Product-linked affiliated marketing payment and ai viral marketing analysis system

Abstract

An affiliated marketing payment and AI viral marketing analysis system according to an embodiment of the present invention is connected to a seller terminal and a consumer terminal through a network, and comprises: a product tag code generation unit for receiving product information and a payment method from the seller terminal and generating a product tag code; a product payment unit for receiving purchase information for the product tag code from the consumer terminal and generating payment information corresponding to the purchase information; an affiliation induction unit for receiving induction information from the consumer terminal and transmitting the product tag code corresponding to the induction information to another consumer terminal; and an affiliation analysis unit for generating analysis information on the basis of the payment information and induction information corresponding to the product tag code.

Description

Affiliate marketing payment and AI viral marketing analysis system that links to products

[0001] The present invention relates to an online affiliate marketing system, and more particularly, to an affiliate marketing payment and AI viral marketing analysis system that links to products that induce consumers to purchase products and market products, and analyze consumers to increase sales of sellers' products.

[0002] Typically, open markets, online product sales systems, operate through an operator providing an electronic transaction system that facilitates transactions between sellers and consumers, in exchange for which the operator collects a sales commission from the sellers. Furthermore, the operator directly sets the open market usage fees, and sellers pay the fees set by the system operator to sell their products.

[0003] Furthermore, most usage policies for online sales systems are unilaterally determined by the operators. This results in some operators surviving the competitive market effectively monopolizing the online product sales and purchase market, potentially leading to social problems stemming from market monopoly.

[0004] Meanwhile, online sales systems often employ network marketing distribution methods (also known as multi-level marketing). Here, the relationship between the "introducer" and the "introduced" is based on a compensation-based, person-centered relationship. However, from the perspective of the "introducer," income is likely to increase proportionally with the number of people they introduce. Therefore, this has led to social problems, such as "college student multi-level marketing," where recruiting leads is focused on school ties rather than product introduction and distribution. Furthermore, those at the top often exploit the interpersonal hierarchy to force those at the bottom to hoard unnecessary products in order to meet performance targets, frequently resulting in financial losses. Furthermore, once the "introducer" and "introduced" are linked as upper and lower tiers, except in very special cases, the hierarchical relationship is fixed forever. Like a subordinate slave relationship, those at the top receive compensation for all sales of products sold by those at the bottom. Because of this, the problem of unfairness is occurring in which people at the top earn income without much effort.

[0005] Due to the above problems, research has been conducted on online product sales systems that follow new operating methods, but a satisfactory system has not yet been developed.

[0006] Furthermore, as online social media usage expands globally, the influence of "referrals from acquaintances," or "word of mouth," is rapidly increasing worldwide, surpassing "standard commercial advertising" as a factor influencing consumer purchases. Consequently, companies are rapidly increasing their spending on online word-of-mouth marketing, specifically viral marketing and influencer marketing.

[0007] However, there is a lack of data analyzing and measuring product introduction patterns, including when, how, and how much people introduce products, when and how often people who are introduced re-introduce products, and, most importantly, when and how much these people purchase the products. This lack of data analysis and measurement is causing companies to spend significant amounts of money but are unable to properly measure the impact of their efforts.

[0008] Despite the above problems, word-of-mouth marketing is continuously increasing, and a satisfactory word-of-mouth marketing analysis system has not yet been developed.

[0009] The technical task to be achieved by the affiliate marketing payment and AI viral marketing analysis system according to the technical idea of ​​the present invention is to provide an affiliate marketing payment and AI viral marketing analysis system that enables marketing of products through connections between sellers and consumers and among consumers, centered on products.

[0010] In addition, the technical task to be achieved by the affiliate marketing payment and AI viral marketing analysis system according to the technical idea of ​​the present invention is to provide an affiliate marketing payment and AI viral marketing analysis system that enables stable compensation for product sales between product sellers and consumers.

[0011] In addition, the technical task to be achieved by the affiliate marketing payment and AI viral marketing analysis system according to the technical idea of ​​the present invention is to provide an affiliate marketing payment and AI viral marketing analysis system that analyzes consumer marketing activities for each product and selects verified sellers for product sales among consumers for a specific product.

