KR102206078B1 - Method, apparatus and recording medium for operating selling platform investment service - Google Patents

Abstract

The present invention relates to a selling platform investment service operating server for sharing sales revenue with an investor and providing a predicted product sales volume. The server includes: an assignment unit connecting a product seller to a supplier supplying a product for platform-based selling and assigning airtime for the seller to sell the product; a storage unit storing product information on the product sold via broadcasting based on the assignment, seller information on the seller selling the product via the broadcasting, and broadcasting information on the assigned airtime; an investment information processing unit providing investment condition information on the broadcasting for an investor in association with the product information, the seller information, and the broadcasting information; an investment request processing unit receiving the input of investment request information for broadcasting designation and investment amount setting from the investor before the airtime and determining the stake of the investor in the revenue from the product based on the investment amount; and a settlement processing unit remitting, to the dedicated account of the investor, the investment amount-included settlement amount and the investment revenue of the investor based on the determined stake and constituting the total sales revenue from the product sold via the broadcasting.

Description

Selling platform investment service operation server, selling platform investment service operation method, and recording medium for this {METHOD, APPARATUS AND RECORDING MEDIUM FOR OPERATING SELLING PLATFORM INVESTMENT SERVICE}

The present invention is an investment in a selling platform that connects investors for broadcasting conducted by sellers on an influencer marketing platform, so that the investor has a stake in broadcasting revenue through investment funds, while lowering the unit price of the products supplied by the supplier through investment fund financing. It relates to a server operating a service and a method of operating a selling platform investment service.

Recently, as the influence of advertisements, home shopping, and TV programs through TV, which is an existing video medium, has decreased due to the development of Internet platforms, many services have entered the new commerce market based on Internet platforms such as mobile/SNS, which is currently in the spotlight. have.

Accordingly, existing product manufacturers have promoted and sold products using advertisements through TV or home shopping, but recently, users who are influencers who have influence across the Internet platform simultaneously perform the purpose of advertising and selling products. A selling platform service is emerging that provides the ability to advertise and sell products by becoming a seller and connecting manufacturers that provide products to such sellers.

Referring to FIG. 1, the selling platform service connects a supplier and a seller, and the seller can broadcast a product to sell a product provided by the supplier. In addition, buyers can watch sellers' broadcasts and purchase products they like.

At this time, the unit price at which the supplier that manufactures or distributes the product supplies the product to the platform or seller is an important factor in determining the final product price. In general, the unit price is lower as the supply quantity of manufacturing, etc. is requested in large quantities, so the more capital is administered to the supplier, the lower the supply unit price of the supplier.

In this way, if larger capital is administered to the supplier and the supply unit price can be reduced, the buyer can purchase products at a lower price, and the platform operator can also have price competitiveness compared to competitors.

The present invention provides a share of product sales revenue as an investment target for broadcasting for product sales, so that the sales profit can be shared with investors, and as an investment determination index, a selling platform investment that can predict and provide the product sales volume of the broadcasting We want to provide a service operation server.

However, the technical problems to be achieved by the embodiments of the present invention are not limited to the above-mentioned problems, and various technical problems may be derived from the contents to be described below within a range that is obvious to a person skilled in the art.

The selling platform investment service operation server according to an embodiment of the present invention connects a supplier who supplies a product to be sold through the platform with a seller who will sell the product, and allocates a broadcast time for the seller to sell the product, A storage unit that stores product information on products sold in a broadcast based on allocation, seller information on sellers who sell products through broadcasting, and broadcast information on the allocated broadcast time of the broadcast, and information on investment conditions for broadcasting. Investment information processing unit provided to investors in connection with product information, seller information, and broadcast information, receives investment application information that designated a broadcast from the investor before the broadcast time and set the investment amount, and calculates the return from the product based on the investment amount. The investment application processing unit that determines the investor's stake in Korea, and the settlement amount including the investor's investment income and investment amount calculated on the basis of the determined share among the total sales income of products sold through broadcasting are transferred to the investor's dedicated account. It may include a settlement processing unit.

In the selling platform investment service operation server according to an embodiment of the present invention, when predetermined product information, predetermined seller information, and predetermined broadcast information are input, a predetermined seller sells a predetermined product at a broadcast time corresponding to the predetermined broadcast information. Further comprising a sales volume prediction unit including a neural network model learned through a predetermined machine learning algorithm to predict the sales per hour of a predetermined product for the case, wherein the allocation unit is when the seller sells the product for a plurality of broadcast times On the basis of the hourly sales volume predicted by the sales volume prediction unit, a broadcast time for selling a product may be allocated to a time predicted that the predicted hourly sales volume is high among a plurality of broadcast times.

The method of operating a selling platform investment service according to an embodiment of the present invention includes the steps of connecting a supplier that supplies a product to be sold through the platform with a seller who will sell the product, and allocating a broadcast time for the seller to sell the product. Storing product information on products sold in a broadcast based on broadcast, seller information on sellers selling products through broadcast, and broadcast information on the assigned broadcast time of the broadcast, and information on investment conditions for broadcast product information , Investment information step provided to the investor in connection with seller information and broadcasting information, the investor designates the broadcast before the broadcast time and receives the investment application information that sets the investment amount, receives the investment amount from the investor, and is based on the investment amount The step of determining the investor's share of the profit from the product, and the settlement amount including the investor's investment income amount and investment amount calculated based on the determined share among the total sales profit of the product sold through broadcasting And remittance to the linked account.

According to an embodiment of the present invention, since the share of product sales profit through broadcasting is provided as an investment object, the product sales profit is guaranteed as the investor's investment profit, so that the investment profit can be quickly repaid to the investor.

