Artificial intelligence-based customer-customized knowledge industry center specialized real estate care platform system

Abstract

The present invention relates to an AI-based customer-customized knowledge industry center specialized real estate care platform system capable of providing customized solutions based on AI that reflect customer needs for knowledge industry centers requiring unique dual aspects of public and commercial aspects. The present invention comprises: an AI-based customer-customized knowledge industry center real estate care platform server (100) that provides customized solutions reflecting needs corresponding to data input from customer terminals (200) of tenant companies intending to move into a knowledge industry center as owner-occupiers or non-tenant companies owning real estate in the knowledge industry center, and expert terminals (300) of experts acting on behalf of customers regarding the knowledge industry center, through data analysis and processing using AI on data stored in a database (130) in which all interests, issues, and current matters related to real estate information of the operating committee, tenant companies, real estate agents, and the general public within the knowledge industry center, as well as the strengths and weaknesses of each knowledge industry center, are collected as big data regarding the knowledge industry center; and customer terminals (200) of tenant companies in the form of owner-occupiers or tenant companies and non-tenant companies (landlords) that meet the qualification requirements for the knowledge industry center. The present invention provides an artificial intelligence-based customer-customized knowledge industry center professional real estate care platform system characterized by comprising: expert terminals (300) for experts providing services to tenant companies (owners or tenants) and non-tenant companies (lessors) that meet the qualification requirements of the knowledge industry center; and a communication network (400) providing communication between the customer terminal (200), the expert terminal (300), and the artificial intelligence-based customer-customized knowledge industry center real estate care platform server (100) that provides the customized solution.

Description

Technology Field

[0001] The present invention relates to a real estate care platform system for knowledge industry centers, and more specifically, to an AI-based customer-tailored specialized real estate care platform system for knowledge industry centers that can provide customized solutions reflecting customer needs using artificial intelligence, based on data generated by reflecting the unique dual aspects of public and commercial aspects of knowledge industry centers. Background Technology

[0003] A Knowledge Industry Center refers to an apartment-type building located in downtown areas or new town districts that houses factories and offices of small and medium-sized enterprises (SMEs) or mid-sized companies. Until 2009, it was called a so-called "apartment-type factory," but the name was changed to Knowledge Industry Center following a legal amendment in 2009. While office buildings cannot install production facilities internally, Knowledge Industry Centers can.

[0005] Pursuant to a Presidential Decree, a Knowledge Industry Center is defined as a multi-story (three stories or more) collective building where entities engaged in manufacturing, knowledge industries, and information and communication industries, along with support facilities (at least six companies), can coexist within the same building. (Source: Act on the Promotion of Industrial Agglomeration and Factory Establishment (abbreviated as Industrial Agglomeration Act))

[0006] Knowledge industry centers are primarily built within residential districts. They also receive government support because they have the advantage of requiring less space compared to traditional factories.

[0007] In addition to the above, knowledge industry centers include financial firms such as banks, securities companies, and insurance companies, simple restaurants, integrated dormitories, exercise facilities such as gyms, and transportation information facilities. Therefore, in the case of large-scale knowledge industry centers consisting of multiple buildings, one building is often constructed with a structure similar to an officetel so that it can be used as a dormitory or general commercial facility.

[0008] Local governments, the central government, and public institutions prefer knowledge industry centers because they can develop idle vacant land into such centers. This is because, while general factories must be located in industrial zones under urban planning, knowledge industry centers can be built in Class 3 general residential zones or semi-residential zones. Therefore, when developing new cities and housing districts, they do not build 100% of the space into apartments but leave a portion aside to construct knowledge industry centers under the pretext of "expanding self-sufficiency functions."

[0009] Local governments in the metropolitan area, in particular, prefer this. This is because the metropolitan area is a densely populated zone, which restricts the establishment of industrial districts and makes it difficult to build general industrial complexes. The surge in knowledge industry centers in the metropolitan area following the amendment of the law during the Lee Myung-bak administration, which allowed them to be built in general residential areas, was due to this reason and was effectively part of the deregulation of the metropolitan area.

[0010] In industrial complexes like Pangyo Techno Valley, where knowledge industry centers have been established on a large scale, companies seeking to move in even engage in fierce competition to attract them. Conventional factories are often pushed to the outskirts of cities due to NIMBYism from local residents, resulting in locations with inconvenient transportation. In contrast, knowledge industry centers tend to be located primarily in urban areas or at least in places with convenient transportation. Furthermore, since knowledge industry centers allow for the co-location of some commercial facilities, they have the effect of consolidating the living areas of employees. For this reason, they are more popular among companies compared to general factories.

[0011] Busan Centum City, where large-scale knowledge industry centers have been built—almost uniquely outside the metropolitan area—is highly favored by venture companies in Busan and its surrounding regions. Even after the completion of the Centum City project, there are strong calls from companies for the construction of additional knowledge industry centers in nearby areas. However, the downtown area of ​​Haeundae-gu is already too developed to find available land, so the Centum 2 District Urban High-Tech Industrial Complex, located in the station areas of Banyeo Agricultural Products Market Station and Seokdae Station, is being pursued instead.

