KR20200080505A - System, server and method for providing intelligent medium and micro enterprise owners support service - Google Patents

Abstract

The present invention relates to a system, a server, and a method for providing an intelligent small business support service, which provide an intelligent small business support service by collecting and analyzing spatially based big data even in a de-identified anonymous state of a consumer. An anonymous information collector collects the spatially based big data in the de-identified anonymous state. The intelligent small business support service providing server analyzes an anonymous floating population or movement pattern, clientele, a purchasing pattern and a space according to the anonymous space-based big data collected by the anonymous information collector, and maps the analyzed information on the anonymous floating population or movement pattern, the clientele and the purchasing pattern with the analyzed anonymous space information to derive spatially based commercial district or location information. A database receives the anonymous space-based big data, the information on the anonymous floating population or movement pattern, the clientele, the purchase pattern and the space, the mapping information, or the spatially based commercial district or location information from the intelligent small business support service providing server, and stores and registers the received information in the database. The small business terminal provides the spatially based commercial district or location information derived from the intelligent small business support service providing server to a small business owner.

Description

System, server and method for providing intelligent medium and micro enterprise owners support service}

The technical field of the present invention relates to an intelligent small business support service providing system, a server, and a method. In particular, it is implemented to collect and analyze space-based big data even in an unidentified anonymous state for a consumer to provide an intelligent small business support service. An intelligent small business support service providing system, server and method.

Korean Patent Publication No. 10-2003-0038178 (published May 16, 2003) analyzes location through the Internet by applying web geographic information system technology to database local characteristic information scattered to individuals and businesses that require regional characteristic information. And an internet commercial transaction analysis method using a database to form a community between users by performing commercial analysis and allowing exchange of goods and franchise start-up information between individuals and corporations related to the start-up, such as brokers and franchise companies. have. According to the disclosed technology, a database for analyzing location and commercial area is established and users can freely designate an area to be analyzed based on this, and the number of population, businesses, number of companies in each industry, distribution area by industry, income and expenditure type within the designated area By providing lifestyle databases such as shopping preferences, shopping preferences, and media preferences, users can establish sales forecasts and marketing strategies by analyzing whether or not to open a store based on location analysis and characteristics of commercial areas.

Korean Registered Patent No. 10-0883827 (registration on February 9, 2009) discloses a system and method for calculating the location suitability and sales rating of a small business owner, and a server and server that calculates the business suitability and sales rating of a specific small business owner. In a network environment that includes a number of user terminals requesting and receiving location suitability and sales ratings of specific small businesses calculated by the server by accessing through the Internet, a demographic database with item information corresponding to residential factors is provided in the server. Building; Constructing a database with apartment/sales information in the server; Constructing an enterprise database with item information corresponding to a business factor in the server; Accumulating lattice point information for generating location type and rating classification indicators for all regions in the server and constructing a database having a result of analyzing the accumulated lattice point information; Analyzing the items corresponding to the commercial factors in the server and constructing a database with the results of analyzing small business branch information for use as population data to infer final location suitability and sales grade; And constructing a geographic information database for providing various data provided by each database as map information. According to the disclosed technology, by combining information on residential/business/commercial facilities with geographic information to provide location suitability and sales ratings of small business branches, the financial industry conducts a business evaluation when evaluating small business (self-employed) loans, or starts a small business startup In addition to support services, it provides objective decision support materials when conducting sales/marketing and services for small businesses in various industries, such as financial/insurance/distribution.

In the prior art as described above, in the case of an unidentified anonymous state for a consumer, space-based big data such as real-time floating population or movement information, consumer audience information, purchase information, spatial information, etc. are collected and analyzed. It was difficult to do this, and there was a problem in that it was impossible to provide an intelligent small business support service in an anonymous state of an unidentified consumer.

In the prior art as described above, it also provided only short-term policy-type services or support, which are difficult to maintain in a non-organic and continuous follow-up manner, such as improving the fragmented infrastructure of the traditional market and distributing marketing apps. There was a problem in that it was not possible to create a correct entrepreneurship ecosystem and lead to a successful start-up. In addition, in the conventional technology as described above, it remains at the level of using flat and one-dimensional location and commercial information, and there is a problem that there is a limit to the practical solution of the marketing/promotion problem, which is the biggest problem of small business owners.

Korean Patent Publication No. 10-2003-0038178 Korean Registered Patent No. 10-0883827

The problem to be solved by the present invention is to solve the above-described problems, and is implemented to collect and analyze space-based big data even in an unidentified anonymous state for consumers to provide an intelligent small business support service. It is to provide an intelligent small business support service providing system, server and method.

As a means for solving the above-mentioned problems, according to one aspect of the present invention, an anonymous information collector for collecting space-based big data in an unidentified anonymous state; Analyze the anonymous floating population or movement pattern, customer, purchase pattern and space according to the anonymous space-based big data collected by the anonymous information collector, and analyze the analyzed anonymous floating population or movement pattern, audience and purchase pattern An intelligent small business support service providing server for deriving space-based commercial area or location information by mapping information on the anonymous space analyzed by analyzing the information on the server; The database receives the space-based big data in an anonymous state, floating population or movement pattern in an anonymous state, information about the customer, purchase pattern and space, mapping information, and space-based commercial or location information from the intelligent small business support service providing server. A database for reconciliation and registration; And a small business terminal for providing space-based commerce or location information derived from the intelligent small business support service providing server to a small business owner.

In one embodiment, the space-based big data is characterized in that it includes real-time floating population or movement information, consumer floor information, purchase information, and spatial information.

In one embodiment, the anonymous information collector is fixedly installed in each store, detects the unique signal of the consumer terminal, de-identifies it, gives an anonymous ID value, and extracts feature points of the consumer's face and de-identifies them. It is characterized by obtaining the anonymous floor information, and transmitting the anonymous ID value and the anonymous floor information together with the store identifier to the intelligent small business support service providing server.

In one embodiment, the anonymous information collector is characterized in that the consumer terminal detects a unique signal that is transmitted even when Wi-Fi is off, encrypts the unique signal, de-identifies it, and uses it as an anonymous ID value.

In one embodiment, the anonymous information collector is a terminal unique identifier included in at least one of a signal for a consumer terminal to announce its own location to a wireless base station, a signal for allocating a wireless base station, and a signal for a call connection with a wireless base station. Characterized in that to detect.

In one embodiment, the anonymous information collector is characterized in that a MAC address is detected from a Wi-Fi signal transmitted from a consumer terminal using a Wi-Fi scanner, and the MAC address is encrypted and de-identified to be used as an anonymous ID value.

In one embodiment, the anonymous information collector is characterized in that it detects a consumer's face and extracts a feature point, encrypts the detected face image or the extracted feature point, de-identifies it, and uses it as anonymous layer information.

In one embodiment, the anonymous information collector uses a camera to photograph a consumer's face, extracts low-dimensional feature points from the photographed face image, estimates object information using the extracted feature points, and uses it as anonymous layer information. It is characterized by.

In one embodiment, the anonymous information collector is characterized by estimating age and gender using object information using feature points extracted from a face image photographed through a camera.

In one embodiment, the anonymous information collector detects and de-identifies the unique signal of the consumer terminal at a predetermined time interval to give an anonymous ID value, and extracts and de-identifies feature points of the consumer's face to de-identify the anonymous audience. It is characterized by obtaining information.