In addition, by allowing the operator of the selling platform investment service to invest in the supplier by operating the investment amount provided from the investor, it is possible to lower the cost of supplying the product of the supplier. Accordingly, the final selling price of the product is lowered, so that better products can be provided to buyers at a reasonable price.

In addition, since investment is made in a plurality of broadcasts conducted at different times, the risk that investors cannot recover the investment amount may be reduced.

In addition, by predicting and providing the amount of product sales in the broadcast to investors, it can be used by investors as an investment judgment index and can inspire investors to invest.

1 is a diagram showing the configuration of a selling platform system according to an embodiment.
2 is a configuration diagram of a selling platform investment service operating system according to an embodiment.
3 is a configuration diagram of a selling platform server according to an embodiment.
4 is an example of a machine learning-based neural network model for predicting hourly sales from product information, seller information, and broadcast information according to an embodiment.
5 is a diagram illustrating an hourly sales volume predicted by a sales volume prediction unit according to an embodiment.
6 is a diagram illustrating an hourly sales volume predicted by a sales volume prediction unit according to an exemplary embodiment.
7 is a diagram illustrating a broadcast schedule provided to an investor according to an embodiment.
8 is a diagram illustrating a page for receiving an investment application from an investor according to an embodiment.
9 is a diagram illustrating a structure of a stake in product sales revenue according to an embodiment.
10 is a block diagram of an investor terminal according to an embodiment.
11 is a flowchart illustrating a method of operating a selling platform investment service by a selling platform device according to an embodiment.

Advantages and features of the present invention, and a method of achieving them will become apparent with reference to the embodiments described below in detail together with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various forms, and only these embodiments are intended to complete the disclosure of the present invention, and those of ordinary skill in the art to which the present invention pertains. It is provided to completely inform the scope of the invention, and the scope of the invention is only defined by the claims.

In describing the embodiments of the present invention, detailed descriptions of known functions or configurations will be omitted except when actually necessary in describing the embodiments of the present invention. In addition, terms to be described later are terms defined in consideration of functions in an embodiment of the present invention, which may vary according to the intention or custom of users or operators. Therefore, the definition should be made based on the contents throughout this specification.

The functional blocks shown in the drawings and described below are only examples of possible implementations. In other implementations, other functional blocks may be used without departing from the spirit and scope of the detailed description. Also, although one or more functional blocks of the present invention are represented as individual blocks, one or more of the functional blocks of the present invention may be a combination of various hardware and software configurations that perform the same function.

In addition, the expression of including certain constituent elements is an open expression and simply refers to the existence of the constituent elements, and should not be understood as excluding additional constituent elements.

Further, when a component is connected to or is referred to as being connected to another component, it should be understood that it may be directly connected or connected to the other component, but other components may exist in the middle.

In addition, expressions such as'first, second', etc. are used only for distinguishing a plurality of elements, and do not limit the order or other features between the elements.

Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings.

1 is a diagram showing the configuration of a selling platform system according to an embodiment.

1, a selling platform system 10 according to an embodiment includes a selling platform server 100, a supplier terminal 200, a seller terminal 300, an SNS platform server 400, and a buyer terminal 500. Can include. Each component constituting the system 10 may be connected by wire or wirelessly, and data transmission/reception may occur between the components based on this.

The selling platform server 100 becomes a seller in which users who are influencers who have influence in the SNS platform simultaneously perform the purpose of advertising and selling products, and advertises and sells products by connecting suppliers that provide products to such sellers. It is a server that manages the selling platform service that provides functions that can be done. The selling platform server 100 provides a selling platform investment service that enables an investor to take part of the product sales profit as an investment return for a broadcast conducted by a seller to sell a product. In addition, when a seller conducts a broadcast and sells a product, the selling platform server 100 may perform machine learning by collecting product sales result data of the seller after broadcasting, and selecting meaningful data based on the collected data. . Accordingly, it is possible to generate a model for predicting sales per hour by learning the correlation between sellers, products, and broadcast times and sales per hour.

The supplier terminal 200 is a terminal used by a supplier participating in the selling platform service. Suppliers may include entities that manufacture or distribute specific products. The supplier terminal 200 may transmit information related to a supplier and information related to a product to be sold through the platform to the selling platform server 100 in order to use the selling platform service. The information related to the supplier includes information for identifying the supplier, and may include at least one of a supplier's business name, business number, address, contact information, product name to be distributed or manufactured, and linked account information. In addition, the information related to the supplier includes the product group the supplier manufactures, whether the product has intellectual property rights, whether the product has been opened, whether the product is certified, whether or not the product price is adjusted, the main age group of the product, and the main use of the product. It may include information on at least one item among gender, the season of use of the product (seasonality), whether the product is in vogue, the number of mass production of the product, the presence or absence of a production plant for the product, and the amount of money that can be put into the product. Product-related information includes information necessary for the sale of products to be sold through the platform, product name, product type, product category, product picture, product description, product price, product-specific options, product delivery information, Supplier information and information on at least one item of the total supply quantity of products that can be supplied by the supplier may be included. The supplier may have sellers or platform operators participating in the selling platform service sell their products, or may participate in the platform service and sell their products directly.

