KR20220039683A - Method for providing a consumer participation purchase request service - Google Patents

Abstract

According to one aspect of the present disclosure, provided is a method for providing a shopping service of a consumer participating type based on big data, which is provided by an online shopping system. The method of the present invention comprises the steps of: analyzing image data including a human subject and a specific product in an image, classifying a posture of the human subject for the specific product, and storing the posture for the specific product and predetermined related data in association with each other to generate a styling posture database; selecting and transmitting a predetermined posture on the basis of the styling posture database with respect to a product included in the same classification as that of the specific product; and receiving a group purchaser request to transmit the same to other users selected in accordance with a predetermined criterion. Therefore, a product sale can be improved.

Description

Method for providing a consumer participation purchase request service

The present invention relates to a method and apparatus for providing a big data-based consumer participatory online shopping platform, and more particularly, it is a community platform where people gather and react beyond the scope of a shopping mall that simply sells goods, and create a culture, and maximize sales. It is related to a service platform that can induce purchase and easy payment by using profit-sharing SNS commerce through big data analysis.

The proportion of online shopping is growing exponentially. Domestic online editing?? Online editing based on sales of top 4 companies?? The data for forecasting the market size, excluding 89.7% of sales of institutional brands and beauty brands, the niche market market, which is a small business brand market, is predicted to account for 10%. is expected to

Based on the 4th industrial revolution technology, the existing online mall contents centered on text and images are being replaced with multimedia contents such as videos. With the development of real-time live broadcasting technology, the appearance of celebrities and Wang Hong at the boundary between ordinary people and celebrities is emerging as an important factor in sales. However, the existing home shopping system was very unreasonable as broadcasting costs were very high and most of the profits were taken from home shopping companies. Also, in the existing market, like home shopping, there is a method in which a show host set in a studio sells a specific product through TV. There was a problem that there was little profit and the structure was dominated by home shopping companies.

Korean fashion is becoming the center of global fashion trends. Following K-Pop and K-Drama, the global interest in Hallyu is increasing, from K-beauty to K-beauty, and accordingly, interest in K-fashion is increasing. Dongdaemun Market, where the core structure of the fashion industry from planning to production to distribution is gathered, is a special fashion economy zone, which is rare in the world.

51% of domestic fashion businesses depend on large online distribution networks such as home shopping, and large home shopping companies' excessive sales commissions (up to 54.4%), unavoidable double fees that must be paid in advance regardless of sales performance, and rising rents every year Due to the maintenance cost, the business operation is difficult. The government also recognized this seriousness and warned against the fraudulent activities of large-scale home shopping, but the reality is not improving. There is even a P2P loan dedicated to home shopping operators, and the vicious cycle is repeating, making it more difficult for fashion small business owners due to high interest rates. Since most of the small business owners in the Dongdaemun fashion industry have been offline-based, it is difficult to directly produce effective marketing materials without knowing how to approach the online market. situation.

Accordingly, there is a growing demand for a fashion commerce platform where fashion operators, consumers, and influencers interact with each other based on lower fees and reasonable profit distribution.

The disclosed invention has been devised to solve the above problems, and can provide a new type of commerce service completely different from the conventional fashion commerce service, and a platform for providing the commerce service, a platform service system, a platform service method, etc. can support or provide.

According to the present disclosure, a fashion business operator, a consumer, and an influencer can interact with each other based on a low fee and reasonable profit distribution.

According to one feature of the present disclosure, there is provided a method of providing a big data-based consumer participatory shopping service provided by an online shopping system. The method analyzes image data including a human subject and a specific product in the image, classifies the pose of the human subject with respect to the specific product, and stores the pose for the specific product in association with predetermined related data for styling creating a pose database; for a product belonging to the same category as the specific product, selecting and transmitting a predetermined pose based on the styling pose database; and receiving an application for purchase together and transmitting the application for purchase together to other users selected according to a predetermined criterion. may include

In an embodiment, the predetermined criterion may be one of a follower following a specific user, a user having a similar consumption pattern to the specific user, or an SNS registered friend of the specific user.