[0012] The technical tasks to be accomplished by the affiliate marketing payment and AI viral marketing analysis system according to the technical idea of ​​the present invention are not limited to the tasks mentioned above, and other tasks not mentioned will be clearly understood by those skilled in the art from the description below.

[0013] According to one embodiment of the technical idea of ​​the present invention, an affiliate marketing payment and AI viral marketing analysis system is provided, which is connected to a seller terminal and a consumer terminal through a network, and which comprises: a product tag code generation unit which receives product information and a payment method from a seller terminal and generates a product tag code; a product payment unit which receives purchase information for a product tag code from a consumer terminal and generates payment information corresponding to the purchase information; an affiliate induction unit which receives induction information from a consumer terminal and transmits a product tag code corresponding to the induction information to another consumer terminal; and an affiliate analysis unit which generates analysis information based on payment information and induction information corresponding to the product tag code.

[0014] In addition, product information includes product name, product image, product introduction, and product price, payment method includes at least one of card payment, cash payment, seller payment, and consumer payment, purchase information includes consumer information, product tag code, and selected payment method, and the selected payment method is one of card payment, cash payment, seller payment, and consumer payment, and consumer information may include consumer name, consumer age, consumer gender, consumer residence, and consumer contact information.

[0015] In addition, when the selected payment method is seller payment, the product payment unit generates payment request information based on purchase information corresponding to the product tag code, the selected payment method, and product information, and the payment request information is composed of seller request information and consumer request information, the product payment unit transmits the seller request information to the seller terminal, the seller terminal receives the payment amount and transmits seller notification information including the payment amount to the product payment unit, the product payment unit generates consumer request information corresponding to the seller notification information and transmits it to the consumer terminal, the consumer terminal transmits payment confirmation information corresponding to the consumer request information to the product payment unit, and the product payment unit can generate payment information corresponding to the payment confirmation information.

[0016] In addition, if the selected payment method is consumer payment, the product payment unit generates payment request information based on purchase information corresponding to the product tag code, the selected payment method, and product information, the product payment unit transmits the payment request information to the consumer terminal, the consumer terminal receives the payment amount, and transmits payment confirmation information corresponding to the payment request information including the payment amount to the product payment unit, and the product payment unit can generate payment information corresponding to the payment confirmation information.

[0017] Additionally, payment information may include consumer information, product name, product image, payment amount, and payment time.

[0018] In addition, the induction information includes a product tag code and other consumer information stored in the consumer terminal, and the other consumer information includes another consumer name, another consumer age, another consumer gender, another consumer residence, and another consumer contact information, and the affiliate induction unit can transmit the product tag code of the transmitted induction information to the consumer terminal corresponding to the other consumer information.

[0019] In addition, the affiliate analysis unit can create connection information by connecting consumer terminals that have received product tag codes, create consumer purchase conversion information based on the connection information and payment information, and create sales consumer information based on the consumer purchase conversion information.

[0020] In addition, consumer purchase conversion information includes the number of product purchases and the product purchase rate, and the number of product purchases refers to the number of purchases of other consumers connected to one consumer through transmission of a product tag code, and the product purchase rate is calculated by dividing the number of purchases of other consumers connected to one consumer through transmission of a product tag code by the number of other consumers connected to one consumer, and the affiliate analysis unit can select consumers who show relatively large values ​​in the number of product purchases and the product purchase rate of the consumer purchase conversion information as sales consumers and generate sales consumer information based on the consumer information of the selected sales consumers.

[0021] Additionally, the affiliate analysis unit can transmit sales consumer information to the seller terminal and transmit the sales consumer information to other seller terminals that wish to sell the same type of product corresponding to the product tag code.