In one embodiment, the anonymous information collector temporarily stores the anonymous ID value and the anonymous layer information in the internal memory together with the time information, and then stores the anonymous ID value, the anonymous layer information, and the time information temporarily stored in the internal memory for a predetermined time. After transmitting to the intelligent small business support service providing server together with the store identifier, it is characterized in that the anonymous ID value, the anonymous floor information, and the time information temporarily stored in the internal memory are deleted.

In an embodiment, the anonymous information collector transmits the anonymous ID value and the anonymous floor information acquired at predetermined time intervals to the intelligent small business support service providing server in real time along with the time information and store identifier, and immediately deletes the information. It is characterized by.

In one embodiment, the anonymous information collector is fixed to each store and is characterized in that it transmits the consumer's purchase information to the intelligent small business support service providing server together with the store identifier.

In one embodiment, the anonymous information collector sets a screen area to capture an image on the screen in advance, and automatically uses a screen capture module to automatically display a screen image corresponding to a preset screen area at the end of the consumer's product purchase process. It is characterized by capturing and transmitting the captured image to the intelligent small business support service providing server.

In one embodiment, the anonymous information collector is characterized in that when the consumer purchase activity is detected, requesting the customer recognition with the store identifier to the intelligent small business support service providing server.

In one embodiment, the anonymous information collector is characterized by applying a customized event received from the intelligent small business support service providing server to the scanned product.

In one embodiment, the anonymous information collector, using a Wi-Fi scanner, access sensor or camera sensor, product scanner, card or cash payment machine, the consumer approaches within a predetermined distance, or scans the product the consumer wants to purchase, It is characterized by detecting that the consumer pays for the purchased product by card or cash as a consumer purchasing activity.

In one embodiment, the anonymous information collector is characterized by requesting the customer identification along with the store identifier and time information to the intelligent small business support service providing server when detecting consumer purchase activity.

In one embodiment, the intelligent small business support service providing server receives the anonymous ID value, the anonymous floor information, and the store identifier from the anonymous information collector, and database the anonymous ID value and the anonymous floor information for each store identifier in the database. It is characterized by saving.

In one embodiment, the intelligent small business support service providing server is characterized by analyzing the real-time floating population or movement pattern by using the anonymous ID value, the anonymous floor information, and the store identifier, which are received in real time from the anonymous information collector. .

In one embodiment, the intelligent small business support service providing server is characterized by analyzing the outdoor counting, indoor counting, residence time, revisiting consumer status, and consumer position by anonymous ID value in real-time flow population analysis.

In one embodiment, the intelligent small business support service providing server is characterized in that, when analyzing the movement pattern, it analyzes the mobility of the resident in the current region of interest and the cross mobility between regions of interest.

In one embodiment, the intelligent small business support service providing server is characterized in that the anonymous ID value, the anonymous floor information, and the store identifier, received from the anonymous information collector are databased in a time series manner and stored in the database.

In one embodiment, the intelligent small business support service providing server is characterized by storing anonymous database information or anonymous ID values or store identifiers received from the anonymous information collector by age or gender and storing them in the database.

In one embodiment, the intelligent small business support service providing server is characterized in that it queues the anonymous ID value, the anonymous floor information, the store identifier, and the time information received from the anonymous information collector and stores them in the database.

In one embodiment, the intelligent small business support service providing server maps in real time with the anonymous ID value and the anonymous guest information, the store identifier, and the time information of the consumer's purchase information and store identifier queued from the anonymous information collector. Characterized in that it is stored in the database.

In one embodiment, the intelligent small business support service providing server is characterized by recognizing product purchase information of a consumer in a captured image received from the anonymous information collector using a text recognition module.

In one embodiment, the intelligent small business support service providing server uses the purchase information and the anonymous ID value of the consumer mapped in real time, the anonymous guest information, the store identifier, and the time information, and purchase patterns or payment patterns for each anonymous ID value. Characterized by analysis.

In one embodiment, the intelligent small business support service providing server uses real-time mapped consumer purchase information and anonymous ID values, anonymous guest information, store identifiers, and time information to visit pattern profiling data for each anonymous ID value. It is characterized by analyzing the circulation, residence time, and revisit.

In one embodiment, the intelligent small business support service providing server is characterized by setting a customer rating according to purchase information for each anonymous ID value.

In one embodiment, the intelligent small business support service providing server, by linking information about the floating population or movement pattern, customer and purchase patterns or payment patterns or product patterns in an anonymous state with information about an anonymous space, the small business It is characterized by deriving commercial or location information for the area to be started.

In one embodiment, the intelligent small business support service providing server uses a customer's purchase information and an anonymous ID value, an anonymous guest information, a store identifier, and time information mapped in real time, and is more than a preset number of visitors per day and a predetermined visitor It analyzes the major stores that are more than the number of purchases ratio, and stores information on the major stores in a database by region.

In one embodiment, the intelligent small business support service providing server uses a purchase information and an anonymous ID value, an anonymous floor information, a store identifier, and time information of a consumer mapped in real time, and is preset among related stores corresponding to the main store. It analyzes the excellent related stores that are within the distance and have more than a preset number of visitors per day and a purchase ratio compared to the preset number of visitors, analyzes the mobility from major stores to excellent related stores, and provides information on excellent related stores or related mobility by region. It is characterized in that the database is stored in the database.

In one embodiment, the intelligent small business support service providing server is set within a predetermined distance from a major store by using real-time mapped consumer purchase information and anonymous ID value, anonymous guest information, store identifier, and time information. It analyzes the excellent stores with more than a daily visitor and a purchase ratio higher than the preset number of visitors, analyzes the mobility from the main store to the excellent store, and stores the information about the excellent store or excellent mobility by database in each region and stores it in the database. It is characterized by.

In one embodiment, the intelligent small business support service providing server is characterized in that, by reading the information about the major stores or excellent stores in each region or excellent stores or related mobility or excellent mobility, and transmits to the small business terminal do.

In one embodiment, the intelligent small business support service providing server receives customer identification along with store identifier or time information from the anonymous information collector, and stores anonymous floor information corresponding to the store identifier stored at the time when customer recognition is requested. It is characterized in that the database checks and reads a customized event corresponding to the checked anonymous audience information from the database and transmits the customized event to the anonymous information collector.

In one embodiment, the database registers a customized event corresponding to the anonymous floor information by database for each store identifier, and stores the anonymous ID value and the anonymous floor information transmitted from the intelligent small business support service providing server for each store identifier. It is characterized in that the registration is made.

In one embodiment, the database is characterized in that the database registers the anonymous ID value, the anonymous floor information, and the store identifier, which are transmitted from the intelligent small business support service providing server, in a time-series manner.

In one embodiment, the database is characterized by registering anonymous group information or anonymous ID values or store identifiers grouped by age or gender, transmitted from the intelligent small business support service providing server.

In one embodiment, the database is characterized by registering the database by receiving the anonymous ID value, the anonymous floor information, the store identifier, and the time information queued by the intelligent small business support service providing server.

In one embodiment, the database, based on the anonymous ID value and the anonymous guest information, store identifier, time information queued by the intelligent small business support service providing server, the consumer's purchase information and information mapped in real time with the store identifier It is characterized by receiving and receiving the database and registering it.

In one embodiment, the database is characterized in that it registers the database by region by receiving information about the main store analyzed by the intelligent small business support service providing server.

In one embodiment, the database is characterized in that, by registering in advance a database for each major store that provides a product or service that is highly related to the major store, it is registered.

In one embodiment, the database is characterized in that it registers a database for each region by receiving information on excellent related stores or related mobility analyzed by the intelligent small business support service providing server.

In one embodiment, the database is characterized in that it registers a database for each region by receiving information on excellent stores or excellent mobility analyzed by the intelligent small business support service providing server.