In one embodiment, the predetermined related data for the specific product includes the classification of the specific product, the sales volume of the specific product, the number of likes for image data including the specific product, the creator of the image data, and the It may include at least one of the modes.

According to another feature of the present disclosure, a method for providing a big data-based consumer participatory shopping service provided by an online shopping system and executed in a user terminal may be provided. The method includes: receiving the pose data from the online shopping system, overlapping and displaying the captured image on an image display area of a screen display unit of the user terminal; and receiving an application for purchase together from the screen display unit of the user terminal and transmitting the application for purchase together to other users selected according to a predetermined criterion; Including, the predetermined criterion may be one of a follower following a specific user, a user who has a similar consumption pattern to the specific user, or an SNS registered friend of the specific user.

According to the present disclosure, there is an effect that a general individual seller or a small and medium-sized business can effectively advertise and sell a product at a low cost.

According to the present disclosure, anyone can easily produce a broadcast as a show host, and by efficiently providing the broadcast produced in this way to a customer terminal, product sales can be improved.

According to the present disclosure, it is possible to provide a new marketing avenue for stable revenue generation of fashion small business operators.

According to the present disclosure, in a situation where there is no domestic video-based real-time consumer-connected commerce system, it is possible to provide the blue ocean market at the beginning stage of the real-time broadcasting purchase service market.

According to the present disclosure, in the 'real-time shopping purchase service market', it is possible to provide a system including a function for consumers to recruit other consumers rather than a simple purchase system.

According to the present disclosure, it is possible to provide a fair marketing service that can respond to a distribution channel that takes unfair profit for a fair economic ecosystem.

1 is a diagram schematically illustrating a system environment 100 in which a big data-based consumer participatory online shopping service can be implemented, according to an embodiment of the present disclosure.
FIG. 2 is a functional block diagram schematically illustrating a functional configuration of the service server 106 of FIG. 1 according to an embodiment of the present disclosure.
3 is a diagram illustrating an example of a screen configuration that may be presented on a screen display unit of the customer user terminal 102 of FIG. 1 according to an embodiment of the present disclosure.
4 is a flowchart of a method of providing a styling guide to a customer user terminal 102 in the server 106 of FIG. 1 according to an embodiment of the present disclosure.
FIG. 5 is a diagram illustrating an example of a screen configuration that may be presented on a screen display unit of the customer user terminal 102 of FIG. 1 according to an embodiment of the present disclosure.
6 is a flowchart of a method of providing a purchase function from the server 106 of FIG. 1 to the customer user terminal 102 according to an embodiment of the present disclosure.

Hereinafter, embodiments of the present disclosure will be described in detail with reference to the accompanying drawings. Hereinafter, when it is determined that there is a risk of unnecessarily obscuring the subject matter of the present disclosure, detailed descriptions of already known functions and configurations will be omitted. In addition, it should be understood that the contents described below are only related to one embodiment of the present disclosure, and the present disclosure is not limited thereto.

The terms used in the present disclosure are only used to describe specific embodiments and are not intended to limit the present disclosure. For example, an element expressed in a singular should be understood as a concept including a plurality of elements unless the context clearly means only the singular. It should be understood that the term "and/or" as used in this disclosure is intended to encompass any and all possible combinations by one or more of the listed items. Terms such as 'comprise' or 'have' used in the present disclosure are only intended to designate that the features, numbers, steps, operations, components, parts, or combinations thereof described in the present disclosure exist, and the terms It is not intended to exclude the possibility of addition or existence of one or more other features or numbers, steps, operations, components, parts, or combinations thereof.

In an embodiment of the present disclosure, a 'module' or 'unit' means a functional part that performs at least one function or operation, and may be implemented as hardware or software, or a combination of hardware and software. In addition, the plurality of 'modules' or 'units' may be integrated into at least one software module and implemented by at least one processor, except for 'modules' or 'units' that need to be implemented with specific hardware. there is.

Hereinafter, with reference to the accompanying drawings, an embodiment of the present disclosure will be described in detail.

