient that is substantially applied to a particular landlord or property. That is, the special coefficient is set based on past negotiation history and contract terms and can be used to adjust rent predictions and negotiation success rates. For example, the special coefficient for landlords with whom negotiations tend to be difficult will be lower, thereby suppressing the predicted rent reduction, as will be described later.

[0049] The output information acquisition unit 147 acquires output information regarding the rent of the target real estate property based on the performance information acquired by the performance information acquisition unit 145. Based on the performance information acquired from the performance information acquisition unit 145, the output information acquisition unit 147 acquires output information regarding the predicted rent of the target real estate property and the possibility of rent reduction. This makes the output information useful for users to understand the appropriate rent for a particular property. The output information regarding rent is information related to the rent of a specific property or a property with attribute values ​​of a specific attribute, which can be generated based on performance information and transaction information. The output information can include, for example, the predicted appropriate rent, whether or not there is a possibility of a reduction from the current rent and by how much, and the trend of past rent fluctuations.

[0050] The method for acquiring output information can be a predetermined method. For example, the output information acquisition unit 147 may use the acquired actual information as output information as is. Alternatively, for example, the output information acquisition unit 147 may multiply the acquired actual information by a constant based on a predetermined financial indicator or inflation rate to produce output information. Alternatively, for example, the output information acquisition unit 147 may construct message-formatted output information to produce output information. Alternatively, for example, the output information acquisition unit 147 may construct message-formatted output information based on the acquired actual information to produce output information. Alternatively, for example, the output information acquisition unit 147 may use predicted values ​​calculated using statistical methods or regression analysis methods based on the acquired actual information to produce output information. For example, the output information acquisition unit 147 may be configured to predict appropriate rent by performing regression analysis or the like based on the acquired actual information. Alternatively, the output information acquisition unit 147 may use an external device 2 to obtain the output results of a large-scale language model 211 based on the actual information, and use those output results or information based on those output results as output information.

[0051] Here, in cases where attribute values ​​for multiple predetermined attributes have been acquired as actual performance information as described above, the output information acquisition unit 147 may be configured to acquire output information by combining the acquired attribute values. Combining multiple attribute values ​​may be done, for example, by applying each attribute value to a predetermined mathematical formula. Furthermore, combining multiple attribute values ​​may involve, for example, taking the average value if the attribute values ​​are of the same nature, or calculating an intermediate value with a predetermined balance. Also, if there are attribute values ​​such as coefficients or constants, the base attribute value may be multiplied by the coefficient, or addition or subtraction may be performed. For example, consider a case where the average rent is to be output, and the average rent by location and the average rent by type corresponding to the property type have been acquired as actual performance information. In this case, for example, the output information acquisition unit 147 can use the average of the area-specific average rent and the type-specific average rent as the output information for the average rent.

[0052] Furthermore, the output information acquisition unit 147 may be configured to acquire output information using the special coefficient when the performance information acquisition unit 145 acquires the special coefficient. For example, the output information acquisition unit 147 may use the special coefficient to output information related to the amount by which the rent of the target property can be reduced. Information related to the amount by which the rent can be reduced may, for example, be information indicating how much of a reduction from the current rent is possible. The output information may also be information related to reducing the rent of the target property. Information related to reduction may be information on the possibility of reducing the rent or how much of a reduction can actually be expected. In other words, the output information acquisition unit 147 may acquire output information related to the prospect of reduction and the specific amount of reduction that can be expected. Such output information can be used as reference when considering negotiating contract terms with a particular landlord.

[0053] The display information acquisition unit 149 acquires display information used to display a two-dimensional or three-dimensional model to be shown to the user. Here, the model refers to a two-dimensional or three-dimensional character in the shape of a human. This model may be used, for example, in the information processing system 100 to assist in providing information to the user or in providing an interactive experience. The display information acquisition unit 149 acquires the display information of the model and outputs it through the output unit 151 so that the model is displayed to the user by the display means. In this embodiment, the model plays a role in visually explaining the output information and can help to intuitively understand the information, but the role of the model is not limited to this.