[0022] In addition, the affiliate marketing payment and AI viral marketing analysis system further includes a login unit that receives seller login information from a seller terminal, compares the seller login information with pre-registered seller login confirmation information, and determines whether to allow the seller to log in, wherein the login unit sequentially displays eight contact areas on the screen of the seller terminal, randomly assigns eight different notes constituting one musical scale to each of the contact areas, and when the seller touches a contact area through the seller terminal, the note assigned to the touched contact area is output only through earphones connected to the seller terminal, and at the same time, after the seller touches all eight contact areas and confirms the note assigned to each contact area, a tone-color display step is performed in which a plurality of different colors are displayed in a random order at predetermined display time intervals in the contact area touched again by the seller, and the login unit includes a sound transmission step in which, when the seller touches a contact area once and then presses the contact area again for a predetermined time after a predetermined pause, sound data corresponding to the note assigned to the contact area is transmitted from the seller terminal, and when the pressing for the predetermined time occurs, A color transmission step is performed to receive color data corresponding to a color displayed in a contact area from a seller terminal, and a login unit repeats performing the sound-color display step, the sound transmission step, and the color transmission step, wherein the login unit sequentially connects sound data transmitted from the seller terminal through the sound transmission step to form sound input data, and performs an input data formation step to sequentially connect color data transmitted from the seller terminal through the color transmission step to form color input data, and the login unit performs a sound data verification step to verify whether the sound registration data included in seller login verification information pre-registered by the seller and the sound input data match,A color data verification step is performed to check whether the color registration data and the color input data included in the seller login verification information pre-registered by the seller match, and the login unit can allow the seller to log in if the color registration data and the color input data match in the sound data verification step and the color registration data and the color input data match in the color data verification step.

[0023] The affiliate marketing payment and AI viral marketing analysis system according to embodiments of the technical idea of ​​the present invention has the following effects.

[0024] (1) Marketing of products can be done through connections between sellers and consumers and among consumers, focusing on products.

[0025] (2) Ensure that compensation for product sales is stably provided between product sellers and consumers.

[0026] (3) Consumer marketing activities are analyzed for each product, and verified sellers are selected from among consumers for specific products to sell the product.

[0027] (4) When small and medium-sized businesses and enterprises sell their products, they will be able to use a product curation system that introduces them to the best verified people who can sell the products.

[0028] (5) Through the product curation system, the initial distribution market development costs for businesses, especially small and medium-sized businesses, can be significantly reduced, thereby achieving sound growth in the national distribution economy market.

[0029] However, the effects that can be achieved by the affiliate marketing payment and AI viral marketing analysis system according to one embodiment of the present invention are not limited to those mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the description below.

[0030] To facilitate a more thorough understanding of the drawings cited herein, a brief description of each drawing is provided.

[0031] FIG. 1 is a block diagram illustrating an affiliate marketing payment and AI viral marketing analysis system according to one embodiment of the present invention.

[0032] FIG. 2 is an implementation flowchart of an affiliate marketing payment and AI viral marketing analysis system according to one embodiment of the present invention.

[0033] FIG. 3 is an implementation flowchart for affiliate and payment in an affiliate marketing payment and AI viral marketing analysis system according to one embodiment of the present invention.

[0034] FIG. 4 is an implementation flowchart for viral marketing analysis in an affiliate marketing payment and AI viral marketing analysis system according to one embodiment of the present invention.

[0035] The present invention is susceptible to various modifications and embodiments. Specific embodiments are illustrated in the drawings and described in detail. However, this is not intended to limit the present invention to specific embodiments, and it should be understood that the present invention encompasses all modifications, equivalents, and alternatives falling within the spirit and technical scope of the present invention.

[0036] In describing the present invention, detailed descriptions of related known technologies will be omitted if they are deemed to unnecessarily obscure the gist of the present invention. Furthermore, numbers (e.g., "first," "second," etc.) used throughout the description of this specification are merely identifiers used to distinguish one component from another.

[0037] Additionally, in this specification, when a component is referred to as being “connected” or “connected” to another component, it should be understood that the component may be directly connected or connected to the other component, but may also be connected or connected via another component in between, unless there is a specific description to the contrary.

[0038] In addition, the components expressed as "~part" in this specification may be two or more components combined into one component, or one component may be divided into two or more components with more detailed functions. In addition, each component described below may additionally perform some or all of the functions performed by other components in addition to its own main function, and of course, some of the main functions performed by each component may be exclusively performed by other components.

[0039] Hereinafter, embodiments according to the technical idea of ​​the present invention will be described in detail one by one.

