KR20230061302A - Apparatus, system, method and program for providing presale marketing support service - Google Patents

Abstract

According to an embodiment of the present invention, provided is a device for providing a pre-sale contract marketing supporting service, comprising: at least one processor; and a memory for storing instructions for instructing the at least one processor to perform at least one operation. The at least one operation may include the operations of: receiving a reservation request from a customer terminal; providing a customer information input request to the customer terminal; receiving customer information from the customer terminal; providing a time input request to the customer terminal; receiving time from the customer terminal; generating a reservation matched with the customer information and the time, and storing the reservation in a database; and providing reservation information including the customer information and the time to the customer terminal. Therefore, provided are a device, a system, a method and a program for providing a pre-sale contract marketing supporting service, wherein a reservation service for a house on a pre-sale contract can be provided.

Description

Sales marketing support service providing device, system, method and program {APPARATUS, SYSTEM, METHOD AND PROGRAM FOR PROVIDING PRESALE MARKETING SUPPORT SERVICE}

The present invention relates to a pre-sale marketing support service providing apparatus, system, method and program.

Unless otherwise indicated herein, material described in this section is not prior art to the claims in this application, and inclusion in this section is not an admission that it is prior art.

As real estate is spotlighted as a key asset, the demand for real estate for investment or actual residence is explosively increasing, and accordingly, the size of the pre-sale market is also explosively increasing.

The popularity of pre-sale is mainly determined by the condition and location of the property, but the pre-sale marketing also has a great influence on the popularity of the pre-sale.

Therefore, the importance of technology supporting pre-sale marketing is emerging.

An object of the present invention is to provide an apparatus, system, method, and program for providing a marketing support service for sale, capable of providing a reservation service for a house for sale.

Another object of the present invention is to provide an apparatus, system, method, and program for providing a sales marketing support service capable of providing a counseling service for a pre-sale housing.

Another object of the present invention is to provide a pre-sale marketing support service providing apparatus, system, method and program capable of providing a pre-sale counseling service to customers accompanying reservation customers.

Another object of the present invention is to provide a sales marketing support service providing apparatus, system, method and program capable of providing customer information and counseling history to a counselor.

Another object of the present invention is to provide a pre-sale marketing support service providing device, system, method and program capable of determining customers with a high contract possibility.

One aspect of the present invention for achieving the above object provides an apparatus for providing a pre-sale marketing support service.

In addition, the device, at least one processor (processor); and a memory for storing instructions instructing the at least one processor to perform at least one operation.

In addition, the at least one operation may include receiving a reservation request from a customer terminal; providing a customer information input request to the customer terminal; receiving customer information from the customer terminal; providing a time input request to the customer terminal; receiving time from the customer terminal; generating a reservation matched with the customer information and the time, and storing the reservation in a database; and providing reservation information including the customer information and the time to the customer terminal.

In addition, the at least one operation may include receiving the reservation information from the customer terminal; providing a health information input request to the customer terminal when the reservation matching the reservation information is retrieved from the database; receiving health information from the customer terminal; receiving a consultation request including the customer information from the customer terminal; The consultation order of the consultation request is determined in the order in which the consultation request is received, and the consultation history matching the customer information is retrieved from the database, and the customer information, the consultation order, and the consultation history matched with the creating a consultation and storing it in the database; providing first consultation information including the customer information and the consultation sequence to the customer terminal; providing second counseling information including the customer information, the counseling order, and the counseling history to a counselor terminal; receiving a request for sending a counseling notification including the customer information from the counselor terminal; and providing a counseling notification including counselor information and the counseling order to the customer terminal that matches the customer information.

In addition, the at least one operation may include an operation of searching the database for sales information matched with real estate for sale, and determining a first recommendation degree matched with the customer terminal using the sales information and the customer information; searching for community information matching the real estate for sale in the database, and determining a second recommendation degree matched with the customer terminal using the community information and the customer information; searching the database for concierge information matched with the real estate offering, and determining a third recommendation degree matched with the customer terminal using the concierge information and the customer information; determining a matching degree matched with the customer terminal using the first recommendation degree, the second recommendation degree, and the third recommendation degree; and determining, as a recommended customer terminal, the customer terminal having the matching degree greater than a preset reference matching degree.

The determining of the first recommendation degree may include generating a product vector using a first equilibrium, location, shape, and first price included in the sale information; inputting the product vector as an input value of the first artificial neural network learned in advance, and obtaining a plurality of checkpoints corresponding to the product vector from the first artificial neural network; A family member vector is generated using the sex and age of each of the family members included in the customer information, and a propensity matched with the customer terminal and stored in the database and a second equilibrium and a second amount included in the customer information are used. to create a customer vector; generating a checkpoint vector using each of the checkpoints; inputting the family member vector, the customer vector, and the checkpoint vector as input values to a pre-learned second artificial neural network, and acquiring a degree of relevance corresponding to each of the checkpoints from the second artificial neural network; determining the checkpoints whose relevance is equal to or greater than a preset first reference relevance as positive checkpoints, and determining the checkpoints whose relevance is smaller than a preset second reference relevance as negative checkpoints; Provides the location, the positive checkpoint, and the negative checkpoint to a Geographic Information System (GIS) server, and from the GIS server, first geographic information matching the positive checkpoint and second geographic information matching the negative checkpoint obtaining information; and determining the first recommendation degree matched with the customer terminal by using the relevance of the positive checkpoint, the first geographical information, the relevance of the negative checkpoint, and the second geographical information. can do.

The determining of the second recommendation degree may include generating a community vector using the community information; and inputting the family member vector, the customer vector, and the community vector as input values into a previously learned third artificial neural network, and acquiring the second recommendation degree matched with the customer terminal from the third artificial neural network. can include

In addition, the operation of determining the third recommendation degree may include generating a conservage vector using the conservage information; and inputting the family member vector, the customer vector, and the concierge vector as input values to a previously learned fourth artificial neural network, and obtaining the third recommendation matched with the customer terminal from the fourth artificial neural network. Actions may be included.

In addition, according to another aspect of the present invention, an operating method for providing a pre-sale marketing support service is provided.

In addition, the operation method may include receiving a reservation request from a customer terminal; providing a customer information input request to the customer terminal; receiving customer information from the customer terminal; providing a time input request to the customer terminal; receiving time from the customer terminal; generating a reservation matched with the customer information and the time, and storing the reservation in a database; and providing reservation information including the customer information and the time to the customer terminal.

Also, according to another aspect of the present invention, there is provided a non-transitory recording medium on which a program for executing the operating method is recorded and which can be read by a computer.

In addition, according to another aspect of the present invention, a computer program recorded on a non-transitory recording medium is provided in order to execute the operation method in the apparatus for providing a pre-sale marketing support service.