[0012] These knowledge industry centers have various advantages,

[0013] Active government support

[0014] Korean companies are striving to use knowledge industry centers as their headquarters because there are no loan restrictions and they receive tax breaks upon occupancy. As a result, the installation of knowledge industry centers within industrial complexes has surged.

[0015] Optimal location

[0016] If located within a residential area served by a railway, most facilities are situated near a station; even if not, bus routes connecting to nearby stations are usually available. Unless the workplace is too far from home, it is safe to assume that reliance on private vehicles is rare, unlike in typical factories. Since they are often located adjacent to residential areas, moving into a residential neighborhood allows you to enjoy the benefits of living close to your workplace. In particular, because knowledge industry centers are frequently established in new cities, the presence of new city apartments adds to the convenience.

[0017] Various amenities

[0018] Since you can assume there is always a cafeteria, you can easily find affordable meals nearby. Unless it is an older apartment-style factory, restaurants and convenience stores of other types are also located there, expanding your options. Large-scale knowledge industry centers even feature stationery stores, accounting firms, clinics, and cafes! Some centers even operate dormitories, so if you have moved to Seoul alone from out of town, consider utilizing these facilities. Following the opening of the Megabox Yongin Techno Valley cinema in Yongin Techno Valley, the establishment of movie theaters as a type of "business support facility" in knowledge industry centers has begun in earnest. Companies highly prefer knowledge industry centers equipped with cinemas that allow employees to partially fulfill their leisure needs, as this enables them to distribute movie tickets as a welfare benefit.

[0019] * Pleasant working environment

[0020] Since cleaning is outsourced, the hallways and restrooms are well-maintained and clean. Also, because multiple elevators are operated by floor, they rarely become full.

[0021] Active exchange of information through the entry of various companies

[0022] One of the intangible advantages of knowledge industry centers. Ultimately, since a company is a space where people are active, it also serves as a venue for the exchange of various corporate information.

[0023] Building aesthetics

[0024] Knowledge industry centers built since 2018 tend to have significantly more attractive exteriors compared to those constructed before then. Since apartments are subject to many regulations, various architectural tests are being conducted in knowledge industry centers, which are subject to fewer regulations. The full-scale adoption of the glass palace (curtain wall) style has already become the standard, and buildings are emerging that are designed by world-renowned architects to the point where no one would know they are factories.

[0025] Reduction of inter-floor noise due to high ceilings

[0026] Knowledge industry centers have higher ceiling heights than apartments, offices, or officetels. With a minimum height of 3.5m and typically around 4 to 5m, they offer advantages such as minimal inter-floor noise.

[0028] However, current real estate brokerage technologies are primarily technologies capable of satisfying the needs of sellers, buyers, and brokers alike (Registered Patent No. 10-2091644); technologies that derive real estate information by processing a large amount of public data collected from a public data provision server to provide actual transaction information corresponding to an accurate address; technologies that predict the price of a property without transaction history by selecting a preset number of adjacent similar actual transaction data based on the derived real estate information and calculating an average or weighted average price; technologies that broker real estate by providing valid predicted prices or applying them to predict real estate prices by region or zone by training multiple machine learning algorithms using a preset ratio of data from the real estate information and verifying the remaining data excluding the preset ratio data from the real estate information (Published Patent No. 10-2021-0050726); or technologies that provide improved real estate information that recommends properties potentially suitable for real estate buyers without being limited to the information considered for property recommendations (Registered Patent There was a problem that specialized real estate care platform technology for knowledge industry centers had not yet been developed, and there was no technology to satisfy the needs of customers requesting knowledge industry centers, as the technology was mainly focused on providing a continuously upgraded list of recommended properties tailored to buyers by updating existing artificial intelligence classification algorithms using artificial intelligence algorithms (Registered Patent No. 10-2293329). Prior art literature

[0030] Patent Document 1: Republic of Korea Registered Patent No. 10-2091644 Patent Document 2: Republic of Korea Published Patent No. 10-2021-0050726 Patent Document 3: Republic of Korea Registered Patent No. 10-2293329 Patent Document 4: Republic of Korea Registered Patent No. 10-2432552 The problem to be solved

[0031] Therefore, the present invention aims to solve the problems of the prior art as described above. It provides an AI-based, customer-tailored specialized real estate care platform system for knowledge industry centers, which are multi-story collective buildings where manufacturing, knowledge industry, and information and communication industry companies and support facilities can coexist within the same building. This system collects all interests, issues, and current matters related to real estate information from the center's operating committee, tenants, real estate agents, and the general public, as well as the disadvantages of each knowledge industry center, as big data. Through data analysis and processing utilizing artificial intelligence, it offers customized solutions that reflect customer needs regarding the dual aspects of public and commercial nature required for knowledge industry centers. means of solving the problem

