Lease management server for tenant acquisition marketing and operating method thereof

Abstract

A rental management operation server is initiated to perform marketing activities for supplying tenants. The rental management operation server includes a property information storage unit configured to store information about rental properties, a user information storage unit configured to store user information of users as potential tenants for rental properties, a user type determination unit configured to determine the type of users based on the user information, a recommended property determination unit configured to determine recommended rental properties suitable for each user according to the user type, and a recommended property advertising unit configured to advertise information about the determined recommended rental properties to each corresponding user. The user type determination unit determines whether each user is an individual preference type that prioritizes the user's personal preferences or an average preference type that prioritizes the preferences of average tenants, and the recommended property determination unit determines a rental property reflecting the user's individual preferences as a recommended property if the user is an individual preference type, and determines a rental property reflecting the preferences of average tenants as a recommended property if the user is an average preference type.

Description

Technology Field

[0001] Embodiments of the present invention relate to a rental management operation server that performs marketing activities for supplying tenants and a method of operating the same. Background Technology

[0002] With the recent increase in single-person households and the diversification of residential forms, the size of the rental market is continuously expanding, and consequently, the number of rental management companies providing professional rental management services is also steadily increasing. In line with these changes, there is a growing need for the role of rental management to expand beyond simple rent collection and complaint handling to include more active rental support functions. In particular, despite the growing importance of marketing activities to proactively attract tenants driven by landlords' demand to reduce vacancy risks and secure stable revenue, existing rental management systems often remain limited to a passive brokerage role in tenant management, failing to meet the actual needs of landlords. The problem to be solved

[0003] The objective of the present invention to solve the above-mentioned problems is to provide a rental management operation server that performs marketing activities for supplying tenants and a method for operating the same. means of solving the problem

[0004] A rental management operation server for performing marketing activities for supplying tenants according to embodiments of the present invention comprises: a property information storage unit configured to store information about rental properties; a user information storage unit configured to store user information of users as potential tenants for rental properties; a user type determination unit configured to determine the type of users based on the user information; a recommended property determination unit configured to determine a recommended rental property suitable for each user according to the type of users; and a recommended property advertising unit configured to advertise information about the determined recommended rental property to each corresponding user. The user type determination unit determines whether each user is an individual preference type that prioritizes the individual preferences of the user or an average preference type that prioritizes the preferences of the average tenant. The recommended property determination unit determines a rental property reflecting the individual preferences of the user as a recommended property if the user is an individual preference type, and determines a rental property reflecting the preferences of the average tenant as a recommended property if the user is an average preference type. Effects of the invention

[0005] According to embodiments of the present invention, the embodiments of the present invention have the effect of enabling marketing activities for supplying tenants. Brief explanation of the drawing

[0006] FIG. 1 shows a rental management system according to embodiments of the present invention. FIG. 2 shows a rental management operation server according to embodiments of the present invention. FIGS. 3 and 4 are drawings for explaining the operation of a user type determination unit according to embodiments of the present invention. FIG. 5 is a diagram showing the operation of a rental management operation server according to embodiments of the present invention. FIG. 6 is a diagram illustrating the operation of a recommended listing marketing unit according to embodiments of the present invention. FIG. 7 is a diagram illustrating the hardware configuration of a rental management operation server according to embodiments of the present invention. Specific details for implementing the invention

[0007] The present invention is susceptible to various modifications and may have various embodiments; specific embodiments are illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the invention to specific embodiments, and it should be understood that the invention includes all modifications, equivalents, and substitutions that fall within the spirit and scope of the invention. Similar reference numerals have been used for similar components in the description of each drawing.

[0008] Terms such as first, second, A, B, etc., may be used to describe various components, but said components should not be limited by said terms. These terms are used solely for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, the first component may be named the second component, and similarly, the second component may be named the first component. The term "and / or" includes a combination of a plurality of related described items or any of a plurality of related described items.

[0009] When it is stated that one component is "connected" or "connected" to another component, it should be understood that while it may be directly connected or connected to that other component, there may also be other components in between. On the other hand, when it is stated that one component is "directly connected" or "directly connected" to another component, it should be understood that there are no other components in between.

[0010] The terms used in this application are used merely to describe specific embodiments and are not intended to limit the invention. The singular expression includes the plural expression unless the context clearly indicates otherwise. In this application, terms such as "comprising" or "having" are intended to specify the presence of the features, numbers, steps, actions, components, parts, or combinations thereof described in the specification, and should be understood as not precluding the existence or addition of one or more other features, numbers, steps, actions, components, parts, or combinations thereof.