In addition, according to another aspect of the present invention, a system for providing a pre-sale marketing support service is provided.

The system includes a customer terminal for providing a reservation request and customer information to the device; and a service providing device generating a reservation using the reservation request and the customer information.

In addition, the service providing device may include at least one processor; and a memory for storing instructions instructing the at least one processor to perform at least one operation.

In addition, the at least one operation may include receiving a reservation request from the customer terminal; providing a customer information input request to the customer terminal; receiving the customer information from the customer terminal; providing a time input request to the customer terminal; receiving time from the customer terminal; generating a reservation matched with the customer information and the time, and storing the reservation in a database; and providing reservation information including the customer information and the time to the customer terminal.

According to an embodiment of the present invention, sales marketing support services including reservation, consultation, and contract may be provided to customers.

According to another embodiment of the present invention, the counselor may perform counseling by referring to customer information and counseling history provided.

According to another embodiment of the present invention, a customer with a relatively high contract possibility is recommended, and pre-sale marketing may be performed by targeting the recommended customer.

1 is a schematic diagram of a system for providing a pre-sale marketing support service according to an embodiment.
FIG. 2 is a block diagram showing functional modules of configurations of the service providing apparatus according to FIG. 1 by way of example.
3 is a flowchart illustrating a process of creating a reservation by the service providing device according to FIG. 1 .
4 is a diagram illustrating a process of creating a reservation by the service providing device according to FIG. 1 by way of example.
5 is a diagram illustrating a process of creating a reservation by the service providing device according to FIG. 1 by way of example.
6 is a flowchart illustrating a process of creating a consultation by the service providing apparatus according to FIG. 1 .
FIG. 7 is a diagram illustrating a process of creating a consultation by the service providing apparatus of FIG. 1 by way of example.
FIG. 8 is a diagram illustrating a process of creating a consultation by the service providing apparatus of FIG. 1 by way of example.
9 is a diagram illustrating a process of creating a consultation by the service providing apparatus of FIG. 1 as an example.
FIG. 10 is a diagram illustrating a process of creating a consultation by the service providing apparatus of FIG. 1 by way of example.
FIG. 11 is a flowchart illustrating a process in which the service providing apparatus according to FIG. 1 creates a consultation for a companion of a reservation customer.
12 is a flowchart illustrating a process of determining recommended customers by the service providing apparatus according to FIG. 1 .
13 is a diagram showing the hardware configuration of the service providing apparatus according to FIG. 1 by way of example.
14 is a diagram illustrating a wireless communication system that can be applied in a communication process according to an embodiment of the present invention.
15 is a diagram illustrating a base station in the wireless communication system according to FIG. 14;
16 is a diagram illustrating a terminal in the wireless communication system according to FIG. 14;
17 is a diagram illustrating a communication interface in the wireless communication system according to FIG. 14;

Since the present invention can make various changes and have various embodiments, specific embodiments will be illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the present invention to specific embodiments, and should be understood to include all modifications, equivalents, and substitutes included in the spirit and scope of the present invention. Like reference numerals have been used for like elements throughout the description of each figure.

Terms such as first, second, A, and B may be used to describe various components, but the components should not be limited by the terms. These terms are only used for the purpose of distinguishing one component from another. For example, a first element may be termed a second element, and similarly, a second element may be termed a first element, without departing from the scope of the present invention. The terms and/or include a combination of a plurality of related recited items or any one of a plurality of related recited items.

It is understood that when an element is referred to as being "connected" or "connected" to another element, it may be directly connected or connected to the other element, but other elements may exist in the middle. It should be. On the other hand, when an element is referred to as “directly connected” or “directly connected” to another element, it should be understood that no other element exists in the middle.

Terms used in this application are only used to describe specific embodiments, and are not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly dictates otherwise. In this application, the terms "include" or "have" are intended to designate that there is a feature, number, step, operation, component, part, or combination thereof described in the specification, but one or more other features It should be understood that the presence or addition of numbers, steps, operations, components, parts, or combinations thereof is not precluded.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which the present invention belongs. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the related art, and unless explicitly defined in the present application, they should not be interpreted in an ideal or excessively formal meaning. don't

Hereinafter, a preferred embodiment according to the present invention will be described in detail with reference to the accompanying drawings.

1 is a schematic diagram of a system for providing a pre-sale marketing support service according to an embodiment.

Referring to FIG. 1 , a system for providing pre-sale marketing support services includes a service providing device 100 , a customer terminal 200 , an intermediary terminal 300 and a counselor terminal 400 . The service providing device 100, the customer terminal 200, the mediation terminal 300, and the counselor terminal 400 may be communicatively connected to each other. In an embodiment not shown, the service providing device 100, a plurality of customer terminals 200, mediation terminals 300, and counselor terminals 400 may be communicatively connected to each other.

The customer terminal 200 is a terminal of a customer who intends to purchase real estate through a pre-sale marketing support service, and provides customer information to the service providing device 100 . In one embodiment, the customer information may include the age and gender of each family member, equilibrium and price.

In addition, the brokerage terminal 200 is a terminal of a broker who intends to arrange a customer who wants to purchase a real estate through a pre-sale marketing support service, and recommends it to the service providing device 100 so that information on the real estate being sold is provided to the customer who wants to recommend it. Provide the information of the customer you want to do.

In addition, the counselor terminal 400 is a terminal of a counselor who conducts counseling with customers through a pre-sale marketing support service, and receives a counseling schedule and information of a customer who created the counseling schedule from the service providing device 100 . In addition, the counselor terminal 400 may provide the service providing device 100 with the customer's propensity input from the counselor.

For example, the customer terminal 200, the mediation terminal 300, and the counselor terminal 400 may include a communicable desktop computer, a laptop computer, a notebook, a smart phone, Tablet PC, mobile phone, smart watch, smart glass, e-book reader, PMP (portable multimedia player), portable game console, navigation device, digital Digital camera, digital multimedia broadcasting (DMB) player, digital audio recorder, digital audio player, digital video recorder, digital video player, It may be a PDA (Personal Digital Assistant) or the like.

The service providing device 100 provides a pre-sale marketing support service to the customer terminal 200 , the intermediary terminal 300 and the counselor terminal 400 .

FIG. 2 is a block diagram showing functional modules of configurations of the service providing apparatus according to FIG. 1 by way of example.

Referring to FIG. 2, the service providing device 100 includes a model house providing unit 101, a survey management unit 102, a non-face-to-face consultation management unit 103, a face-to-face consultation management unit 104, a contract management unit 105, and It includes a recommendation customer determination unit 106.

