KR20220103016A - Electronic device for providing information for founding and method for operating thereof - Google Patents

Abstract

According to an embodiment of the present application, provided is a method for operating a server. The method includes the steps of: receiving a plurality of types of commercial area information for a plurality of brands from a plurality of external servers, wherein the plurality of types of commercial area information include the locations of stores of the plurality of brands, the number of the stores, the locations and the number of business startups and business closures of the stores associated with the plurality of brands, survival rates associated with the plurality of brands, average operating periods of the plurality of brands associated with the plurality of brands, and information on annual sales and annual net profits of the plurality of brands; receiving map data from a commercial area analysis server; classifying, based on the map data, the plurality of types of commercial area information by area, and generating an interface implemented to display objects representing the stores on the basis of information on the locations of the stores specifically for each area and to display the other digitized commercial area information of the plurality of types of commercial area information; providing the interface when identifying a connection from an electronic device to the server; receiving a meeting request for a specific brand from the electronic device through the interface; and opening a conference room to which the electronic device and a first external server corresponding to the specific brand among the plurality of external servers are accessible, and providing the opened conference room. Various other embodiments are possible. The present invention makes it easy for founders to analyze commercial information.

Description

Electronic device for providing information for start-up and operating method thereof

The present application relates to an electronic device for providing information for starting a business by analyzing commercial area information of brands for various types of industries and an operating method thereof.

Conventionally, new founders have performed business by analyzing commercial area information by themselves, and selecting a start-up business type and start-up item based on the commercial area information analysis.

In recent years, by signing an affiliation agreement with brands (or affiliate headquarters) that have already succeeded in a specific start-up industry and start-up item, start-ups in the form of conducting a start-up are also actively in progress.

However, it is still difficult for new founders to analyze specialized commercial area information, and based on the analyzed commercial area information, it is difficult to find an optimal (or professional and certified) brand (or affiliate headquarters) to start a business. There are difficulties in doing so.

According to an embodiment of the present application, one task is to accumulate commercial zone information for brands by various types of industries, and to provide a visualized interface that is easy for new founders to use based on the accumulated commercial zone information. An object of the present invention is to provide an electronic device that facilitates analysis of commercial area information and an operating method thereof.

According to an embodiment of the present application, another object is to provide an electronic device and an operating method for providing additional services (eg, real estate relay service, loan relay service) so that a new founder can easily start a business.

According to an embodiment of the present application, another task is to improve the usability of the interface by updating the interface provided to the new founder according to the input of the new founder, based on the machine learning model generated based on the accumulated commercial information. An object of the present invention is to provide an electronic device and a method of operation.

The problem to be solved by the present application is not limited to the above-mentioned problems, and the problems not mentioned will be clearly understood by those of ordinary skill in the art to which the present application belongs from the present specification and the accompanying drawings. .

According to an embodiment of the present application, as a method of operating a server, receiving a plurality of types of commercial information for a plurality of brands from a plurality of external servers; includes, wherein the plurality of types of commercial information are store locations of the plurality of brands, the number of stores, locations of stores associated with the plurality of brands, the number of openings and closings, the survival rate associated with the plurality of brands, the average of the plurality of brands associated with the plurality of brands Receiving map data from a commercial area analysis server, including information on a business period, annual sales of the plurality of brands, and annual net revenue; Based on the map data, the plurality of types of commercial district information is classified by region, and objects representing the stores are displayed based on the information on the locations of the stores for each region, and the plurality of types of commercial district information is displayed. generating an interface implemented to display the remaining digitized commercial area information; providing the interface when identifying a connection from an electronic device to the server; receiving a meeting request for a specific brand from the electronic device through the interface; Opening a conference room accessible to the electronic device and a first external server corresponding to the specific brand among the plurality of external servers, and providing the opened conference room; may be provided. .

According to an embodiment of the present application, a server comprising: a database; communication circuit; and at least one processor, wherein the at least one processor: receives a plurality of types of business district information for a plurality of brands from a plurality of external servers, and the plurality of types of business district information is store locations of brands, number of stores, locations of stores associated with said plurality of brands, number of openings and closings, survival rate associated with said plurality of brands, average duration of business of said plurality of brands associated with said plurality of brands; Receive map data from a commercial area analysis server, including information on annual sales and annual net revenue of the plurality of brands, and classify the plurality of types of commercial area information by region based on the map data, Create an interface implemented to display objects representing the stores based on the information on the locations of the stores and display the remaining digitized commercial area information among the plurality of types of commercial area information, and from the electronic device to the server a first external server that provides the interface when identifying a connection, receives a meeting request for a specific brand from the electronic device through the interface, and corresponds to the specific brand among the electronic device and the plurality of external servers A server configured to open an accessible conference room and provide the established conference room may be provided.

Solutions of the problems are not limited to the above-described solutions, and solutions not mentioned will be clearly understood by those of ordinary skill in the art to which the present application belongs from the present specification and the accompanying drawings. .

According to an embodiment of the present application, an electronic device and an operating method thereof accumulate commercial zone information on brands for various types of industries, and provide a visualized interface that is easy for new founders to use based on the accumulated commercial zone information. By providing it, it is possible to facilitate the analysis of the business district information of the founder.

According to an embodiment of the present application, an electronic device and an operating method thereof provide additional services (eg, a real estate relay service, a loan relay service) so that a new founder can easily start a business.

According to an embodiment of the present application, an electronic device and an operating method thereof update an interface provided to a new founder according to the input of the new founder based on a machine learning model generated based on accumulated commercial area information to use the interface Convenience can be improved.

According to various embodiments, the effects are not limited to the above-described effects, and the effects not mentioned will be clearly understood by those of ordinary skill in the art to which the present application belongs from the present specification and the accompanying drawings. .

1 is a view for explaining an example of the devices included in the smart startup information providing system according to an embodiment of the present application.
2 is a block diagram illustrating an example of a configuration of an electronic device according to an embodiment of the present application.
3 is a block diagram illustrating an example of the configuration of servers (eg, a server, an external server) according to an embodiment of the present application.
4 is a flowchart for explaining an example of the operation of the smart startup information providing system according to an embodiment of the present application.
5 is a diagram for explaining an example of operations of a server, an electronic device, and an external server according to an embodiment of the present application.
6 is a diagram for explaining an example of an operation of configuring and providing visualized commercial area information of a server according to an embodiment of the present application.
7 is an operation and/or messenger function for opening and providing an electronic meeting room for non-face-to-face consultation according to the selection of a specific brand (or a specific affiliate headquarters) of the electronic device of the server according to an embodiment of the present application; It is a diagram for explaining an example of an operation provided.
8 is a flowchart for explaining another example of the operation of the smart startup information providing system according to an embodiment of the present application.
9 is a view for explaining an example of an operation of categorizing and storing various types of commercial zone information of a server and an operation of generating a machine learning model according to an embodiment of the present application.
10 is a diagram for explaining an example of an operation of providing map data of a server according to an embodiment of the present application.
11 is a diagram for explaining another example of an operation of providing map data of a server according to an embodiment of the present application.
12 is a flowchart for explaining another example of the operation of the smart startup information providing system according to an embodiment of the present application.
13 is a diagram for explaining an example of an operation of extracting information of a specific time period for generating a machine learning model of the smart startup information providing system according to an embodiment of the present application.
14 is a view for explaining another example of the operation of extracting information of a specific time period for generating a machine learning model of the smart startup information providing system according to an embodiment of the present application.

According to an embodiment of the present application, as a method of operating a server, receiving a plurality of types of commercial information for a plurality of brands from a plurality of external servers; includes, wherein the plurality of types of commercial information are store locations of the plurality of brands, the number of stores, locations of stores associated with the plurality of brands, the number of openings and closings, the survival rate associated with the plurality of brands, the average of the plurality of brands associated with the plurality of brands Receiving map data from a commercial area analysis server, including information on a business period, annual sales of the plurality of brands, and annual net revenue; Based on the map data, the plurality of types of commercial district information is classified by region, and objects representing the stores are displayed based on the information on the locations of the stores for each region, and the plurality of types of commercial district information is displayed. generating an interface implemented to display the remaining digitized commercial area information; providing the interface when identifying a connection from an electronic device to the server; receiving a meeting request for a specific brand from the electronic device through the interface; Opening a conference room accessible to the electronic device and a first external server corresponding to the specific brand among the plurality of external servers, and providing the opened conference room; may be provided. .