[0011] Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as generally understood by those skilled in the art to which the present invention pertains. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology, and should not be interpreted in an ideal or overly formal sense unless explicitly defined in this application.

[0012] The server referred to in the present invention may be constructed as a server performing at least one of the roles of a web server, a database server, and a mobile server; for example, it may display processed results on a webpage via an online network or receive necessary input data through a webpage. Here, a webpage should be understood as a page that includes text, images, sound, and video, as well as a page where software for performing specific tasks, such as a web application, is loaded. Furthermore, the server may perform at least one of the functions of a web application server, a web server, a mobile server, and a database server on a single physical server, or it may be composed of and operated by multiple physically separated servers. However, it is not limited thereto, and the type of server can be varied to a level obvious to a person skilled in the art.

[0014] Hereinafter, preferred embodiments according to the present invention will be described in detail with reference to the attached drawings.

[0015] FIG. 1 illustrates a rental management system according to embodiments of the present invention. Referring to FIG. 1, the rental management system (10) includes a rental management operation server (100) and provides services to a lessor (LL) and a lessee (USR) using the rental management operation server (100).

[0016] The rental management system (10) is entrusted with the management of rental properties by the lessor (LL) and provides overall rental management services for the rental properties. According to embodiments, the rental management system (10) provides various services for rental properties, such as tenant supply, move-in / contract management, move-out / vacancy management, facility supervision, and sale / purchase consulting. Furthermore, the rental management system (10) may also provide services such as proposals for the construction of rental properties in specific areas through market research on various regions even before the construction of rental properties. For example, the lessor (LL) can register their rental properties on the rental management server (100) and receive overall rental management services for the registered rental properties. At this time, the rental management server (100) may provide information related to services for rental properties to the lessor (LL)'s terminal.

[0017] Additionally, the rental management system (10) can recommend rental properties suitable for a user (USR), who is a potential tenant, and thereby facilitate the supply of tenants to the landlord (LL). That is, the rental management system (10) can improve the likelihood of concluding a rental contract by providing information about the rental properties to a user (USR) who is likely to be interested in the registered rental properties. For example, the rental management server (100) analyzes information related to the user (USR), determines a rental property among the registered rental properties that corresponds to the user's (USR's) preferences (i.e., a recommended property), and performs marketing that can advertise to the user (USR).

[0018] Accordingly, users (USR), or tenants, can easily identify rental properties that suit them, and landlords can quickly secure tenants.

[0019] FIG. 2 illustrates a rental management operation server according to embodiments of the present invention. Referring to FIG. 2, the rental management server (100) includes a property information storage unit (110), a user information storage unit (120), a user type determination unit (130), a recommended property determination unit (140), and a recommended property marketing unit (150).

[0020] The rental management operation server (100) is a device having computational processing capabilities, and may be, for example, a computing device (e.g., a server) including a processor and memory, but is not limited thereto.

[0021] The property information storage unit (110) stores information about rental properties managed or to be managed by the rental management server (100). According to embodiments, the property information storage unit (100) may store various information about rental properties, such as the location, age of the building, area, rent, deposit, and contract period.

[0022] The property information storage unit (110) may store information about a rental property transmitted from the lessor's (LL) terminal, or may store information about a rental property transmitted from a third party's terminal. In this case, the third party may be an employee managing the rental property.

[0023] The user information storage unit (120) can store user information of a user managed by the rental property management server (100). For example, the rental property management server (100) operates a membership service that issues accounts through a predetermined form and can store user information entered through the membership service.

[0024] Alternatively, the user information storage unit (120) may store information transmitted from the user regardless of the membership system.

[0025] Meanwhile, in the embodiments of the present invention, 'users' are people who wish to receive information about rental properties suitable for them, and may be potential or current tenants.

[0026] The user information storage unit (120) can store information regarding the user's residential address, income, household composition (whether it is a single-person household or a family unit), workplace address, location information, preferred rental properties, etc. This information can be input and stored from the user (i.e., the user's terminal).

[0027] Furthermore, the user information storage unit (120) may further store information about rental properties that the user has viewed (or confirmed) through the rental management server (100), that is, user activity records regarding provided rental properties. Here, user activity records may be generated and stored from the interaction between the rental management server (100) and the user's user terminal.