The model house provider 101 provides the customer terminal 200 with at least one of a 2-dimensional image and a 3-dimensional image of real estate being sold to the customer terminal 200 . In one embodiment, the model house providing unit 101 provides a user interface capable of displaying at least one of a 2D image and a 3D image of real estate being sold to the customer terminal 200 .

The survey management unit 102 receives a survey request from the customer terminal 200 and provides a survey including at least one item to the customer terminal 200 to the customer terminal 200 . The survey manager 102 provides the customer terminal 200 with a user interface for inputting an answer to at least one question included in the survey. In one embodiment, the customer terminal 200 may recognize a QR code including the address of the service providing device 100 and provide a survey request to the address of the service providing device 100 .

The non-face-to-face consultation management unit 103 provides a chatbot consultation service to the customer terminal 200 .

In addition, the non-face-to-face counseling management unit 103 provides a chat counseling service to the customer terminal 200 and the counselor terminal 400 .

In addition, the non-face-to-face counseling management unit 103 provides a telephone counseling service to the customer terminal 200 and the counselor terminal 400 .

FIG. 3 is a flowchart illustrating a process of creating a reservation by the service providing apparatus 100 according to FIG. 1 .

First, the face-to-face consultation management unit 104 receives a reservation request (S110) from the customer terminal 200 (S110). In one embodiment, the customer terminal 200 may recognize a QR code for the purpose of making a reservation and transmit a reservation request to the address of the service providing device 100 included in the QR code.

In addition, when receiving a reservation request from the customer terminal 200, the face-to-face consultation management unit 104 provides a customer information input request (S120) to the customer terminal 200 (S120).

In one embodiment, the face-to-face counseling manager 104 may provide a user interface for inputting customer information to the customer terminal 200 . In one embodiment, the customer information may include the customer's name, phone number, age and gender of each family member, balance, price, and the like.

In addition, the face-to-face consultation management unit 104 receives customer information from the customer terminal 200 (S130).

In addition, the face-to-face consultation manager 104 provides a time input request to the customer terminal 200 (S140) and receives the time from the customer terminal 200 (S150).

In one embodiment, the face-to-face counseling manager 104 may provide a user interface for inputting time to the customer terminal 200 .

In addition, the face-to-face counseling manager 104 creates a reservation using the customer information and time received from the customer terminal 200 (S160).

In one embodiment, the face-to-face consultation management unit 104 matches customer information and time and stores them in a database.

In addition, reservation information including customer information and time is provided to the customer terminal 200 (S170).

4 and 5 are diagrams illustrating a process of creating a reservation by the service providing apparatus 100 according to FIG. 1 by way of example.

The face-to-face consultation management unit 104 receives a reservation request from the customer terminal 200 recognizing the QR code, and creates a reservation using customer information and time additionally received from the customer terminal 200. In one embodiment, the reservation information may include a QR code including customer information and time.

In one embodiment, the face-to-face counseling management unit 104 may provide a survey including at least one item to the customer terminal 200 . In one embodiment, the face-to-face counseling management unit 104 may provide a user interface for inputting correct answers to questions to the customer terminal 200 . In one embodiment, the questions included in the survey may be questions related to customer information.

The face-to-face counseling management unit 104 provides a user interface for inputting a desired visit time to the customer terminal 200 . In one embodiment, the customer terminal 200 may receive a visit date and time including a visit time from a user through a user interface. The database stores the number of people that can be reserved for each visit date and time, and the face-to-face counseling management unit 104 provides the number of people that can be reserved for each visit date and time to the customer terminal 200 .

The face-to-face counseling management unit 104 provides a user interface capable of correcting the time provided by the customer terminal 200 to the customer terminal 200 .

The face-to-face counseling management unit 104 matches new reservations with customer information and time, stores them in a database, and provides a QR code including information about customer information and time to the customer terminal 200 .

6 is a flowchart illustrating a process of creating a consultation by the service providing apparatus 100 according to FIG. 1 .

First, the face-to-face consultation manager 104 receives reservation information from the customer terminal 200 (S210). In one embodiment, a QR code including reservation information is displayed on the customer terminal 200, and a reader located in an offline counseling center recognizes the QR code and provides the reservation information included in the QR code to the face-to-face consultation management unit 104. can do. In one embodiment, reservation information may include customer information and time. In one embodiment, the customer terminal 200 may provide reservation information to the face-to-face consultation management unit 104 through a reader.

When the reservation information is received, the face-to-face consultation management unit 104 searches the database to see if there is a reservation matching the reservation information (S220).

In addition, when a reservation matching the reservation information is retrieved, the face-to-face counseling management unit 104 provides a health information input request to the customer terminal 200 (S230).

In an embodiment, the face-to-face counseling management unit 104 may provide the customer terminal 200 with a user interface through which health information may be input. In an embodiment, the face-to-face counseling management unit 104 may provide the customer terminal 200 with a medical questionnaire including at least one health information item.

In addition, the face-to-face counseling management unit 104 receives health information from the customer terminal 200 (S240).

In addition, the face-to-face consultation management unit 104 receives a consultation request from the customer terminal 200 (S250). In one embodiment, a QR code including customer information is displayed on the customer terminal 200, and a reader located in an offline counseling center recognizes the QR code to send a consultation application including customer information included in the QR code to the face-to-face counseling management unit. (104). In one embodiment, the customer terminal 200 may provide a consultation request including customer information to the face-to-face consultation management unit 104 through a reader.

In addition, the face-to-face counseling management unit 104 generates counseling by using the counseling request (S260).

In one embodiment, the face-to-face counseling manager 104 determines the order of counseling requests in the order in which the counseling requests are received, and searches the database for a counseling history matched with customer information included in the counseling requests. In an embodiment, the counseling history may include counseling time, counselor identification information, counseling comments, and propensity.

In one embodiment, the face-to-face counseling management unit 104 may match generated counseling with customer information, counseling order, and counseling history and store them in a database.

In an embodiment not shown, the face-to-face consultation management unit 104 may simultaneously perform reservation confirmation and consultation creation.

In addition, the face-to-face counseling management unit 104 provides counseling information including customer information and counseling procedures to the customer terminal 200 (S265).

In addition, the face-to-face counseling manager 104 provides counseling information including customer information, counseling order, and counseling history to the counselor terminal 400 (S270).

In addition, the face-to-face counseling management unit 104 receives a request for sending a counseling notification from the counselor terminal 400 (S280).

In an embodiment, the face-to-face counseling management unit 104 may provide a user interface through which the counselor terminal 400 may select a waiting customer and input a request for sending a counseling notification. In one embodiment, the consultation notification sending request may include customer information.

In addition, the face-to-face counseling management unit 104 may provide a counseling notification including counselor information and a counseling order to the customer terminal 200 that matches the customer information included in the counseling notification sending request (S290).