[0054] The displayed information may be image data for displaying the model, or it may be control information for drawing the model. The displayed information may also be control signals for whether or not to change the state of the model to a predetermined state.

[0055] In this embodiment, the information processing system 100 is configured so that the user can listen to audio based on the output information. In this case, the display information acquisition unit 149 is configured to acquire display information such that the state of the model displayed by the display means changes in accordance with the audio during playback of the audio based on the output information. Here, the state of the model refers to, for example, the display and movement status of the character, and may be, for example, the character's pose, facial expression, clothing, gestures, etc. It may also refer to the viewpoint from which the character is displayed, or the progress of the animation being displayed. Furthermore, the change in the state of the model in accordance with the audio means, for example, that the display and movement of the character change in accordance with the main state of the audio based on the output information.

[0056] For example, the display information acquisition unit 149 is configured to acquire display information such that the shape and expression of the character's mouth (an example of the model's state) changes in accordance with the audio based on the output information. For example, by using known lip-sync technology to make the shape and expression of the model's mouth change in accordance with the audio, the output information can be output as audio as if the model were speaking, providing users with a more interactive and user-friendly experience.

[0057] The output unit 151 outputs output information. Output of information refers to display by display means, printing by printing means, transmission to an external device, recording to a recording medium, or transfer of processing results to other devices or other programs. For example, output of output information can be transmitted to the user's user terminal device 3, stored in the storage unit 11 or the like for the user to view, or displayed on a display device or the like. This makes the output information available for use by the user. In this embodiment, the output unit 151 outputs display information along with the output information. This allows the user to confirm a model based on the display information.

[0058] In this embodiment, the output unit 151 outputs output information in such a way that audio based on the output information can be reproduced. For example, speech synthesis technology may be used to output audio data for providing information orally to the user. Alternatively, if speech synthesis technology can be used in the user terminal device 3, information for using that speech synthesis technology may be output. By outputting output information in such a way that audio based on the output information can be reproduced, the user can understand information regarding rent through audio.

[0059] The update information acquisition unit 155 acquires information regarding contract renewals for real estate properties, along with property information that identifies the real estate properties. For example, if a user performs an operation to input information regarding contract renewals in association with property information, the update information acquisition unit 155 acquires that information. The update information acquisition unit 155 may also be configured to automatically acquire newly made contract renewal information by linking with, for example, an external real estate management system or contract management information system.

[0060] Furthermore, information regarding contract renewals for real estate properties can refer to information regarding renewals in existing lease agreements. This may include the renewed contract terms, the rent at the time of renewal, the renewal period, and the negotiation history leading up to the renewal.

[0061] The update unit 157 updates the performance information stored in the performance information storage unit 111 based on the information acquired by the update information acquisition unit 155. Updating may involve not only changing the stored information, but also adding new information to the stored information. Furthermore, updating may also include the deletion of some or all of the stored information.

[0062] In this way, the update information acquisition unit 155 and the update unit 157 reflect new data related to contract renewal in the performance information storage unit 111, and play a role in keeping the contents of the performance information database up to date. This makes it possible to output output information such as rent forecasts based on the latest information.

[0063] Furthermore, the update information acquisition unit 155 and the update unit 157 may be equipped with a function to collect external market trend data and economic indicator data (for example, consumer price index and regional economic growth rate) and correct the actual performance information based on this data. This will enable the updating of actual performance information that reflects a wide range of market trends, not just simple contract renewal information.

[0064] Next, an example of the performance information stored in the performance information storage unit 111 used in this embodiment will be described. Here, the performance information used includes the average monthly rent by area for each industry, the land value by area for each industry, and the average monthly rent by property attribute (for example, by property type) for each industry. In addition, the performance information used includes the average success rate and average reduction rate for rent reduction negotiations, and special coefficients for each landlord.

[0065] Figure 4 is the first diagram showing an example of performance information stored in the performance information storage unit 111.