[0033] To achieve the above objective, the present invention provides an AI-based customer-customized knowledge industry center real estate care platform server (100) that provides a customized solution reflecting the needs of data input from customer terminals (200) of tenant companies intending to move into a knowledge industry center as owner-occupiers or non-tenant companies owning real estate in the knowledge industry center, and expert terminals (300) of experts acting on behalf of customers regarding the knowledge industry center, by utilizing AI for data analysis and processing stored in a database (130) that collects all interests, issues, and current matters related to real estate information of the knowledge industry center's operating committee, tenant companies, real estate agents, and the general public, as well as the advantages and disadvantages of each knowledge industry center; customer terminals (200) of tenant companies in the form of owner-occupiers or tenants and non-tenant companies (landlords) that meet the qualification requirements for the knowledge industry center; and expert terminals (300) of experts providing services to tenant companies in the form of owner-occupiers or tenants and non-tenant companies (landlords) that meet the qualification requirements for the knowledge industry center. The present invention provides an AI-based customer-customized knowledge industry center professional real estate care platform system characterized by being composed of: a communication network (400) that provides communication between the customer terminal (200), the expert terminal (300), and the AI-based customer-customized knowledge industry center real estate care platform server (100) that provides the customized solution.

[0034] Here, the AI-based customer-customized knowledge industry center specialized real estate care platform system is characterized by further including a manager PC (500) that manages the AI-based customer-customized knowledge industry center specialized real estate care platform server (100) by accessing the AI-based customer-customized knowledge industry center specialized real estate care platform server (100) via a PC as a terminal of a manager who manages the AI-based customer-customized knowledge industry center specialized real estate care platform server (100) and managing the input / output or updates of various data to be stored in the database (130).

[0035] And the big data is composed of customer data, public data, and CMA (Comparative Market Analysis) data, wherein the customer data includes lease information, move-in date, contract period, and main business type regarding the real estate property of the knowledge industry center, the public data includes actual transaction prices from the Ministry of Land, Infrastructure and Transport, corporate registration certificates, and geographic information regarding individual real estate properties of the knowledge industry center, and the CMA data includes past transaction history regarding individual real estate properties of the knowledge industry center, real estate market prices around the knowledge industry center, information on existing prop tech companies, presale information, and information provided by real estate agents.

[0037] Meanwhile, the information collected in the database (130) is characterized by including collection / registration information including information about the knowledge industry center (knowledge industry information), transaction information of the knowledge industry center, customer information, public information, corporate information and support information, and analysis / utilization information including customer classification, cooperation classification, utilization type, management function and care type information.

[0038] And the AI-based customer-customized knowledge industry center real estate care platform server (100) collects data as text data is entered through a pre-set form (Data sheet), and classifies the entered text data and stores it in the database (130). Effects of the invention

[0040] The present invention has the following effects.

[0041] First, by learning information that matches the requirements of customers intending to purchase or lease, artificial intelligence can recommend knowledge industry centers suitable for customer needs.

[0042] Second, by classifying customers using an unsupervised AI model based on the k-Means algorithm to extract customer clusters, analyzing the purchase / lease history of the extracted clusters to derive a list of interests based on cosine similarity, and then recommending the derived list of assets of interest to customers similar to the clusters, it is possible to recommend knowledge industry centers with high satisfaction.

[0043] Third, by securing an objective database to serve as a channel for providing necessary information to the Industrial Complex Corporation, it is possible to block channels for speculation by suppressing speculative forces in industrial complexes.

[0044] Fourth, tenant companies can also enhance their potential for sustainable growth. Brief explanation of the drawing

[0046] FIG. 1 is a drawing for explaining the concept of an artificial intelligence-based customer-customized knowledge industry center specialized real estate care platform according to the present invention. FIG. 2 is a diagram illustrating the configuration of an artificial intelligence-based customer-customized knowledge industry center specialized real estate care platform system according to the present invention. FIG. 3 is a diagram illustrating the concept of artificial intelligence development in an AI-based customer-customized knowledge industry center specialized real estate care platform system according to the present invention. FIG. 4 is a diagram showing an example of using a recommendation app in an artificial intelligence-based customer-customized knowledge industry center specialized real estate care platform system according to the present invention. FIG. 5 is a block diagram illustrating an AI-based customer-customized knowledge industry center specialized real estate care platform system. Specific details for implementing the invention

[0047] A preferred embodiment of the present invention will be described in detail with reference to the attached drawings as follows.

[0048] Furthermore, while the terms used in this invention have been selected to be as widely used as possible, there are also terms arbitrarily chosen by the applicant in specific cases. Since the meanings of these terms are described in detail in the relevant description of the invention, it should be noted that the invention should be understood based on the meaning of the terms rather than their mere names. Additionally, in describing the embodiments, explanations regarding technical content that is well known in the technical field to which this invention belongs and is not directly related to this invention are omitted. This is intended to convey the essence of the invention more clearly without obscuring it by omitting unnecessary explanations.

[0050] FIG. 1 is a drawing illustrating the concept of an artificial intelligence-based customer-customized knowledge industry center specialized real estate care platform according to the present invention.

[0051] The concept of an AI-based customer-tailored specialized real estate care platform for knowledge industry centers according to the present invention is illustrated in FIG. 1. Big data for AI-based customer-tailored specialized real estate care for knowledge industry centers is collected, and after data analysis and processing using artificial intelligence (AI) are performed and an integrated database is constructed, a platform is developed and provided to offer services according to the customer's desired field.