1 is a diagram schematically illustrating a system environment 100 in which a big data-based consumer participatory online shopping service can be implemented, according to an embodiment of the present disclosure. As shown, the system environment 100 includes a plurality of customer user terminals 102 , a communication network 104 , and a service server 106 .

According to an embodiment of the present disclosure, each of the plurality of customer user terminals 102 may be any user electronic device having an online shopping function through wired or wireless communication. It should be noted that each of the customer user terminals 102 may be, for example, various wired or wireless communication terminals including, but not limited to, a smart phone, a tablet PC, a desktop, a laptop, a PDA, a digital TV, and the like. According to an embodiment of the present disclosure, each of the customer user terminals 102 may have a predetermined display device.

According to an embodiment of the present disclosure, each of the customer user terminals 102 may communicate with the service server 106 through the communication network 104 , that is, transmit/receive necessary information. According to an embodiment of the present disclosure, each of the customer user terminals 102 may receive, for example, a customer user input from the outside. According to an embodiment of the present disclosure, each of the customer user terminals 102 , obtained through communication with the service server 106 through the communication network 104 , results in an operation corresponding to the above customer user input (eg, a specific request response). provision and/or performance of a specific task) to the corresponding customer user. According to an embodiment of the present disclosure, the service server 106 may be, for example, an online shopping server, and the customer user terminal 102 may be, for example, a communication terminal of a customer accessing an online shopping server.

According to an embodiment of the present disclosure, each of the customer user terminals 102 may perform online shopping through the communication network 104 and the service server 106 . According to an embodiment of the present disclosure, through the communication network 104 and the service server 106, each of the customer user terminals 102 may send and receive a request and a response necessary for shopping.

According to an embodiment of the present disclosure, the communication network 104 may include any wired or wireless communication network, for example, a TCP/IP communication network. According to an embodiment of the present disclosure, the communication network 104 may include, for example, a Wi-Fi network, a LAN network, a WAN network, an Internet network, and the like, but the present disclosure is not limited thereto. According to an embodiment of the present disclosure, the communication network 104 is, for example, Ethernet, GSM, EDGE (Enhanced Data GSM Environment), CDMA, TDMA, OFDM, Bluetooth, VoIP, Wi-MAX, Wibro and any other various wired or wireless wired or wireless It can be implemented using a communication protocol.

According to an embodiment of the present disclosure, the service server 106 may communicate with the customer user terminal 102 according to a predetermined wired or wireless communication method. According to an embodiment of the present disclosure, the service server 106 may receive various inputs from the customer user terminal 102 .

According to an embodiment of the present disclosure, the service server 160 may provide a consumer participatory online shopping service based on big data. According to an embodiment, the service server 160 may collect and manage influencer data. An influencer is an influential person among users, and the influencer data may mean data related to the influencer. For example, influencer data includes the influencer's name, nickname, location where the influencer resides, photos and videos uploaded by the influencer, the places the influencer has visited, the products clicked by the influencer, and purchases. It may include information about a product, a product to be sold, or a product you like. In an embodiment, the data of the influencer may include information related to a cost to be paid to the influencer. For example, the amount to be distributed to the influencer, the distribution ratio, and an advertisement list accepted by the influencer to be connected to the influencer and advertised may be included. According to an embodiment, the service server 160 may provide product information, etc. together with the influencer's shopping list to the user based on the influencer's data.

According to an embodiment of the present disclosure, the service server 160 may build a styling pose database. In one embodiment, the styling pose database analyzes image data including a human subject and a specific product, classifies the pose of the human subject for the specific product, and stores the pose for the specific product in association with predetermined related data. It is a database that The service server 160 may classify the captured image by deep learning image analysis of a neural network algorithm and store the related data in the styling pose database. Since those skilled in the art are well aware of various methods for classifying images, the method for classifying images will be omitted below.