In one embodiment, the database is registered by upgrading the information on the excellent store or excellent mobility analyzed by the intelligent small business support service providing server to information on the excellent related store or related mobility for the main store. do.

In one embodiment, the small business terminal is characterized in that it provides information on major stores or excellent stores or excellent stores or related mobility or excellent mobility by region received from the intelligent small business support service providing server to small businesses.

As a means for solving the above-described problem, according to another feature of the present invention, each of the anonymous information collectors or small business terminals that are communicatively connected through a network is identified, and the anonymous information collector is collected in an unidentified anonymous state. An interface unit for receiving and transmitting the space-based big data in an anonymous state, and then receiving the space-based commercial or location information and transmitting it to the small business terminal; A big data processing unit for storing and managing the space-based big data in an anonymous state transmitted from the interface unit in a database for each store; An information analysis unit for analyzing the floating population or movement patterns, customer layers, purchase patterns, and spaces in an anonymous state according to the space-based big data in an anonymous state stored and managed by the big data processing unit; And mapping information on the anonymized floating population or movement patterns, customer floors, and purchase patterns analyzed by the information analysis unit with information on anonymized spaces analyzed by the information analysis unit, and space-based commercial or location information. It provides an intelligent small business support service providing server including a service information deriving unit for deriving and delivering the information to the interface unit.

As a means for solving the above problems, according to another feature of the present invention, the anonymous information collector collecting space-based big data in a non-identified anonymous state; An intelligent small business support service providing server analyzes the anonymous floating population or movement patterns, customers, purchase patterns and spaces according to the anonymous space-based big data collected by the anonymous information collector, and analyzes the analyzed anonymous floating population or Mapping the information on the movement pattern, the customer base, and the purchase pattern with the information on the space in an anonymous state to derive space-based commercial or location information; The database delivers information on space-based big data in an anonymous state, floating population or movement patterns in an anonymous state, customer, purchase patterns and space, mapping information, and space-based commercial or location information from the intelligent small business support service providing server. Receiving the database and registering it; And providing, by the small business terminal, the space-based commercial area or location information derived from the intelligent small business support service providing server to the small business service.

As an effect of the present invention, by providing and providing an intelligent small business support service system, a server and a method implemented to provide an intelligent small business support service by collecting and analyzing space-based big data even in an unidentified anonymous state to the consumer. In addition, it lowers the barriers for entry of individual prospective entrepreneurs to acquire the most necessary location or commerce analysis, location selection, market information, etc. in the pre-start-up stage of small businesses, as well as discovering products and services optimized for the commercial premises of each entrepreneur. It is possible to create the right entrepreneurship ecosystem for small business owners, and it can lead to successful entrepreneurship.

According to the present invention, by escaping from the existing flat and one-dimensional location and commercial information, providing information according to the characteristics of the actual location and commercial area, more consumers are introduced through the development of customized theme commercials according to the characteristics of commercial areas And it has the effect that can be expected to increase sales through small businesses.

1 is a diagram illustrating an intelligent small business support service providing system according to an embodiment of the present invention.
FIG. 2 is a diagram illustrating an example of a setting for a screen area to be captured by the anonymous information collector shown in FIG. 1.
FIG. 3 is a diagram for explaining an anonymous information mapping in the intelligent small business support service providing server in FIG. 1 as an example.
FIG. 4 is a diagram illustrating an example of providing a customized event in an intelligent small business support service providing server in FIG. 1 as an example.
5 is a diagram illustrating an intelligent small business support service providing server in FIG. 1.
6 is a view for explaining a method for providing an intelligent small business support service according to an embodiment of the present invention.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art to which the present invention pertains may easily practice. However, since the description of the present invention is only an example for structural or functional description, the scope of the present invention should not be interpreted as being limited by the embodiments described in the text. That is, since the embodiments can be variously modified and have various forms, it should be understood that the scope of the present invention includes equivalents capable of realizing technical ideas. In addition, the purpose or effect presented in the present invention does not mean that a specific embodiment should include all of them or only such an effect, and the scope of the present invention should not be understood as being limited thereby.

The meaning of the terms described in the present invention should be understood as follows.

Terms such as “first” and “second” are for distinguishing one component from other components, and the scope of rights should not be limited by these terms. For example, the first component may be referred to as the second component, and similarly, the second component may also be referred to as the first component. When a component is said to be "connected" to another component, it may be understood that other components may exist in the middle, although they may be directly connected to the other component. On the other hand, when a component is said to be "directly connected" to another component, it should be understood that no other component exists in the middle. On the other hand, other expressions describing the relationship between the components, that is, "between" and "immediately between" or "adjacent to" and "directly neighboring to" should be interpreted similarly.

Singular expressions are to be understood as including plural expressions unless the context clearly indicates otherwise, and terms such as “comprises” or “having” refer to the features, numbers, steps, actions, components, parts, or components described. It is to be understood that a combination is intended to indicate the existence, and does not preclude the existence or addition possibility of one or more other features or numbers, steps, operations, components, parts or combinations thereof.

All terms used herein have the same meaning as generally understood by a person skilled in the art to which the present invention pertains, unless otherwise defined. The terms defined in the commonly used dictionary should be interpreted to be consistent with meanings in the context of related technologies, and cannot be interpreted as having ideal or excessively formal meanings unless explicitly defined in the present invention.

Now, an intelligent small business support service providing system, server, and method according to an embodiment of the present invention will be described in detail with reference to the drawings.

1 is a diagram illustrating an intelligent small business support service providing system according to an embodiment of the present invention, and FIG. 2 is a diagram illustrating an example setting for a screen area to be captured by the anonymous information collector in FIG. 1, and FIG. FIG. 1 is a diagram illustrating an example of information mapping in an anonymous state in an intelligent small business support service providing server in FIG. 1, and FIG. 4 is a diagram illustrating an example of providing a customized event in an intelligent small business support service providing server in FIG. 1.

1 to 4, the intelligent small business support service providing system 100 includes a plurality of anonymous information collectors 110, an intelligent small business support service providing server 120, a database 130, and a plurality of small business terminals 140 ), network 150.

The anonymous information collector 110 collects space-based big data (for example, real-time floating population or movement information, consumer audience information, purchase information, spatial information, etc.) in a non-identified anonymous state, and collects the corresponding information The anonymous space-based big data is transmitted through the network 150 to the intelligent small business support service providing server 120.

In one embodiment, the anonymous information collector 110 is fixedly installed in each store, detects a unique signal of a consumer terminal (not shown in the drawing for convenience of description), and de-identifies to give an anonymous ID value. At the same time, by extracting and de-identifying the feature points of the consumer's face, the anonymous floor information is obtained, and the given anonymous ID value and the obtained anonymous floor information are stored together with the store identifier through the network 150 to provide an intelligent small business support service server 120 ).

In one embodiment, the anonymous information collector 110, the unique signal that the consumer terminal sends even when the Wi-Fi (Wi-Fi) is off (for example, a signal informing his location to the wireless base station, a wireless base station assignment Signal, and a terminal unique identifier included in a signal for a call connection with a wireless base station), and the detected unique signal is encrypted and de-identified to be used as an anonymous ID value.

In one embodiment, the anonymous information collector 110 may include a Wi-Fi scanner, detect a MAC address from a Wi-Fi signal from a consumer terminal using the Wi-Fi scanner, and detect the MAC address. Can be encrypted and de-identified to be used as the anonymous ID value. At this time, the MAC address encryption may be performed by an encryption module having a preset conversion rule.