[0052] The present invention relates to an AI-based, customer-tailored specialized real estate care platform for knowledge industry centers. Specifically, regarding knowledge industry centers—which are multi-story collective buildings where companies in manufacturing, knowledge industries, and information and communication industries, along with support facilities, can coexist within the same structure—the concept of specialized real estate care is to provide solutions for all interests, issues, and current matters related to real estate information for the center's operating committee, tenants, licensed real estate agents, and the general public through the use of the platform developed by this invention.

[0054] Unlike existing PropTech companies that provide real estate services limited to apartments and land, this platform of the present invention aims to provide solutions that reflect the needs of customers with diverse interests by utilizing artificial intelligence (AI) to address the unique dual aspects of public and commercial interests.

[0055] For this purpose, big data from knowledge industry centers (Jisan) is collected including user (customer) data, public data, and CMA (Comparative Market Analysis) data. The collected data is processed through computation and curation (Digesting Data), and after data analysis and processing using artificial intelligence (AI) such as machine learning (ML) and deep learning (DL), it is designed to be processed in batches within a set time and delivered to a data reservoir (Database lake) (Batching Data).

[0056] Here, customer data includes lease information, move-in date, contract period, and main business sector; public data includes actual transaction prices from the Ministry of Land, Infrastructure and Transport for individual properties in knowledge industry centers, corporate registration certificates, and geographic information; and CMA data includes past transaction history for individual properties in knowledge industry centers, real estate market prices around knowledge industry centers, information on existing proptech companies, presale information, and information provided by real estate agents.

[0057] Through this, the platform of the present invention becomes capable of providing artificial intelligence (AI) recommendation and care services that reflect customer needs at every point where care is required during each stage of the lifecycle (search -> move-in -> residence -> relocation).

[0059] FIG. 2 is a drawing illustrating the overall configuration of the invention of an artificial intelligence-based customer-customized knowledge industry center specialized real estate care platform system according to the present invention.

[0060] The overall configuration of the artificial intelligence-based customer-customized knowledge industry center specialized real estate care platform system according to the present invention is as shown in FIG. 2, and the artificial intelligence (AI)-based customer-customized knowledge industry center specialized platform configured in the center can be configured as a server.

[0061] This AI-based, customer-tailored specialized platform for knowledge industry centers performs data analysis for machine learning, statistics, and AI curation, and stores the results in an integrated database.

[0062] The information collected in this integrated database includes collection / registration information and analysis / utilization information.

[0063] For reference, the collected / registered information includes information on knowledge industry centers (Jisan information), transaction information, customer information, public information, corporate information, and support information.

[0064] Jisan Information is information on knowledge industry centers in each region across the country.

[0065] Transaction information includes purchase / sale prices (address, area, transaction date, etc.), actual rental transaction prices (address, area, transaction date, etc.), and presale information (presale price, application information, etc.).

[0066] Customer information includes basic information such as name, membership type (customer type), and phone number; consultation history such as consultation date and questions / answers; transaction details such as sale / purchase and lease / rental; and historical information regarding consultations and actual transactions related to campaign history via text messages, emails, KakaoTalk, etc.

[0067] Public information includes information linked to land information, geographic information, and statistical information.

[0068] Corporate information includes basic information such as company name, address, industry, and phone number; information by location including building name and regional details; information by industry classification such as industrial classification and hashtags; and utilization information by transaction type such as sale, purchase, lease, and rental.

[0069] Support information includes building management information such as vacancy / lease management of knowledge industry centers, administration, legal matters (registration, etc.), taxation (acquisition / registration tax, bonds, brokerage fees, etc.), and resource sharing (rental information, idle facility resources, etc.).

[0070] In addition, the analysis / utilization information includes customer classification, partner classification, utilization type, management function, and care type information.

[0071] Customer classification is divided into seller, buyer, landlord, tenant, and occupant information.

[0072] The cooperation categories include information on real estate brokers, corporate real estate consulting, tenant representatives, and building management offices.

[0073] Usage types include actual transaction prices for industrial properties, actual rental transaction prices, recommendations for similar transaction cases, yield simulations, and purchase / sale simulation / recommendation information.

[0074] Management functions include customer management, consultation management, campaign management, history management, statistics management, and system management.

[0075] Care type information includes sale / purchase care, lease / rental care, move-in / move-out care (move-in notification, move-out notification, relevant laws / procedures, etc.), and move-in operation management care (monthly rent, management fees, etc.).

[0076] Meanwhile, the target customer types for the Knowledge Industry Center include tenant companies in the form of owner-occupiers or tenants that meet the eligibility requirements, as well as non-tenant companies (landlords).

[0077] Regarding these tenant companies (owners, tenants) and non-tenant companies (landlords), the AI-based customer-tailored specialized platform for knowledge industry centers collects data including membership registration of tenant companies (owners, tenants) and non-tenant companies (landlords), as well as data on the registration of building management offices and experts for each sale.

[0078] Furthermore, the areas of care desired by tenant companies (owners and tenants) and non-tenant companies (landlords) will likely include sales, leasing, renting, selling, purchasing, industrial property management, administration, legal matters, and taxation.

[0079] To this end, the AI-based customer-tailored specialized platform for knowledge industry centers matches experts who provide various services to knowledge industry center customers, thereby offering various care services.

