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KR-102962406-B1 - System and Method for mediating interior

KR102962406B1KR 102962406 B1KR102962406 B1KR 102962406B1KR-102962406-B1

Abstract

The present invention relates to an interior brokerage system and method using propensity analysis. One embodiment of the present invention comprises: a consumer terminal used by a consumer; an interior business operator terminal that transmits partner company registration data including at least one of interior concept data and portfolio of a partner company and/or an interior business operator; and a service providing device that provides an interior brokerage service. The service providing device comprises: a communication unit that communicates with the consumer terminal and/or the interior business operator terminal via a network; a propensity analysis unit that analyzes the consumer's interior propensity through a propensity analysis procedure; a bid management unit that allows and/or manages bids from matched partner companies by comparing the analyzed customer's interior propensity with the interior concept of a previously registered partner company; a quotation management unit that proceeds and/or manages construction consultations based on the selection of a construction company and quotations; and a contract management unit that proceeds and/or manages a contract between the consumer and the construction company.

Inventors

  • 최세현

Dates

Publication Date
20260507
Application Date
20221102

Claims (11)

  1. Consumer terminal used by consumers; An interior business terminal transmitting partner registration data including at least one of interior concept data and portfolio of a partner company and/or interior business operator, and bid registration data including at least one of a bid amount, construction period, quotation information, interior portfolio, and description to participate in a bid; and A service providing device that provides interior brokerage services; including, The above service providing device is, A communication unit that communicates with the consumer terminal and/or the interior business operator terminal via a network; A preference analysis unit that analyzes consumers' interior preferences through a preference analysis procedure; A bid management department that compares the analyzed customer's interior preferences with the interior concepts of registered partner companies to allow and/or manage bids from matched partner companies; Estimation Management Department that conducts and/or manages construction consultations based on contractor selection and quotations; and Contract Management Department that conducts and/or manages contracts between consumers and construction companies; Includes, The above propensity analysis unit is, A machine learning model is used to determine that a consumer's interior style corresponds to either the first or second interior style, wherein the classification criteria for each of the first and second interior styles are used as training data to set the first and second training labels to be used as classification criteria for the interior style in the machine learning model, and the machine learning model is trained by including additional data in the classification criteria for each of the first and second interior styles. The additional data above includes, Data corresponding to the boundary region between the first and second learning labels are included, The above boundary area is, It is analyzed as a boundary classification algorithm for minimizing loss during the training of the above machine learning model, and The aforementioned bid management department, Using bid registration data provided from the above interior business operator terminal, bids from partner companies are managed, and An interior brokerage system utilizing preference analysis, characterized by analyzing the portfolios of partner companies based on the consumer's interior concept to connect suitable construction and contractors.
  2. In paragraph 1, The above propensity analysis unit is, An interior brokerage system using propensity analysis, characterized by constructing an interior propensity model for each interior style, classifying consumer test answers received through a propensity analysis procedure into pre-set answer types, learning a propensity classification method based on the matching of the interior propensity model and the answer type using a machine learning model, and clustering and classifying the interior propensity model into multiple groups according to the propensity classification method.
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  4. In paragraph 1, The above-mentioned quotation management department is, An interior brokerage system utilizing preference analysis, characterized by automatically calculating real-time estimated quotes based on interior concepts and spaces by training an AI-based interior preference identification foundation with real data.
  5. In paragraph 1, The above-mentioned quotation management department is, An interior brokerage system utilizing preference analysis, characterized by recommending construction and/or products related to the consumer's interior preferences.
  6. In an interior brokerage method using tendency analysis of a service provider device that provides interior brokerage services, The above interior brokerage method is, (A) A step to identify the consumer's interior design preferences; (B) A step of conducting bids from partner companies corresponding to the consumer's requirement concept; (C) A stage of conducting construction consultations based on the estimate; and (D) Step of proceeding with the contract between the consumer and the supplier; Includes, In the above step (A), The propensity analysis unit of the above-mentioned service providing device determines that a consumer's interior propensity corresponds to either the first or second interior propensity using a machine learning model, wherein the classification criteria for each of the first and second interior propensities are used as training data to set first and second training labels to be used as interior propensity classification criteria in the machine learning model, and the machine learning model is trained by including additional data in the classification criteria for each of the first and second interior propensities. The additional data above includes, Data corresponding to the boundary region between the first and second learning labels are included, The above boundary area is, It is analyzed as a boundary classification algorithm for minimizing loss during the training of the above machine learning model, and In the above step (B), The bidding management unit of the above-mentioned service provider manages bids from partner companies using bid registration data received from the interior business operator terminal, and An interior brokerage method using propensity analysis, characterized by analyzing the portfolios of partner companies based on the consumer's interior concept to connect suitable construction and construction companies.
  7. In paragraph 6, In the above step (A), An interior brokerage method using propensity analysis, characterized by constructing an interior propensity model for each interior style, classifying the consumer's test answers received through a propensity analysis procedure into pre-set answer types, learning a propensity classification method based on the matching of the interior propensity model and the answer type using a machine learning model, and clustering and classifying the interior propensity model into multiple groups according to the propensity classification method.
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  9. In paragraph 6, In the above (C) step, An interior brokerage method using preference analysis, characterized by automatically calculating real-time estimated quotes based on interior concepts and spaces by training an artificial intelligence-based interior preference identification foundation with real data.
  10. In paragraph 6, In the above (C) step, An interior brokerage method using preference analysis, characterized by recommending construction and/or products related to the consumer's interior preferences.
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Description