In addition, the face-to-face counseling manager 104 may provide a counseling notification including counselor information and a counseling order on the dashboard, and display the counselor information and counseling order on the dashboard.

7 to 10 are diagrams illustrating a process of creating a consultation by the service providing apparatus 100 according to FIG. 1 by way of example.

FIG. 11 is a flowchart illustrating a process in which the service providing apparatus 100 according to FIG. 1 creates a consultation for a companion of a reservation customer.

First, the face-to-face consultation manager 104 receives a consultation request from the customer terminal 200 (S310). In an embodiment, the customer terminal 200 may recognize a QR code for the purpose of counseling and transmit a counseling request to the address of the service providing device 100 included in the QR code.

In addition, the face-to-face counseling management unit 104, upon receiving a consultation request from the customer terminal 200, provides a customer information input request (S120) to the customer terminal 200 (S320).

In one embodiment, the face-to-face counseling manager 104 may provide a user interface for inputting customer information to the customer terminal 200 . In one embodiment, the customer information may include the customer's name, phone number, age and gender of each family member, balance, price, and the like.

In addition, the face-to-face consultation management unit 104 receives customer information from the customer terminal 200 (S330).

In addition, the face-to-face counseling manager 104 provides a health information input request to the customer terminal 200 (S340).

In an embodiment, the face-to-face counseling management unit 104 may provide the customer terminal 200 with a user interface through which health information may be input. In an embodiment, the face-to-face counseling management unit 104 may provide the customer terminal 200 with a medical questionnaire including at least one health information item.

In addition, the face-to-face consultation management unit 104 creates a consultation using customer information (S360).

In an embodiment, the face-to-face counseling management unit 104 determines the order of counseling requests in the order in which the counseling requests are received, and searches the database for counseling records matching customer information. In an embodiment, the counseling history may include counseling time, counselor identification information, counseling comments, and propensity.

In one embodiment, the face-to-face counseling management unit 104 may match generated counseling with customer information, counseling order, and counseling history and store them in a database.

In addition, the face-to-face counseling management unit 104 provides counseling information including customer information and counseling procedures to the customer terminal 200 (S365).

In addition, the face-to-face counseling management unit 104 provides counseling information including customer information, counseling order, and counseling history to the counselor terminal 400 (S370).

In addition, the face-to-face counseling manager 104 receives a counseling notification sending request from the counselor terminal 400 (S380).

In an embodiment, the face-to-face counseling management unit 104 may provide a user interface through which the counselor terminal 400 may select a waiting customer and input a request for sending a counseling notification. In one embodiment, the consultation notification sending request may include customer information.

In addition, the face-to-face counseling management unit 104 may provide a counseling notification including counselor information and a counseling order to the customer terminal 200 that matches the customer information included in the counseling notification sending request (S390).

Referring back to FIG. 2 , the contract management unit 105 may provide a contract service and a pre-sale payment service to the customer terminal 200 .

FIG. 12 is a flowchart illustrating a process of determining recommended customers by the service providing apparatus 100 according to FIG. 1 .

First, the customer recommendation determination unit 106 matches sales information on unsold real estate products or real estate products for sale with real estate products for sale and stores them in a database (S410).

In one embodiment, the sales information may include equilibrium, location, type, and price.

In addition, the customer recommendation determination unit 106 determines the first recommendation degree of real estate for sale (S420).

The customer recommendation determination unit 106 may input a flat image matching a real estate listing as an input value to the first artificial neural network that has been learned in advance, and obtain a shape corresponding to the flat image from the first artificial neural network.

In an embodiment, the first artificial neural network may be trained to acquire a structure vector from a plane image and determine a shape corresponding to the plane image by using the acquired structure vector. The first artificial neural network may be generated through machine learning using a learning data set including learning data in which a shape is labeled on a flat image for learning. In one embodiment, a convolutional neural network (CNN) and a random forest may be used for machine learning of the first artificial neural network.

The customer recommendation determination unit 106 generates a product vector using the equilibrium, location, shape, and price, inputs the product vector as an input value to the second artificial neural network trained in advance, and corresponds to the product vector from the second artificial neural network. Acquire a plurality of checkpoints that

In an embodiment, the second artificial neural network may learn the correlation between the product vector and the checkpoints through machine learning using a learning dataset generated by labeling the product vector with checkpoints for learning. For example, as checkpoints for a property vector corresponding to Seoul, 20 pyeong, 2 bays, and 600 million, the number of subway stations located within a preset reference distance, the number of type 1 neighborhood living facilities located within a preset reference distance, The number of two types of neighborhood living facilities located within a preset reference distance, the number of elementary/middle school/high schools located within a preset reference distance, and the number of hate facilities located within a preset reference distance may be labeled. In one embodiment, the second artificial neural network may be an artificial neural network based on random forest, Xgboost, multiple regression analysis, or the like.

The customer recommendation determination unit 106 generates a family member vector using the sex and age of each family member, and creates a customer vector using the customer's equilibrium, price, and propensity.

In one embodiment, in the database, gender combinations and gender combination values of family members are matched and stored, and age combinations and age combination values of family members are matched and stored. The customer recommendation determiner 106 may generate a family member vector, which is a multidimensional vector having, as dimensional values, a gender combination value corresponding to a gender combination of family members and an age combination value corresponding to an age combination of family members. .

In one embodiment, a propensity and a propensity value are matched and stored in the database. The recommended customer determination unit 106 may generate a customer vector, which is a multi-dimensional vector having equilibrium, price, and propensity values of customers as respective dimension values.

In one embodiment, checkpoints and checkpoint values are matched and stored in the database. The customer recommendation determination unit 106 searches a database for checkpoint values corresponding to the acquired checkpoints, and generates a checkpoint vector, which is a one-dimensional vector having the checkpoint value as a dimension value.

The customer recommendation determination unit 106 inputs the family member vector, the customer vector, and the checkpoint vector as input values to the pre-learned third artificial neural network, and obtains a degree of relevance corresponding to the checkpoint from the third artificial neural network.

In one embodiment, the third artificial neural network may be generated through machine learning using a learning data set generated by labeling a degree of relevance to a family member vector for learning, a customer vector for learning, and a checkpoint vector for learning. In one embodiment, the third artificial neural network may be an artificial neural network based on random forest, Xgboost, multiple regression analysis, or the like.

The customer recommendation determining unit 106 determines a checkpoint having a relevance equal to or greater than a preset first reference relevance as a positive checkpoint, and determines a checkpoint having a relevance smaller than a preset second reference relevance as a negative checkpoint. do. In an embodiment, the first criterion relevance is set to a value greater than the second criterion relevance.