The seller terminal 300 is a terminal used by a seller participating in the selling platform service. Sellers include entities that sell the supplier's products. A seller may include an influencer who has a large number of followers or friends on external SNS platform services (eg, Facebook, YouTube, Instagram, Twitter, Naver blog, etc.). The seller terminal 300 may subscribe to the selling platform service by transmitting information related to the seller to the selling platform server 100. Seller-related information includes information about the SNS platform service used by the seller, information about a predetermined SNS account authenticated by the seller, the type of content uploaded to the SNS platform service, the number of content uploaded to the SNS platform service, and the number of followers or friends. , Information related to the age group of a follower or friend, gender of a follower or friend, and connection account information may be included. Sellers sell products through the selling platform service and sell sales information (average number of broadcasts, number of followers, maximum number of broadcasts, sales rate versus broadcast time, broadcast participation rate versus number of followers, broadcast sales price, broadcast sales amount, broadcast order volume, actual purchase rate, Viewer broadcast ratings, etc.) can be counted. Sellers are assigned products from suppliers participating in the selling platform service, conduct broadcasts to advertise and sell products through their SNS platform service or selling platform service, and allow those who have watched the advertisement to purchase the product. I can. To this end, the seller may transmit a broadcast request to the SNS platform server 400 or the selling platform server 100 using the seller terminal 300 so as to transmit a broadcast for advertisement and sale of a product. The broadcast request may include a broadcast start time and broadcast end time designated by the seller, a product designated to be sold through broadcast, and the like.

The SNS platform server 400 is a server that provides an online platform service that establishes a network of relationships between people who share a specific interest or activity. For example, the SNS platform server 400 may include a server that provides services such as Facebook, YouTube, Instagram, Twitter, and Naver blog, but is not limited to this example. The SNS platform server 400 may provide an interface through which a seller can broadcast a specific content, and an interface through which a follower or friends of the seller who follows the seller can watch the seller’s broadcast.

The purchaser terminal 500 is a terminal of a subject viewing content provided by a seller. The buyer may include a subject who purchases the supplier's product by viewing the product advertised by the seller. Buyers may purchase products by accessing a product purchase page provided through a broadcast conducted by a seller through an SNS platform service or a selling platform service.

The selling platform server 100, the supplier terminal 200, the seller terminal 300, the SNS platform server 400, and the purchaser terminal 500 may be implemented as various types of devices capable of transmitting and receiving information through a network. . For example, it may include a portable communication device (eg, a smart phone), a computer device, a portable multimedia device, a notebook computer, a tablet PC, and the like.

2 is a configuration diagram of a selling platform investment service operating system according to an embodiment.

Referring to FIG. 2, a selling platform investment service operating system according to an embodiment may include a selling platform server 100 and an investor terminal 600.

As shown in Figure 2, the investor provides the investment service provided by the selling platform server 100 by accessing the selling platform server 100 according to an embodiment of the present invention through a network using the investor terminal 600 I can receive it. In this specification, an investor refers to a person who makes an investment in order to share profits from product sales of a broadcast conducted for product sales on a selling platform.

The selling platform server 100 connects suppliers and sellers, allocates broadcast time so that sellers can sell products, and invests part of the profits from product sales for broadcasts conducted by sellers to sell products. It provides a selling platform investment service that allows you to take it with you. The selling platform server 100 may provide an investor with a stake in product sales based on the broadcast designation information and the investment amount received from the investor terminal 600.

The investor terminal 600 may subscribe to the selling platform investment service by transmitting information related to the investor to the selling platform server 100. Investors can subscribe to the Selling Platform Investment Service and receive a dedicated account for investment. Investors can deposit and deposit the amount of money they want to use for investment with the account number of the dedicated account, invest in broadcasting within the selling platform investment service as much as the deposited amount, and repay the proceeds and investment amount to the dedicated account. I can receive it.

The investor terminal 600 may access a web page of an investment service provided by the selling platform server 100 through a wired or wireless network, receive a list of broadcasts available for investment (broadcast schedule) and investment condition information, and display it to the user. In addition, the investor terminal 600 may select a broadcast and transmit designated broadcast designation information and an investment amount to be invested in the broadcast to the selling platform server 100 by receiving input from the investor.

The selling platform server 100 may settle the amount of profits for product sales after the broadcast ends, and may remit the investment amount and the amount of investment profits according to the stake to the investor to the investor's dedicated account.

3 is a configuration diagram of a selling platform server according to an embodiment.

The selling platform server 100 includes an allocation unit 110, a storage unit 120, a communication unit 130, a sales volume prediction unit 140, an investment information processing unit 150, an investment application processing unit 160, and a settlement processing unit 170. And it may include at least some or all of the investment amount management unit 180.

The allocating unit 110 connects a supplier who supplies a product to be sold through the platform with a seller who will sell the product, and allocates a broadcast time for the seller to sell the product. The allocation unit 110 may connect a plurality of sellers to a specific product of a supplier so as to sell a specific product of the supplier.

The allocation unit 110 may connect the supplier and the seller according to the supplier's request and/or the seller's product designation.

The allocation unit 110 may connect a supplier to the seller based on the seller's broadcast request and may determine a broadcast time of the seller. The allocation unit 110 may connect the seller with the supplier who supplies the product specified in the broadcast request of the seller, and determine the broadcast time specified in the broadcast request as the broadcast time of the seller.

The allocation unit 110 predicts that the predicted hourly sales volume is high among the plurality of broadcast hours, based on the hourly sales volume predicted by the sales volume prediction unit 140 when the seller sells the product for a plurality of broadcast times. You can allocate airtime to sell products by time. In this case, the allocation unit 110 may allocate the number of products to the seller based on the determined broadcast time and the predicted sales per hour.

The allocation unit 110 allocates a broadcasting time at which the sales volume most similar to the target sales volume is predicted based on the target sales volume input from the seller and the hourly sales volume predicted by the sales volume prediction unit 140 as the broadcasting time for the seller to sell the product. can do. The allocation unit 110 provides broadcast time recommendation information to the seller based on the target sales volume input from the seller and the hourly sales volume predicted by the sales volume prediction unit 140, receives a broadcast request specifying a broadcast time from the seller, and broadcasts Based on the request, you can allocate airtime for selling products.