According to an embodiment of the present application, receiving a search query for searching a first region and a first industry through the interface from the electronic device; and displaying first map data for the first area on the interface based on receiving the search query, and at least one information related to the first area and the first industry on the first map data. Displaying at least one object for indicating the location of at least one store of the brand; including, an operating method may be provided.

According to an embodiment of the present application, receiving an input for selecting a first object from among the at least one object from the electronic device; identifying a first brand associated with the first object based on the received input; and identifying the plurality of types of first commercial area information associated with the identified first brand, and providing some of the plurality of types of first commercial area information associated with the first area to the electronic device; A method of operation comprising: may be provided.

According to an embodiment of the present application, generating a machine learning model by using the information on the plurality of brands and the plurality of types of commercial information of the plurality of brands as training data; The model is set to output a weight corresponding to the specific type of commercial area information for each of the plurality of brands in response to receiving a specific type of commercial area information, and satisfies a condition specified by the electronic device through the interface receiving a first search query for searching for a first type of commercial area information; identifying a first weight for each of the plurality of brands that is output in response to inputting the first type of business district information into the machine learning model; selecting information on some brands having a weight that satisfies the specified condition from among the plurality of brands based on the identified first weight; and displaying at least one second object indicating the location of at least one store of the some brands.

According to an embodiment of the present application, at least one third identifying first brands associated with the first region and the first industry among the some brands and indicating the location of at least one store of the first brands Displaying the object; further comprising, an operating method may be provided.

According to an embodiment of the present application, while displaying at least one second object indicating the location of at least one store of the some brands, an input for deleting a third object among the at least one second object is received to do; identifying a third brand corresponding to the third object; and deleting the remaining objects corresponding to the third brand among the at least one second object. A method of operation may be provided.

According to an embodiment of the present application, a database implemented to classify and store commercial information of a plurality of types of the plurality of brands into a plurality of categories and a plurality of subcategories; further comprising, the identified first 3 identifying a third type of commercial area information characterized from among the plurality of types of third commercial area information associated with a brand; Based on the information on the plurality of categories and the plurality of sub-categories classified in the database, the third type of commercial area information and the fourth type of commercial area information with the lowest relevance are the lowest. identifying five types of commercial area information; Obtaining information on a fourth brand in response to inputting the fourth type of business district information into the machine learning model, and inputting the fifth type of business district information to the machine learning model in response to a fifth obtaining information about the brand; and deleting at least one fourth object associated with the fourth brand among the at least one second object, and further displaying at least one fifth object for indicating at least one store location of the fifth brand. An operation method including ; may be provided.

According to an embodiment of the present application, the method comprising: identifying a specific time period based on at least one of the number of businesses established for each of the plurality of brands or a season corresponding to the current time; extracting information corresponding to the identified specific time period from among the plurality of commercial district information of the plurality of types of the plurality of brands; and generating the machine learning model based on the extracted information; further comprising, an operating method may be provided.

According to an embodiment of the present application, through an external server, information on the number of advertisements of the plurality of brands or information on the number of times of exposure to SNS of the plurality of brands is received, and information on the number of advertisements of the plurality of brands is received. or calculating the notoriety for each of the plurality of brands based on information on the number of SNS exposures of the plurality of brands; including, wherein the plurality of commercial district information of the plurality of types of the plurality of brands is generated identifying time points, and identifying a start time point of the specific time period as shown in Equations 1 to 3 below based on the identified time points and the brightness; and identifying a time point at which the highest number of startups for each of the plurality of brands is secured as an end point of the specific time period; further comprising, an operating method may be provided.

According to an embodiment of the present application, a server comprising: a database; communication circuit; and at least one processor, wherein the at least one processor: receives a plurality of types of business district information for a plurality of brands from a plurality of external servers, and the plurality of types of business district information is store locations of brands, number of stores, locations of stores associated with said plurality of brands, number of openings and closings, survival rate associated with said plurality of brands, average duration of business of said plurality of brands associated with said plurality of brands; Includes information on annual sales and annual revenue of the plurality of brands, receives map data from a commercial area analysis server, and classifies the plurality of types of commercial area information by region based on the map data, Create an interface implemented to display objects representing the stores based on the information on the locations of the stores and display the remaining digitized commercial area information among the plurality of types of commercial area information, and from the electronic device to the server a first external server that provides the interface when identifying a connection, receives a meeting request for a specific brand from the electronic device through the interface, and corresponds to the specific brand among the electronic device and the plurality of external servers A server configured to open an accessible conference room and provide the established conference room may be provided.

According to an embodiment of the present application, a server comprising: a database; and at least one processor, wherein the at least one processor: receives a plurality of types of business district information for a plurality of brands from a plurality of external servers, and the plurality of types of business district information is store locations of brands, number of stores, locations of stores associated with said plurality of brands, number of openings and closings, survival rate associated with said plurality of brands, average duration of business of said plurality of brands associated with said plurality of brands; Includes information on annual sales and annual revenue of the plurality of brands, receives map data from a commercial area analysis server, and classifies the plurality of types of commercial area information by region based on the map data, Create an interface implemented to display objects representing the stores based on the information on the locations of the stores and display the remaining digitized commercial area information among the plurality of types of commercial area information, and from the electronic device to the server a first external server that provides the interface when identifying a connection, receives a meeting request for a specific brand from the electronic device through the interface, and corresponds to the specific brand among the electronic device and the plurality of external servers A server configured to open an accessible conference room and provide the established conference room may be provided.

According to an embodiment of the present application, as a computer-readable medium causing a method of providing information for a business start-up to be performed, the method of providing information for a business start-up includes a plurality of external servers Receiving a plurality of types of commercial district information for a plurality of brands from location, number of openings and closings of businesses, survival rate associated with the plurality of brands, average operating period of the plurality of brands associated with the plurality of brands, annual sales of the plurality of brands, and annual net profit , receiving the map data from the market analysis server; Based on the map data, the plurality of types of commercial district information is classified by region, and objects representing the stores are displayed based on the information on the locations of the stores for each region, and the plurality of types of commercial district information is displayed. generating an interface implemented to display the remaining digitized commercial area information; providing the interface when identifying a connection from an electronic device to the server; receiving a meeting request for a specific brand from the electronic device through the interface; Opening a conference room accessible to the electronic device and a first external server corresponding to the specific brand among the plurality of external servers, and providing the opened conference room; can be

According to various embodiments to those of ordinary skill in the art to which the present application belongs, the embodiments described in this specification are for clearly explaining the idea, so that the present application is limited by the embodiments described in this specification No, according to various embodiments, the range should be construed to include modifications or variations without departing from the spirit according to various embodiments.

The terms used in this specification have been selected as widely used general terms as possible in consideration of the functions in the present application, but they may vary depending on the intention, custom, or emergence of new technology of those of ordinary skill in the art to which this application belongs. can However, when a specific term is defined and used in an arbitrary sense, the meaning of the term will be separately described. Therefore, the terms used in this specification should be interpreted based on the actual meaning of the terms and the contents of the entire specification, rather than the names of simple terms.

The drawings attached to this specification are for easy explanation of the present application, and according to various embodiments, the shapes shown in the drawings may be exaggerated as needed to help understanding, so that the present application is limited by the drawings. it is not

In the present specification, when it is determined that a detailed description of a known configuration or function related to the present application may obscure the subject matter according to various embodiments, a detailed description thereof will be omitted if necessary.

The various embodiments of this document and terms used therein are not intended to limit the technical features described in this document to specific embodiments, but it should be understood to include various modifications, equivalents, or substitutions of the embodiments. In connection with the description of the drawings, like reference numerals may be used for similar or related components. The singular form of the noun corresponding to the item may include one or more of the item, unless the relevant context clearly dictates otherwise. As used herein, "A or B", "at least one of A and B", "at least one of A or B," "A, B or C," "at least one of A, B and C," and "A , B, or C," each of which may include any one of the items listed together in the corresponding one of the phrases, or all possible combinations thereof. Terms such as "first", "second", or "first" or "second" may simply be used to distinguish an element from other elements in question, and may refer elements to other aspects (e.g., importance or order) is not limited. It is said that one (eg, first) component is “coupled” or “connected” to another (eg, second) component, with or without the terms “functionally” or “communicatively”. When referenced, it means that one component can be connected to the other component directly (eg by wire), wirelessly, or through a third component.

As used herein, the term “module” may include a unit implemented in hardware, software, or firmware, and may be used interchangeably with terms such as, for example, logic, logic block, component, or circuit. A module may be an integrally formed part or a minimum unit or a part of the part that performs one or more functions. For example, according to an embodiment, the module may be implemented in the form of an application-specific integrated circuit (ASIC).