The customer recommendation determination unit 106 provides the location of the property for sale, a positive checkpoint, and a negative checkpoint to a Geographic Information System (GIS) server (not shown), and first geographic information matched with the positive checkpoint from the GIS server. and second geographic information matched with the negative checkpoint is acquired. For example, when the number of elementary schools included within a preset distance is a positive checkpoint, the GIS server provides first geographic information, which is the number of elementary schools included within a preset distance from the location of a real estate sale, to the recommender customer determination unit 106 do.

The customer recommendation determination unit 106 determines a first recommendation degree matched with the customer terminal 200 using the positive checkpoint relevance, the first geographic information, the negative checkpoint relevance, and the second geographic information. .

In an embodiment, the customer recommendation determiner 106 may determine a first value obtained by multiplying the first geographic information by the relevance of the first positive checkpoint and the first coefficient, and the relevance of the negative checkpoint to the second geographic information and a second value. A second value obtained by multiplying two coefficients may be calculated, and a value of ?A, which is the sum of the second values from the sum of the first values, may be determined as the first recommendation degree. In an embodiment, the second coefficient may be set to a greater value than the first coefficient.

In addition, the customer recommendation determination unit 106 determines the second recommendation degree of the customer terminal 200 (S430).

The customer recommendation determination unit 106 generates a community vector using community information of real estate for sale. The community information may include the number of parking spaces per household, whether a reading room is provided, whether a gym is equipped, whether a golf driving range is equipped, whether a swimming pool is equipped, whether a tennis court is equipped, and the like. For example, if the number of parking spaces per household is 2, a reading room is available, a gym is equipped, a golf driving range is not equipped, a swimming pool is not equipped, and a tennis court is not equipped, the community vectors are 2, 1, 1, 0, 0, 0, respectively. It has a dimension value of The number of dimensions of a community vector may vary according to the number of facilities that may be included in community information.

The customer recommendation determination unit 106 inputs the family member vector, the customer vector, and the community vector as input values to the previously learned fourth artificial neural network, and the second recommendation degree matched with the customer terminal 200 from the fourth artificial neural network. Acquire

In an embodiment, the fourth artificial neural network may be generated through machine learning using a learning data set generated by labeling a family member vector for learning, a customer vector for learning, and a community vector for learning with a recommendation degree. In an embodiment, the fourth artificial neural network may be an artificial neural network based on random forest, Xgboost, multiple regression analysis, or the like. The customer recommendation determination unit 106 determines a second recommendation degree that matches the recommendation degree obtained from the fourth artificial neural network with the customer terminal 200 .

In addition, the customer recommendation determination unit 106 determines the third recommendation level of the customer terminal 200 (S440).

The recommender customer determination unit 106 generates a conservage vector using concierge information of real estate for sale. Concierge information may include whether or not breakfast is available, whether postal delivery is available, whether a cleaning agent reservation is available, whether laundry reservation is available, whether valet parking is available, and the like. For example, if breakfast is provided, mail delivery is provided, cleaning service reservation is provided, laundry reservation is not provided, swimming pool is not provided, and valet parking is provided, the concierge vector is 1, 1, 1, 1, 0, 1, respectively. It has a dimension value of The number of dimensions of the conservage vector may vary according to the number of services that may be included in the conservage information.

The recommended customer determination unit 106 inputs the family member vector, the customer vector, and the conservancy vector as input values to the pre-learned fifth artificial neural network, and a third matching customer terminal 200 from the fifth artificial neural network. Get recommendations.

In an embodiment, the fifth artificial neural network may be generated through machine learning using a learning dataset generated by labeling a family member vector for learning, a customer vector for learning, and a concierge vector for learning with a recommendation degree. In an embodiment, the fifth artificial neural network may be an artificial neural network based on random forest, Xgboost, multiple regression analysis, or the like. The customer recommendation determination unit 106 determines the third recommendation degree matching the customer terminal 200 with the recommendation obtained from the fifth artificial neural network.

In addition, the customer recommendation determination unit 106 determines a matching degree using the first recommendation degree, the second recommendation degree, and the third recommendation degree (S450).

In one embodiment, the customer recommendation determination unit 106 receives the location conditions, community, and concierge rankings from the customer terminal 200, and ranks the location conditions. A first correction factor, a second correction factor, and a third correction factor are determined according to the ranking and the ranking of the concierge. The higher the rank, the relatively larger the correction coefficient is set.

In an embodiment, the customer recommendation determination unit 106 calculates a value obtained by multiplying the first recommendation degree by the first correction coefficient, a value obtained by multiplying the second recommendation degree by the second correction coefficient, and the third recommendation degree by the third correction coefficient. The average of the multiplied values may be determined as a degree of matching.

In addition, the customer recommendation determination unit 106 determines a customer whose matching degree is equal to or greater than a preset standard matching degree as a recommended customer (S460).

The recommended customer determining unit 106 may provide sales information of real estate products, community information, and concierge information to the customer terminal 200 matched with the recommended customer.

The recommended customer determination unit 106 may provide the customer information of the customer terminal 200 matched with the recommended customer, sale information of real estate products, community information, and concierge information to the brokerage terminal 300 .

FIG. 13 is a diagram showing a hardware configuration of components of the service providing apparatus 100 according to FIG. 1 by way of example.

Referring to FIG. 13 , the service providing apparatus 100 stores at least one processor 110 and instructions instructing the at least one processor 110 to perform at least one operation. It may include a memory (memory) to.

The at least one operation may include a function of the components 101 to 106 of the above-described service providing apparatus 100 or other functions or operation methods.

Here, the at least one processor 110 may mean a central processing unit (CPU), a graphics processing unit (GPU), or a dedicated processor for performing methods according to embodiments of the present invention. there is. Each of the memory 120 and the storage device 160 may include at least one of a volatile storage medium and a non-volatile storage medium.

For example, the memory 120 may be one of a read only memory (ROM) and a random access memory (RAM), and the storage device 160 may be a flash-memory. , a hard disk drive (HDD), a solid state drive (SSD), or various memory cards (eg, a micro SD card).

In addition, the service providing device 100 may include a transceiver 130 that performs communication through a wireless network. In addition, the service providing device 100 may further include an input interface device 140 , an output interface device 150 , a storage device 160 , and the like. Each component included in the service providing apparatus 100 may be connected by a bus 170 to communicate with each other.

For example, the service providing device 100 may include a communicable desktop computer, a laptop computer, a notebook, a smart phone, a tablet PC, and a mobile phone. phone), smart watch, smart glass, e-book reader, portable multimedia player (PMP), portable game device, navigation device, digital camera, digital multimedia broadcasting (DMB) ) player, digital audio recorder, digital audio player, digital video recorder, digital video player, personal digital assistant (PDA), and the like.