[0028] The user type determination unit (130) can determine the type of user. According to embodiments of the present invention, when a user seeks a rental property, the user type determination unit (130) can determine whether the user is an individual preference type that prioritizes the user's personal preferences or an average preference type that prioritizes the preferences of an average tenant.

[0029] According to embodiments, the user type determination unit (130) may determine the type of user based on the user's location information and the user's activity record regarding rental properties. This will be described later.

[0030] The recommended property determination unit (140) determines suitable recommended rental properties for each user. According to embodiments, the recommended property determination unit (140) may determine recommended properties in different ways depending on the type of user determined by the user type determination unit (130).

[0031] For example, if the user is of the individual preference type, the recommended listing determination unit (140) determines a rental listing that reflects the user's individual preference as a recommended listing. On the other hand, if the user is of the average preference type, it determines a rental listing that reflects the average tenant's preference as a recommended listing. In this case, the average tenant's preference may refer to the average of the preferences of tenants in the area where the rental listing the user is seeking is located.

[0032] According to embodiments of the present invention, rather than recommending preference-based rental properties indiscriminately without considering the users' tendencies or situations, more effective marketing can be performed by recommending preference-based rental properties according to the user's tendencies or by recommending average rental properties.

[0033] The recommended listing marketing department (150) can advertise the determined recommended listing to the user. According to embodiments, the recommended listing marketing department (150) can provide information about the determined estimated listing to each user.

[0034] FIGS. 3 and FIGS. 4 are drawings for explaining the operation of a user type determination unit according to embodiments of the present invention. Referring to FIG. 3, the user type determination unit (130) determines a user's living area (LR) and a target area (WR), calculates the proximity (SIM) between the living area (LR) and the target area (WR), and can determine the user's type based on the calculated proximity (SIM).

[0035] The User's Living Area (LR) refers to the area where the user's actual life takes place and can mean the user's residential area. In other words, the User's Living Area (LR) can refer to the area where the user spends most of their time during the day.

[0036] According to embodiments, the user type determining unit (130) may determine the user's living area (LR) based on the user's location information. For example, the user type determining unit (130) may determine, among the user's location information, an area corresponding to location information where the user stays for more than a predetermined standard time as the living area (LR), but is not limited thereto.

[0037] The user's target area (WR) is the area where the user primarily searches for rental properties and may refer to the area where the user aims to reside.

[0038] According to embodiments, the user type determining unit (130) may determine a target area (WR) based on the user's activity record regarding rental properties. For example, the user type determining unit (130) may determine a target area (WR) based on the area of ​​rental properties that the user has interacted with (viewed, indicated interest, etc.) among the rental properties provided by the rental management server (100). For example, the user type determining unit (130) may determine the area that is viewed most frequently among the areas to which the rental properties viewed by the user belong as the target area (WR).

[0039] In this case, the radii of the living area (LR) and the target area (WR) may be the same, but are not necessarily limited to this. For example, the radius of the target area (WR) may be larger than the radius of the living area (LR).

[0040] The user type determination unit (130) can calculate the proximity (SIM) between the living area (LR) and the target area (WR). The user type determination unit (130) can determine the proximity (SIM) based on the distance between the living area (LR) and the target area (WR), the similarity of transportation zones, and the difference in rent. Furthermore, the user type determination unit (130) determines the proximity (SIM) by further considering the number of visits by the user to the target area (WR).

[0041] In particular, according to embodiments of the present invention, when calculating the proximity (SIM), the distance between the living area (LR) and the target area (WR) is not considered only; furthermore, traffic characteristics and average rent of each of the living area (LR) and the target area (WR) are considered, thereby determining a proximity that considers overall living conditions rather than a simple distance-based proximity.

[0042] For example, referring to FIG. 4, the degree of proximity between the living area (LR) and the target area (WR) is a predetermined value (e.g., reference proximity (SIM) th In cases where the value is lower than )), the living area (LR) and the target area (WR) are similar regions from the user's perspective, and the user may be familiar with the target area (WR). In this case, selecting and providing rental properties in the target area (WR) that match the user's needs is more likely to meet the user's needs. For example, if a user is simply moving because their current lease has expired, they decide on a new rental property by considering various factors, such as their personal preferences. In other words, the user becomes more selective in choosing a rental property.

[0043] On the other hand, referring to FIG. 4, the degree of proximity between the living area (LR) and the target area (WR) is a predetermined value (e.g., reference proximity (SIM) th In cases where the user's living area (LR) and the target area (WR) are not similar, the user may not be familiar with the target area (WR). In this case, the user's needs may not be clearly defined, so it may be desirable to select and provide average rental properties from among the rental properties in the target area (WR). Alternatively, the user may have decided to relocate out of necessity because they had to consider moving despite being unfamiliar with the area, and in this case, it may be desirable to select and provide average rental properties to the user.