Various embodiments of the present document include one or more instructions stored in a storage medium (eg, internal memory 136 or external memory 138) readable by a machine (eg, electronic device 101). may be implemented as software (eg, the program 140) including For example, the processor (eg, the processor 120 ) of the device (eg, the electronic device 101 ) may call at least one of the one or more instructions stored from the storage medium and execute it. This makes it possible for the device to be operated to perform at least one function in accordance with the called at least one command. The one or more instructions may include code generated by a compiler or code executable by an interpreter. The device-readable storage medium may be provided in the form of a non-transitory storage medium. Here, 'non-transitory' only means that the storage medium is a tangible device and does not contain a signal (eg, electromagnetic wave), and this term is used in cases where data is semi-permanently stored in the storage medium and It does not distinguish between temporary storage cases.

According to one embodiment, the method according to various embodiments disclosed in this document may be provided in a computer program product (computer program product). Computer program products may be traded between sellers and buyers as commodities. The computer program product is distributed in the form of a machine-readable storage medium (eg compact disc read only memory (CD-ROM)), or through an application store (eg Play Store™) or on two user devices ( It can be distributed (eg downloaded or uploaded) directly, online between smartphones (eg: smartphones). In the case of online distribution, at least a portion of the computer program product may be temporarily stored or temporarily created in a machine-readable storage medium such as a memory of a server of a manufacturer, a server of an application store, or a relay server.

According to various embodiments, each component (eg, a module or a program) of the above-described components may include a singular or a plurality of entities. According to various embodiments, one or more components or operations among the above-described corresponding components may be omitted, or one or more other components or operations may be added. Alternatively or additionally, a plurality of components (eg, a module or a program) may be integrated into one component. In this case, the integrated component may perform one or more functions of each component of the plurality of components identically or similarly to those performed by the corresponding component among the plurality of components prior to the integration. . According to various embodiments, operations performed by a module, program, or other component are executed sequentially, in parallel, repeatedly, or heuristically, or one or more of the operations are executed in a different order, or omitted. , or one or more other operations may be added.

1. Smart startup information provision system

Hereinafter, a smart startup information providing system according to an embodiment of the present application will be described.

In the present specification, the smart startup information providing system provides various types of information (eg, restaurant, service, distribution, education, real estate, etc.) related to the commercial area of various types of brands (or affiliated headquarters) for each type of industry (eg: Store location, number of stores, number of openings and closures, survival rate, average operating period, income level, gender, age, etc.) are accumulated, and the accumulated information is analyzed and provided to new founders, and a specific brand (or affiliate headquarters) It can be defined as a system that induces entrepreneurship through The smart start-up information providing system is specialized and instead performs commercial area information analysis that is difficult for new start-ups, so that new start-ups using the smart start-up information providing system can start a business more safely and rationally. In addition, the smart start-up providing information system provides additional services (eg, loan link service, real estate link service) for new start-ups to new start-ups, so that new start-ups using the smart start-up information providing system can start a business more efficiently be able to do

Hereinafter, the smart startup information providing system will be described in more detail.

2. Configuration of smart startup information provision system

1 is a view for explaining an example of the devices included in the smart startup information providing system according to an embodiment of the present application.

Referring to FIG. 1 , the smart startup information providing system provides an electronic device 100 , a server 200 , an external server 300 of various types of brands (or affiliated headquarters), and commercial area information and map information. It may include a commercial area information server 350 that does.

According to an embodiment of the present application, the electronic device 100 is capable of communicating with the server 200 and includes various types of electronic devices usable by new founders (or users using the smart startup information providing system). can do. The electronic device may include personal terminals (eg, a smart phone, etc.), electronic devices (eg, a PC, etc.) provided at a fixed location, and a portable personal laptop computer. For example, users access the server 200 using the electronic device 100 and visualize commercial area information (eg, store locations of various types of brands, the number of stores, the number of openings and closings, survival rate, and average sales). period, income level, gender, age, etc.). Users may recognize the visualized commercial zone information displayed using the electronic device 100 and select a specific brand (or a specific affiliate headquarters) to be negotiated for starting a business based on the commercial zone information. After using the sample, users may conduct a non-face-to-face business meeting with a person in charge of a specific brand (or a specific affiliate headquarters) through the server 200 using the electronic device 100 .

According to an embodiment of the present application, the server 200 stores the visualized commercial district information (eg, store locations of various types of brands, the number of stores, the number of openings and closings, survival rate, average operating period, income level, gender, and age). etc.) to new founders (or the electronic device 100), and according to the request of the user using the electronic device 100, a specific brand (or a specific affiliate headquarters) and the user to conduct business negotiations can For example, the server 200 includes external servers 301 and 302 of various types of brands (or affiliated headquarters) for various types of industries (eg, catering, service, distribution, education, real estate, etc.) It is possible to receive and accumulate various information related to the commercial area (eg, store location, number of stores, number of openings and closings, survival rate, average operating period, income level, gender, age, etc.) from The server 200 configures an interface by analyzing and visualizing the received information, and when the electronic device 100 is connected, it provides an interface including the visualized commercial area information, so that the user of the electronic device 100 wants to see the brand. It is possible to make it possible to check the commercial area information of the affiliates (or affiliated headquarters) by region. In addition, the server 200 may relay the start-up by opening and providing a meeting room in which a person in charge of a specific brand (a specific affiliate headquarters) and a user of the electronic device 100 can have a non-face-to-face meeting. In addition, the server 200 provides additional services such as a real estate relay service such as renting a commercial building for start-up and a loan relay service that provides a start-up loan based on the user's credit information to improve the user's start-up convenience. have.

According to an embodiment of the present application, the external server 300 (eg, 301, 302) includes various types of brands (or As a server of the external servers 301 and 302 of the affiliate headquarters), it is possible to provide information about the commercial district to the server 200 . The information on the commercial district may include information such as location of stores by region, number of stores, number of openings and closings, survival rate, average operating period, income level, gender, age, and the like. The information on the commercial zone is not limited to what is described, and may further include various types of information used for commercial zone analysis.

According to an embodiment of the present application, the business district analysis server 400 may provide various types of information for business district analysis that are not provided from the external servers 301 and 302 to the server 200 . For example, the commercial area analysis server 400 may provide map data to the server 100 . The server 100 may classify and analyze the commercial area information received from the external servers 301 and 302 by region based on the received map data.

On the other hand, it is not limited to the devices included in the smart startup information providing system shown in FIG. 1, and the advertisement system may be implemented to include more devices or fewer devices.

2.1. An example of configurations of the electronic device 100 and the server 200

Hereinafter, an example of the components for performing the operations of the components included in the smart startup information providing system will be described. Meanwhile, since the smart startup information providing system may be implemented as a system type or an on-device type depending on the implementation purpose, this will be described later in "2.2 Table of Contents".

2.1.1 An example of the configuration of the electronic device 100

First, an example of the configuration of the electronic device 100 will be described.

2 is a block diagram illustrating an example of the configuration of the electronic device 100 according to an embodiment of the present application. Meanwhile, without being limited to that illustrated in FIG. 2 , the electronic device 100 may include fewer or more components than the illustrated components.

Referring to FIG. 2 , according to an embodiment, the electronic device 100 may include a first communication circuit 120 , a first control circuit 110 , an input device 130 , and a display 140 .

The first communication circuit 110 may communicate with an external device. For example, the first communication circuit 110 is connected to a network through wireless communication or wired communication to establish communication with an external device (eg, the server 200), and is visualized from the server 200 through the established communication. An interface (eg, a web graphic user interface, GUI) including information about a commercial area may be received. The wireless communication may be, for example, LTE, LTE Advance (LTE-A), or CDMA (code). division multiple access), wideband CDMA (WCDMA), universal mobile telecommunications system (UMTS), wireless broadband (WiBro), and cellular communication using at least one of Global System for Mobile Communications (GSM). According to an embodiment, wireless communication is, for example, WiFi (wireless fidelity), Bluetooth, Bluetooth low energy (BLE), Zigbee (Zigbee), near field communication (NFC), magnetic secure transmission (Magnetic Secure Transmission), radio frequency (RF), or may include at least one of a body area network (BAN).According to one embodiment, the wireless communication may include a GNSS.The GNSS includes, for example, a Global Positioning System (GPS); Glonass (Global Navigation Satellite System), Beidou Navigation Satellite System (hereinafter "Beidou") or Galileo, the European global satellite-based navigation system Hereinafter, in this document, "GPS" is interchangeable with "GNSS" Wired communication is, for example, a universal serial bus (USB) ), HDMI (high definition multimedia interface), RS-232 (recommended standard232), power line communication, and may include at least one of POTS (plain old telephone service). The network 162 may include at least one of a telecommunications network, for example, a computer network (eg, a LAN or WAN), the Internet, or a telephone network.