14 is a diagram illustrating a wireless communication system that can be applied in a communication process according to an embodiment of the present invention. 15 is a diagram illustrating a base station in the wireless communication system according to FIG. 14; 16 is a diagram illustrating a terminal in the wireless communication system according to FIG. 14; 17 is a diagram illustrating a communication interface in the wireless communication system according to FIG. 14;

Hereinafter, an example of a wireless communication network system supporting communication between the service providing device 100, the customer terminal 200, the mediation terminal 300, the counselor terminal 400, and the base station will be described in detail as an example, and such service The providing device 100, the mediation terminal 300, and the counselor terminal 400 may be interchangeably referred to as nodes or terminals for convenience of description. In the following description, a first node (device) may be an anchor/donor node or a centralized unit (CU) of an anchor/donor node, and a second node (device) may be an anchor/donor node or a distributed unit (DU) of a relay node can be

A base station (BS), terminal, server, etc. may be included as a part of a node using a radio channel in a wireless communication system.

A base station is a network infrastructure that provides wireless access to terminals. A base station has a coverage defined as a predetermined geographic area according to a distance over which a signal can be transmitted.

A base station, like a "base station," is referred to as "access point (AP)", "enodeb (eNB)", "5th generation (5G) node", "wireless point", " It may be referred to as a transmission/reception point (TRP).

A base station and a terminal may transmit and receive wireless signals in a millimeter wave (mmWave) band (eg, 28 GHz, 30 GHz, 38 GHz, and 60 GHz). At this time, the base station and the terminal may perform beamforming to improve channel gain. Beamforming may include transmit beamforming and receive beamforming. That is, the base station and the terminal can give directivity to the transmitted signal and the received signal. To this end, the base station and the terminal may select a serving beam through a beam search procedure or a beam management procedure. After that, communication may be performed using a resource carrying a serving beam and a resource having a quasi co-located relationship.

A first antenna port and a second antenna port are considered quasi-colocated if the large-scale properties of the channel through which the symbol of the first antenna port carries can be inferred from the channel through which the symbol of the second antenna port carries. The large-scale properties may include one or more of delay spread, Doppler spread, Doppler shift, average gain, average delay, and spatial Rx parameters.

Hereinafter, a base station in the wireless communication system described above is exemplified. The terms "-module", "-unit" or "-er" used below may mean a unit that processes at least one function or operation, and may include hardware, software, or both hardware and software. It can be implemented as a combination of

The base station may include a wireless communication interface, a backhaul communication interface, a storage unit and a controller.

The wireless communication interface performs a function of transmitting and receiving signals through a wireless channel. For example, the wireless communication interface may perform a conversion function between a baseband signal and a bit stream according to a physical layer standard of the system. For example, in data transmission, a radio communication interface encodes and modulates a transmitted bit stream to generate composite symbols. Also, upon receiving data, the wireless communication interface demodulates and decodes the baseband signal to reconstruct the received bit stream.

The wireless communication interface performs a function of transmitting and receiving signals through a wireless channel. For example, the wireless communication interface may perform a conversion function between a baseband signal and a bit stream according to a system physical layer standard. For example, in data transmission, a radio communication interface encodes and modulates a transmitted bit stream to generate composite symbols. Also, upon receiving data, the wireless communication interface demodulates and decodes the baseband signal to reconstruct the received bit stream.

In addition, the wireless communication interface up-converts a baseband signal into a radio frequency (RF) band signal, transmits the converted signal through an antenna, and down-converts the RF band signal received through the antenna into a baseband signal. To this end, the wireless communication interface includes a transmission filter, a reception filter, an amplifier, a mixer, an oscillator, a digital-to-analog converter (DAC), An analog-to-digital converter (ADC) and the like may be included. Also, the wireless communication interface may include a plurality of transmit/receive paths. Additionally, the wireless communication interface may include at least one antenna array comprising a plurality of antenna elements.

In terms of hardware, the wireless communication interface may include a digital unit and an analog unit, and the analog unit may include a plurality of sub-units according to operating power, operating frequency, and the like. A digital unit may be implemented with at least one processor (eg, a digital signal processor (DSP)).

The wireless communication interface transmits and receives signals as described above. Accordingly, a wireless communication interface may be referred to as a “transmitter”, “receiver” or “transceiver”. In addition, in the following description, transmission and reception performed through a wireless channel may be used as a meaning including processing performed in a wireless communication interface as described above.

The backhaul communication interface provides an interface for communicating with other nodes in the network. That is, the backhaul communication interface converts the bit stream transmitted to other nodes, for example, other access nodes, other base stations, upper nodes or core networks from base stations into physical signals, and the physical signals received from other nodes into bits. convert to stream

The storage unit stores data such as basic programs, applications, and setting information for operation of the base station. The storage unit may include volatile memory, non-volatile memory, or a combination of volatile and non-volatile memory.

The controller controls the overall operation of the base station. For example, the controller transmits and receives signals through a wireless communication interface or a backhaul communication interface. Also, the controller writes data to the storage unit and reads the recorded data. The controller can perform protocol stack functions required by communication standards. According to another implementation, a protocol stack may be included in a wireless communication interface. To this end, the controller may include at least one processor.

According to an embodiment, the controller may control the base station to perform an operation according to an embodiment of the present invention.

According to various embodiments, a donor node of a wireless communication system includes at least one processor, includes a transceiver operably coupled to the at least one processor, and includes a plurality of radio bearers for a terminal accessing the relay node. configured to transmit to a relay node a first message including first information related to the donor node about; receive a second message including second information related to the relay node regarding a plurality of radio bearers for the terminal from the relay node; Data for the terminal may be transmitted to the relay node. Data may be transmitted to the terminal through a plurality of radio bearers based on the first information and the second information.

According to various embodiments, a radio bearer among a plurality of radio bearers may integrate a plurality of radio bearers. the at least one processor is also configured to determine a radio bearer for a terminal accessing the relay node and multiple radio bearers aggregated by the radio bearer; Alternatively, a radio bearer for a UE accessing a relay node may be determined.

According to various embodiments, the first message may include one or more of: identification of a terminal accessing the relay node; display information indicating the type of terminal accessing the relay node; information about a radio bearer of a terminal accessing a relay node; information about a radio bearer transmitted by a terminal accessing a relay node; information about a tunnel established for a radio bearer between the donor node and the relay node; information about integrated multiple radio bearers; radio bearer mapping information; information about the address of the side of the donor node; information about the address of the relay node side; indication information corresponding to a radio bearer of a terminal accessing the relay node; indication information indicating the relay node to allocate a new address to a radio bearer for a terminal accessing the relay node; a list of address information that cannot be used by a relay node that transmits radio bearer data of a terminal accessing the relay node; and information related to security configuration.