[0040] FIG. 1 is a block diagram illustrating an affiliate marketing payment and AI viral marketing analysis system according to one embodiment of the present invention, and FIG. 2 is an implementation flowchart of an affiliate marketing payment and AI viral marketing analysis system according to one embodiment of the present invention.

[0041] As illustrated in FIGS. 1 and 2, an affiliate marketing payment and AI viral marketing analysis system (100) according to one embodiment of the present invention may be connected to a seller terminal (10) and a consumer terminal (20) via a network (1), and may include a product tag code generation unit (101), a product payment unit (102), an affiliate induction unit (103), and an affiliate analysis unit (104). A seller may refer to a person who wishes to sell a product through the affiliate marketing payment and AI viral marketing analysis system (100), and a consumer may refer to a person who not only wishes to purchase a product through the affiliate marketing payment and AI viral marketing analysis system (100) but also uses the affiliate marketing payment and AI viral marketing analysis system (100).

[0042] The product tag code generation unit (101), product payment unit (102), affiliate induction unit (103), and affiliate analysis unit (104) may include at least one of a processor, a memory, and a data transmitter / receiver.

[0043] Sellers and consumers can access the affiliate marketing payment and AI viral marketing analysis system (100) using the seller terminal (10) and the consumer terminal (20), respectively, and exchange signals with the affiliate marketing payment and AI viral marketing analysis system (100). The affiliate marketing payment and AI viral marketing analysis system (100) displays a web page through a web browser driven on each of the seller terminal (10) and the consumer terminal (20), and allows the user to log in to the web page and then access the affiliate marketing payment and AI viral marketing analysis system (100). Alternatively, an application capable of accessing the affiliate marketing payment and AI viral marketing analysis system (100) may be installed and driven on each of the seller terminal (10) and the consumer terminal (20).

[0044] The seller terminal (10) and the consumer terminal (20) may each be implemented as a computer capable of connecting to a remote server or terminal via a network (1). Here, the computer may include, for example, a notebook, desktop, or laptop equipped with a web browser. In addition, the seller terminal (10) and the consumer terminal (20) may each be implemented as a terminal device capable of connecting to a remote server or terminal via the network (1). The terminal device may include all types of handheld-based wireless communication devices such as, for example, a wireless communication device that guarantees portability and mobility, such as a PCS (Personal Communication System), GSM (Global System for Mobile communications), PDC (Personal Digital Cellular), PHS (Personal Handyphone System), PDA (Personal Digital Assistant), IMT (International Mobile Telecommunication)-2000, CDMA (Code Division Multiple Access)-2000, W-CDMA (W-Code Division Multiple Access), Wibro (Wireless Broadband Internet) terminal, smartphone, smartpad, tablet PC, etc.

[0045] Here, the network (1) refers to a connection structure that enables information exchange between each node, such as multiple terminals and servers, and examples of such networks include, but are not limited to, a 3GPP (3rd Generation Partnership Project) network, an LTE (Long Term Evolution) network, a 5G network, a WIMAX (World Interoperability for Microwave Access) network, the Internet, a LAN (Local Area Network), a Wireless LAN (Wireless Local Area Network), a WAN (Wide Area Network), a PAN (Personal Area Network), a Bluetooth network, a satellite broadcasting network, an analog broadcasting network, and a DMB (Digital Multimedia Broadcasting) network.

[0046] The product tag code generation unit (101) can receive product information and a payment method from the seller terminal (10) (S101). Here, the product information refers to information about the product that the seller wants to sell, and may include a product name, a product image, a product introduction, a product price, etc. In addition, the payment method refers to a payment method when purchasing a product, and may include at least one of card payment, cash payment, seller payment, and consumer payment. Card payment and cash payment are payment methods in which payment is made at the product price of the product information, seller payment is a payment method in which the payment amount entered by the seller when purchasing a product is paid as the product price, and distribution is made between the seller and the consumer according to a preset compensation rate and compensation rule, and consumer payment is a payment method in which the payment amount entered by the consumer when purchasing a product is paid as the product price, and distribution is made between the seller and the consumer according to a preset compensation rate and compensation rule. The seller can input product information and a payment method through the input screen of the seller terminal (10) and transmit them to the product tag code generation unit (101).