The first control circuit 120 may control the overall operation of the electronic device 100 . To this end, the first control circuit 120 may perform calculation and processing of various types of information and may control operations of components (eg, the first communication circuit 110 ) of the electronic device 100 . The first control circuit 120 may be implemented as a computer or a similar device according to hardware, software, or a combination thereof. In terms of hardware, the first control circuit 120 may be provided in the form of an electronic circuit (eg, CPU, etc.) that processes electrical signals to perform a control function, and in terms of software, the first control circuit in hardware ( 120) may be provided in the form of a program for driving. Meanwhile, in the following description, unless otherwise specified, the operation of the electronic device 100 may be interpreted as being performed by the control of the first control circuit 120 .

The input device 130 may receive information from a user (eg, receive an input for selecting a specific brand in an information input window displayed on an interface). The input device 130 may be various interfaces or connection ports that receive user input or output information to the user. The input device 130 may be divided into an input module and an output module, and the input module receives a user input from a user. The user input may be made in various forms including a key input, a touch input, and a voice input. Examples of input modules that can receive such user input include a traditional keypad, keyboard, and mouse, as well as a touch sensor that detects a user's touch, a microphone that receives a voice signal, a camera that recognizes gestures through image recognition, A proximity sensor composed of an illuminance sensor or infrared sensor that detects a user's approach, a motion sensor that recognizes a user's motion through an acceleration sensor or a gyro sensor, and other various types of input means for sensing or receiving various types of user input It is a comprehensive concept that includes all Here, the touch sensor may be implemented as a piezoelectric or capacitive touch sensor for detecting a touch through a touch panel or a touch film attached to the display panel, an optical touch sensor for detecting a touch by an optical method, and the like. In this case, the input device 130 may be implemented in the display 140 to be described later to receive a user's touch input. In other words, the display 140 may include a touch screen as the input device 130 , and may receive, for example, a touch, gesture, proximity, or hovering input using an electronic pen or a part of the user's body. can In addition, the input device 130 may be implemented in the form of an input interface (USB port, PS/2 port, etc.) for connecting an external input device that receives a user input instead of a device that detects a user input by itself.

The display 140 may include a liquid crystal display (LCD), a light emitting diode (LED) display, an organic light emitting diode (OLED) display, or a microelectromechanical system (MEMS) display, or an electronic paper display. . The display 140 may display an interface that visually configures commercial area information.

2.1.2 An example of the configuration of servers

Hereinafter, an example of the configuration of the servers (eg, the server 200, the external server 300, the commercial area information server 400) will be described. On the other hand, since the commercial area information server 400 may be implemented as the server 200 and/or the external server 300 to be described below, it is redundant.

3 is a block diagram illustrating an example of the configuration of servers (eg, server 200, external server 300) according to an embodiment of the present application. Meanwhile, the present invention is not limited to that shown in FIG. 3 , and the servers (eg, the server 200 and the external server 300 ) may include fewer or more configurations than the illustrated configurations.

Hereinafter, the server 200 will be described first.

Referring to FIG. 3 , according to an embodiment, the server 200 includes a first communication circuit 210 , an information acquisition module 221 , an information analysis module 222 , and an interface providing module 223 . It may include a control circuit 220 and a database 230 .

The second communication circuit 210 may communicate with an external device. For example, the second communication circuit 210 is connected to a network through wireless communication or wired communication to establish communication with an external device (eg, the electronic device 100), and includes commercial area information visualized through the set communication. It is possible to transmit an interface (or, consisting of commercial area information). Since the second communication circuit 210 may be implemented as the first communication circuit 110 of the above-described electronic device 100 , a redundant description will be omitted.

The second control circuit 220 may control the overall operation of the server 200 . To this end, the second control circuit 220 may perform calculation and processing of various types of information and may control the operation of components (eg, the second communication circuit 210 ) of the server 200 . Since the second control circuit 220 may be implemented as the first control circuit 120 of the electronic device 100 described above, a redundant description will be omitted. On the other hand, the modules (eg, the information acquisition module 221 , the information analysis module 222 , and the interface providing module 223 ) included in the second control circuit 220 of the server 200 to be described below are The second control circuit 220 may control to perform an operation related to the module. In other words, the modules are implemented with a program, computer readable code, process or instructions for controlling to perform an operation associated with the module, and the modules are executed by the second control circuit 220 . In this case, the control circuit 220 may control to perform an operation related to the module.

The second control circuit 220 includes an information acquisition module 221 , and the information acquisition module 221 is configured to include an external device (eg, the electronic device 100 , external servers 300 , and/or a commercial information server). (400)) can receive and collect information. For example, the information acquisition module 221 may provide various types of brands (or affiliate headquarters) for various types of industries (eg, catering, service, distribution, education, real estate, etc.) from the external servers 300 . ) may receive various information (eg, store location, number of stores, number of openings and closings, survival rate, average operating period, income level, gender, age, etc.) associated with the commercial area and accumulate it in the database 230 . Also, for example, the information obtaining module 221 may receive map data from the commercial area information server 400 .

The second control circuit 220 includes an information analysis module 222, and the information analysis module 222 includes an external device (eg, the electronic device 100, external servers 300, and/or a commercial information server). Based on the information received from (400)), it is possible to generate visualized commercial area information. For example, the information analysis module 222 may classify and analyze the business district information received from the external server 300 by region based on the map data received from the business analysis server 400 . The information analysis module 222 may process (eg, digitize, tabulate) the received commercial district information into an analytic form, visualize the processed commercial district information, and render it on map data.

The second control circuit 120 includes an interface providing module 223, and the interface providing module 223 transmits commercial area information visualized by the information analysis module 222 to electronic devices (eg, 200) to be connected. An interface can be provided. For example, the interface provided by the interface providing module 223 may be a graphic user interface including commercial area information rendered by the information analysis module 222 . The interface provided by the interface providing module 223 will be described in detail later with reference to FIGS. 6 to 7 .

The database 230 may store various types of information (eg, map data and commercial area information big data, etc.). A database can store data temporarily or semi-permanently. For example, in the database 320 of the server 200, an operating program (OS) for driving the server 200, data or programs or applications for hosting a web site (eg, web application) Data about the may be stored. Examples of the database 125 include a hard disk (HDD), a solid state drive (SSD), a flash memory, a read-only memory (ROM), and a random access memory (RAM). etc. may exist. Such a database may be provided in a built-in type or a detachable type.

Hereinafter, the external servers 300 (eg, the first external server, ?? , Nth external server) will be described.

Referring to FIG. 3 , according to an embodiment, the external servers 300 may include a third communication circuit 310 , a third control circuit 320 , and a third database 330 . The third communication circuit 310 is implemented like the first to second communication circuits 110 and 210 described above, and the third control circuit 320 is the first to second control circuits 120 and 220 described above. is implemented as, and the third database 330 may be implemented as the above-described database 230, and thus a redundant description will be omitted.

2.3. Implementation example of smart startup information provision system

The smart startup information providing system may be implemented as a system type or an on-device type as described above.

According to an embodiment, as described above, when the smart startup information providing system includes the electronic device 100 and the server 200, the smart startup information providing system may be defined as a system type.

According to another embodiment, when the above-described components are implemented in one physical device, the smart startup information providing system may be defined as an on-device type. For example, the configurations of the server 200 may be implemented in the electronic device 100, and in this case, the smart startup information providing system may be defined as an on-device type. In this case, the electronic device 100 receives and installs a program including the information acquisition module 221 , the information analysis module 222 , and the interface providing module 223 , and based on the execution of the program, information on the commercial area itself An interface including a may be provided to the user.

Also, without being limited to the description, the smart startup information providing system may be implemented as a hybrid type in which a system type and an on-device type are combined as shown. For example, at least one configuration of the server 200 (eg, the interface providing module 223 ) is implemented in the electronic device 100 , and another configuration (eg, the database 230 ) is implemented in the server 200 . The form to be used may be defined as a hybrid type.