According to an embodiment of the present disclosure, the service server 160 may help a user to take a picture or a video. In one embodiment, the service server 160 may expose a shooting guide so that the user can use it to take a picture when the user takes and uploads a photo or video when writing a styling post. In an embodiment, the shooting guide is a function displayed by overlapping a pose that a user can take on a captured image. In an embodiment, the shooting guide may provide a plurality of modes, which may include a normal mode, a dancing mode, and a with friend mode. In an embodiment, in the normal mode, poses that can be taken when taking a still image are displayed by overlapping the captured image, and an upright posture, a V-shaped posture, a posture with a hand extended, and the like may be displayed. In an embodiment, the dancing mode is displayed by overlapping the captured image so that the user can dance along with the dancer, and may be mainly used when shooting a video. According to an embodiment, the mode with friend displays at least two subjects to be included in the same frame, and may display a shoulder-to-shoulder posture, a hugging posture, and the like. According to an embodiment of the present disclosure, the service server 160 may present a pose according to a mode input by the user or according to an arbitrarily selected mode. In an embodiment, the presented pose may be arbitrarily selected or may be suggested according to the classification of the captured image by deep learning image analysis of a neural network algorithm. In an embodiment, the service server 160 may classify products in the captured image and suggest poses used for products with the highest sales in the classified product group. For example, the service server 160 may identify that the product in the photographed image is a bag and present the pose of the seller used for the bag with the highest sales among the images classified into the bag group by overlapping the photographed image. Since those skilled in the art are well aware of various methods for classifying images, the method for classifying images will be omitted below.

According to an embodiment of the present disclosure, when a specific user applies for a purchase together with respect to a product to be sold, the service server 160 allows other users to view the purchase application posted by the specific user and select and purchase together as necessary. can do. According to an embodiment of the present disclosure, when a specific user applies for a purchase together with respect to a product to be sold, the service server 160 allows other users to view the purchase application posted by the specific user and select and purchase together as necessary. functions can be managed. In an embodiment, the service server 160 may allow a specific user to share a purchase application with other users selected according to a predetermined criterion while making a purchase application together. In one embodiment, the predetermined criterion may be people following a particular user. In an embodiment, the predetermined criterion may be a user having a similar consumption pattern to a specific user. In an embodiment, the predetermined criterion may be a user registered as a friend of a specific user's SNS messenger.

FIG. 2 is a functional block diagram schematically illustrating a functional configuration of the service server 106 of FIG. 1 according to an embodiment of the present disclosure.

As shown, the service server 106 includes an influencer data management unit 202 , a styling guide unit 204 , a purchase management unit 206 , and a communication unit 208 .

According to an embodiment of the present disclosure, the influencer data management unit 202 may manage influencer data. In an embodiment, the influencer is an influential person among users, and data of the influencer may mean data related to the influencer. For example, influencer data includes the influencer's name, nickname, location where the influencer resides, photos and videos uploaded by the influencer, the places the influencer has visited, the products clicked by the influencer, and purchases. It may include information about a product, a product to be sold, or a product you like. In an embodiment, the data of the influencer may include information related to a cost to be paid to the influencer. For example, it may include an amount to be distributed to the influencer, a distribution ratio, and a list of advertisements accepted by the influencer.

According to an embodiment of the present disclosure, the styling guide unit 204 may expose the shooting guide so that the user can utilize it for shooting when the user takes and uploads a photo or video when writing a styling post. In an embodiment, the photographing guide may display a pose that the user can take by overlapping the photographed image. In an embodiment, the shooting guide may provide a plurality of modes, which may include a normal mode, a dancing mode, and a with friend mode. In an embodiment, in the normal mode, poses that can be taken when taking a still image are displayed by overlapping the captured image, and an upright posture, a V-shaped posture, a posture with a hand extended, and the like may be displayed. In an embodiment, the dancing mode is displayed by overlapping the captured image so that the user can dance along with the dancer, and may be mainly used when shooting a video. According to an embodiment, the mode with friend displays at least two subjects to be included in the same frame, and may display a shoulder-to-shoulder posture, a hugging posture, and the like. According to an embodiment of the present disclosure, the styling guide unit 204 may present a pose according to a mode input by the user or according to an arbitrarily selected mode. In an embodiment, the presented pose may be arbitrarily selected or may be suggested according to the classification of the captured image by deep learning image analysis of a neural network algorithm. In an embodiment, the styling guide unit 204 may classify products in the captured image and suggest poses used for products with the highest sales in the classified product group. For example, the styling guide unit 204 may identify the product in the photographed image as a bag, classify the image into bag groups, and present the seller's pose used for the bag with the highest sales by overlapping it over the photographed image.