[0066] Figure 4 shows a table illustrating the average monthly rent by industry and area. The table is structured to allow the identification of the average monthly rent for each industry and each area where the property is located. When the industry and address are specified as property information, the performance information acquisition unit 145 can acquire the corresponding average monthly rent as one of the performance information items from the information in this table.

[0067] Figure 5 is a second diagram showing an example of performance information stored in the performance information storage unit 111.

[0068] Figure 5 shows a table illustrating land values ​​by industry and area. The table is structured to allow for the identification of land values ​​for each industry and each area where a property is located. When the industry and address are specified as property information, the performance information acquisition unit 145 can acquire the corresponding land value as one of the performance information items from the information in this table.

[0069] Figure 6 is a third diagram showing an example of performance information stored in the performance information storage unit 111.

[0070] Figure 6 shows a table illustrating the average monthly rent by property attribute for each industry. The table is structured to allow the identification of the average monthly rent for each attribute value to which a property belongs, for each industry. Property attributes include, for example, property type, contract type, years elapsed since the start of the lease agreement, square footage, landlord type, etc. For each attribute, the average monthly rent can be identified for each corresponding attribute value. In other words, when the industry and attribute values ​​related to these property attributes are specified as property information, the performance information acquisition unit 145 can acquire the corresponding average monthly rent as one of the performance information items from the information in this table.

[0071] In addition, in tables where this performance information can be identified, there may be blanks (no corresponding value) due to reasons such as the lack of past data. If a value that should be identified based on property information falls into a blank field, the performance information acquisition unit 145 may be configured to acquire a value calculated using other values ​​in the table as one of the performance information values. For example, consider the case in the table shown in Figure 3 where the area is "Minato-ku" and the industry is "Wholesale" and there is a blank field. In this case, if a value is required for the blank field, the performance information acquisition unit 145 may, for example, acquire the average value of other industry types in the area of ​​"Minato-ku" as performance information, or acquire the value of an industry type of "Wholesale" in another area as performance information. Alternatively, the unit may be configured to select which area's value to use based on the condition that the value of another industry type is close to "Minato-ku".

[0072] Figure 7 is the fourth figure showing an example of performance information stored in the performance information storage unit 111.

[0073] Figure 7 shows a table illustrating the average success rate for rent reduction negotiations. Here, information is provided that allows for the identification of the average success rate for each area and for each attribute value to which the property belongs. In other words, when the property information specifies the industry and attribute values ​​related to these property attributes, the performance information acquisition unit 145 can acquire the corresponding average success rate as one of the performance information items from the information in this table.

[0074] Figure 8 is the fifth figure showing an example of performance information stored in the performance information storage unit 111.

[0075] Figure 8 shows a table illustrating the average rent reduction rate when a reduction is agreed upon as a result of rent reduction negotiations. Here, information is provided that allows for the identification of the average reduction rate for each area and for each attribute value to which the property belongs. In other words, when the property information specifies the industry and attribute values ​​related to these property attributes, the performance information acquisition unit 145 can acquire the corresponding average reduction rate as one of the performance information items from the information in this table.

[0076] Using these average success rates and average reduction rates, along with the current rent or average monthly rent, it is possible to calculate the expected amount of rent reduction that can be achieved through rent reduction negotiations, and to obtain an estimated rent after negotiations.

[0077] Figure 9 is the sixth figure showing an example of performance information stored in the performance information storage unit 111.

[0078] Figure 9 shows a table illustrating special coefficients determined for each landlord. Here, information that allows for the identification of a special coefficient is shown, associated with the landlord's name, which allows for the identification of the landlord. In this example, information such as the success rate of rent reduction negotiations, the average reduction rate when a reduction is agreed upon, a coefficient indicating the expected reduction value for each property (success rate multiplied by the reduction rate), the total number of negotiations, and the number of unsuccessful negotiations (NG count) are also shown. The performance information acquisition unit 145 can acquire the special coefficient corresponding to the landlord identified based on the property information as one of the performance information items.