3. Operation of Smart Startup Information Provision System

Hereinafter, various examples of operations of devices constituting the smart startup information providing system (eg, the electronic device 100 , the server 200 , the external server 300 , and the commercial area analysis server 400 ) will be described.

3.1. 1st embodiment <Operation of providing commercial area information and operation of providing non-face-to-face consultation service with a specific brand according to user request>

According to an embodiment, the server 200 provides various types of information (eg, catering, service, distribution, education, real estate, etc.) related to the commercial area of various types of brands (or affiliated headquarters) for each type of business area ( For example: store location, number of stores, number of openings and closings, survival rate, average operating period, income level, gender, age, etc.) may be analyzed, and visualized information may be provided to the connected electronic device 100 . The user of the electronic device 100 may review information on a specific region and/or a specific type of commercial area based on the visualized information and select a specific brand (or affiliate headquarters) to finally start a business. The server 200 may provide an electronic meeting room or a messenger function for a conference so that the user can conduct a non-face-to-face consultation with a business manager of a specific brand selected by the user. In addition, the server 200 may provide additional services (eg, loan linkage service, real estate linkage service) for starting a business.

4 is a flowchart for explaining an example of the operation of the smart startup information providing system according to an embodiment of the present application. According to various embodiments, the operation of the smart startup information providing system is not limited to the order of the operations shown in FIG. 4, and may be performed in an order different from the order shown. In addition, according to various embodiments, more operations than the operation of the smart startup information providing system shown in FIG. 4 may be performed, or at least one less operation may be performed. Hereinafter, FIG. 5 will be described with reference to FIGS. 5 to 7 .

FIG. 5 is a diagram for explaining an example of operations of the server 200 , the electronic device 200 , and the external server 300 according to an embodiment of the present application. 6 is a diagram for explaining an example of an operation of configuring and providing visualized commercial area information of the server 200 according to an embodiment of the present application. 7 is an operation of opening and providing an electronic meeting room for non-face-to-face discussion according to the selection of a specific brand (or a specific affiliate headquarters) of the electronic device of the server 200 according to an embodiment of the present application and/or It is a diagram for explaining an example of an operation of providing a messenger function.

According to an embodiment, the server 200 may receive the commercial area information from the external server 300 in operation 401 , and may receive map data from the market analysis server 400 in operation 402 . For example, the server 200 (eg, the information acquisition module 221 ) includes various types associated with the external servers 301 and 302 from each of the plurality of external servers 301 and 302 as shown in FIG. 6 . Various information (e.g., location of stores, number of stores, opening and closing of stores) related to various commercial areas of related brands (or affiliated headquarters) belonging to the industries (e.g., catering, service, distribution, education, real estate, etc.) number, survival rate, average operating period, annual sales, annual net profit, gender, age, etc.). The commercial zone information is not limited to what is described, and may further include a variety of information for commercial zone analysis. In addition, the server 200 (eg, the information acquisition module 221 ) may receive the map data 610 from the market analysis server 400 . The received map data 610 may include information (eg, address information) indicating the location of each region.

According to an embodiment, the server 200 may authenticate whether the external server 300 is qualified, and receive and accumulate only commercial information of the external server 300 whose qualification is authenticated. For example, the server 200 identifies whether the external server 300 is an external server 300 of a brand (or affiliate headquarters) that satisfies a specific condition, and if the brand satisfies the specific condition, the external server 300 qualification can be verified. Satisfaction of the specific condition may be associated with brand reliability, such as annual sales greater than or equal to a specified amount, debt ratio less than a specified amount, and business years greater than or equal to a specified number of years.

According to an embodiment, the server 200 may visualize the market area analysis and the analyzed information based on the map data in operation 403 . For example, the server 200 (eg, the information analysis module 222 ) identifies various types of commercial district information corresponding to each region based on the map data 610 as shown in FIG. 6 , and the identified commercial district Information can be visualized and rendered on map data. For example, the server 200 may identify a plurality of regions (eg, a first region) included in the map data 610 . The server 200 is commercial area information having address information corresponding to address information of each of a plurality of areas (eg, the first area) identified among various types of commercial area information received from each of the external servers 301 and 302 . can be identified. For example, the server 200 identifies information on store locations of a plurality of brands (eg, brand A and brand B) having address information corresponding to a specific region (eg, the first region), and identifies the When the map data of the first region is displayed based on the information on the store location, an interface ( 620) (eg, a graphical user interface). Also, for example, as shown in FIG. 6 , the server 200 includes other commercial area information (eg, a store) having address information corresponding to the first region of a plurality of brands (eg, brand A and brand B). location, number of stores, number of openings and closings, survival rate, average operating period, annual sales, net profit, gender, age, etc.) can be identified. The server 200 converts the identified commercial area information into information that can be analyzed (eg, numerical information, table information), and when displaying map data of the first area, the information that can be analyzed corresponding to the first area An interface 620 (eg, a graphic user interface) may be generated to display the commercial area information converted into . For example, when the server 200 receives the financial information of each of the stores in the first area of the brand A, the server 200 analyzes the received financial information based on a predetermined algorithm to extract numerical information such as annual sales and net profit. can do. The server 200 visualizes the extracted numerical information (eg, turns it into a graphic object) and renders it on the location of the map data 610 corresponding to the address information of the stores (eg, having the corresponding address information). can Accordingly, when the first region is displayed on the interface 620 , other digitized commercial area information of a plurality of brands may be displayed together with objects indicating the locations of stores of the plurality of brands. In the method as described above, the server 200 can analyze other various types of commercial information (eg, store location, number of stores, number of openings and closings, survival rate, average operating period, income level, gender, age). An interface 620 (eg, a graphical user interface) set to provide commercial area information may be generated by converting it into information, visualizing it and rendering it on the map data.

According to an embodiment, the interface 620 (eg, a graphic user interface) set to provide commercial area information responds to information (eg, a touch, or a search query) input from a user, and a result corresponding to the inputted information. can be set to output. For example, the interface 620 may be configured to display map data of a specific area corresponding to the search query in response to receiving it as a search query for searching for a specific area. Also, for example, the interface 620 responds to receiving a search query for searching for a specific type of industry (eg, catering) that satisfies a specified condition, a specific brand (or a specific affiliate) that satisfies the specified condition. It may be set to display the locations of stores of a specific brand along with information about the headquarters) on the map data. Also, for example, the interface 620 responds to receiving as a search query for searching for information about a specific type of commercial area that satisfies a specified condition (eg, annual sales of 1 billion or more), a specific brand that satisfies the condition It may be set to display the locations of stores of a specific brand on map data together with information on (or a specific affiliate headquarters). The search query may be input through a search window implemented on the interface 620 .

According to an embodiment, the server 300 may identify the connection of the electronic device 100 in operation 404 and provide analyzed and visualized commercial area information. As shown in 501 of FIG. 5 , the server 200 identifies the connection of the electronic device 100 and receives identification information 511 (eg, ID and password) of the identified electronic device 100 for authentication. can be performed. When authentication of the electronic device 100 is completed, the server 200 may provide an interface 620 (eg, a graphic user interface) set to provide visualized commercial area information as shown in FIG. 7 .

According to an embodiment, the server 200 may receive a request for providing specific brand information from the electronic device 100 in operation 405 , and may provide information on a specific brand to the electronic device 100 in operation 406 . For example, as shown in FIG. 7 , the user of the electronic device 100 includes a search curry 711 for searching for a specific area (eg, the first area) on the interface 620 and a specific type of industry ( For example, a search query 713 for searching for a restaurant business may be input. On the basis of receiving the search queries (eg, 711 and 713), the server 200 operates a specific type of industry (eg, catering) together with map data of the first region on the interface 620. Objects representing stores of various types of brands (eg, A brand and B brand) (or various types of affiliate headquarters) may be displayed. As illustrated in 502 of FIG. 5 , the electronic device 100 receives a user input 521 for selecting a specific store or a specific brand (eg, A brand) from the user on the map data being displayed (eg, a specific brand). receiving an input for selecting an object representing a store of ), and various types of commercial districts associated with a specific brand (eg, brand A) based on receiving the user's input 521 as shown in 503 of FIG. 5 . Information (eg, store location, number of stores, number of openings and closings, survival rate, average operating period, income level, gender, and age) 531 may be provided. In this case, only commercial information on a specific region currently being searched for (eg, the first region) may be filtered and provided.