According to an embodiment of the present disclosure, when a specific user applies for a purchase together with respect to a product to be sold, the purchase together management unit 206 sees the purchase application posted by the specific user and selects and purchases together as necessary. You can manage the functions that make it happen. In an embodiment, the purchase together management unit 206 may allow a specific user to share a purchase application with other users selected according to a predetermined criterion while making a purchase application together. In one embodiment, the predetermined criterion may be people following a particular user. In an embodiment, the predetermined criterion may be a user having a similar consumption pattern to a specific user. In an embodiment, the predetermined criterion may be a user registered as a friend of a specific user's SNS messenger.

According to an embodiment of the present disclosure, the communication unit 208 enables the server 106 to communicate with each of the customer user terminals 102 through the communication network 106 of FIG. 1 . According to an embodiment of the present disclosure, the communication unit 206, the user input signal received from the customer user terminal 102, and the influencer data management unit 202, the styling guide unit 204 from the user input signal, etc. , one or more dialogue responses generated by the purchase management unit 206 and various analysis results may be transmitted to the customer user terminal 102 according to a predetermined protocol.

FIG. 3 is a diagram illustrating an example of a screen configuration that may be presented on a screen display unit of the customer user terminal 102 of FIG. 1 according to an embodiment of the present disclosure.

As shown, if the sharing styling button 301 is clicked, the screen display unit of the customer user terminal 102 may be changed so that a photo or video may be taken. In an embodiment, an image being captured may be displayed in the image display area 303 of the screen display unit of the customer user terminal 102 . In one embodiment, the mode selection area 305 may provide at least one mode in which to play. For example, the mode selection area 305 may include a normal mode, a dancing mode, and a mode with a friend, and a mode selected by the user according to a mode inputted by the user or an arbitrarily selected mode. You can present a pose that corresponds to .

As shown, in the normal mode (Normal: 307), poses that can be taken when taking a still image are displayed by overlapping the captured image, and an upright posture, a V posture, a posture with a hand extended, and the like can be displayed. In one embodiment, in the dancing mode (Dancing: 309), the overlapping image may be displayed so that the user can dance along with the dancer, and may be mainly used when shooting a video. According to an embodiment, in the mode with Friend 311 , at least two subjects may be displayed to be included in the same frame, and a posture of sharing shoulders, a posture of hugging each other, and the like may be displayed.

According to an embodiment of the present disclosure, a pose to be presented may be arbitrarily selected or may be proposed according to classification of a captured image by deep learning image analysis of a neural network algorithm. In an embodiment, it is possible to classify products in the captured image and suggest poses used for products with the highest sales in the classified product group. For example, after identifying that the product in the photographed image is a bag and classifying the image into bag groups, the seller's pose used for the bag with the highest sales may be presented by overlapping the photographed image.

4 is a flowchart of a method of providing a styling guide to a customer user terminal 102 in the server 106 of FIG. 1 according to an embodiment of the present disclosure.

First, in step 401, an input is received from a user. In one embodiment, the input from the user may be an input requesting sharing of styling. Next, in step 403, a mode selection input is received from the user. In an embodiment, the mode selection input from the user may be a normal mode, a dancing mode, or a mode with friend, but is not limited thereto. When there is no mode selection input from the user, a predetermined mode, for example, a normal mode may be set.

In step 405 , a predetermined pose may be displayed by overlapping the captured image in the image display area 303 of the screen display unit of the customer user terminal 102 according to the set mode. In an embodiment, the predetermined pose may be a pose arbitrarily selected from among poses stored in association with a set mode. In another embodiment, a predetermined pose may be suggested by classifying a captured image by deep learning image analysis of a neural network algorithm. In an embodiment, it is possible to classify products in the captured image and suggest poses used for products with the highest sales in the classified product group. For example, after identifying that the product in the photographed image is a bag and classifying the image into bag groups, the seller's pose used for the bag with the highest sales may be presented by overlapping the photographed image.