In one embodiment, the anonymous information collector 110 detects a consumer's face and extracts a feature point, encrypts the image of the detected face or the extracted feature point, and de-identifies it to be used as anonymous layer information. At this time, the face image or feature point encryption may be performed by an encryption module having a preset conversion rule.

In one embodiment, the anonymous information collector 110 may include a camera, photograph a consumer's face using the camera, extract a low-dimensional feature point from the photographed face image, and extract the extracted feature point. By estimating audience information such as age and gender, the estimated audience information can be used as anonymous audience information.

In one embodiment, the anonymous information collector 110 detects the unique signal of the consumer terminal at a predetermined time interval (for example, 1 second) and de-identifies it to give the anonymous ID value, and at the same time Anonymity information can be obtained by extracting feature points and de-identifying them. Anonymity ID temporarily stored in internal memory for a predetermined period of time after temporarily storing the given anonymous ID value and the obtained anonymous user information in internal memory with time information. After transferring the value, anonymous floor information, and time information to the intelligent small business support service providing server 120 together with the store identifier, by deleting the anonymous ID value, anonymous floor information, and time information temporarily stored in the internal memory, the consumer You can prevent personal information from being collected.

In one embodiment, the anonymous information collector 110 transmits the anonymous ID value and the anonymous floor information acquired at predetermined time intervals to the intelligent small business support service providing server 120 in real time together with the time information and the store identifier. By deleting it immediately afterwards, it is possible to protect the consumer's personal information by not collecting the consumer's personal information.

In one embodiment, the anonymous information collector 110 is a POS terminal, which is fixedly installed in each store, and stores consumer purchase information (for example, purchase product, customer unit price, payment, etc.) with the store identifier. It can be transmitted to the intelligent small business support server 120.

In one embodiment, the anonymous information collector 110 may include a screen capture module, and may further set a screen area to capture an image on the screen in advance, as shown in FIG. 2. It is also possible to automatically capture an image on the screen corresponding to a preset screen area at the final point of the consumer's product purchase process, and transmit the captured image to the intelligent small business support service providing server 120.

In one embodiment, the anonymous information collector 110 provides an intelligent small business support service after requesting the customer recognition through the network 150 to the intelligent small business support service server 120 during the consumer's purchasing activity. Upon receiving a customized event transmitted from the server 120, the received customized event is applied to a consumer (ie, a product (eg, a scanned product), etc.) purchased by the consumer.

In one embodiment, the anonymous information collector 110 detects consumer purchasing activity, such as a consumer approaching within a predetermined distance, scanning a product the consumer wants to purchase, or paying the purchase product by card or cash. can do. At this time, the anonymous information collector 110 may use a Wi-Fi scanner, an access sensor or camera sensor, a product scanner, a card or a cash payment machine, and the like.

In one embodiment, the anonymous information collector 110 may request the customer recognition along with the store identifier (or time information) to the intelligent small business support service providing server 120 when detecting the purchase activity of the consumer.

The intelligent small business support service providing server 120 receives the anonymous space-based big data transmitted from the anonymous information collector 110 and moves or moves the anonymous state according to the received anonymous-space-based big data. Analyze patterns, audiences, purchasing patterns and spaces, map information on the analyzed anonymized floating population or movement patterns, customers and purchasing patterns to information on the analyzed anonymous spaces, It derives space-based commercial or location information through information mapping and transmits it to the small business terminal 140 through the network 150.

In one embodiment, the intelligent small business support service providing server 120 receives the anonymous ID value, the anonymous floor information, and the store identifier, transmitted from the anonymous information collector 110, and receives the received anonymous ID value and the anonymous floor information. Each received store identifier can be databaseized and stored in the database 130.

In one embodiment, the intelligent small business support service providing server 120 can analyze real-time floating population or movement patterns by using anonymous ID values, anonymous guest information, and store identifiers received in real time from the anonymous information collector 110. Do.

In one embodiment, the intelligent small business support service providing server 120 may analyze outdoor counting, indoor counting, residence time, revisiting consumer status, consumer location, and the like by anonymous ID value when analyzing real-time floating population. .

In one embodiment, the intelligent small business support service providing server 120 may analyze the mobility pattern of the resident in the current region of interest, cross mobility between regions of interest, etc., when analyzing the movement pattern.

In one embodiment, the intelligent small business support service providing server 120, the anonymous ID value received from the anonymous information collector 110, the anonymous floor information, store identifiers can be databased in a time series manner and stored in the database 130 In this case, even if there is no personal information of the consumer that can identify the consumer, the database 130 can be managed with only the anonymous ID value or the anonymous guest information that cannot identify the consumer.

In one embodiment, the intelligent small business support service providing server 120 groups anonymous audience information (or an anonymous ID value or store identifier) received from the anonymous information collector 110 into the database 130 by grouping by age or gender. You can save it.

In one embodiment, the intelligent small business support service providing server 120 queues the anonymous ID value, the anonymous floor information, the store identifier, and the time information received from the anonymous information collector 110 to the database 130. You can save it.

In one embodiment, the intelligent small business support service providing server 120 receives the purchase information of the consumer and the store identifier transmitted from the anonymous information collector 110, and processes the queue of the purchase information and the store identifier of the received consumer The anonymous ID value, the anonymous floor information, the store identifier, and the time information can be mapped in real time as shown in FIG. 3 and stored in the database 130.

In one embodiment, the intelligent small business support service providing server 120 may include a text recognition module, receive the captured image transmitted from the anonymous information collector 110, and capture the received received using the text recognition module It is possible to recognize the purchase information of the consumer in the image.

In one embodiment, the intelligent small business support service providing server 120 uses real-time mapped consumer purchase information and anonymous ID value, anonymous floor information, store identifier, time information, and purchase pattern by anonymous ID value (or , You can analyze payment patterns or visit pattern profiling data (counseling, residence time, revisit, etc.), and you can also set customer ratings according to purchase information for each anonymous ID value, so you can purchase based on anonymity. It is possible to analyze patterns (or payment patterns or visit pattern profiling data (counseling, residence time, revisit, etc.)) and set customer ratings.

In one embodiment, the intelligent small business support service providing server 120 analyzes the information on the analyzed anonymized floating population or movement pattern, customer and purchase pattern (or payment pattern or product pattern) in an anonymous state. In connection with the information on the space of, it is possible to derive commercial or location information for the area where small businesses want to start.

In one embodiment, the intelligent small business support service providing server 120 uses the purchase information and the anonymous ID value of the consumer mapped in real time, the anonymous floor information, the store identifier, and the time information, and the predetermined number of visitors per day (for example, For example, it is possible to analyze major stores that are more than 20) and have a purchase ratio (for example, 40%) or more compared to a predetermined number of visitors, and database information for the analyzed major stores is databased by region. You can save it.

In one embodiment, the intelligent small business support service providing server 120 uses real-time mapped consumer purchase information and anonymous ID value, anonymous floor information, store identifier, and time information, among related stores corresponding to major stores. Stores that are within a predetermined distance (e.g., 200m from a major store) and have excellent associated stores with a number of visitors per day (e.g., 10 people) and a purchase ratio (e.g., 20%) compared to the number of visitors Analysis can also be made, and mobility from a major store to an excellent related store can be analyzed, and information on the analyzed excellent related store or related mobility can be databased by region and stored in the database 130.