According to an embodiment, the server 200 receives an affiliate consultation request from the electronic device 100 in operation 407 , the server 200 notifies the affiliate request to the external server 300 in operation 408 , and an external party in operation 409 . It is possible to identify the connection from the server 300 and induce the non-face-to-face consultation of the external server 300 . For example, the user of the electronic device 100 may provide various types of commercial information (eg, store location, number of stores, number of openings and closings, survival rate, average operating period, and income) associated with a specific provided brand (eg, brand A). level, gender, age) 531 may be reviewed and entered on interface 620 for a meeting request. As shown in 504 of FIG. 5 , the server 200 may inform the external server 300 of a specific brand (eg, brand A) of the meeting request of the electronic device 100 and induce access to the server 200 . . When the connection of the server 200 is identified, as shown in FIG. 7 , the server 200 does not have a meeting person in charge of a specific brand (eg, brand A) of the user of the electronic device 100 and the external server 300 . A meeting room or messenger function 720 for performing face-to-face work may be provided. The user of the electronic device 100 and the meeting person in charge of the external server 300 may discuss whether to start a business using the meeting room or the provided messenger function 720 .

According to an embodiment, the electronic device 100 may start a business in operation 410 , and the server 200 may provide other additional services for starting a business in operation 411 . For example, the user of the electronic device 100 may sign an affiliate agreement with a specific brand (eg, brand A) according to a discussion with a meeting person in charge of the external server 300 and inform the server 200 that a business is being started. can The server 200 may additionally provide additional services such as a real estate relay service such as renting a commercial building and a loan relay service that provides a start-up loan based on the user's credit information.

According to an embodiment, the server 200 may charge a relay fee in operation 412 . When an affiliate is concluded with the specific brand (eg, brand A), payment of a predetermined amount may be requested from the user and the specific brand (eg, brand A).

3.2 Second embodiment <Operation of filtering or adding specific brand information on map data based on machine learning model>

Since the operations of the above-described smart startup information providing system can be applied mutatis mutandis to the second embodiment, a redundant description will be omitted.

According to an embodiment, the server 200 may receive an input for deleting information (eg, information about a store) on a specific brand (or a specific affiliate headquarters) from a user on an interface (eg, 620 ). The server 200 identifies the type of commercial zone information (eg, a brand with high annual sales) that is characteristic of a specific brand (or a specific affiliate headquarters) to be deleted, and information of other brands corresponding to the corresponding commercial zone information Also, user convenience can be improved by deleting them. In addition, the server 200 additionally provides information on a brand (eg, a store location, a brand with a large number of stores) of a type of commercial district information that has a significant similarity to the commercial district information identified to be removed, so that the user can market can be analyzed.

8 is a flowchart for explaining another example of the operation of the smart startup information providing system according to an embodiment of the present application. According to various embodiments, the operation of the smart startup information providing system is not limited to the order of the operations shown in FIG. 8, and may be performed in an order different from the order shown. In addition, according to various embodiments, more operations than the operation of the smart startup information providing system shown in FIG. 8 may be performed, or at least one less operation may be performed. Hereinafter, FIG. 8 will be described with reference to FIGS. 9 to 11 .

9 is a diagram for explaining an example of an operation of categorizing and storing various types of commercial area information and an operation of generating a machine learning model of the server 200 according to an embodiment of the present application. 10 is a diagram for explaining an example of an operation of providing map data of the server 200 according to an embodiment of the present application. 11 is a diagram for explaining another example of an operation of providing map data of the server 200 according to an embodiment of the present application.

According to an embodiment, the server 200 may generate a machine learning model based on various types of information included in the commercial area information in operation 801 . For example, as shown in FIG. 9 , the server 200 receives from the external server 300 and accumulates various types of industries (eg, catering, service, distribution, education, real estate, etc.) Various types of information (e.g., store location, number of stores, number of openings and closings, survival rate, average operating period, annual sales, net profit, gender, age, etc.) can be classified by For example, as shown in FIG. 9 , commercial area information such as annual sales and annual net income is classified into a first sub-category representing financial information, and commercial area information such as survival rate is a second sub-category representing the degree of survival. can be classified as Also, the sub-categories (eg, the first sub-category and the second sub-category) may be classified into a higher category. For example, as shown in FIG. 9 , a first sub-category indicating financial information and a second sub-category indicating a survival degree may be classified into a first category indicating the quality of a commercial area. In addition, the second category indicating quantity, different from the first category, may include information on a type of commercial area such as a store location and the number of stores. The attributes indicated by the above-described categories and examples of commercial district information included in the categories are merely examples, and are not limited thereto and may be variously set by the administrator of the server 200 .

According to one embodiment, the server 200 stores various types of information (eg, store location, number of stores, number of openings and closings, survival rate, The machine learning model 910 may be generated based on the average sales period, annual sales, annual net profit, gender, age, etc.). The server 200 uses various types of commercial area information (eg, store location, number of stores, number of openings and closings, survival rate, average business period, annual sales, annual revenue, gender, age, etc.) as input data, and , and information on brands (eg, brand A, brand B) as output data, machine learning may be performed based on a predetermined machine learning algorithm. The machine learning algorithm is supervised learning such as linear regression, polynomial regression, classification analysis, and logistic regression, semi-supervised learning, clustering, and Dimension Reduction. ), such as supervised learning (Unsupervised learning), and algorithms such as reinforcement learning (Reinforcement learning), but are not limited thereto. For example, as shown in FIG. 9 , the server 200 may perform learning by performing an operation 901 of assigning a weight to a brand for each different type of commercial area information. As a result, the generated machine learning model 910 has a weight for each brand (eg, A brand, B brand, C brand) corresponding to a specific type of commercial zone information when a specific type of commercial zone information (eg, annual sales) is input. can be set to output. The weight may indicate a degree (eg, annual sales) of a specific type of commercial area information (eg, annual sales). If a specific type of commercial district information (eg, annual sales) is set to output a specified value (eg, 1 billion or more), each brand (eg, A brand, B brand, C) output by the machine learning model 910 . Only information of a brand having a weight corresponding to a value (eg, 1 billion or more) specified based on the weight for each brand) may be output by the server 200 .

According to an embodiment, the server 200 may receive a request for information on a brand suitable for the first type of commercial area information in operation 802 . For example, as shown in 1001 of FIG. 10 , the server 200 provides information on the brand information corresponding to the first type of commercial district information (eg, annual sales of 100 million or more) that satisfies the condition specified by the electronic device 100 . You can receive requests for As an example, the electronic device 100 may input a search query 1021 for searching for information about a first type of commercial district (eg, annual sales of 100 million or more) that satisfies a specified condition on the interface 620 .

According to an embodiment, the server 200 may provide information on a plurality of brands that are output based on the first type of commercial area information and the machine learning model in operation 803 . For example, as shown in 1001 of FIG. 10 , the server 200 includes a first type of business district information ( Example: information about annual sales). The machine learning model 910 responds to the input of the first type of commercial district information (eg, information on annual sales), a plurality of brands (or a plurality of affiliate headquarters) (eg, A brand, B Information on weights can be output for each brand, C brand, and D brand). The server 100 responds to the specified condition among a plurality of brands (or a plurality of affiliate headquarters) (eg, A brand, B brand, C brand, D brand) based on the received search query 1021 . You can select some brands with weights (eg A brand, B brand, C brand). For example, the server 200 may select some brands (eg, brand A, brand B, and brand C) having weights corresponding to the value of "100 million" or more. The server 200 provides information on some selected brands (eg, A brand, B brand, and C brand) and/or a specific industry (eg, A brand, B brand, C brand) currently being searched for. : restaurant) and information on the location of a store in a specific area (eg, the first area) may be displayed on the interface 620 .

According to an embodiment, the server 200 is currently electronic among a plurality of brands (or a plurality of affiliate headquarters) output from the machine learning model 910 (eg, A brand, B brand, C brand, D brand). When identifying information of brands different from a specific industry (eg, restaurant) and a specific region (eg, the first region) searched for by the device 100, the information of the identified different brands will not be displayed on the interface. can In other words, the server 200 selects the current electronic device 100 among a plurality of brands (or a plurality of affiliate headquarters) output from the machine learning model 910 (eg, A brand, B brand, C brand, and D brand). ), only some brands (eg, A brand, B brand, and C brand) associated with a specific industry (eg, restaurant) and a specific region (eg, the first region) searched for by ) may be displayed on the interface 620 . .