[0047] Additionally, the product tag code generation unit (101) can generate a product tag code based on the received product information and payment method (S102). Each product tag code can be generated for each received product information and payment method. Here, the product tag code can be encrypted and generated in the form of a barcode or QR code, or can be generated in a form such as a serial number or URL.

[0048] Additionally, the consumer terminal (20) can be connected to the affiliate marketing payment and AI viral marketing analysis system (100) to receive a product tag code, and output information corresponding to the product tag code (e.g., product information and payment method, etc.). Accordingly, the consumer can check product information through the consumer terminal (20) and store the product tag code received on the consumer terminal (20).

[0049] The product payment unit (102) can receive purchase information from the consumer terminal (20) and generate payment request information (S103). Here, the consumer terminal (20) can input purchase information for a product according to a product tag code through an input screen and transmit the information to the product payment unit (102). In addition, the purchase information can include consumer information, a product tag code, a selected payment method, etc., and the selected payment method refers to a payment method selected by the consumer and can be one of card payment, cash payment, seller payment, and consumer payment. In addition, the consumer information can include the consumer name, consumer age, consumer gender, consumer residence, consumer contact information, etc.

[0050] Additionally, the product payment unit (102) can generate payment request information based on purchase information (particularly, consumer information), the selected payment method, and product information corresponding to the product tag code. The payment request information may include the product name, product image, consumer name, consumer residence, and consumer contact information, and the product price may be optionally included depending on the selected payment method. The payment request information may be transmitted to the consumer terminal (20) differently depending on the selected payment method in the purchase information.

[0051] For example, if the selected payment method is card payment or cash payment, the payment request information may further include the product price. Here, the product payment unit (102) may transmit the payment request information to the consumer terminal (20). The consumer may check the payment request information through the screen of the consumer terminal (20) and make a payment corresponding to the payment request information. Furthermore, the consumer terminal (20) may transmit payment confirmation information corresponding to the payment request information to the product payment unit (102).

[0052] Additionally, if the selected payment method is seller payment, the payment request information may consist of seller request information and consumer request information. Here, the product payment unit (102) may transmit the seller request information to the seller terminal (10). Furthermore, the seller request information may include the product name, product image, etc. The seller may check the seller request information and enter the payment amount through the screen of the seller terminal (10), and the seller terminal (10) may transmit seller notification information including the payment amount to the product payment unit (102).

[0053] Additionally, the product payment unit (102) may generate consumer request information corresponding to the seller notification information and transmit it to the consumer terminal (20). Here, the consumer request information may include a product name, a product image, the consumer's name, the consumer's residence, the consumer's contact information, the payment amount, etc. The consumer may check the consumer request information through the screen of the consumer terminal (20) and may make payment for the payment amount by the seller corresponding to the consumer request information. In addition, the consumer terminal (20) may transmit payment confirmation information corresponding to the consumer request information to the product payment unit (102).

[0054] Additionally, if the selected payment method is consumer payment, the product payment unit (102) may transmit payment request information to the consumer terminal (20). Here, the payment request information may include the product name, product image, consumer name, consumer residence, consumer contact information, etc. The consumer may check the payment request information through the screen of the consumer terminal (20), enter the payment amount, and make payment using the payment amount. Furthermore, the consumer terminal (20) may transmit payment confirmation information corresponding to the payment request information to the product payment unit (102).

[0055] The payment confirmation information as described above may further include the payment time, which is the time when payment is made at the consumer terminal (20).

[0056] Additionally, the product payment unit (102) can combine the received payment confirmation information with purchase information to generate payment information (S104). Here, the payment information may include consumer information, product name, product image, payment amount (or product price), payment time, etc.

[0057] Additionally, the product payment unit (102) can transmit payment information to the seller terminal (10). The seller can check the payment information through the seller terminal (10) and prepare the product according to the payment information.