System and Method for Mediating Interior Using Propensity Analysis The present invention relates to an interior brokerage system and method using propensity analysis. Interior design of a building involves designing aesthetic and rational indoor spaces. As an important architectural factor that influences the residents' lifestyle, physical health, and emotional satisfaction, it can be described as a total design task that not only improves the quality of life by satisfying the residents' needs but also creates new, harmonious, and functional spaces by considering the correlation between architecture, the city, and the environment. For example, interior design plays a crucial role in transforming the space within a building, allowing for changes to interior elements—such as rooms, living rooms, furniture, wallpaper, flooring, kitchen appliances, lighting fixtures, entrances, bathrooms, windows, and verandas—to suit the needs of consumers or users or to create harmony appropriate to the situation. Therefore, interior design involves the functional characteristics and design of indoor spaces It is advisable to carry out construction while considering the concept, as well as structure, circulation, cost, and time. Furthermore, with the increasing abundance of opportunities and media to experience diverse interior design examples, the importance of interior design and consumer interest are on the rise. FIG. 1 is a diagram showing the configuration of an interior brokerage system using tendency analysis according to one embodiment of the present invention. FIG. 2 is a diagram showing the configuration of a service providing device according to one embodiment of the present invention. Figures 3 to 5 are drawings showing examples of interior concepts. FIG. 6 is a flowchart illustrating an interior brokerage method using tendency analysis according to one embodiment of the present invention. The present invention will be described below with reference to the attached drawings. However, the present invention may be implemented in various different forms and is therefore not limited to the embodiments described herein. Furthermore, in order to clearly explain the present invention in the drawings, parts unrelated to the explanation have been omitted, and similar parts throughout the specification have been given similar reference numerals. Throughout the specification, when it is stated that a part is "connected (connected, in contact, combined)" with another part, this includes not only cases where they are "directly connected," but also cases where they are "indirectly connected" with other members interposed between them. Furthermore, when it is stated that a part "includes" a certain component, this means that, unless specifically stated otherwise, it does not exclude other components but rather allows for the inclusion of additional components. The terms used herein are merely for describing specific embodiments and are not intended to limit the invention. Singular expressions include plural expressions unless the context clearly indicates otherwise. In this specification, terms such as “comprising” or “having” are intended to indicate 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. FIG. 1 is a diagram showing the configuration of an interior brokerage system using tendency analysis according to one embodiment of the present invention, FIG. 2 is a diagram showing the configuration of a service providing device according to one embodiment of the present invention, and FIG. 3 to 5 are diagrams showing examples of interior concepts. Referring to FIGS. 1 to 5, an interior brokerage system (10) using propensity analysis according to one embodiment of the present invention may include a consumer terminal (100), an interior business operator terminal (200), and a service providing device (300). Here, the consumer terminal (100) and the interior business operator terminal (200) may be collectively referred to as user terminals (100, 200) according to their general functions. Accordingly, the general functions of the user terminals (100, 200) will be explained first, and the operation of each terminal will be explained in detail. The above user terminal (100, 200) is one or more electronic devices that operate according to user input and output a user interface, and various electronic devices such as mobile phones, smartphones, computers, laptop computers, digital broadcasting terminals, PDAs (Personal Digital Assistants), PMPs (Portable Multimedia Players), navigation systems, and virtual reality devices may be exemplified. In addition, the user terminal (100, 200) may be operated by installing a program or application to execute methods according to an embodiment of the pre