[0044] The user type determination unit (130) can calculate the proximity (SIM) according to the following mathematical formula 1.

[0045]

[0046] Here, SIM is the degree of proximity between the living area (LR) and the target area (WR), a and b are positive constants, D is the straight-line distance between the living area (LR) and the target area (WR), D0 is the reference distance for normalization, and T is the traffic zone similarity between the living area (LR) and the target area (WR). Referring to Equation 1, the degree of proximity can be calculated as high if the distance between the living area (LR) and the target area (WR) is close, or if the traffic zone between the living area (LR) and the target area (WR) is similar.

[0047] Here, transportation similarity may be a value determined in advance based on subway and bus routes belonging to the living area (LR) and the target area (WR).

[0048] According to the embodiments, the user type determination unit (130) can calculate the proximity (SIM) according to the following mathematical formula 2.

[0049]

[0050] Here, c is a positive constant, and R is the ratio of the average rent in the target area (WR) to the average rent in the living area (LR). That is, if the rent in the target area (WR) is relatively higher than the rent in the living area (LR), it is considered to be beyond the living area, so the proximity is calculated to be low. Preferably, c can be calculated as a positive number greater than or equal to 1. In other words, it may be designed so that the influence of rent is dominant when calculating the proximity.

[0051] Meanwhile, even if there is a significant difference in distance, transportation rights, rent, etc. between the two regions, if the user has visited the region in advance—that is, if the user has visited the region—it is desirable for the proximity between the two regions to be calculated as low. Taking this into consideration, the user type determination unit (130) can calculate the proximity (SIM) by additionally considering the visit density for the user's target region (WR).

[0052] For example, the user type determination unit (130) can calculate the proximity (SIM) according to the following mathematical formula 3.

[0053]

[0054] Here, VD is the visit density, and d and e are positive constants.

[0055] At this time, it is desirable that the visit density be calculated to be higher as the user visits the target area (WR) more frequently during a predetermined period, and as the visit interval is shorter. Accordingly, the user type determination unit (130) can calculate the user's visit density for the target area (WR) according to the following mathematical formula 4.

[0056]

[0057] Here, VD is the visit density for the user's target area (WR), k and m are positive constants, N is the number of visits by the user to the target area (WR) during a specified period, and t min represents the interval between each visit by the user. Here, whether the user has visited the target area (WR) can be determined through location information, and the visits can be counted, for example, on a daily basis.

[0058] As such, according to embodiments of the present invention, when calculating the proximity (SIM), the distance between the living area (LR) and the target area (WR) is not considered only; by further considering the traffic characteristics and average rent of each of the living area (LR) and the target area (WR), the proximity can be determined by considering overall living conditions rather than a simple distance-based proximity.

[0059] FIG. 5 is a diagram illustrating the operation of a rental management operation server according to embodiments of the present invention. Referring to FIG. 5, the rental management operation server (100) collects information about a user (S110). According to embodiments, the rental management operation server (100) collects user information related to the user, and, for example, may collect the user's location information and the user's activity record information.

[0060] The rental management operation server (100) determines each user's living area and target area (S120). According to embodiments, the rental management operation server (100) may determine the user's living area based on the user's location information and determine the target area based on the user's activity record regarding rental properties.

[0061] The rental management operation server (100) calculates the degree of proximity between the user's living area and the target area, and determines the user's type based on the degree of proximity (S130). According to embodiments, the rental management operation server (100) may determine the user's type by comparing the calculated degree of proximity with a predetermined standard value (e.g., standard degree of proximity). At this time, the user's type is either an individual preference type or an average preference type.

[0062] The rental management operation server (100) determines recommended listings for the user based on the user's type and advertises the recommended listings to the user (S140). According to embodiments, if the user is of the individual preference type, the rental management operation server (100) determines a rental listing that reflects the user's individual preference as a recommended listing. On the other hand, if the user is of the average preference type, the rental management operation server (100) determines a rental listing that reflects the average tenant's preference as a recommended listing.

[0063] FIG. 6 is a diagram illustrating the operation of a recommended listing marketing unit according to embodiments of the present invention. Referring to FIG. 6, the recommended listing marketing unit (150) can advertise recommended listings for each user to the user according to various methods.