According to various embodiments, the second message may include one or more of: identification of a terminal accessing the relay node; information about the radio bearer granted by the relay node; information about radio bearers not acknowledged by the relay node; information about radio bearers partially granted by the relay node; radio bearer mapping information; Configuration information of a terminal accessing the relay node created by the relay node; information about the address of the relay node side; and information related to security configuration.

According to various embodiments, the second message may further include information on integrated multiple radio bearers.

According to various embodiments, the donor node may include a central unit of the donor node, and the relay node may include a distribution unit of the donor node.

According to various embodiments, a relay node of a wireless communication system includes at least one processor, includes a transceiver operably coupled to the at least one processor, and provides a plurality of information from a donor node to a terminal accessing the relay node. configured to receive a first message including first information related to a donor node for a radio bearer of; transmit to the donor node a second message including second information related to the relay node for the plurality of radio bearers for the terminal; Data on the terminal may be received from the donor node. Data may be transmitted to the terminal through a plurality of radio bearers based on the first information and the second information.

According to various embodiments, a radio bearer among a plurality of radio bearers may integrate a plurality of radio bearers. the at least one processor is also configured to determine a radio bearer for a terminal accessing the relay node and multiple radio bearers aggregated by the radio bearer; Alternatively, multiple radio bearers integrated by radio bearer may be determined.

According to various embodiments, the first message may include one or more of: identification of a terminal accessing the relay node; display information indicating the type of terminal accessing the relay node; information about a radio bearer of a terminal accessing a relay node; information about a radio bearer transmitted by a terminal accessing a relay node; information about a tunnel established for a radio bearer between the donor node and the relay node; information about integrated multiple radio bearers; radio bearer mapping information; information about the address of the side of the donor node; information about the address of the relay node side; indication information corresponding to a radio bearer of a terminal accessing the relay node; indication information indicating the relay node to allocate a new address to a radio bearer for a terminal accessing the relay node; a list of address information that cannot be used by a relay node that transmits radio bearer data of a terminal accessing the relay node; and information related to security configuration.

According to various embodiments, the second message may include one or more of: identification of a terminal accessing the relay node; information about the radio bearer granted by the relay node; information about radio bearers not acknowledged by the relay node; information about radio bearers partially granted by the relay node; radio bearer mapping information; Configuration information of a terminal accessing the relay node created by the relay node; information about the address of the relay node side; and information related to security configuration.

According to various embodiments, the second message may further include information on integrated multiple radio bearers.

According to various embodiments, the donor node may include a central unit of the donor node, and the relay node may include a distribution unit of the donor node.

Hereinafter, components of a terminal in the wireless communication system described above are illustrated. Components of a terminal to be described below are components of a general-purpose terminal supported by a wireless communication system, and may be merged or integrated with components of a terminal according to the foregoing contents, and may overlap or conflict with the above drawings. It can be interpreted that the content described with reference takes precedence. The terms "-module", "-unit" or "-er" used below may mean a unit that processes at least one function.

The terminal includes a communication interface, a storage unit and a controller.

The communication interface performs a function of transmitting and receiving signals through a wireless channel. For example, the communication interface performs a conversion function between a baseband signal and a bit stream according to the physical layer standard of the system. For example, in data transmission, a communication interface encodes and modulates a transmission bit stream to generate composite symbols. Also, when receiving data, the communication interface demodulates and decodes the baseband signal to reconstruct the received bit stream. Further, the communication interface up-converts the baseband signal to an RF-band signal, transmits the converted signal through an antenna, and down-converts the RF-band signal received through the antenna into a baseband signal. For example, the communication interface includes a transmission filter, a reception filter, an amplifier, a mixer, an oscillator, and a digital-to-analog converter (DAC). , an analog-to-digital converter (ADC), and the like.

Also, the communication interface may include a plurality of transmit/receive paths. Additionally, the communication interface may include at least one antenna array comprising a plurality of antenna elements. On the hardware side, the wireless communication interface may include a digital circuit and an analog circuit (eg, a radio frequency integrated circuit (RFIC)). A digital circuit may be implemented with at least one processor (eg, DSP). A communication interface may include multiple RF chains. The communication interface may perform beamforming.

The communication interface transmits and receives signals as described above. Accordingly, a communication interface may be referred to as a “transmitter”, “receiver” or “transceiver”. In addition, in the following description, transmission and reception performed through a radio channel may be used as a meaning including processing performed in a communication interface as described above.

The storage unit stores data such as basic programs for operation of the terminal, applications, and setting information. The storage unit may include volatile memory, non-volatile memory, or a combination of volatile and non-volatile memory. In addition, the storage unit provides stored data according to the request of the controller.

The controller controls the overall operation of the terminal. For example, the controller sends and receives signals through a communication interface. Also, the controller writes data to the storage unit and reads the recorded data. The controller can perform protocol stack functions required by communication standards. According to another implementation, a protocol stack may be included in the communication interface. To this end, the controller may include at least one processor or microprocessor or reproduce parts of a processor. Also, a part of the communication interface or controller may be referred to as a communication processor (CP).

According to an embodiment of the present invention, a controller may control a terminal to perform an operation according to an embodiment of the present invention.

Hereinafter, a communication interface in a wireless communication system is illustrated.

The communication interface includes encoding and modulation circuitry, digital beamforming circuitry, a plurality of transmission paths, and analog beamforming circuitry.

Encoding and modulation circuitry performs channel encoding. At least one of a low-density parity check (LDPC) code, a convolution code, and a polar code may be used for channel encoding. An encoding and modulation circuit generates modulation symbols by performing constellation mapping.

A digital beamforming circuit performs beamforming on a digital signal (eg, a modulation symbol). To this end, a digital beamforming circuit multiplexes modulation symbols by beamforming weights. Beamforming weights can be used to change the size and phrase of a signal, and can be referred to as a "precoding matrix" or "precoder". The digital beamforming circuit outputs digital beamformed modulation symbols to a plurality of transmission paths. In this case, according to a multiple input multiple output (MIMO) transmission method, modulation symbols may be multiplexed or the same modulation symbol may be provided to a plurality of transmission paths.

The plurality of transmission paths convert digital beamformed digital signals into analog signals. To this end, each of the plurality of transmission paths may include an inverse fast fourier transform (IFFT) computation unit, a cyclic prefix (CP) insertion unit, a DAC, and an up conversion unit. The CP insertion unit is for an orthogonal frequency division multiplexing (OFDM) method and may be omitted when another physical layer method (eg, a filter bank multi-carrier: FBMC) is applied. That is, the plurality of transmission paths provide independent signal processing processes for a plurality of streams generated through digital beamforming. However, depending on the implementation, some elements of the plurality of transmission paths may be commonly used.