The storage unit 120 stores product information, seller information, broadcast information, and sales volume information.

The product information is information on a product sold in a broadcast based on allocation, and the product information may include identification information of a product. In addition, the product information may include a product category, a product sale condition, and a product price discount condition.

The seller information is information on a seller who sells a product through broadcasting, and the seller information may include identification information of the seller. In addition, the seller information may include information about a predetermined SNS account authenticated by the seller, the number of followers or friends, the age group of the follower or friend, and information related to the sex of the follower or friend.

The broadcast information is information on a broadcast time of a broadcast allocated for product sales, and the broadcast information may include a broadcast start time and broadcast end time of a broadcast conducted by a seller to sell a product. In addition, the broadcast information may include information on a broadcast progress date, a broadcast weekday, and whether or not the broadcast progress date is a holiday.

The sales volume information refers to information on the sales volume of products during the broadcast.

When broadcasting starts, the storage unit 120 acquires and stores the broadcasting start time using the API of the Internet platform on which the seller has broadcast, and when the broadcasting ends, the broadcasting end time is acquired and broadcast using the API of the Internet platform. Can be saved as information.

The storage unit 120 may acquire the broadcast start time and broadcast end time specified by the seller included in the broadcast request transmitted by the seller to the SNS platform server or the selling platform server, and store them as broadcast information.

The storage unit 120 may receive and store the amount of product sales during the broadcast from the seller after the broadcast is terminated.

The storage unit 120 may acquire and store the amount of product sales during the broadcast from the product purchase page associated with the broadcast after the broadcast is terminated. The product purchase page is a web page provided through a broadcast, and may be a web page through which a purchase order for a product can be received during the broadcast time. The product purchase page may be a purchase page linked with identification information of a product, a seller, or a broadcast so as to identify a purchase through a broadcast.

The communication unit 130 may perform wired or wireless communication with the investor terminal 600. For example, the communication unit 25 transmits product information, seller information, broadcast information, and investment condition information to the investor terminal 600, and sends the investment application information specifying a broadcast and setting an investment amount from the investor terminal 600. Can receive.

When predetermined product information, predetermined seller information, and predetermined broadcast information are input, the sales volume prediction unit 140 provides a predetermined product for a case where a predetermined seller sells a predetermined product at a broadcast time corresponding to the predetermined broadcast information. It includes a neural network model trained through a predetermined machine learning algorithm to predict the hourly sales volume of.

The sales volume prediction unit 140 may receive seller information, product information, and broadcast information. The sales volume prediction unit 140 may receive a broadcast request transmitted from a seller, and may receive arbitrarily set information from the selling platform server 100. The sales amount predictor 140 may output predicted hourly sales amount information for a case where a certain seller sells a certain product during a certain broadcasting time through a neural network model trained to derive the hourly sales amount. Through this, the seller or the platform server may designate or allocate a time when the sales volume is predicted to be high by referring to the predicted hourly sales volume information output by the sales volume prediction unit 140 as a broadcast time.

The sales volume prediction unit 140 calculates the target achievement rate of the broadcast based on the actual product sales volume during the broadcast and the target sales volume preset by the seller, and calculates the product's hourly sales volume based on the actual product sales volume and broadcast information, Only product information, seller information, broadcast information, and hourly sales for broadcasts whose target achievement rate is greater than or equal to the reference value can be used as training data of the neural network model. The target sales volume may be preset by receiving input from the seller before the broadcast proceeds.

The sales volume predictor 140 may determine a broadcast time based on a broadcast start time and a broadcast end time, and calculate a product sales per hour based on the product sales volume and the broadcast time.

As described above, by reflecting only data having a target achievement rate above a certain level, it is possible to exclude cases in which product purchases have not occurred due to unexpected factors. For example, situations such as when the communication status of the seller terminal is unstable and the broadcast does not proceed smoothly during the broadcast time, when the product purchase page is not accessed due to a congestion of users, or when an order cannot be properly made due to a payment agency error, etc. The sales volume of products at is inappropriate as data for predicting sales volume. Therefore, in the present invention, in order to collect only meaningful data as learning data, a target sales amount for product sales is set, and the sales amount predictor 140 obtains information only when the target achievement rate according to the actual product sales amount is higher than a certain level. .

The neural network model of the sales volume prediction unit 140 is composed of a neural network including an input layer, a hidden layer, and an output layer, and is set to input product information, seller information, and broadcast information among training data to the input layer, and learn to the output layer. It is set to input the hourly sales amount among the data, and a correlation for deriving the hourly sales amount of the product to be sold by the seller during the broadcast time may be learned.

The sales volume prediction unit 140 is a predetermined machine that outputs an hourly sales volume for when a specific seller sells a specific product during a specific broadcasting time when a broadcasting time for selling a product is allocated by the allocation unit 110 It is possible to output a predicted hourly sales volume by inputting information about a product to be sold, information about a seller to be sold, and information about a broadcast to be sold assigned to the neural network model learned through the learning algorithm. The sales volume prediction unit 140 may generate a neural network model through the following method.

4 is an example of a machine learning-based neural network model for predicting hourly sales from product information, seller information, and broadcast information according to an embodiment.

Machine Learning (Machine Learning) refers to the field of defining various problems dealt with in the field of artificial intelligence and studying methodologies to solve them. Machine learning is also defined as an algorithm that improves the performance of a task through continuous experience.