According to an embodiment, the server 200 may receive an input for removing a specific brand from the screen from the electronic device 100 in operation 804 . For example, as shown in 1002 of FIG. 10 , the server 200 may receive an input 1022 for removing a specific brand (eg, brand B) from the interface 625 . In response to the received input 1022 , the server 200 may remove all information (eg, information about a store location) associated with a specific brand (eg, B brand) on the interface 620 (or , can be controlled not to be displayed).

According to an embodiment, the server 200 identifies a second type of commercial area information that is main commercial area information associated with a specific brand removed in operation 805, and a third type that has the highest similarity to the identified second type of commercial area information. It is possible to identify the fourth type of commercial district information that has the lowest similarity to the commercial district information. For example, the server 200 may provide various types of commercial area information (eg, store location, number of stores, number of openings and closings, survival rate, average operating period, annual sales, and net profit) associated with the specific brand removed (eg, brand B). , gender, age, etc.) of a specific brand (eg, brand B) may identify a type of commercial district information (eg, annual sales) (hereinafter, characteristic type of commercial district information) 1110 having the highest value. Thereafter, as shown in 1101 of FIG. 11 , the server 200 stores various types of brands (or affiliated headquarters) for various types of industries (eg, catering, service, distribution, education, real estate, etc.) Based on information on a plurality of categories that categorize various types of information related to The identified characteristic type of commercial area information (eg, information on annual sales) 1110 and the third type of commercial area information (eg, information on annual net income 1111) with the highest similarity and a low fourth type of commercial area Information (eg, information 1112 on a location of a store and the number of stores) may be identified. As an example, the server 200 identifies a sub-category (eg, a first sub-category) including the identified characteristic type of commercial information (eg, information on annual sales) 1110, and the identified first sub-category It is possible to identify the commercial district information (eg, annual net profit) 1111 having the highest priority among various types of other commercial district information included in the information as the commercial district information with the highest degree of relevance. The priority may be designated by the administrator of the server 100 for the first sub-category. As another example, the server 200 includes the identified characteristic type of commercial district information (eg, information on annual sales) 1110 with the lowest similarity to the highest category (eg, the first category) including the category (eg, : Second category) may identify the type of commercial district information (eg, store location, information 1112 on the number of stores) as the commercial district information having the lowest degree of relevance. The relevance may be analyzed by various types of data analysis algorithms (eg, a nearest neighbor algorithm, etc.).

According to an embodiment, the server 200 may provide information on a plurality of output brands based on the third to fourth types of commercial area information and the machine learning model identified in operation 806 . For example, the server 200, as shown in 1101 of FIG. 10, the third type of commercial area information with the highest similarity identified in the machine learning model 910 (eg, information on annual net profit 1111)) In response to the input, information on C Brand is obtained from the machine learning model 910, and information on the fourth type of commercial area having the lowest similarity to the machine learning model 910 (eg, information on the location of stores and the number of stores) (1112))), information about D Brand can be obtained. As shown in 1102 of FIG. 11D, the server 200 automatically removes information similar to the deleted brand B by deleting information about the brand C (eg, information about the store location) on the interface 620, Convenience can be improved. In addition, as shown in 1102 of FIG. 11d , the server 200 displays information about the D Brand (eg, information on the location of a store) on the interface 620 so that it is possible to analyze the commercial information of the region in various aspects. can do.

3.3. Third embodiment <Operation of generating an accurate machine learning model by performing learning for a specific time period>

Since the operations of the above-described smart startup information providing system can be applied mutatis mutandis to the third embodiment, a redundant description will be omitted.

According to one embodiment, the server 200 identifies a specific time period that is expected to have a significant effect on the analysis of commercial area information, and performs learning based on the commercial area information of the brand of the specific time period, a more accurate machine learning model can create Accordingly, the generated machine learning model can more accurately output brand information in response to input specific type of commercial information.

12 is a flowchart for explaining another example of the operation of the smart startup information providing system according to an embodiment of the present application. According to various embodiments, the operation of the smart startup information providing system is not limited to the order of the operations shown in FIG. 12, and may be performed in an order different from the illustrated order. In addition, according to various embodiments, more operations than the operation of the smart startup information providing system shown in FIG. 12 may be performed, or at least one less operation may be performed. Hereinafter, FIG. 12 will be described with reference to FIGS. 13 to 14 .

13 is a view for explaining an example of an operation of extracting information of a specific time period for generating a machine learning model of the smart startup information providing system according to an embodiment of the present application. 14 is a view for explaining another example of the operation of extracting information of a specific time period for generating a machine learning model of the smart startup information providing system according to an embodiment of the present application.

According to an embodiment, the server 200 may obtain a plurality of brands and a plurality of commercial district information corresponding to the plurality of brands for generation of a machine learning model for providing brand information corresponding to the commercial district in operation 1201. have. For example, the server 200 may identify a plurality of commercial district information of a specific brand as described above as input data for generation of the machine learning model 910 . For example, as shown in FIG. 13 , the server 100 provides information on the commercial area that exists from the time when a specific brand is launched (or business is started) with respect to a specific brand 1311 (eg, brand A) to the current time. Fields 1312 , 1313 , 1314 , 1315 , and 1316 can be obtained.

According to an embodiment, in operation 1202 , the server 200 may identify a specific time period for learning from among a plurality of commercial district information for a specific brand. For example, the server 200 may store information about the season to which the current time belongs, information about the season to which the specific brand 1311 belongs, based on various factors, such as the reputation of the brand to which the specific brand 1311 belongs, from the time when the specific brand 1311 is launched to the current time. It is possible to determine a specific time period (eg, p1) in which commercial zone information on a specific brand 1311 is determined to have a significant effect on the sales volume of a specific product during the time period. For example, the server 100 may identify the specific time period p1 by identifying the start time and the end time of the specific time period p1 as shown in Equations 1 to 3 below. Referring to Equations 1 to 3 below, as a result, in the specific time period p1 , the specific brand 1311 has a relatively high level of well-being, so that a meaningful analysis result based on the commercial district information of the specific brand 1311 is obtained. It may be a time period that can be derived.

In Equations 1 to 3, the time points (the time when the commercial area information is generated, the brand launch time) are described in units of days. The time points may be calculated in units of years/months/hours/seconds.

According to an embodiment, the server 100 refers to Equations 1 to 3 above, and the server 100 collects a plurality of commercial district information 1312, 1313, 1314, 1315, 1316 (eg, commercial district). Information n, where n is a number that distinguishes each of the generated commercial zone information) at the time of product launch By adding to , the start time of a specific time period p1 can be calculated. For example, the server 200 searches and identifies the number of exposures to media such as the advertisement exposure degree of the specific product and the SNS exposure degree from another server (eg, an external server), and based on the identified number of exposures, the You can calculate the reputation of a particular brand. The server 200 may perform a web-crawling operation to calculate the number of times a specific brand has been exposed to advertisements and the number of times it has been exposed to SNS. The server 200 identifies the number of exposures up to the current time point (eg, the time point of creating a model) based on the count calculation, and identifies the number of exposures until the time point when specific commercial area information is generated. It is possible to calculate the luminosity of In addition, the server 200 may identify the time when the specific brand secures the most new founders as the end time of the specific time period p1. Accordingly, the server 200 may determine the specific time period p1 based on the start time and the end time of the identified specific time period p1 .

According to an embodiment, the server 200 identifies a specific season to which the current time belongs, and further identifies only a section corresponding to the specific season among the calculated specific time section p1, and the phrase corresponding to the identified specific season An operation of generating a machine learning model may be performed by extracting information from the liver.

According to an embodiment, the server 100 may determine whether information of a specific time period for a specific brand exists in operation 1203 . For example, when the server 100 determines that the commercial zone information 1313 , 1314 , 1315 exists within a specific time period p1 as shown in FIG. 812 , the commercial zone information 1313 , 1314 , 1315 ) can be obtained to perform a machine learning model creation operation.

According to an embodiment, when the server 200 determines that the information of the specific time period p1 does not exist, in operation 1204, a specific phrase to learn from among a plurality of commercial information for a brand similar to the specific brand. liver can be identified. For example, as shown in FIG. 13 , the server 200 may classify and store the brands 911 , 912 , and 913 by category. Since the categories are the same as described above, overlapping descriptions will be omitted. Hereinafter, an operation of identifying a specific time period based on a brand registered for each category of the server 200 will be described.