An analog beamforming circuit performs beamforming on an analog signal. To this end, the digital beamforming circuit multiplexes analog signals by beamforming weighting values. The beamformed weights are used to change the amplitude and phrase of the signal. More specifically, the analog beamforming circuit may be configured in various ways according to a connection structure between a plurality of transmission paths and an antenna. For example, each of a plurality of transmission paths may be connected to one antenna array. In another example, multiple transmission paths may be coupled to one antenna array. In another example, multiple transmission paths may be adaptively coupled to one antenna array or may be coupled to two or more antenna arrays.

The methods according to the present invention may be implemented in the form of program instructions that can be executed by various computer means and recorded on a computer readable medium. Computer readable media may include program instructions, data files, data structures, etc. alone or in combination. Program instructions recorded on a computer readable medium may be specially designed and configured for the present invention or may be known and usable to those skilled in computer software.

Examples of computer readable media may include hardware devices specially configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions may include not only machine language codes generated by a compiler but also high-level language codes that can be executed by a computer using an interpreter and the like. The hardware device described above may be configured to operate with at least one software module to perform the operations of the present invention, and vice versa.

In addition, the above-described method or device may be implemented by combining all or some of its components or functions, or may be implemented separately.

Although the above has been described with reference to preferred embodiments of the present invention, those skilled in the art will variously modify and change the present invention within the scope not departing from the spirit and scope of the present invention described in the claims below. You will understand that it can be done.

Claims (9)

As a device for providing pre-sale marketing support services,
The device,
at least one processor; and
A memory for storing instructions instructing the at least one processor to perform at least one operation,
At least one operation,
Receiving a reservation request from a customer terminal;
providing a customer information input request to the customer terminal;
receiving customer information from the customer terminal;
providing a time input request to the customer terminal;
receiving time from the customer terminal;
generating a reservation matched with the customer information and the time, and storing the reservation in a database; and
Including the operation of providing reservation information including the customer information and the time to the customer terminal,
Device. According to claim 1,
At least one operation,
receiving the reservation information from the customer terminal;
providing a health information input request to the customer terminal when the reservation matching the reservation information is retrieved from the database;
receiving health information from the customer terminal;
receiving a consultation request including the customer information from the customer terminal;
The consultation order of the consultation request is determined in the order in which the consultation request is received, and the consultation history matching the customer information is retrieved from the database, and the customer information, the consultation order, and the consultation history matched with the creating a consultation and storing it in the database;
providing first consultation information including the customer information and the consultation sequence to the customer terminal;
providing second counseling information including the customer information, the counseling order, and the counseling history to a counselor terminal;
receiving a request for sending a counseling notification including the customer information from the counselor terminal; and
Providing a counseling notification including counselor information and the counseling order to the customer terminal matching the customer information,
Device. According to claim 1,
At least one operation,
searching the database for sale information matching the real estate for sale, and determining a first recommendation degree matched with the customer terminal using the sale information and the customer information;
searching for community information matching the real estate for sale in the database, and determining a second recommendation degree matched with the customer terminal using the community information and the customer information;
searching the database for concierge information matched with the real estate offering, and determining a third recommendation degree matched with the customer terminal using the concierge information and the customer information;
determining a matching degree matched with the customer terminal using the first recommendation degree, the second recommendation degree, and the third recommendation degree; and
Determining the customer terminal having a matching degree greater than a preset reference matching degree as a recommended customer terminal.
Device. According to claim 3,
The operation of determining the first recommendation degree,
generating a product vector using a first equilibrium, location, shape and a first price included in the sale information;
inputting the product vector as an input value of the first artificial neural network learned in advance, and obtaining a plurality of checkpoints corresponding to the product vector from the first artificial neural network;
A family member vector is generated using the sex and age of each of the family members included in the customer information, and a propensity matched with the customer terminal and stored in the database and a second equilibrium and a second amount included in the customer information are used. to create a customer vector;
generating a checkpoint vector using each of the checkpoints;
inputting the family member vector, the customer vector, and the checkpoint vector as input values to a pre-learned second artificial neural network, and acquiring a degree of relevance corresponding to each of the checkpoints from the second artificial neural network;
determining the checkpoints whose relevance is equal to or greater than a preset first reference relevance as positive checkpoints, and determining the checkpoints whose relevance is smaller than a preset second reference relevance as negative checkpoints;
Provides the location, the positive checkpoint, and the negative checkpoint to a Geographic Information System (GIS) server, and from the GIS server, first geographic information matching the positive checkpoint and second geographic information matching the negative checkpoint obtaining information; and
determining the first recommendation degree matched with the customer terminal using the relevance of the positive checkpoint, the first geographical information, the relevance of the negative checkpoint, and the second geographical information; ,
Device. According to claim 4,
The operation of determining the second recommendation degree,
generating a community vector using the community information; and
and inputting the family member vector, the customer vector, and the community vector as input values to a pre-learned third artificial neural network, and acquiring the second recommendation degree matched with the customer terminal from the third artificial neural network. do,
The operation of determining the third recommendation degree,
generating a conservage vector using the conservage information; and
An operation of inputting the family member vector, the customer vector, and the concierge vector as input values to a previously learned fourth artificial neural network, and obtaining the third recommendation matched with the customer terminal from the fourth artificial neural network. including,
Device.
As an operating method for providing a pre-sale marketing support service,
Receiving a reservation request from a customer terminal;
providing a customer information input request to the customer terminal;
receiving customer information from the customer terminal;
providing a time input request to the customer terminal;
receiving time from the customer terminal;
generating a reservation matched with the customer information and the time, and storing the reservation in a database; and
Including the operation of providing reservation information including the customer information and the time to the customer terminal,
how it works. A non-transitory recording medium on which a program for executing the operating method according to claim 6 is recorded and can be read by a computer. A computer program recorded on a non-transitory recording medium in order to execute the operation method according to claim 6 in an apparatus for providing sales marketing support service. As a system for providing pre-sale marketing support services,
a customer terminal that provides reservation requests and customer information to the device; and
Including a service providing device for generating a reservation using the reservation request and the customer information,
The service providing device,
at least one processor; and
A memory for storing instructions instructing the at least one processor to perform at least one operation,
At least one operation,
Receiving a reservation request from the customer terminal;
providing a customer information input request to the customer terminal;
receiving the customer information from the customer terminal;
providing a time input request to the customer terminal;
receiving time from the customer terminal;
generating a reservation matched with the customer information and the time, and storing the reservation in a database; and
Including the operation of providing reservation information including the customer information and the time to the customer terminal,
system.

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