[0079] In this embodiment, the special coefficient is set based on the success rate and reduction rate of rent reduction negotiations. For example, if the coefficient indicating the expected reduction is below a predetermined value (e.g., 0%), the special coefficient may be determined to a predetermined value (e.g., 0.01%). In this embodiment, the special coefficient may also be set according to the negotiation history. For example, if the number of consecutive unsuccessful negotiations reaches a predetermined number, a predetermined constant may be set as the special coefficient. In this case, it may be thought that a predetermined constant is set instead of a special coefficient. In the example shown in the figure, if the number of unsuccessful negotiations reaches 3, a constant of minus 100,000 yen is set, and if it reaches 5, a constant of minus 200,000 yen is set.

[0080] Such special coefficients can be used to output information, particularly for properties managed by landlords where rent reduction negotiations are unlikely to yield favorable results for tenants. For example, if a special coefficient is set, the expected reduction amount can be calculated by multiplying it by the current rent or the average monthly rent. Alternatively, the output information may be generated using other calculation methods.

[0081] For example, for properties where negotiations are likely to be successful, the expected amount of the rent reduction and the rent level reflecting that reduction can be output as information. On the other hand, for properties where negotiations are unlikely to be successful, the expected amount of the rent reduction can be set to an extremely low value, or values ​​that can be considered outliers can be output. Therefore, by using the output information, it is possible to accurately consider in advance the significance and benefits of conducting rent reduction negotiations.

[0082] Furthermore, special coefficients may be set according to information such as the landlord's personal negotiation style and what contract terms the landlord has prioritized in the past. Special coefficients may also be set considering the landlord's asset situation and market influence. For example, landlords with large asset bases and strong market influence may be subject to stricter negotiation terms, and values ​​reflecting this may be set accordingly. This allows for more accurate output information even for landlords for whom success rates and reduction rates are unavailable.

[0083] Next, we will explain the operation flow of the information processing device 1.

[0084] Figure 10 is a flowchart showing an example of the operation of the information processing device 1.

[0085] First, the processing unit 14 acquires input information based on information about real estate properties entered by users, etc. (step S11).

[0086] Next, the processing unit 14 acquires property information (step S12). The property information acquisition unit 143 acquires property information related to the target real estate property based on the input information.

[0087] The processing unit 14 acquires performance information (step S13). Specifically, the performance information acquisition unit 145 acquires performance information identified using property information from the performance information storage unit 111.

[0088] Next, the processing unit 14 determines whether or not a special coefficient has been obtained as performance information (step S14). That is, it determines whether or not a special coefficient exists for the target real estate property. If it is determined that a special coefficient has been obtained, the process proceeds to step S15; otherwise, it proceeds to step S16.

[0089] If a special coefficient exists for a particular landlord, the processing unit 14 uses that special coefficient to obtain output information (step S15). In this case, the normal performance information obtained in step S13 may also be used. On the other hand, if no special coefficient exists, the processing unit 14 obtains output information based on the normal performance information obtained in step S13 (step S16).

[0090] The processing unit 14 acquires display information according to the output information (step S17).

[0091] Subsequently, the processing unit 14 outputs the acquired output information and display information. This ensures that the output information is provided to the user.

[0092] Next, a specific example of this embodiment will be described. In this example, we assume that a user asks a question via text input about the average rent for restaurant properties in Shibuya Ward, Tokyo.

[0093] In other words, the user asks a question by typing "What is the average rent for restaurant properties in Shibuya Ward, Tokyo?" on the interface screen displayed by the information processing device 1.

[0094] Next, the property information acquisition unit 143 acquires the property information. Specifically, the property information acquisition unit 143 extracts the keywords "Shibuya Ward, Tokyo" and "restaurant" from the input text and identifies the corresponding property information. This property information will include the target area (Shibuya Ward, Tokyo) and the property type (restaurant).