[0064] According to embodiments, the recommended listing marketing department (150) can advertise the recommended listing to the user by a push method that provides information about the recommended listing directly to each user (or user terminal), such as a notification message or a pop-up message.

[0065] According to embodiments, the recommended listing marketing department (150) can advertise the recommended listing to the user indirectly by providing information about the recommended listing, such as by uploading or registering information about the recommended listing on a web page accessible to the user.

[0066] According to embodiments, the recommended listing marketing department (150) can advertise the recommended listing to the user by a banner method that registers information about the recommended listing on an application serviced by the rental management operation server (100).

[0067] FIG. 7 is a diagram illustrating the hardware configuration of a rental management operation server according to embodiments of the present invention. The electronic device (300) of FIG. 7 represents the rental management operation server (100) described with reference to FIG. 1 to 6.

[0068] Referring to FIG. 7, the electronic device (300) may include at least one processor (310) and a memory (320) that stores instructions that instruct the at least one processor (310) to perform at least one operation.

[0069] The above at least one operation is interpreted to include at least one of the operations of the aforementioned electronic device (300) or the operations of the functional part, and a specific description is omitted to prevent redundant explanation.

[0070] Here, at least one processor (310) may mean a central processing unit (CPU), a graphics processing unit (GPU), or a dedicated processor on which methods according to embodiments of the present invention are performed.

[0071] The memory (320) may be composed of at least one of a volatile storage medium and a non-volatile storage medium. For example, the memory (320) may be composed of at least one of a read-only memory (ROM) and a random access memory (RAM).

[0072] Additionally, the electronic device (300) may include a transceiver (330) that performs communication via a wireless network. Additionally, the electronic device (300) may further include an input interface device (340), an output interface device (350), a storage device (360, which may be referred to interchangeably with internal storage), etc. Each component included in the electronic device (300) may be connected by a bus (370) to communicate with one another.

[0073] The methods according to the present invention may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc., either alone or in combination. The program instructions recorded on the computer-readable medium may be those specifically designed and configured for the present invention, or they may be those known and available to those skilled in the art of computer software.

[0074] Examples of computer-readable media may include hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, and flash memory. Examples of program instructions may include machine code, such as that generated by a compiler, as well as high-level language code that can be executed by a computer using an interpreter, etc. The aforementioned hardware devices may be configured to operate as at least one software module to perform the operation of the present invention, and vice versa.

[0075] In addition, the above-described method or device may be implemented by combining all or part of its configuration or function, or by implementing it separately.

[0076] Although the present invention has been described above with reference to preferred embodiments, those skilled in the art will understand that various modifications and changes can be made to the invention without departing from the spirit and scope of the invention as described in the following claims.

Claims

Claim 1 A rental management operation server for performing marketing activities for supplying tenants, comprising: a property information storage unit configured to store information about rental properties; a user information storage unit configured to store user information of users as potential tenants for said rental properties; a user type determination unit configured to determine the type of users based on the user information; and a recommended property determination unit configured to determine a recommended rental property suitable for each user according to the type of user. and includes a recommended property advertising unit configured to advertise information regarding the recommended rental properties determined above to each corresponding user, wherein the user type determining unit determines whether each user is an individual preference type that prioritizes the user's personal preferences or an average preference type that prioritizes the preferences of average tenants, and the recommended property determining unit determines a rental property reflecting the user's individual preferences as a recommended property if the user is an individual preference type, and determines a rental property reflecting the preferences of average tenants as a recommended property if the user is an average preference type, and the user type determining unit determines, for each user, a living area where the user's actual life takes place and a target area where the user aims to reside, and determines the type of the user based on the degree of proximity between the living area and the target area, and determines the degree of proximity based on the distance between the living area and the target area, similarity of transportation zones, and difference in rent, and additionally considers the visit density of the users to the target area to determine the degree of proximity according to the following mathematical formula 1, [Mathematical Formula 1] (In the above mathematical formula 1, SIM is the proximity between the living area (LR) and the target area (WR), a and b are positive constants, D is the straight-line distance between the living area (LR) and the target area (WR), D0 is the reference distance for normalization, T is the traffic zone similarity between the living area (LR) and the target area (WR), c is a positive constant, R is the ratio of the average rent of the target area (WR) to the average rent of the living area (LR), VD is the visit density, and d and e are positive constants) The above visit density is determined using the number of times the user visited the target area and the time interval, in a rental management operation server. Claim 2 delete Claim 3 delete

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