An artificial neural network (ANN) is a model used in machine learning, and may refer to an overall model with problem-solving capabilities, which is composed of artificial neurons (nodes) that form a network by combining synapses. The artificial neural network may be defined by a connection pattern between neurons of different layers, a learning process for updating model parameters, and an activation function for generating an output value.

The artificial neural network may include an input layer, an output layer, and optionally one or more hidden layers. Each layer includes one or more neurons, and the artificial neural network may include neurons and synapses connecting neurons. In an artificial neural network, each neuron can output a function value of an activation function for input signals, weights, and biases input through synapses.

Model parameters refer to parameters determined through learning, and include weights of synaptic connections and biases of neurons. In addition, hyperparameters refer to parameters that must be set before learning in a machine learning algorithm, and include a learning rate, iteration count, mini-batch size, and initialization function.

The purpose of learning artificial neural networks can be seen as determining model parameters that minimize the loss function. The loss function can be used as an index to determine an optimal model parameter in the learning process of the artificial neural network.

Machine learning can be classified into supervised learning, unsupervised learning, and reinforcement learning according to the learning method.

Supervised learning refers to a method of training an artificial neural network when a label for training data is given, and a label indicates the correct answer (or result value) that the artificial neural network should infer when training data is input to the artificial neural network. It can mean. Unsupervised learning may refer to a method of training an artificial neural network in a state where a label for training data is not given. Reinforcement learning may mean a learning method in which an agent defined in a certain environment learns to select an action or action sequence that maximizes the cumulative reward in each state.

Among artificial neural networks, machine learning implemented as a deep neural network (DNN) including a plurality of hidden layers is sometimes called deep learning (deep learning), and deep learning is a part of machine learning. Hereinafter, machine learning may be used to include deep learning.

Referring to FIG. 4, the sales predictor 140 may train a neural network model using a deep learning algorithm among machine learning algorithms according to an embodiment, and the neural network model according to an embodiment includes an input layer, a hidden layer, and an output layer. It may be composed of a neural network including. The sales volume predictor 140 may set product information, seller information, and broadcast information obtained when the target achievement rate of broadcast is greater than or equal to the reference value as parameters of the input layer, and set the acquired sales per hour as a parameter of the output layer. have.

The sales forecasting unit 140 may generate a sales forecasting model by using the values of parameters of data acquired when the target achievement rate of broadcasting is greater than or equal to the reference value for learning. Accordingly, in the sales forecasting model, the target achievement rate of broadcasting is the reference value. In the above case, a correlation between the acquired product information, seller information, and broadcast information and sales per hour may be learned.

Accordingly, the sales volume prediction unit 140 is a sales volume prediction model that is trained to derive a correlation with the hourly sales volume of a predetermined product when a predetermined seller sells a predetermined product at a time corresponding to predetermined broadcast information. Can be created. When information related to a broadcast scheduled for product sales, for example, information corresponding to a parameter of an input layer, is input into the sales volume prediction model, the hourly sales amount for the broadcast scheduled for product sales may be output.

Meanwhile, the number of parameters and the number of hidden layers used for learning in FIG. 4 are examples only, and are not limited thereto. In addition to the deep learning algorithm, decision tree (DT), k-nearest neighbor (KNN), logistic regression (LR), and multilayer An appropriate algorithm can be selected and used according to the type or number of parameters to be used, such as perceptron (MLP), random forest (RF), support vector machine (SVM), and lasso.

The sales volume prediction unit 140 receives product information, seller information, and broadcast information for a plurality of broadcast times from the allocation unit 110, and the predicted hourly sales volume when the seller sells the product for a plurality of broadcast times. Can be predicted and provided to the allocation unit 110.

Accordingly, the allocating unit 110 may allocate a broadcast time for selling a product to a time predicted that the predicted sales volume per hour is high among the plurality of broadcast times. In addition, the allocation unit 110 determines the broadcast time for which the sales volume most similar to the target sales volume is predicted based on the target sales volume input from the seller and the hourly sales volume predicted by the sales volume prediction unit 140. Can be assigned as.

5 is a diagram illustrating an hourly sales volume predicted by a sales volume prediction unit according to an embodiment.

As illustrated in FIG. 5, the allocation unit 110 may transmit broadcast information on a plurality of broadcast times to the sales amount predictor 140 in order to sell products to sellers. The sales volume predictor 140 may output an estimated number of sales per minute for each broadcast time based on product information, seller information, and broadcast information for a plurality of broadcast times.

Accordingly, the allocation unit 110 may allocate a broadcast time from 20:30 to 21:30 with the highest sales volume per minute as a time when the seller sells the product. In addition, if the target sales volume inputted from the seller is 100, the allocation unit 110 calculates the estimated sales volume expected to be sold during the broadcast time based on the estimated sales volume per minute, and calculates the estimated sales volume most similar to the target sales volume. The broadcast time can be allocated as the time when the seller sells the product from 19:30-20:30 or 21:00-22:00.

Meanwhile, since the example illustrated in FIG. 5 is merely an example for convenience of description, it is reasonable that the example is not limited thereto.

The investment information processing unit 150 provides information on investment conditions for broadcasting to investors in connection with product information, seller information, and broadcasting information. The investment information processing unit 150 may link investment condition information, product information, seller information, and broadcast information for broadcasting to a web page of an investment service accessed by the investor terminal 500 in the form of a broadcast schedule.

Investment condition information includes at least one of the number of investors who can invest in each broadcast, the upper or lower limit of the investment amount of each investor, the upper or lower limit of the total investment amount, and the ratio allocated to the investor from the profit per sale of one product relative to the investment amount. Can include.