[0095] The performance information acquisition unit 145 searches for and acquires performance information. For example, based on the property information, the performance information acquisition unit 145 searches the performance information storage unit 111 for past average rent data for "restaurant properties" located in "Shibuya Ward, Tokyo". In addition to the search results, past contract information (rent, contract conditions, success or failure of rent reduction negotiations, etc.) and area-specific rent fluctuation data may also be acquired.

[0096] Subsequently, the output information acquisition unit 147 generates output information. Specifically, the output information acquisition unit 147 calculates the average rent corresponding to the specified area and property type based on the acquired performance information.

[0097] Furthermore, the performance information storage unit 111 may store a large amount of actual transaction data as performance information. In this case, the performance information acquisition unit 145 may acquire a large amount of related transaction data as performance information, and the output information acquisition unit 147 may generate output information using this transaction data. In this example, for example, the average rent for "restaurant properties" in "Shibuya Ward, Tokyo" may be calculated from transaction data for the past year and acquired as output information.

[0098] Subsequently, the output unit 151 outputs information to the user. Specifically, the output unit 151 outputs output information such as the calculated average rent to be displayed on the screen of the user terminal device 3. For example, the output information may be displayed as, "The average rent for restaurant properties in Shibuya Ward, Tokyo is 20,000 yen per square meter."

[0099] Another specific example is as follows: For instance, imagine a scenario where a user voice-inputs the address and current rent of a specific property in Koto Ward, Tokyo, and asks how much the current rent could be reduced.

[0100] In this case, the input information acquisition unit 141 converts the voice input into text, and the property information acquisition unit 143 extracts information such as "○○ Building, Koto Ward, Tokyo" and "Current rent: 300,000 yen".

[0101] The performance information acquisition unit 145 retrieves performance information by searching the performance information storage unit 111 for transaction data of similar properties located in "Koto Ward, Tokyo," as well as past negotiation history and special coefficients related to the specific landlord of the property, based on the property information.

[0102] The output information acquisition unit 147 evaluates whether the current rent is high or low compared to the market price based on past data and predicts the possibility of a rent reduction. In addition, if there is a special coefficient for a specific landlord, it uses that special coefficient to calculate the rent reduction amount, etc. Then, it acquires output information such as, "Based on past data, it may be possible to reduce the current rent by up to 10%."

[0103] The output unit 151 outputs information to display the rent reduction prediction information on the screen of the user terminal device 3. For example, it may display information such as, "There is a possibility of reducing the rent of XX Building by up to 10%. A reduction from the current rent of 300,000 yen to 270,000 yen is expected." Alternatively, the voice output function of the user terminal device 3 may be used to have this output information explained aloud.

[0104] Figure 11 is the first figure showing an example of output information.

[0105] Figure 11 shows an example where output information is displayed on the output information display screen 441 of a user terminal device 3, which is a smartphone. For example, the output information display screen 441 can be a screen that displays the corresponding output information after receiving input information via a chat interface. Since the output information can be displayed on the user terminal device 3 in this way, users can easily use the information processing system 100.

[0106] Figure 12 is a second figure showing an example of output information.

[0107] Figure 12 shows an example of displaying the output information display screen 441B in a web browser running on, for example, the user terminal device 3. The output information display screen 441B is a report screen that includes predicted values ​​for rent based on the output information. The output information display screen 441 also includes a model display screen 445 in which a character is displayed. The model displayed on the model display screen 445 is displayed with animation corresponding to the playback of audio based on the output information, according to the display information output by the output unit 151. Since the output information can be used with such an interface, a more interactive user experience can be provided to the user.

[0108] As described above, this embodiment makes it possible to provide users with highly accurate output information regarding the appropriate adjustment or reduction of rent for real estate properties.

[0109] Furthermore, by considering negotiation history and special coefficients related to specific landlords, it becomes possible to provide users with more realistic and useful rental information. This allows users to make data-driven and appropriate decisions during rental negotiations.