[0080] These professionals include real estate brokers, real estate consultants, building managers, judicial scrivener / lawyers, tax accountants, resident representative council executives, and care information experts.

[0081] For reference, real estate brokers and consulting firms provide matching services related to selling / buying and leasing to Jisan customers.

[0082] The building manager provides matching services related to building management, such as maintenance and repairs, to Jisan customers.

[0083] Legal scrivener / lawyer is provided with specialized registration-related matching services for Jisan clients.

[0084] Tax accountants provide matching services related to taxes, such as acquisition, registration, and capital gains taxes, to Jisan clients.

[0085] The Residents' Representative Council (Executives) is provided with a resident group management matching service for Jisan customers.

[0086] Care information specialists provide matching services for local industrial center trend information, such as regional information, building blueprints, and actual transaction prices, to local industrial center customers.

[0088] FIG. 3 is a diagram illustrating the concept of artificial intelligence development in an AI-based customer-customized knowledge industry center specialized real estate care platform system according to the present invention, and FIG. 4 is a diagram showing an example of using a recommendation app in an AI-based customer-customized knowledge industry center specialized real estate care platform system according to the present invention.

[0089] The concept of artificial intelligence development in the AI-based customer-customized knowledge industry center specialized real estate care platform system according to the present invention is as shown in FIG. 3, and the AI ​​learns information on knowledge industry centers that matches the requirements of customers who intend to purchase or lease the knowledge industry center, and recommends the knowledge industry center to the customer.

[0090] At this time, regarding the needs of customers who wish to rent or purchase a knowledge industry center, a knowledge industry center is matched to meet requirements such as the size of the knowledge industry center to be rented or purchased, factory type / office type, heating method, surrounding facilities, transportation means, interior environment, building location (corner, window type direction), presence or absence of a veranda, building age, number of parking spaces, deposit / monthly rent management fee, distance from side roads, possible business types, freight delivery means, and broker, and multiple knowledge industry centers are recommended through artificial intelligence learning.

[0091] In this process, an unsupervised AI model utilizing the k-Means algorithm is used as the AI ​​learning method to classify customers and extract customer clusters. The purchase, lease, rental, sale, and purchase history of the extracted customer clusters is analyzed to identify similar knowledge industry centers based on these histories. A list of knowledge industry centers of interest is derived based on cosine similarity, and this list is then recommended to customers similar to those clusters.

[0092] In such cases, satisfaction with the recommended knowledge industry center increases, especially for new customers, and the likelihood of actual transactions also rises; furthermore, satisfaction with the recommendation increases as data accumulates.

[0094] Figure 4 is a diagram showing an example of using a recommendation app in an artificial intelligence-based customer-customized knowledge industry center specialized real estate care platform system according to the present invention.

[0095] For reference, in this invention, care is performed according to the lifecycle (search -> move-in -> residence -> relocation).

[0097] FIG. 5 is a block diagram illustrating an artificial intelligence-based customer-customized knowledge industry center specialized real estate care platform system according to the present invention, and FIG. 6 is a block diagram illustrating an example of a data analysis server shown in FIG. 5.

[0098] As shown in FIG. 5, the artificial intelligence-based customer-customized knowledge industry center specialized real estate care platform system according to the present invention is composed of an artificial intelligence-based customer-customized knowledge industry center specialized real estate care platform server (100), a plurality of customer terminals (200), a plurality of expert terminals (300), a communication network (400), and an administrator PC (500).

[0099] Here, the AI-based customer-customized knowledge industry center specialized real estate care platform server (100) collects big data regarding the knowledge industry center, which is a multi-story collective building, including interests, issues, current affairs, and the strengths and weaknesses of each knowledge industry center, such as real estate information of the operating committee, tenants, real estate agents, and the general public within the knowledge industry center. Through data analysis and processing using artificial intelligence, it provides a customized solution that reflects customer needs for knowledge industry centers that require a unique dual aspect of public and commercial aspects. It classifies customers using an unsupervised learning AI model utilizing the k-Means algorithm to extract customer clusters, analyzes the purchase / lease / rental / sale / purchase history status of the knowledge industry centers in the extracted customer clusters, searches for similar knowledge industry centers based on the purchase / lease / rental / sale / purchase history status of the customer clusters, derives a list of multiple knowledge industry centers of interest based on Cosine Similarity, and then recommends the derived list of knowledge industry centers of interest to customers similar to the clusters.

[0100] To this end, the AI-based customer-customized knowledge industry center real estate care platform server (100) performs data analysis functions for machine learning, statistics, and AI curation as shown in FIG. 2. The results of such machine learning, statistics, and data analysis for AI curation are stored in an integrated database (DB).

[0101] Multiple customer terminals (200) may be configured as one of a smartphone, a smart pad, or a PC depending on the communication means by which a customer (tenant company, non-tenant company, new customer, etc.) accesses the AI-based customer-customized knowledge industry center real estate care platform server (100), and multiple expert terminals (300) may be configured as one of a smartphone, a smart pad, a PC, or a server depending on the communication means by which an expert (real estate broker, consulting firm, judicial scrivener / lawyer, etc.) accesses the AI-based customer-customized knowledge industry center real estate care platform server (100).