The investment information processing unit 150 is a ratio to be distributed to each entity with respect to the total sales profit of the product, in which the equity of the platform, the equity of the supplier, and the equity of the seller are pre-allocated. It is possible to set investment conditions to be allocated as investable shares, and generate investment condition information including investable shares and corresponding investment amounts per share.

The investment information processing unit 150 may further provide the investor with the estimated sales volume during the allocated broadcasting time based on the hourly sales volume predicted by the sales volume prediction unit 140 in case the seller sells the product at the allocated broadcasting time. have.

The investment information processing unit 150 may receive a target sales amount from a seller and further provide it to an investor.

The investment application processing unit 160 receives investment application information that designates a broadcast and sets an investment amount from an investor before the broadcast time, and determines the investor's share of the profit from the product based on the investment amount.

The investment application processing unit 160 may calculate a cumulative amount by accumulating investment amounts of a plurality of investors investing in broadcasting based on the investment application information. The investment application processing unit 160 may provide investment progress information for a broadcast designated in the investment application information to the investor based on the investment application information and the investment condition information of the investor.

For example, when the investment amount of a plurality of investors reaches the upper limit of the total investment amount by accumulating the investment amount of a plurality of investors, the investment application processing unit 160 may publish on a web page of the investment service that the investment for the corresponding broadcast is closed.

For example, when the investment application processing unit 160 adds up the determined shares of a plurality of investors and reaches the investable share allocated to the investor among the shares allocated to the platform, the investment service web page indicates that the investment in the broadcast is closed. Can be posted on.

The investment application processing unit 160 can calculate and provide the investor's return per investment amount based on the income generated per product sale, the investable share, and the corresponding investment amount per share, if there is an investment application from the investor. have.

6 is a diagram illustrating an hourly sales volume predicted by a sales volume prediction unit according to an embodiment, FIG. 7 is a diagram illustrating a broadcast schedule provided to an investor according to an embodiment, and FIG. 8 This is a diagram illustrating a page that receives an investment application from an investor.

Referring to the example of FIG. 6, Seller A is allocated a broadcast time to conduct a broadcast for selling lipsticks on Friday, October 18, 2019 from 21:00 to 22:00, and Saturday, October 19, 2019 19: Broadcasting time is allocated to conduct a broadcast to sell lipsticks from 30 to 21:30. For the case where Seller A sells lipsticks at each allocated broadcast time by the sales volume prediction unit 140, the estimated number of sales per minute is 0.9 and 1.1, respectively. The investment information processing unit 150 may provide the investor with the estimated sales per minute (0.9, 1.1) or the estimated sales per minute (54, 132) during the allocated broadcast time calculated based on the sales per minute. . In addition, target sales (50, 100) received from sellers can be provided to investors.

Referring to the example of FIG. 7, the investor can check information as illustrated in FIG. 6 in the broadcast schedule. When the investor clicks the'Investment Conditions Details' button in the broadcast schedule of FIG. 7, the investment information processing unit 150 displays a page for receiving investment condition information and investment application on the investor terminal 600 as illustrated in FIG. 8. Can be provided.

9 is a diagram illustrating a structure of a stake in product sales revenue according to an embodiment. 9 illustrates a case in which the seller and the platform share 50% of product sales revenue. For convenience of explanation, the shares of the supplier are omitted, but it is obvious that modifications and changes of the embodiment including the shares of the supplier may be easily made.

Referring to the example of FIG. 9, the platform may provide an investor with a portion of a 50% share of product sales revenue allocated to the platform. In the example of FIG. 9, the selling platform investment service operation server provides a 10% stake, which is part of a 50% stake in the platform, as an investment subject on condition of a total investment amount of 2 million won. Investors can set the investment amount up to a limit of 2 million won each and divide the investment target stake to invest. For example, investor A sets an investment amount of KRW 1 million to have a 5% stake in the profits from product sales, and investor B and investor C have an investment amount of KRW 500,000 to have a 2.5% stake in the profits from product sales. .

For example, referring to Figs. 7 to 9, investor B checks the broadcast information allocated in the broadcast schedule shown in Fig. 7 and broadcasts on Saturday, October 19, 19:30 to 21:30, when seller A sells lipstick. In order to invest in, the investment condition information as shown in FIG. 8 can be checked by clicking the'Investment Condition Details' button. Investor B can confirm that the seller's target sales volume is 100, and the estimated sales volume from the sales volume prediction model is 132, and it is a dedicated account to invest in 2.5% of the 10% stake allocated to the total raised amount of 2 million won. You can apply for investment by setting an investment amount of 500,000 won among the amount deposited in.

Meanwhile, since the examples shown in FIGS. 7 to 9 are merely examples for convenience of description, it is reasonable that they are not limited thereto.

The settlement processing unit 170 transfers the settlement amount including the investor's investment profit amount and the investment amount calculated based on the determined share among the total sales profit of the product sold through the broadcast to the investor's dedicated account. After the broadcast time, the total sales profit of the product actually sold through broadcasting is settled, the amount of investment profit made by the investor out of the sales profit is settled to the investor as an investment profit amount, and the amount of investment profit and investment amount is repaid to the investor.

When receiving the investment amount from a plurality of investors for a plurality of broadcasts, the investment amount management unit 180 provides some amount of the investment amount deposited from the plurality of investors to at least one supplier, and is provided by at least one supplier. The unit price of the product can be adjusted based on some amount.

Meanwhile, the allocation unit 110, the storage unit 120, the communication unit 130, the sales volume prediction unit 140, the investment information processing unit 150, the investment application processing unit 160, and the settlement processing unit 170 included in the above-described embodiment And the investment amount management unit 180 may be implemented by a memory including instructions programmed to perform these functions, and a computing device including a microprocessor that performs these instructions.