[0110] The processing in this embodiment may be implemented by the following program. The program is executed by the computer of the information processing device 1, and the computer functions as a property information acquisition unit that acquires property information related to the target real estate property, a performance information acquisition unit that acquires performance information corresponding to the property information from the performance information storage unit, an output information acquisition unit that acquires output information regarding the rent of the target real estate property based on the performance information acquired by the performance information acquisition unit, and an output unit that outputs the output information.

[0111] In the above embodiment, each component can be implemented using dedicated hardware or software. In the case of software, it is implemented by executing a program, and each component functions when the CPU executes a program recorded on a recording medium such as a hard disk or semiconductor memory. The program may also be executed while accessing the storage unit or recording medium, and can be executed by downloading from a server or reading from a recording medium such as an optical disc. Furthermore, this program may also be used as a program product and executed by one or more computers, and centralized or distributed processing may be performed.

[0112] Each process or function can be implemented either through centralized processing by a single device (system) or through distributed processing by multiple devices. In this case, the entire system, consisting of multiple devices performing distributed processing, can be recognized as a single "device." Furthermore, two or more components present in a single device can also be implemented physically in a single medium.

[0113] It should be noted that the present invention is not limited to the embodiments described above, and various modifications are possible, all of which are also included within the scope of the present invention. For example, some of the components or functions of the embodiments described above may be omitted.

[0114] Furthermore, the output information acquisition unit may be configured to generate a report containing information on rent in a predetermined format for the user based on the actual performance information, and to acquire this report as output information. In the report, the actual performance information may be visually represented using graphs, charts, etc. Such a report can be generated, for example, by applying the acquired actual performance information to a predetermined template, but is not limited to this. By having such output information output by the output unit, the user can easily and reliably check information on rent. In addition, if the user is a business that provides consulting services at the request of tenants, it can easily create reports to be delivered to tenants.

[0115] For example, the performance information storage unit may be built as a cloud-based system that manages multiple databases in a distributed manner. Alternatively, big data analysis technology may be used to extract specific patterns and trends from vast amounts of transaction data, which may then be stored or updated as performance information. The analysis may be performed by an external device or by an update information acquisition unit.

[0116] The aforementioned speech recognition processing and control for displaying character models do not necessarily have to be performed by the information processing device or provided by an external device. For example, the information processing device may transmit the necessary information to an external device, the external device may perform these processes, and the processing results may be transmitted back to the information processing device, thereby achieving the same results as described above.

[0117] The large-scale language model described above does not necessarily have to be provided by an external device. The storage location of the large-scale language model is not limited to what is described above. For example, it may be stored inside an information processing device, and the processing unit may, as appropriate, input information to the large-scale language model and retrieve generated information.

[0118] Furthermore, the above embodiment can be described as follows.

[0119] The first configuration of the information processing device comprises: a property information acquisition unit that acquires property information related to a target real estate property; a performance information acquisition unit that acquires performance information corresponding to the property information from a performance information storage unit that stores performance information including information on past transactions of multiple real estate properties or information based thereon; an output information acquisition unit that acquires output information regarding the rent of the target real estate property based on the performance information acquired by the performance information acquisition unit; and an output unit that outputs the output information.

[0120] Furthermore, the information processing device in the second configuration is an information processing device in the first configuration where the performance information includes contract information based on contracts made in the past for each real estate property, and the contract information includes rent, contract terms other than rent, or information regarding changes in contract terms.

[0121] Furthermore, the information processing device in the third configuration is an information processing device in which, in the first configuration, the performance information includes at least attribute values ​​of attributes relating to the location of each real estate property and attribute values ​​of attributes relating to the type of property, the performance information acquisition unit acquires attribute values ​​of a plurality of predetermined attributes included in the performance information corresponding to the property information, and the output information acquisition unit acquires output information by combining the plurality of attribute values ​​acquired by the performance information acquisition unit.

[0122] Furthermore, the information processing device in the fourth configuration is an information processing device in the third configuration which, if an attribute value of a predetermined attribute corresponding to property information exists in the performance information, acquires the attribute value, and if an attribute value of a predetermined attribute corresponding to property information does not exist in the performance information, acquires a value based on other attribute values ​​of the attribute as the attribute value of the predetermined attribute.