In one embodiment, the intelligent small business support service providing server 120 uses a purchase information and an anonymous ID value, an anonymous passenger information, a store identifier, and time information of a consumer mapped in real time, a predetermined distance from a main store (eg For example, it is possible to analyze excellent stores that are within 200m from the main stores and have a number of visitors per day (for example, 10) or more and a purchase ratio (for example, 20%) compared to the number of visitors. Mobility from major stores to excellent stores can also be analyzed, and information on the analyzed excellent stores or excellent mobility can be databased by region and stored in the database 130.

In one embodiment, the intelligent small business support service providing server 120 reads the information on the major stores or excellent stores (or excellent stores) or mobility (associated mobility or excellent mobility) by region from the database 130, Information on the major stores or excellent related stores (or excellent stores) or mobility (associated mobility or excellent mobility) for each region may be transmitted to the small business terminal 140.

In one embodiment, the intelligent small business support service providing server 120 receives a request for customer recognition along with a store identifier (or time information) from the anonymous information collector 110, and stores the customer recognition at the time of request. Anonymous floor information corresponding to the identifier can be checked in the database 130, a custom event corresponding to the checked anonymous floor information is read from the database 130, and the read custom event is shown in FIG. 4, It can be transmitted to the anonymous information collector 110 (ie, POS terminal).

The database 130 stores anonymous space-based big data (for example, floating population or movement information, customer information, purchase information, spatial information, etc.) delivered from the intelligent small business support service providing server 120 for each store. It is registered by registration, and receives and receives information on the floating population or movement pattern, passenger floor, purchase pattern, and space in an anonymous state analyzed by the intelligent small business support service providing server 120, and then registers the database or registers it. Anonymity information mapped from the provision server 120 (that is, information mapped with information about the floating population or movement patterns, customer floors, and purchase patterns in an anonymous state based on information about the space in an anonymous state) is received and the database is received. In order to register, the space-based commercial area or location information derived from the intelligent small business support service providing server 120 is registered as a database.

In one embodiment, the database 130 may register the database by registering the anonymous ID value and anonymous guest information transmitted from the intelligent small business support service providing server 120 for each store identifier.

In one embodiment, the database 130 may register the database by registering the anonymous ID value, the anonymous floor information, and the store identifier in a time series manner from the intelligent small business support service providing server 120.

In one embodiment, the database 130 may register anonymous group information (or anonymous ID value or store identifier) transmitted from the intelligent small business support service providing server 120 by grouping by age or gender.

In one embodiment, the database 130 may receive and register an anonymous ID value, anonymized floor information, store identifier, and time information queued by the intelligent small business support service providing server 120 to be databased and registered.

In one embodiment, the database 130, the purchase information of the consumer and the store identifier (ie, queued anonymous ID value and anonymous guest information, store identifier, time information) mapped by the intelligent small business support service providing server 120 Based on this, it is possible to receive the consumer's purchase information and information mapped in real time with the store identifier) and register it as a database.

In one embodiment, the database 130 may receive information about a major store analyzed by the intelligent small business support service providing server 120 and register it in a database by region.

In an embodiment, the database 130 may register and store information about a related store that provides a product or service that is highly related to the main store by database in advance for each major store. For example, the main store is a clothing store In this case, the related store can be set as a clothing accessory store, a shoe store, etc., and when the main store is a smartphone store, the related store can be set as a smartphone accessory store, a smartphone content store, and the like.

In one embodiment, the database 130 may receive and register information about an excellent related store or related mobility analyzed by the intelligent small business support service providing server 120 to be databased and registered for each region.

In one embodiment, the database 130 may receive information on excellent stores or excellent mobility analyzed by the intelligent small business support service providing server 120 and register it in a database for each region, and also, an intelligent small business support service The information about the excellent stores or excellent mobility analyzed by the providing server 120 may be upgraded and registered as information on the excellent related stores or related mobility of the corresponding major stores.

In one embodiment, the database 130 may register a customized event corresponding to the anonymous floor information database by store identifier.

The small business terminal 140 receives the space-based business or location information transmitted from the intelligent small business support service providing server 120, and receives the received space-based business or location information through output means such as LCD, speaker, etc. It is provided to small business owners.

In one embodiment, the small business terminal 140 receives information about a major store or an excellent related store (or excellent store) or mobility (associated mobility or excellent mobility) by region transmitted from the intelligent small business support service providing server 120. Received, it may provide information about the major stores or excellent related stores (or excellent stores) or mobility (associated mobility or excellent mobility) of the received area to small businesses through output means.

The network 150 includes a wired communication network or a wireless communication network, and between the plurality of anonymous information collectors 110 and the intelligent small business support service providing server 120, the intelligent small business support service providing server 120 and the plurality of small business terminals ( 140) By connecting between wired or wireless communication, data transmission and reception between each other is performed.

In the intelligent small business support service providing system 100 having the above-described configuration, a plurality of anonymous information collectors 110 collect space-based big data even in a non-identified anonymous state to the consumer, and this is an intelligent small business support service. By analyzing the provision server 120 so as to provide an intelligent small business support service, the barriers of entry of individual prospective entrepreneurs into the most necessary location or commercial analysis, location selection, and acquisition of market information, etc. in the pre-entry stage of small business establishment In addition to lowering, individual entrepreneurs can find products and services that are optimized for the commercial area in which they are located, and thus, they can create the right entrepreneurship ecosystem for small business owners and lead to successful entrepreneurship. And the intelligent small business support service providing system 100 having the configuration as described above, there is no need to install a separate app on the consumer side, and there is no need to consent to the use of personal information, and the small business owner is also responsible for using personal information. It does not require consent and can provide convenience such as promotion without an app, and it can also solve customized marketing/promotional problems for anonymous consumers, the biggest obstacle of small business owners who operate stores.

The intelligent small business support service providing system 100 having the above-described configuration deviates from the existing flat and one-dimensional location and commercial information, and provides information according to the characteristics of the actual location and commercial information, thereby Through the development of a customized theme market based on characteristics, more consumers can be introduced and sales through small businesses can be expected to increase.

5 is a diagram illustrating an intelligent small business support service providing server in FIG. 1.

Referring to FIG. 5, the intelligent small business support service providing server 120 includes an interface unit 121, a big data processing unit 122, an information analysis unit 123, and a service information extraction unit 124.

The interface unit 121 communicates with the plurality of anonymous information collectors 110 or the plurality of small business terminals 140 through the network 150, and each has unique identification information (eg, terminal identifier, etc.) that it has. Each of the anonymous information collectors 110 or small business terminals 140 that are connected to and communicated through a network is identified, and the received anonymous space-based big data transmitted from the anonymous information collector 110 is received. The space-based big data is transferred to the big data processing unit 122, and the space-based commercial area or location information transmitted from the service information extraction unit 124 is transmitted to the small business terminal 140.

The big data processing unit 122 stores and manages the space-based big data in an anonymous state transmitted from the interface unit 121 for each store in the database 130.

In one embodiment, the big data processing unit 122 receives the anonymous ID value, the anonymous floor information, and the store identifier through the interface unit 121 transmitted from the anonymous information collector 110, and the received anonymous ID value. The anonymous floor information may be databased for each received store identifier and stored in the database 130.

In one embodiment, the big data processing unit 122 receives the anonymous ID value, the anonymous floor information, and the store identifier through the interface unit 121 transmitted from the anonymous information collector 110, and makes a database in a time series manner. It can be stored in the 130, and even if there is no personal information of the consumer to identify the consumer, the database 130 can be managed only with an anonymous ID value or anonymous floor information that cannot identify the consumer.

In one embodiment, the big data processing unit 122 may store the anonymous floor information (or anonymous ID value or store identifier) received through the interface unit 121 by age or gender and store it in the database 130. have.