10 is a block diagram of an investor terminal according to an embodiment.

The investor terminal 600 may include at least some or all of the control unit 610, the input unit 620, the display unit 630, and the communication unit 640.

The controller 610 may control the overall operation of the investor terminal 600. The controller 610 may control each of the input unit 620, the display unit 630, and the communication unit 640.

The input unit 620 may be implemented with at least one of a predetermined physical key or a touch key.

The control unit 610 may receive investment application information in which broadcasting is designated and an investment amount is set through the input unit 620.

The display unit 630 may display product information on products sold through broadcasting, seller information on sellers selling products through broadcasting, broadcasting information on broadcasting time, and investment condition information for broadcasting. have.

The communication unit 640 may include a communication module for wired/wireless communication with the selling platform server 100.

The control unit 610 receives product information, seller information, broadcast information, and investment condition information from the selling platform server 100 to the communication unit 640, and sends investment application information in which a broadcast is designated and an investment amount is set through the selling platform server. Can be transmitted to (100).

The investor terminal 600 is generally applied to a handheld-based general-purpose wireless communication device such as a smartphone, a smart pad, and a tablet PC, which is guaranteed to have portability and mobility. software) can be installed. Alternatively, the investor terminal 600 may be implemented through a computer capable of accessing a website, but is not limited to the illustrated example.

Meanwhile, the control unit 610, the input unit 620, the display unit 630, and the communication unit 640 included in the above-described embodiment include a memory including instructions programmed to perform their functions, and a microprocessor that performs these instructions. It may be implemented by a computing device including.

11 is a flowchart illustrating a method of operating a selling platform investment service by a selling platform device according to an embodiment.

The allocation unit 110 connects a supplier who supplies a product to be sold through the platform with a seller who will sell the product, and allocates a broadcast time for the seller to sell the product (S1010).

The storage unit 120 stores product information on a product sold in a broadcast based on allocation, seller information on a seller selling a product by performing a broadcast, and broadcast information on an assigned broadcast time of the broadcast (S1020).

The investment information processing unit 150 provides information on investment conditions for broadcasting to investors in connection with product information, seller information, and broadcasting information (S1030).

The investment application processing unit 160 receives investment application information in which the investor designates the broadcast and sets the investment amount before the broadcast time, receives the investment amount from the investor, and receives the investor's share of the profit from the product based on the investment amount. It is determined (S1040).

The settlement processing unit 170 transfers the settlement amount including the investor's investment income and investment amount calculated based on the determined share among the total sales profit of the product sold through the broadcast to the investor's consolidated account.

The above-described embodiments of the present invention can be implemented through various means. For example, embodiments of the present invention may be implemented by hardware, firmware, software, or a combination thereof.

In the case of implementation by hardware, the method according to embodiments of the present invention includes one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), It can be implemented by field programmable gate arrays (FPGAs), processors, controllers, microcontrollers, microprocessors, and the like.

In the case of implementation by firmware or software, the method according to the embodiments of the present invention may be implemented in the form of a module, procedure, or function that performs the functions or operations described above. A computer program in which software codes and the like are recorded may be stored in a computer-readable recording medium or a memory unit and driven by a processor. The memory unit may be located inside or outside the processor, and may exchange data with the processor through various known means.

In addition, combinations of each block of the block diagram attached to the present invention and each step of the flowchart may be performed by computer program instructions. Since these computer program instructions can be mounted on the encoding processor of a general-purpose computer, special purpose computer or other programmable data processing equipment, the instructions executed by the encoding processor of the computer or other programmable data processing equipment are each block of the block diagram or Each step of the flow chart will create a means to perform the functions described. These computer program instructions can also be stored in computer-usable or computer-readable memory that can be directed to a computer or other programmable data processing equipment to implement a function in a particular way, so that the computer-usable or computer-readable memory It is also possible to produce an article of manufacture in which the instructions stored in the block diagram contain instruction means for performing the functions described in each block or flow chart. Computer program instructions can also be mounted on a computer or other programmable data processing equipment, so that a series of operating steps are performed on a computer or other programmable data processing equipment to create a computer-executable process to create a computer or other programmable data processing equipment. It is also possible for the instructions to perform the processing equipment to provide steps for performing the functions described in each block of the block diagram and each step of the flowchart.

In addition, each block or each step may represent a module, segment, or part of code including one or more executable instructions for executing a specified logical function. It should also be noted that in some alternative embodiments, the functions mentioned in blocks or steps may occur out of order. For example, two blocks or steps shown in succession may in fact be performed substantially simultaneously, or the blocks or steps may sometimes be performed in the reverse order depending on the corresponding function.

As such, those skilled in the art to which the present invention pertains will be able to understand that the present invention can be implemented in other specific forms without changing the technical spirit or essential features thereof. Therefore, the embodiments described above are illustrative in all respects and should be understood as non-limiting. The scope of the present invention is indicated by the claims to be described later rather than the detailed description, and all changes or modified forms derived from the meaning and scope of the claims and their equivalent concepts should be interpreted as being included in the scope of the present invention. .