[0123] Furthermore, the information processing device in the fifth configuration is an information processing device in which, in the first configuration, the performance information includes information that can identify the landlord of a real estate property and a special coefficient determined based on the transaction history of the real estate property corresponding to the landlord, the performance information acquisition unit acquires the special coefficient corresponding to the landlord of the target real estate property included in the performance information, and the output information acquisition unit acquires output information using the special coefficient acquired by the performance information acquisition unit.

[0124] Furthermore, the information processing device in the sixth configuration is an information processing device in the fifth configuration which has a special coefficient that is determined based on the results of negotiations regarding lease terms conducted between the landlord and the tenant of the property on behalf of the tenant of the property, and an output information acquisition unit which uses the special coefficient to output information related to the amount that can be reduced for the rent of the property in question.

[0125] Furthermore, the seventh configuration of the information processing device is an information processing device that, in the first configuration, includes an update information acquisition unit that acquires information relating to contract renewals made with respect to real estate properties, along with property information that identifies the real estate properties, and an update unit that updates the performance information stored in the performance information storage unit based on the information acquired by the update information acquisition unit.

[0126] Furthermore, the eighth configuration of the information processing device is an information processing device in the first configuration that outputs information relating to reducing the rent of the target real estate property.

[0127] Furthermore, the ninth configuration of the information processing device is an information processing device that, in the first configuration, includes an input information acquisition unit that acquires input information corresponding to the input voice, and an property information acquisition unit that is configured to acquire property information based on the input information.

[0128] Furthermore, in the tenth configuration of the information processing device, the output unit, in the first configuration, is an information processing device that outputs output information such that sound based on the output information can be reproduced.

[0129] Furthermore, the eleventh configuration of the information processing device is an information processing device that, in the tenth configuration, includes a display information acquisition unit that acquires display information for displaying a model such that the state of the two-dimensional or three-dimensional model displayed by the display means changes in accordance with the sound during playback of sound based on output information, and an output unit that outputs the display information together with the output information.

[0130] Furthermore, the information processing method of the twelfth configuration is an information processing method having a performance information storage unit that stores performance information including information relating to or based on past transactions of multiple real estate properties, a property information acquisition unit, an output information acquisition unit, and an output unit, wherein the property information acquisition unit includes a property information acquisition step in which it acquires property information related to the target real estate property, a performance information acquisition step in which it acquires performance information corresponding to the property information from the performance information storage unit, an output information acquisition step in which it acquires output information relating to the rent of the target real estate property based on the performance information acquired in the performance information acquisition step, and an output step in which the output unit outputs the output information.

[0131] Furthermore, the thirteenth configuration of the program is a program that causes a computer capable of accessing a performance information storage unit, which stores performance information including information on past transactions of multiple real estate properties or information based thereon, to function as a property information acquisition unit that acquires property information related to the target real estate property, a performance information acquisition unit that acquires performance information corresponding to the property information from the performance information storage unit, an output information acquisition unit that acquires output information regarding the rent of the target real estate property based on the performance information acquired by the performance information acquisition unit, and an output unit that outputs the output information. [Explanation of Symbols]

[0132] 1. Information Processing Device 11 Storage Unit 12 Reception Department 13 Communications Department 14 Processing Unit 100 Information Processing Systems 111 Performance Information Storage Unit 141 Input Information Acquisition Unit 143 Property Information Acquisition Department 145 Performance Information Acquisition Department 147 Output Information Acquisition Unit 149 Display information acquisition unit 151 Output section 155 Update information acquisition section 157 Update Department

Claims

1. A property information acquisition unit that acquires property information related to the target real estate property, A performance information acquisition unit acquires performance information corresponding to the property information from a performance information storage unit that stores performance information including information on past transactions of multiple real estate properties or information based thereon, Based on the performance information acquired by the performance information acquisition unit, an output information acquisition unit acquires output information regarding the rent of the target real estate property, An information processing device comprising an output unit that outputs the aforementioned output information.