According to one embodiment, as shown in FIG. 13 , when it is identified that the information of the specific time period p1 for the specific brand 1211 does not exist, the server 200 includes the specific brand 1311 . Information on a specific time period p2 of another brand (eg, brand B 1412 ) within a sub-category (eg, the first sub-category) may be extracted. For example, the server 200 reflects the similarity between the specific brand 1311 and another brand (eg, B brand 1412) in the initially identified specific time period p1, and the other brand to be extracted (eg, B brand 1412). : A specific time period (p2) of B brand (1412)) can be identified. For example, as shown in Equation 4 below, in the case of the same sub-category, the similarity is preset to 0.8, and the server 200 multiplies the initially identified specific time interval p1 by 0.8 to obtain a specific time interval p2. can be identified. The start time of the specific time period p2 may be the start time of the aforementioned p1.

According to another embodiment, the server 200 does not have information of a specific time period p1 for the specific brand 1311, and other brands (eg, B brand) in the subcategory to which the specific brand 1311 belongs. When it is identified that there is no information of a specific time period p2 for (1412)), other brands included in another sub-category (eg, the second sub-category) within the category including the specific brand 1311 (eg: It is possible to extract information of a specific time period (p3) of C brand (1413)). For example, the server 200 reflects the degree of similarity between the specific brand 1311 and another brand (eg, C brand 1413) in the initially identified specific time period p1, and the other brand to be extracted (eg: It is possible to identify a specific time period p3 of brand C 1413. For example, as in Equation 5 below, in the case of other subcategories, the similarity is preset to 0.6, so that the server 200 initially The specific time period p3 may be identified by multiplying the identified specific time period p1 by 0.6 The start time of the specific time period p3 may be the start time of the above-described p1.

According to an embodiment, when extracting information about a brand included in another category (ie, another brand), the server 200 may identify a specific time period by reflecting a similarity lower than 0.5.

According to an embodiment, the server 200 extracts information of a specific time period in operation 1205 , performs learning based on the extracted information to generate a machine learning model 910 , and a machine learning model generated in operation 1206 . 910 may be provided to the electronic device 100 . The server 200 may calculate a specific time period for brands other than the specific brand, and, as a result, may extract and accumulate commercial area information corresponding to the specific time period calculated for each of a plurality of brands. The server 200 may generate machine learning models 910 based on commercial district information corresponding to a specific time period for each of the plurality of brands. The operations of generating the machine learning models of the server 200 may be performed as described above in FIG. 9 , and thus a redundant description will be omitted.

Claims (10)

As a method of operating a server,
Receiving a plurality of types of commercial district information for a plurality of brands from a plurality of external servers; includes, wherein the plurality of types of commercial district information includes store locations of the plurality of brands, the number of stores, and the plurality of brands location, number of openings and closures of stores associated with contain information;
Receiving the map data from the market analysis server;
Based on the map data, the plurality of types of commercial district information is classified by region, and objects representing the stores are displayed based on the information on the locations of the stores for each region, and the plurality of types of commercial district information is displayed. generating an interface implemented to display the remaining digitized commercial area information;
providing the interface when identifying a connection from an electronic device to the server;
receiving a meeting request for a specific brand from the electronic device through the interface; and
opening a conference room accessible to the electronic device and a first external server corresponding to the specific brand among the plurality of external servers, and providing the opened conference room;
how it works. The method of claim 1,
receiving a search query for searching a first region and a first industry from the electronic device through the interface; and
Based on receiving the search query, display first map data for the first region on the interface, and at least one brand associated with the first region and the first industry on the first map data Displaying at least one object for indicating the location of at least one store of
how it works. 3. The method of claim 2,
receiving an input for selecting a first object among the at least one object from the electronic device;
identifying a first brand associated with the first object based on the received input; and
Identifying the plurality of types of first commercial area information associated with the identified first brand, and providing partial information about the first commercial area associated with the first area among the plurality of types of first commercial area information to the electronic device; containing,
how it works. 4. The method of claim 3,
generating a machine learning model by using the information on the plurality of brands and information on a plurality of types of commercial districts of the plurality of brands as training data; In response to receiving, it is set to output a weight corresponding to the specific type of commercial information for each of the plurality of brands,
receiving a first search query for searching for a first type of commercial area information satisfying a specified condition from the electronic device through the interface;
identifying a first weight for each of the plurality of brands that is output in response to inputting the first type of business district information into the machine learning model;
selecting information on some brands having a weight that satisfies the specified condition from among the plurality of brands based on the identified first weight; and
Displaying at least one second object indicating the location of at least one store of the some brands;
how it works. 5. The method of claim 4,
The method further includes: identifying first brands associated with the first region and the first industry among the some brands, and displaying at least one third object indicating the location of at least one store of the first brands; doing,
how it works. 6. The method of claim 5,
receiving an input for deleting a third object from among the at least one second object while displaying at least one second object indicating the location of at least one store of the some brands;
identifying a third brand corresponding to the third object; and
deleting the remaining objects corresponding to the third brand among the at least one second object;
how it works. 7. The method of claim 6,
A database implemented to classify and store a plurality of types of commercial information of the plurality of brands into a plurality of categories and a plurality of sub-categories; further comprising,
identifying a third type of commercial area information characterized from among the plurality of types of third commercial area information associated with the identified third brand;
Based on the information on the plurality of categories and the plurality of sub-categories classified in the database, the third type of commercial area information and the fourth type of commercial area information with the lowest relevance are the lowest. identifying five types of commercial area information;
Obtaining information on a fourth brand in response to inputting the fourth type of business district information into the machine learning model, and inputting the fifth type of business district information to the machine learning model in response to a fifth obtaining information about the brand; and
deleting at least one fourth object associated with the fourth brand among the at least one second object, and further displaying at least one fifth object for indicating at least one store location of the fifth brand; containing,
how it works. As a server,
database; and
at least one processor, comprising:
Receive a plurality of types of commercial area information for a plurality of brands from a plurality of external servers, and the plurality of types of commercial area information includes store locations of the plurality of brands, the number of stores, and stores associated with the plurality of brands. location, number of openings and closings, survival rate associated with the plurality of brands, an average operating period of the plurality of brands associated with the plurality of brands, annual sales of the plurality of brands, and annual net profit;
Receive map data from the commercial area analysis server,
Based on the map data, the plurality of types of commercial district information is classified by region, and objects representing the stores are displayed based on the information on the locations of the stores for each region, and the plurality of types of commercial district information is displayed. Create an interface implemented to display the rest of the digitized commercial area information,
providing the interface when identifying a connection from an electronic device to the server;
receiving a meeting request for a specific brand through the interface from the electronic device;
configured to open a conference room accessible to the electronic device and a first external server corresponding to the specific brand among the plurality of external servers, and provide the opened conference room;
server. As a server,
database;
communication circuit; and
at least one processor, comprising:
Receive a plurality of types of commercial area information for a plurality of brands from a plurality of external servers, and the plurality of types of commercial area information includes store locations of the plurality of brands, the number of stores, and stores associated with the plurality of brands. location, number of openings and closings, survival rate associated with the plurality of brands, an average operating period of the plurality of brands associated with the plurality of brands, annual sales of the plurality of brands, and annual net profit;
Receive map data from the commercial area analysis server,
Based on the map data, the plurality of types of commercial district information is classified by region, and objects representing the stores are displayed based on the information on the locations of the stores for each region, and the plurality of types of commercial district information is displayed. Create an interface implemented to display the rest of the digitized commercial area information,
providing the interface when identifying a connection from an electronic device to the server;
receiving a meeting request for a specific brand through the interface from the electronic device;
configured to open a conference room accessible to the electronic device and a first external server corresponding to the specific brand among the plurality of external servers, and provide the opened conference room;
server. As a computer-readable recording medium causing a method of providing information for start-up to be performed,
The method of providing information for the start-up,
Receiving a plurality of types of commercial district information for a plurality of brands from a plurality of external servers; includes, wherein the plurality of types of commercial district information includes store locations of the plurality of brands, the number of stores, and the plurality of brands location, number of openings and closures of stores associated with contain information;
Receiving the map data from the market analysis server;
Based on the map data, the plurality of types of commercial district information is classified by region, and objects representing the stores are displayed based on the information on the locations of the stores for each region, and the plurality of types of commercial district information is displayed. generating an interface implemented to display the remaining digitized commercial area information;
providing the interface when identifying a connection from an electronic device to the server;
receiving a meeting request for a specific brand from the electronic device through the interface; and
opening a conference room accessible to the electronic device and a first external server corresponding to the specific brand among the plurality of external servers, and providing the opened conference room;
computer readable recording medium.

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