[0102] Meanwhile, the communication network (400) does not need to be specifically limited to any communication network capable of wired and wireless communication and the internet.

[0103] The administrator PC (500) is a terminal of the administrator who manages the AI-based customer-customized knowledge industry center specialized real estate care platform server (100). It accesses the real estate care platform server (100) through the PC and manages the input / output or updates of various data that need to be stored in the database (130).

[0104] Meanwhile, as shown in FIG. 6, the AI-based customer-customized knowledge industry center real estate care platform server (100) is composed of a communication unit (110), a data collection unit (120), an integrated database (130), a customer care desired field information collection unit (140), a knowledge industry center tenant customer requirements collection unit (150), a machine learning unit (160), a statistics unit (170), an AI curation unit (180), and a control unit (190).

[0105] The communication unit (110) communicates between the platform server (100), multiple customer terminals (200), and multiple expert terminals (300) through the communication network (400).

[0106] The data collection unit (120) collects data including membership registration / expert registration. At this time, a pre-set form (data sheet) is provided to input text data such as name, membership type (customer type), and phone number, and the input text data is classified and stored in the integrated database (130) by the control unit (190).

[0107] The integrated database (130) may consist of a collection / registration information DB (131), an analysis / utilization information DB (132), and a wish / request DB (133).

[0108] For reference, the collected / registered information DB (131) stores information about the knowledge industry center (knowledge industry information), transaction information of the knowledge industry center, customer information, public information, corporate information and support information.

[0110] As explained above, Knowledge Industry Center Information refers to information on Knowledge Industry Centers by region nationwide; Transaction Information includes purchase / sale prices (address, area, transaction date, etc.), actual rental transaction prices (address, area, transaction date, etc.), and Presale Information (presale price, application information, etc.); Customer Information includes basic information such as name, membership type (customer type), and phone number; consultation history such as consultation date and Q&A; transaction details such as sale / purchase and lease / rental; and historical information regarding consultations and actual transactions related to campaign history via text messages, emails, and KakaoTalk. Public Information includes information linked to national land information, geographic information, and statistical information; Corporate Information includes basic information such as company name, address, industry, and phone number; information by Knowledge Industry Center including building name and regional information; information by industry including industrial classification and hashtags; and utilization information by transaction type such as sale / purchase / lease / rental. Support Information includes building management information such as vacancy / rental management of Knowledge Industry Centers, as well as administrative and legal matters (registration, etc.). This includes taxation (acquisition / registration tax, bonds, brokerage fees, etc.) and resource sharing (rental information, idle facility resources, etc.). This information is accessed from multiple customer terminals (200), multiple expert terminals (300), and an administrator PC (500) to the AI-based customer-customized knowledge industry center real estate care platform server (100), selectively collected according to the information through the data collection unit (120), classified by the control unit (190), and stored in the collection / registration information DB (131) of the database (130).

[0111] And the analysis / utilization information DB (132) stores customer classification, cooperation classification, utilization type, management function and care type information.

[0112] As explained above, customer classification is categorized into seller, buyer, landlord, tenant, and resident information; collaboration classification includes information on real estate brokers, corporate real estate consulting, resident representatives, and building management offices; utilization types include actual industrial property transaction prices, actual rental transaction prices, recommendations for similar transactions, yield simulations, and purchase / sale simulation / recommendation information; management functions include customer management, consultation management, campaign management, history management, statistics management, and system management; and care type information is stored including sale / purchase care, lease / rental care, move-in / move-out care (move-in notification, move-out notification, relevant laws / procedures, etc.), and resident operation management care (monthly rent, management fees, etc.). This information is also accessed from multiple customer terminals (200), multiple expert terminals (300), and an administrator PC (500) to the AI-based customer-customized knowledge industry center real estate care platform server (100), selectively collected according to the information through the data collection unit (120), classified by the control unit (190), and stored in the analysis / utilization information DB (132) of the database (130).

[0113] The Desired / Required DB (133) stores data for providing services according to the desired fields of customers, such as sale, lease, rental, purchase, management of knowledge industry centers, administration, legal and taxation, which are the desired fields of care for tenant companies (owners, tenants) and non-tenant companies (landlords), and data for recommending multiple knowledge industry centers by artificial intelligence learning information on knowledge industry centers that match the requirements of customers who want to buy / rent a knowledge industry center, such as the size of the knowledge industry center to be rented / purchased, factory type / office type, heating method, surrounding facilities, means of transportation, interior environment, building location (corner, window type direction), presence or absence of a veranda, building age, number of parking spaces, deposit / monthly rent management fee, distance from side roads, possible business types, freight delivery means, and broker. The data stored in the wish / request DB (133) is used to learn the wish / request by the treadmill unit (160), derive the wish / request, and extract a list of knowledge industry centers (Jisan) of interest to the customer.

[0114] The customer care desired field information collection unit (140) collects customer care desired field data stored in the desired / request DB (133) from customer terminals (200) or expert terminals (300) that are real estate broker terminals that provide real estate brokerage services to customers.