In one embodiment, the big data processing unit 122 may queue the anonymous ID value, the anonymous floor information, the store identifier, and the time information received through the interface unit 121 and store them in the database 130. have.

In one embodiment, the big data processing unit 122 receives the purchase information of the consumer and the store identifier transmitted from the anonymous information collector 110 through the interface unit 121, and receives the received purchase information of the corresponding consumer Each received store identifier can be databaseized and stored in the database 130.

In one embodiment, the big data processing unit 122, as shown in FIG. 3 in real time with the anonymous ID value and the anonymous guest information, the store identifier, the time information of the corresponding queued consumer purchase information and store identifier It can be mapped together and stored in the database 130.

In one embodiment, the big data processing unit 122 may include a text recognition module, receive a captured image transmitted from the anonymous information collector 110 through the interface unit 121, and use a text recognition module It is possible to recognize purchase information of a consumer in the received captured image.

The information analysis unit 123 analyzes the anonymous floating population or movement patterns, customers, purchase patterns, and spaces according to the anonymous space-based big data stored and managed by the big data processing unit 122, and analyzes the anonymous Information about the floating population or moving pattern, floor, purchase pattern, and space of the state is databased for each store and stored in the database 130.

In one embodiment, the information analysis unit 123 may analyze the real-time floating population or movement pattern by using the anonymous ID value, the anonymous guest information, and the store identifier stored and managed in real time by the big data processing unit 122. .

In one embodiment, the information analysis unit 123 may analyze outdoor counting, indoor counting, residence time, whether to revisit consumers, and consumer location by anonymous ID value when analyzing real-time floating population.

In one embodiment, the information analysis unit 123 may analyze the mobility mobility of the residents in the current region of interest, the cross mobility between regions of interest, etc., when analyzing the movement pattern.

In one embodiment, the information analysis unit 123 uses the purchase information and the anonymous ID value of the consumer mapped in real time by the big data processing unit 122, the anonymous guest information, the store identifier, and the time information, and the anonymous ID value is determined. It is possible to analyze the purchase pattern (or payment pattern or visit pattern profiling data (counseling, residence time, revisit, etc.)), and also by setting the customer class according to the purchase information for each anonymous ID value. Based on analysis of purchasing patterns (or payment patterns or visit pattern profiling data (counseling, residence time, revisiting, etc.)), customer rating can be set.

In one embodiment, the information analysis unit 123 uses a customer's purchase information and an anonymous ID value, an anonymous floor information, a store identifier, and time information mapped in real time by the big data processing unit 122, and visits a predetermined day. It is possible to analyze major stores with a number (for example, 20 people) or more and a purchase ratio (for example, 40%) or more compared to a predetermined number of visitors, and database for the analyzed major stores by region is databased. It can be stored at 130.

In one embodiment, the information analysis unit 123 responds to the main store by using the purchase information of the consumer and the anonymous ID value, the anonymous guest information, the store identifier, and the time information mapped in real time by the big data processing unit 122. Among the related stores, the number of visitors per day (e.g., 10 people) is greater than a predetermined distance (e.g., 200 m from the main store), and the purchase ratio (e.g., 20%) is greater than the number of visitors. It is possible to analyze excellent related stores, and it is also possible to analyze the mobility from major stores to excellent related stores, and the analyzed information related to excellent related stores or related mobility is databased by region and stored in the database 130 Can give.

In one embodiment, the information analysis unit 123 uses the purchase information and the anonymous ID value of the consumer mapped in real time by the big data processing unit 122, the anonymous floor information, the store identifier, and the time information, and stores information from the main store. Analyze excellent stores that are within a set distance (e.g., 200m from a major store) and have more than a preset number of visitors per day (e.g., 10 people) and a purchase ratio (e.g., 20%) compared to a preset number of visitors. In addition, it is also possible to analyze the mobility from the main store to the excellent store, and the analyzed excellent store or excellent mobility information can be databased by region and stored in the database 130.

The service information deriving unit 124 analyzes information about the floating population or movement patterns, customer floors, and purchasing patterns in the anonymous state analyzed by the information analyzing unit 123 for the space in the anonymous state analyzed by the information analyzing unit 123. Maps the information, and stores the mapped anonymous information (that is, information that maps to the information about the floating population or movement patterns, guest floors, and purchase patterns in an anonymous state based on information about the space in the anonymous state) for each store. The data is stored in the database 130, and space-based commercial or location information is derived through information mapping in the anonymous state, and the derived spatial-based commercial or location information is databased and stored in the database 130. At the same time, it is delivered to the interface unit 121.

In one embodiment, the service information deriving unit 124, the information analysis unit 123 analyzes the information about the floating population or movement patterns, customer and purchase patterns (or payment patterns or product patterns) in an anonymous state. In connection with the information on the space in an anonymous state analyzed by the analysis unit 123, it is possible to derive commercial or location information for an area where a small business owner wants to start.

In one embodiment, the service information deriving unit 124 reads information on the major stores or excellent related stores (or excellent stores) or mobility (associated mobility or excellent mobility) by region from the database 130, and reads the corresponding information Information about a major store or an excellent store (or excellent store) for each region or mobility (associated mobility or excellent mobility) may be transmitted to the small business terminal 140 through the interface unit 121.

In one embodiment, the service information deriving unit 124 receives the customer recognition from the anonymous information collector 110 together with the store identifier (or time information) through the interface unit 121, and recognizes the corresponding customer. The anonymous floor information corresponding to the store identifier stored at the requested time can be checked in the database 130, and the customized event corresponding to the checked anonymous floor information is read from the database 130, and the read customized event is also executed. As shown in 4, it may be transmitted to the anonymous information collector 110 (that is, POS terminal).

6 is a diagram illustrating a method for providing an intelligent small business support service according to an embodiment of the present invention.

Referring to FIG. 6, the anonymous information collector 110 is space-based big data (eg, real-time floating population or movement information, consumer audience information, purchase information, spatial information, etc.) in a non-identified anonymous state. By collecting, the collected anonymous space-based big data is transmitted to the intelligent small business support service providing server 120 through the network 150 (S601).

In transmitting the space-based big data in an anonymous state in the above-described step S601, the anonymous information collector 110 fixedly installed in each store detects the unique signal of the consumer terminal and de-identifies it to give an anonymous ID value. At the same time, it extracts and de-identifies the feature points of the consumer's face to obtain anonymous floor information, and provides the given anonymous ID value and the obtained anonymous floor information together with the store identifier through the network 150 to provide an intelligent small business support service server ( 120).

In transmitting the space-based big data in an anonymous state in the above-described step S601, in the anonymous information collector 110, a unique signal (for example, a wireless base station) that the consumer terminal sends even when Wi-Fi is off It detects the signal that announces its own location, the signal for allocating the radio base station, and the terminal unique identifier included in the signal for the call connection with the radio base station). Can be used as a value.

In transmitting the space-based big data in an anonymous state in the above-described step S601, in the anonymous information collector 110 equipped with the Wi-Fi scanner, the MAC address (MAC address) in the Wi-Fi signal transmitted from the consumer terminal using the Wi-Fi scanner ) Is detected, and the detected MAC address can be encrypted and de-identified by an encryption module having a preset conversion rule, and used as an anonymous ID value.

In transmitting the space-based big data in an anonymous state in the above-described step S601, the anonymous information collector 110 detects the face of the consumer, extracts a feature point, and detects the corresponding by an encryption module having a preset conversion rule. The face image or the extracted feature point can be encrypted and de-identified to be used as anonymous class information.