FIG. 5 is a diagram illustrating an example of a screen configuration that may be presented on a screen display unit of the customer user terminal 102 of FIG. 1 according to an embodiment of the present disclosure.

As shown, if the purchase button 501 is clicked, a list of products or products that can be purchased may be displayed on the screen display unit of the customer user terminal 102 . In an embodiment, when the invite button 503 for a specific product is clicked, a list of users to be invited may be displayed. In an embodiment, if the invite button 503 for a specific product is clicked, a purchase application can be shared with other users selected according to a predetermined criterion. In one embodiment, the predetermined criterion may be users who are likely to purchase the product, for example, the predetermined criterion may be people following the particular user. In an embodiment, the predetermined criterion may be a user having a similar consumption pattern to a specific user. In an embodiment, the predetermined criterion may be a user registered as a friend of a specific user's SNS messenger.

As shown, the number of matches to transmit a purchase request (invitation) may be input ( 511 ). In one embodiment, the greater the number of users matched, the greater the benefit may be.

6 is a flowchart of a method of providing a purchase function to the customer user terminal 102 in the server 106 of FIG. 1 according to an embodiment of the present disclosure.

First, in step 601, an input is received from a user. In an embodiment, the input from the user may be an input for requesting a purchase together. When a purchase request is input, a list of products or products that can be purchased may be displayed on the screen display unit of the customer user terminal 102 . Next, in step 603, a product input is received from the user.

Next, in step 605, when receiving an invitation input for a specific product, a list of users to invite may be shown. In an embodiment, upon receiving an invitation input for a specific product, a purchase application may be shared with other users selected according to a predetermined criterion. In one embodiment, the predetermined criterion may be users who are likely to purchase the product, for example, the predetermined criterion may be people following the particular user. In an embodiment, the predetermined criterion may be a user having a similar consumption pattern to a specific user. In an embodiment, the predetermined criterion may be a user registered as a friend of a specific user's SNS messenger.

Next, in step 607, a group purchase request may be transmitted by selecting a user to be invited for a specific product. After transmission, it can wait for matching from other users.

Optionally, in step 609, the number of responses (matches) from other users who have invited to purchase together may be input. In one embodiment, the greater the number of users matched, the greater the benefit may be.

As will be apparent to those skilled in the art, the present invention is not limited to the examples described in the present disclosure, and various modifications, reconstructions and substitutions may be made without departing from the scope of the present disclosure. It should be understood that the various techniques described herein may be implemented by hardware or software, or a combination of hardware and software.

102: customer user terminal
104: communication network
106: server

Claims (4)

As a method of providing a consumer participation type purchase request service provided by an online shopping system,
By analyzing image data including a subject of a person and a specific product in the image, the pose of the subject of the person for the specific product is classified and stored in association with the pose for the specific product and predetermined related data to be stored in a styling pose database creating a;
for a product belonging to the same category as the specific product, selecting and transmitting a predetermined pose based on the styling pose database; and
receiving an application for purchase together and transmitting the application for purchase together with other users selected according to a predetermined criterion;
A method of providing a consumer participatory purchase request service comprising a. The method of claim 1,
The predetermined criterion is a follower following a specific user, a user who has a similar consumption pattern to the specific user, or one of a specific user's SNS registered friend. The method of claim 1,
The predetermined related data for the specific product includes at least one of the classification of the specific product, the sales volume of the specific product, the number of likes for image data including the specific product, the creator of the image data, and the mode of the image data. A method of providing a consumer participatory purchase request service that includes. A method for providing a big data-based consumer participatory shopping service provided by an online shopping system and executed in a user terminal, the method comprising:
receiving the pose data from the online shopping system, overlapping and displaying the captured image on an image display area of a screen display unit of the user terminal; and
receiving an application for purchase together from the screen display unit of the user terminal and transmitting the application for purchase together to other users selected according to a predetermined criterion;
The predetermined criterion is a follower who follows a specific user, a user who has a similar consumption pattern to the specific user, or one of a specific user's SNS registered friend.

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