[0115] The knowledge industry center tenant customer requirements collection unit (150) collects customer requirements data for those wishing to move into the knowledge industry center from customer terminals (200) or expert terminals (300) that provide real estate brokerage services to customers.

[0116] The machine learning department (160) provides a customized solution that reflects the needs corresponding to the data input from a real estate agent terminal (300), which is a professional terminal that performs agency work for customers regarding the knowledge industry center, by analyzing and processing data using artificial intelligence on data from a database (130) that collects big data regarding all interests, issues, current affairs, and advantages and disadvantages of each knowledge industry center, including the operating committee, tenants, real estate agents, and the general public regarding real estate information for the knowledge industry center.

[0117] To this end, the machine learning unit (160) is composed of a knowledge industry center information learning unit (161) for customer purchase / lease requirements / matching to provide customized solutions for each customer, a customer cluster extraction and cluster target derivation unit (162) based on purchase / lease history, a cluster target knowledge industry center list derivation unit (163), and a care service derivation unit (164) for each lifecycle stage.

[0119] The knowledge industry center purchase / lease customer request / matching knowledge industry center information learning unit (161) learns knowledge industry center information for matching purchase or lease requested by a customer terminal (200) that intends to purchase / lease a knowledge industry center. That is, the knowledge industry center purchase / lease customer request / matching knowledge industry center information learning unit (161) learns to match a knowledge industry center that meets the requirements of the customer who intends to rent / purchase a knowledge industry center, such as area, factory type / office type, heating method, surrounding facilities, means of transportation, interior environment, building location (corner, window type direction), presence or absence of a veranda, building age, number of parking spaces, deposit / monthly rent management fee, distance from side roads, possible business types, cargo delivery means, and broker, according to the data stored in the database (130), and provides the relevant information to the customer terminal (200) by referring to the customer information stored in the database (130) according to the results of this learning.

[0120] The customer cluster extraction and cluster target derivation unit (162) based on purchase / lease history classifies customer information stored in the database (130) using, for example, an unsupervised learning artificial intelligence model utilizing the k-Means algorithm to extract customer clusters, analyzes the purchase / lease / rental / sale / purchase history status of the knowledge industry centers of the extracted customer clusters, searches for similar knowledge industry centers based on the purchase / lease / rental / sale / purchase history status of the customer clusters, and derives a list of knowledge industry centers of interest based on cosine similarity.

[0121] The group collection target list derivation unit (163) derives a list of group interest targets derived from the customer cluster extraction and purchase / rental history-based group collection target derivation unit (162) to be curated to the customer terminal (200).

[0123] The lifecycle stage care service derivation unit (164) is designed to provide AI recommendations and care services that reflect the needs of customers at every point when care is needed at a lifecycle stage, such as moving in, living, or moving. It also refers to the results of learning knowledge industry center information for matching customers who purchase or rent knowledge industry centers, which are learned in the knowledge industry center purchase / rental customer requirements / matching knowledge industry center information learning unit (161), and derives rental / sale listings for knowledge industry centers that meet the requirements of customers who purchase / rent knowledge industry centers at lifecycle stages such as moving in, living, or moving, including the area, factory type / office type, heating method, surrounding facilities, means of transportation, interior environment, building location (corner, window type direction), presence or absence of a veranda, building age, number of parking spaces, deposit / monthly rent management fee, distance from side roads, possible business types, cargo delivery means, and broker.

[0124] The statistics department (170) performs statistics on transaction information (purchase / sale price, actual rental transaction price, presale price, etc.) stored in the collection / registration information DB (131) of the database (130) to be used for information on utilization types (actual transaction price of knowledge industry center, actual rental transaction price, recommendation of similar transaction cases, rate of return simulation, purchase / sale simulation) of the analysis / utilization information DB (132).

[0125] The AI ​​curation unit (180) curates customized solutions for each customer based on information, targets, lists, and care service items learned or derived from the knowledge industry center purchase / lease customer requirements / matching knowledge industry center information learning unit (161), customer cluster extraction and cluster target derivation unit (162) based on purchase / lease history, cluster target knowledge industry center list derivation unit (163), and care service derivation unit (164) for each lifecycle stage, in order to provide customized solutions for each customer.

[0126] The control unit (190) controls the communication unit (110), the data collection unit (120), the integrated database (130), the customer care desired field information collection unit (140), the knowledge industry center tenant customer requirements collection unit (150), the machine learning unit (160), the statistics unit (170), and the AI ​​curation unit (180).