In transmitting the space-based big data in an anonymous state in the above-described step S601, in the anonymous information collector 110 equipped with a camera, the consumer's face is photographed by using the camera, and the dimension is low in the photographed face image. Feature points may be extracted, and the estimated object information, such as age and gender, may be estimated using the extracted feature points, and the estimated object information may be used as anonymous object information.

In transmitting the space-based big data in an anonymous state in the above-described step S601, the anonymous information collector 110 detects and de-identifies the unique signal of the consumer terminal at a predetermined time interval (for example, 1 second). At the same time as the anonymous ID value is assigned, it is possible to obtain the anonymous floor information by extracting and de-identifying the feature points of the consumer's face, and temporarily storing the assigned anonymous ID value and the obtained anonymous floor information in the internal memory along with the time information. After transferring the anonymous ID value, anonymous floor information, and time information temporarily stored in the internal memory for a predetermined period of time to the intelligent small business support service providing server 120 with the store identifier, the anonymous ID value and anonymous temporarily stored in the internal memory By deleting the user information and time information, it is possible to prevent the consumer's personal information from being collected.

In transmitting the space-based big data in an anonymous state in the above-described step S601, in the anonymous information collector 110, the anonymous ID value and the anonymous floor information acquired at predetermined time intervals, in real time together with the time information and the store identifier. It is deleted immediately after being transmitted to the intelligent small business support service providing server 120 so that the personal information of the consumer is protected by not collecting the personal information of the consumer.

In the above-described step S601 in transmitting the space-based big data in an anonymous state, in the anonymous information collector 110 having POS terminals fixedly installed in each store, the consumer purchases with the store identifier using the corresponding POS terminal Information (for example, information such as a purchase product, a unit price, and payment) may be transmitted to the intelligent small business support service providing server 120.

In transmitting the space-based big data in an anonymous state in the above-described step S601, in the anonymous information collector 110 equipped with the screen capture module, as shown in FIG. 2, the screen area to capture the image on the screen is previously displayed. After setting, the screen capture module may be used to automatically capture an image on the screen corresponding to a preset screen area at the end of the consumer's product purchase process, and transmit the captured image to the intelligent small business support service providing server 120 have.

When the space-based big data in the anonymous state is transmitted in the above-described step S601, the intelligent small business support service providing server 120 receives the space-based big data in the anonymous state transmitted from the anonymous information collector 110 and receives the corresponding data. According to the received space-based big data in the anonymous state, the floating population or movement pattern, customer, purchase pattern, and space in the anonymous state are analyzed (S602).

In the above-described step S602 in analyzing the floating population or movement pattern, customer floor, purchase pattern, and space in an anonymous state, in the intelligent small business support service providing server 120, the anonymous ID value and the anonymous ID transmitted from the anonymous information collector 110 Upon receiving the store information and the store identifier, the received anonymous ID value and the anonymous store information may be databased for each received store store and stored in the database 130.

In the above-described step S602 in analyzing the floating population or movement pattern, customer floor, purchase pattern, and space in an anonymous state, in the intelligent small business support service providing server 120, the anonymous ID value received in real time from the anonymous information collector 110 And anonymous audience information and store identifiers, it is possible to analyze real-time floating population or movement patterns.

In the above-described step S602 in the analysis of the anonymized floating population or movement pattern, customer floor, purchase pattern, and space, the intelligent small business support service providing server 120, in real-time floating population analysis, outdoor counting by anonymous ID value , Indic counting, residence time, revisited consumer status, consumer location, etc. can also be analyzed.

In the above-described step S602 in analyzing the floating population or movement pattern, customer floor, purchase pattern, and space in an anonymous state, the intelligent small business support service providing server 120 tracks the mobility of the residents in the current region of interest when analyzing the movement pattern Also, it is possible to analyze cross mobility between regions of interest.

In the above-described step S602 in analyzing the floating population or movement pattern, customer floor, purchase pattern, and space in an anonymous state, in the intelligent small business support service providing server 120, the anonymous ID value and the anonymous ID received from the anonymous information collector 110 The customer information and store identifiers can be databased in a time-series manner and stored in the database 130. Therefore, even if there is no personal information of the consumer that can identify the consumer, only the anonymous ID value or the anonymous floor information that cannot identify the consumer The database 130 can be managed.

In the above-described step S602 in analyzing the floating population or movement pattern, customer floor, purchase pattern, and space in an anonymous state, in the intelligent small business support service providing server 120, the anonymous floor information (or) received from the anonymous information collector 110 , Anonymous ID value or store identifier) may be grouped by age or gender and stored in the database 130.

In the above-described step S602 in analyzing the floating population or movement pattern, customer floor, purchase pattern, and space in an anonymous state, in the intelligent small business support service providing server 120, the anonymous ID value and the anonymous ID received from the anonymous information collector 110 The customer information, store identifier, and time information may be queued and stored in the database 130.

In the above-described step S602 in analyzing the floating population or movement pattern, object floor, purchase pattern, and space in an anonymous state, in the intelligent small business support service providing server 120, the purchase information of the consumer transmitted from the anonymous information collector 110 and When receiving the store identifier, the purchase information of the received consumer and the store identifier are mapped in real time with the queued anonymous ID value and anonymous floor information, store identifier, time information as shown in FIG. 3, and the database 130 Can be stored in.

In the above-described step S602 in analyzing the floating population or movement pattern, object floor, purchase pattern, and space in an anonymous state, in the intelligent small business support service providing server 120 equipped with a character recognition module, from the anonymous information collector 110 Upon receiving the transmitted captured image, the purchase information of the consumer in the received captured image may be recognized using a text recognition module.

In the above-described step S602 in analyzing the floating population or movement pattern, customer floor, purchase pattern, and space in an anonymous state, in the intelligent small business support service providing server 120, the purchase information and the anonymous ID value of the consumer mapped in real time, the anonymous You can analyze purchasing patterns (or payment patterns or visit pattern profiling data (counseling, residence time, revisit, etc.)) for each anonymous ID value using customer information, store identifier, and time information. It is possible to set the customer rating according to the purchase information for each, so it is possible to analyze the purchase pattern based on anonymity (or payment pattern or visit pattern profiling data (counseling, residence time, revisit, etc.)) and set the customer rating. Do.

In analyzing the floating population or movement pattern, customer floor, purchase pattern, and space in an anonymous state in the above-described step S602, the intelligent small business support service providing server 120, the purchase information of the consumer mapped in real time in the above-described step S602 and Major stores that are more than a predetermined number of visitors per day (for example, 20 people) and have a purchase rate (for example, 40%) compared to a predetermined number of visitors using anonymous ID values, anonymous floor information, store identifiers, and time information It can be analyzed, it can be stored in the database 130 by database information for each region of the analyzed major stores.

In analyzing the floating population or movement pattern, customer floor, purchase pattern, and space in an anonymous state in the above-described step S602, the intelligent small business support service providing server 120, the purchase information of the consumer mapped in real time in the above-described step S602 and Using an anonymous ID value, anonymous floor information, store identifier, and time information, a predetermined number of visitors per day (for example, within a predetermined distance (for example, 200 m from the main store)) among related stores corresponding to the main store (for example, 10 or more), and it is possible to analyze excellent related stores with a purchase ratio (for example, 20%) or more compared to a predetermined number of visitors, and also to analyze mobility from major stores to excellent related stores. Information about excellent related stores or related mobility can be databased by region and stored in the database 130.