Claims (15)

An allocating unit that connects a supplier supplying a product to be sold through the platform with a seller who will sell the product, and allocates a broadcast time for the seller to sell the product;
A storage unit for storing product information on a product sold in a broadcast based on the allocation, seller information on a seller selling the product by conducting the broadcast, and broadcast information on an assigned broadcast time of the broadcast;
An investment information processing unit providing investment condition information for the broadcast to an investor in connection with the product information, the seller information, and the broadcast information;
An investment request processing unit for receiving investment request information specifying the broadcast and setting an investment amount from the investor before the broadcast time, and determining a stake of the investor in the profit of the product based on the investment amount; And
Including a settlement processing unit for remittance of the investor's investment income amount and a settlement amount including the investment amount calculated based on the determined share among the total sales profit of the product sold through the broadcast to the dedicated account of the investor
Selling platform investment service operation server.
The method of claim 1,
When predetermined product information, predetermined seller information, and predetermined broadcast information are input, the sales volume of the predetermined product per hour is predicted when a predetermined seller sells a predetermined product at a broadcast time corresponding to the predetermined broadcast information. Further comprising a sales volume prediction unit including a neural network model trained through a predetermined machine learning algorithm to,
The allocation unit,
Allocating a broadcast time for selling the product among the plurality of broadcast times based on the hourly sales amount predicted by the sales amount predictor in case the seller sells the product for a plurality of broadcast times
Selling platform investment service operation server.
The method of claim 2,
The allocation unit,
Allocating a broadcast time for predicting the sales amount most similar to the target sales amount as a broadcast time for selling the product based on the target sales amount input from the seller and the predicted hourly sales amount
Selling platform investment service operation server.
The method of claim 2,
The allocation unit,
Provides broadcast time recommendation information to the seller based on the target sales volume input from the seller and the predicted sales per hour, receives a broadcast request specifying a broadcast time from the seller, and sells the product based on the broadcast request To allocate airtime for
Selling platform investment service operation server.
The method of claim 1,
When predetermined product information, predetermined seller information, and predetermined broadcast information are input, the sales volume of the predetermined product per hour is predicted when a predetermined seller sells a predetermined product at a broadcast time corresponding to the predetermined broadcast information. Further comprising a sales volume prediction unit including a neural network model trained through a predetermined machine learning algorithm to,
The investment information processing unit,
For the case where the seller sells the product at the assigned broadcast time, based on the hourly sales volume predicted by the sales volume prediction unit, further providing the predicted sales volume during the assigned broadcast time to the investor
Selling platform investment service operation server.
The method of claim 5,
The investment information processing unit,
Receiving target sales volume from the seller and further providing it to the investor
Selling platform investment service operation server.
The method according to claim 2 or 5,
The sales volume prediction unit,
The broadcast target achievement rate is calculated based on the actual product sales volume during the broadcast and the target sales volume preset by the seller, and the sales per hour of the product is calculated based on the actual product sales volume and the broadcast information. Only product information, seller information, broadcast information, and hourly sales for the broadcast whose target achievement rate is greater than or equal to the reference value are used as training data of the neural network model,
The neural network model,
It is composed of a neural network including an input layer, a hidden layer, and an output layer, is set to input product information, seller information, and broadcast information of the training data to the input layer, and the sales volume per hour of the training data is input to the output layer It is set so that the correlation to derive the hourly sales volume for the product to be sold by the seller during the broadcast time is learned.
Selling platform investment service operation server.
The method of claim 7,
The above product information,
Includes at least one of product identification information, product category, product sales condition, and product price discount condition
Selling platform investment service operation server.
The method of claim 7,
The above seller information,
Including at least one of identification information of the seller, information on a predetermined SNS account authenticated by the seller, the number of followers or friends, the age group of the followers or friends, and information related to the sex of the followers or friends
Selling platform investment service operation server.
The method of claim 7,
The broadcast information,
Further comprising information on whether the broadcast progress date, the broadcast day, and whether the broadcast progress date is a holiday.
Selling platform investment service operation server.
The method of claim 1,
The above investment conditions information,
Information on the number of investors who can invest in each broadcast, the upper or lower limit of the investment amount of each investor, the upper or lower limit of the total investment amount, and the ratio allocated to the investor from the profit per sale of one product when investing a predetermined amount of investment Containing at least one of
Selling platform investment service operation server.
The method of claim 1,
The investment information processing unit,
As a ratio to be distributed to each entity with respect to the total sales revenue of the product, at least a portion of the equity allocated to the platform as a share that the investor can invest in, with the platform's equity, the supplier's equity, and the seller's equity already allocated. Set investment conditions to be allocated, information on the shares allocated to the investor as investable shares among the shares allocated to the platform, and investment corresponding to the shares allocated to the investable shares among shares allocated to the platform To generate investment terms information including amount
Selling platform investment service operation server.
The method of claim 1,
The server,
In the case of receiving an investment amount from a plurality of investors for a plurality of broadcasts, a partial amount of the investment amount deposited from the plurality of investors is provided to at least one supplier, and the unit price of the product provided by the at least one supplier is said Further comprising an investment amount management unit that adjusts based on a partial amount
Selling platform investment service operation server.
In the investment service operation method performed by the selling platform server,
Connecting a supplier supplying a product to be sold through the platform with a seller who will sell the product, and allocating a broadcast time for the seller to sell the product;
Storing product information on a product sold in the broadcast based on the allocation, seller information on a seller selling the product through the broadcast, and broadcast information on an assigned broadcast time of the broadcast;
An investment information step of providing investment condition information for the broadcast to an investor in connection with the product information, the seller information, and the broadcast information;
Prior to the broadcast time, the investor designates the broadcast and receives investment application information that sets the investment amount, receives the investment amount from the investor, and receives the investment amount from the investor, and the investor's share of the profit from the product based on the investment amount. Determining; And
Remittance of the investor's investment income amount calculated based on the determined share among the total sales profit of the product sold through the broadcast and the settlement amount including the investment amount to the linked account of the investor.
How to operate investment services.
A computer-readable recording medium on which a computer program including instructions for causing a processor to perform the method of claim 14 is recorded.

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