[0128] Although the present invention has been described with the examples above, the present invention is not necessarily limited to these examples and can be implemented with various modifications within the scope of the technical concept of the present invention. Accordingly, the examples disclosed in the present invention are intended to explain, not limit, the technical concept of the present invention, and the scope of the technical concept of the present invention is not limited by these examples. The scope of protection of the present invention shall be interpreted by the claims below, and all technical concepts within an equivalent scope shall be interpreted as being included within the scope of rights of the present invention. Explanation of the symbols

[0130] 100 : AI-based customer-tailored knowledge industry center real estate care platform server 110: Communications Unit 120: Data Collection Unit 130 : Integrated Database 131 : Collection / Registration Information DB 132 : Analysis / Utilization Information DB 133 : Desired / Required Items DB 140 : Customer Care Desired Field Information Collection Department 150 : Knowledge Industry Center Tenant Requirements Collection Department 160 : Machine Learning Department 161 : Knowledge Industry Center Buyer / Lessor Customer Requirements / Matching Knowledge Industry Center Information Learning Department 162: Customer Cluster Extraction and Derivation of Cluster Targets by Purchase / Lease History 163 : Derivation Section of List of Knowledge Industry Centers Targeted for Military Consolidation 164: Derivation of Care Services by Lifecycle Stage 170 : Statistics Department 180 : AI Curation Department 190 : Control unit 200 : Customer terminal 300 : Expert terminal 400 : Network 500 : Administrator PC

Claims

Claim 1 Regarding the knowledge industry center, an AI-based customer-customized knowledge industry center real estate care platform server (100) provides a customized solution that reflects the needs corresponding to the data input from customer terminals (200) of tenant companies intending to move into the knowledge industry center as owner-occupiers or non-tenant companies owning real estate in the knowledge industry center, and expert terminals (300) of experts acting on behalf of customers regarding the knowledge industry center, through data analysis and processing using artificial intelligence on data stored in a database (130) that collects all interests, issues, and current matters related to real estate information of the knowledge industry center operation committee, tenant companies, real estate agents, and the general public, as well as the advantages and disadvantages of each knowledge industry center; customer terminals (200) of tenant companies in the form of owner-occupiers or tenant companies (landlords) that meet the qualification requirements for the knowledge industry center and non-tenant companies (landlords); and expert terminals (300) of experts providing services to tenant companies in the form of owner-occupiers or tenant companies (landlords) that meet the qualification requirements for the knowledge industry center. The system includes a communication network (400) that provides communication between the customer terminal (200), the expert terminal (300), and the AI-based customer-customized knowledge industry center real estate care platform server (100) that provides the customized solution; wherein the big data consists of customer data, public data, and CMA (Comparative Market Analysis) data, wherein the customer data includes lease information, move-in date, contract period, and main business type regarding the knowledge industry center real estate property, the public data includes the Ministry of Land, Infrastructure and Transport's actual transaction price, corporate registration certificate, and geographic information regarding individual real estate properties of the knowledge industry center, and the CMA data includes past transaction history regarding individual real estate properties of the knowledge industry center, real estate market prices around the knowledge industry center, information on existing prop tech companies, presale information, and information provided by licensed real estate agents.The aforementioned big data consists of customer data, public data, and CMA (Comparative Market Analysis) data. The customer data includes lease information, move-in dates, contract periods, and primary business sectors regarding the real estate properties in the aforementioned Knowledge Industry Center. The public data includes actual transaction prices from the Ministry of Land, Infrastructure and Transport, corporate registration certificates, and geographic information for individual properties within the Knowledge Industry Center. The CMA data includes historical transaction records for individual properties, market prices of real estate surrounding the Knowledge Industry Center, information on existing PropTech companies, presale information, and information provided by licensed real estate agents. The big data includes a Desired / Required DB that stores data regarding the customer's desired care fields and requirements for moving into the Knowledge Industry Center. It derives a list of Knowledge Industry Centers of interest and recommends them to customers through customer clustering using the k-Means algorithm and similarity analysis using Cosine Similarity. It provides care services at each stage of the lifecycle—search, move-in, residence, and relocation—and matches customers with experts, including real estate agents, consulting firms, judicial assistants, lawyers, or tax accountants, as well as building managers and tenant representatives, to provide care services. An AI-based customer-customized knowledge industry center specialized real estate care platform system characterized by being configured to provide Claim 2 In claim 1, the AI-based customer-customized knowledge industry center specialized real estate care platform system is further configured to include a manager PC (500) that manages the input / output or update of various data to be stored in the database (130) by accessing the AI-based customer-customized knowledge industry center specialized real estate care platform server (100) via a PC as a terminal of a manager who manages the AI-based customer-customized knowledge industry center specialized real estate care platform server (100). Claim 3 In paragraph 2, the AI-based customer-customized knowledge industry center real estate care platform server (100) is configured to classify customer information stored in a database (130) using an unsupervised learning AI model utilizing the k-Means algorithm to extract customer clusters, analyze the purchase, lease, rental, sale, and purchase history status of the extracted customer clusters to search for similar knowledge industry centers, and derive a list of knowledge industry centers of interest based on Cosine Similarity. Claim 4 In paragraph 3, the information collected in the database (130) is characterized by including collection / registration information including information about the knowledge industry center (knowledge industry center information), transaction information of the knowledge industry center, customer information, public information, corporate information and support information, and analysis / utilization information including customer classification, cooperation classification, utilization type, management function and care type information, in an AI-based customer-customized knowledge industry center specialized real estate care platform system. Claim 5 In any one of paragraphs 1 to 4, the AI-based customer-customized knowledge industry center real estate care platform server (100) is configured to collect real estate information-related interests, issues, current matters, and information of each knowledge industry center from the operating committee, tenants, real estate agents, and the general public within the knowledge industry center as big data, store the collected data in a database (130), and then provide a customized solution that reflects customer needs through data analysis and processing using AI.

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