In analyzing the floating population or movement pattern, customer floor, purchase pattern, and space in an anonymous state in the above-described step S602, the intelligent small business support service providing server 120, the purchase information of the consumer mapped in real time in the above-described step S602 and Using an anonymous ID value, anonymous floor information, store identifier, and time information, the number of visitors per day (for example, 10 people) is greater than a predetermined distance from the main store (for example, 200 m from the main store) It is possible to analyze excellent stores with a purchase ratio (e.g., 20%) or more compared to a predetermined number of visitors, and also to analyze the mobility of major stores to excellent stores, and for this analyzed excellent stores or excellent mobility Information may be databased by region and stored in the database 130.

After analyzing the anonymized floating population or movement pattern, customer floor, purchase pattern, and space in step S602, the intelligent small business support service providing server 120 analyzes the anonymous anonymous floating population in step S602, or Mapping information about movement patterns, customer bases, and purchase patterns with information on the analyzed anonymity space, deriving space-based commercial or location information through mapping of the anonymity information, and establishing small businesses through the network 150 It will be transmitted to the terminal 140 (S603).

In transmitting the space-based commercial area or location information in the above-described step S603, the intelligent small business support service providing server 120 analyzes the anonymized floating population or movement pattern, the customer layer, and the purchase pattern (or in the above-described step S602). , Payment pattern or product pattern) may be associated with information on an anonymous space analyzed in step S602 described above, to obtain commercial or location information for an area where a small business owner wants to start.

In transmitting the space-based commercial or location information in the above-described step S603, in the intelligent small business support service providing server 120, a regional major store or an excellent related store (or excellent store) or mobility (associated mobility or excellent mobility) Read information about the database from the database 130, and transmits the information on the region-specific major stores or excellent related stores (or excellent stores) or mobility (associated mobility or excellent mobility) to the small business terminal 140 Can.

When the space-based commercial area or location information is transmitted in the above-described step S603, the small business terminal 140 receives and receives the space-based commercial area or location information transmitted from the intelligent small business support service providing server 120. Space-based commercial or location information is provided to small business owners through output means such as LCDs and speakers (S604).

In providing the space-based commercial area or location information in the above-described step S604, the anonymous information collector 110 provides an intelligent small business support service providing server through the network 150 with the store identifier in the consumer's purchasing activity (120). Accordingly, the intelligent small business support service providing server 120 receives the customer recognition along with the store identifier (or time information) from the anonymous information collector 110, and corresponds to the store identifier stored at the time when the customer recognition is requested. Anonymous floor information can be checked in the database 130, and a customized event corresponding to the checked anonymous floor information is read from the database 130, and the read customized event is shown in FIG. 4, as shown in FIG. (110) (i.e., a POS terminal). Then, the anonymous information collector 110 receives the customized event transmitted from the intelligent small business support service providing server 120, and receives the received customized event from the consumer (ie, a product purchased by the consumer (eg, a scan product, etc.). ), etc.).

In providing the space-based commercial or location information in the above-described step S604, the anonymous information collector 110 uses a Wi-Fi scanner, an access sensor or camera sensor, a product scanner, a card or a cash payment machine, and the consumer. It is possible to detect consumer purchasing activities, such as approaching within a predetermined distance, scanning a product that a consumer intends to purchase, or paying a purchase product by card or cash, etc. Alternatively, the customer recognition may be requested to the intelligent small business support service providing server 120 together with the time information).

In providing the space-based commercial or location information in the above-described step S604, the small business terminal 140, the major small stores or excellent related stores (or excellent stores) by region transmitted from the intelligent small business support service providing server 120 or Receiving information on mobility (associated mobility or excellent mobility), and receiving information on major stores or related stores (or excellent stores) or mobility (associated mobility or excellent mobility) for each area through the output means to small businesses Can provide.

As described above, the embodiment of the present invention is not implemented only through the above-described apparatus and/or operating method, and a program for realizing a function corresponding to the configuration of the embodiment of the present invention, a recording medium in which the program is recorded, etc. It may be implemented, such an implementation can be easily implemented by those skilled in the art to which the present invention belongs from the description of the above-described embodiment. Although the embodiments of the present invention have been described in detail above, the scope of the present invention is not limited thereto, and various modifications and improvements of those skilled in the art using the basic concept of the present invention defined in the following claims are also provided. It belongs to the scope of rights.

100: intelligent small business support service provision system
110: anonymous information collector
120: intelligent small business support server
121: interface
122: big data processing unit
123: Information analysis department
124: Service Information Derivation Department
130: database
140: small business terminal
150: network

Claims (5)

An anonymous information collector for collecting space-based big data in a non-identified anonymous state;
Analyze the anonymous floating population or movement pattern, customer floor, purchasing pattern and space according to the anonymous space-based big data collected by the anonymous information collector, and analyze the analyzed anonymous floating population or movement pattern, object floor and purchasing pattern An intelligent small business support service providing server for deriving space-based commercial or location information by mapping information on the anonymous space analyzed by analyzing the information on the server;
Databases receiving information about space-based big data in an anonymous state, floating population or movement patterns in an anonymous state, customer, purchase patterns and space, mapping information, space-based commercial or location information from the intelligent small business support service providing server A database for reconciliation and registration; And
An intelligent small business support service providing system including a small business terminal for providing small business owners with space-based commercial or location information derived from the intelligent small business support service providing server.
The method of claim 1, wherein the space-based big data,
An intelligent small business support service providing system comprising real-time floating population or movement information, consumer class information, purchase information, and spatial information.
The method of claim 1, wherein the anonymous information collector,
It is fixedly installed in each store, detects the unique signal of the consumer terminal, de-identifies it to give an anonymous ID value, and at the same time extracts feature points on the consumer's face and de-identifies to obtain anonymous floor information. An intelligent small business support service providing system, characterized in that the anonymous floor information is transmitted to the intelligent small business support service providing server together with the store identifier.
Each of the anonymous information collectors or small business terminals connected to the communication through the network is identified, and after receiving and delivering the space-based big data in the anonymous state collected in the unidentified anonymous state from the anonymous information collector, the space-based commercial zone or location An interface unit for receiving information and transmitting it to the small business terminal;
A big data processing unit for storing and managing the space-based big data in an anonymous state transmitted from the interface unit in a database for each store;
An information analysis unit for analyzing the floating population or movement patterns, customer layers, purchase patterns, and spaces in an anonymous state according to the space-based big data in an anonymous state stored and managed by the big data processing unit; And
Mapping information about the floating population or movement patterns, customer bases, and purchase patterns in the anonymous state analyzed by the information analysis unit with information about the space in the anonymous state analyzed by the information analysis unit, thereby providing space-based commercial or location information. An intelligent small business support service providing server including a service information deriving unit for deriving and delivering the information to the interface unit.
An anonymous information collector collecting space-based big data in a non-identified anonymous state;
An intelligent small business support service providing server analyzes the anonymous floating population or movement patterns, customers, purchasing patterns and spaces according to the anonymous space-based big data collected by the anonymous information collector, and analyzes the analyzed anonymous floating population or Mapping the information on the movement pattern, the customer base, and the purchase pattern with the information on the space in an anonymous state to derive space-based commercial or location information;
The database delivers information on space-based big data in an anonymous state, floating population or movement pattern in an anonymous state, customer, purchase pattern and space, mapping information, space-based commercial or location information from the intelligent small business support service providing server. Receiving the database and registering it; And
A method for providing an intelligent small business support service, comprising the step of providing a small business owner with space-based commercial area or location information derived from the intelligent small business support service providing server.

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