2. The aforementioned performance information includes contract information based on past contracts for each real estate property. The information processing device according to claim 1, wherein the contract information includes rent, contract terms other than rent, or information regarding changes in contract terms.

3. The aforementioned performance information includes, at a minimum, attribute values ​​for the location of each real estate property and attribute values ​​for the type of property. The aforementioned performance information acquisition unit acquires the attribute values ​​of a plurality of predetermined attributes included in the performance information corresponding to the property information, The information processing apparatus according to claim 1, wherein the output information acquisition unit acquires the output information by combining a plurality of attribute values ​​acquired by the performance information acquisition unit.

4. The aforementioned performance information acquisition unit, If an attribute value for a predetermined attribute corresponding to the property information exists in the aforementioned performance information, the attribute value is obtained. The information processing apparatus according to claim 3, wherein if there is no attribute value for a predetermined attribute corresponding to the property information in the performance information, a value based on another attribute value of that attribute is obtained as the attribute value of the predetermined attribute.

5. The aforementioned performance information includes information that can identify the landlord of a real estate property and a special coefficient determined based on the transaction history of the real estate property corresponding to the landlord. The performance information acquisition unit acquires a special coefficient corresponding to the landlord of the target real estate property, which is included in the performance information. The information processing apparatus according to claim 1, wherein the output information acquisition unit acquires the output information using the special coefficient acquired by the performance information acquisition unit.

6. The aforementioned special coefficient has a value determined for the corresponding landlord based on the results of negotiations regarding lease terms conducted between the landlord and the tenant of the property. The information processing apparatus according to claim 5, wherein the output information acquisition unit outputs information related to the amount by which the rent of the target real estate property can be reduced using the special coefficient.

7. A renewal information acquisition unit acquires information regarding contract renewals for real estate properties, along with property information that identifies the real estate property in question. The information processing apparatus according to claim 1, further comprising: an update unit that updates the performance information stored in the performance information storage unit based on the information acquired by the update information acquisition unit.

8. The information processing apparatus according to claim 1, wherein the output information is information relating to reducing the rent of the real estate property in question.

9. It includes an input information acquisition unit that acquires input information corresponding to the input audio, The information processing apparatus according to claim 1, wherein the property information acquisition unit is configured to acquire property information based on the input information.

10. The information processing apparatus according to claim 1, wherein the output unit outputs the output information such that sound based on the output information can be reproduced.

11. The system includes a display information acquisition unit that acquires display information for displaying a two-dimensional or three-dimensional model, such that the state of the model displayed by the display means changes in accordance with the audio during playback of the audio based on the output information. The information processing apparatus according to claim 10, wherein the output unit outputs the display information together with the output information.

12. An information processing method comprising: a performance information storage unit that stores performance information including information on past transactions of multiple real estate properties or information based thereon; a property information acquisition unit; a performance information acquisition unit; an output information acquisition unit; and an output unit, The aforementioned property information acquisition unit performs a property information acquisition step in which it acquires property information related to the target real estate property, The aforementioned performance information acquisition unit acquires performance information corresponding to the property information from the aforementioned performance information storage unit in a performance information acquisition step, The output information acquisition unit performs an output information acquisition step in which it acquires output information regarding the rent of the target real estate property based on the performance information acquired in the performance information acquisition step, An information processing method comprising an output step in which the output unit outputs the output information.

13. A computer that can access a performance information storage unit that stores performance information including information about past real estate transactions or information based thereon, A property information acquisition unit that acquires property information related to the target real estate property, A performance information acquisition unit acquires performance information corresponding to the property information from the performance information storage unit, Based on the performance information acquired by the performance information acquisition unit, an output information acquisition unit acquires output information regarding the rent of the target real estate property, An output unit that outputs the aforementioned output information, and a program for causing it to function as such.

Citation Information

Patent Citations

  • Real estate value-estimating device and real estate property-evaluating method

    JP2009251986A