[0058] The affiliate induction unit (103) can receive induction information from a consumer terminal (20) and transmit a product tag code corresponding to the induction information to another consumer terminal (20) (S105). Here, the induction information refers to information used by the consumer terminal (20) to share the product tag code with another consumer terminal (20), and may include, for example, a product tag code stored in the consumer terminal (20), other consumer information, etc., and the other consumer information refers to information about another consumer to whom the product tag code will be transmitted, and may include, for example, another consumer's name, another consumer's age, another consumer's gender, another consumer's place of residence, another consumer's contact information, etc.

[0059] In particular, the affiliate induction unit (103) can transmit the product tag code of the transmitted induction information to the consumer terminal (20) corresponding to other consumer information (particularly, other consumer contact information). As a result, the other consumer can use the product tag code transmitted to his / her consumer terminal (20) to access the affiliate marketing payment and AI viral marketing analysis system (100) to purchase a product corresponding to the product tag code, and can transmit the product tag code to another consumer. Here, the other consumer can input purchase information using his / her consumer terminal (20) and transmit it to the product payment unit (102) to generate payment information, and input induction information and transmit it to the affiliate induction unit (103) to transmit the product tag information to another consumer. When another consumer makes a payment using the payment method of seller payment or consumer payment, distribution among the seller, consumer, and other consumer can be made according to the preset compensation rate and compensation rules.

[0060] The above-mentioned consumer and other consumers can share product tag codes, allowing other consumers to purchase products corresponding to the product tag codes and share the product tag codes. This allows multiple consumer terminals (20) to be connected to a single product, enabling affiliate marketing to be implemented, enabling product purchases and payments through affiliate marketing.

[0061] The affiliate analysis unit (104) can generate analysis information based on payment information and induction information corresponding to the product tag code (S106). Here, the analysis information may refer to information analyzing consumers' affiliate marketing patterns (e.g., product purchases and product tag code transmissions) for each product. This analysis may also be used to implement demographic analysis, geographical analysis, temporal analysis, purchase conversion pattern analysis, and analysis of product-specific indicators (e.g., color, design, raw materials, etc.).

[0062] As mentioned above, payment information may include consumer information, product name, product image, payment amount (or product price), payment time, etc., and derived information may include product tag information, other consumer information, etc. Here, (other) consumer information may include (other) consumer name, (other) consumer age, (other) consumer gender, (other) consumer residence, (other) consumer contact information, etc.

[0063] For example, the affiliate analysis unit (104) can classify consumers who purchased a product of a product tag code by age and gender based on consumer age, gender, etc. included in the consumer information of the payment information corresponding to a product tag code, and generate demographic analysis information. In addition, the affiliate analysis unit (104) can classify consumers who purchased a product of a product tag code by residence based on consumer residence, etc. included in the consumer information of the payment information corresponding to a product tag code, and generate geographical analysis information. In addition, the affiliate analysis unit (104) can classify products of a product tag code by purchase time zone based on payment time, etc. included in the payment information corresponding to a product tag code, and generate temporal analysis information.

[0064] In particular, the affiliate analysis unit (104) can generate connection information by connecting consumer terminals (10) that have received product tag codes to each other. Here, the connection information can be in the form of a diagram that connects consumers based on the transmission direction of the induction information. For example, if consumer A transmits product tag codes to consumers B, C, and D using the induction information, and consumer B transmits product tag codes to consumers E and F, consumer B can be interpreted as being connected to consumers E and F, and consumer A can be interpreted as being connected to consumers B, C, and D, and connected to consumers E and F via consumer B, and thus connected to consumers B, C, D, E, and F.

[0065] In addition, the affiliate analysis unit (104) can generate consumer purchase conversion information based on connection information and payment information, and the consumer purchase conversion information is generated for each consumer and can include the number of product purchases and the product purchase rate. Here, the number of product purchases refers to the number of purchases by other consumers connected to one consumer through transmission of a product tag code, and the product purchase rate refers to a value calculated by dividing the number of purchases by other consumers connected to one consumer through transmission of a product tag code by the number of other consumers connected to the consumer.

[0066] For example, if Consumer A uses inductive information to send product tag codes to Consumers B, C, and D, payment information for Consumers B and C can be generated. Additionally, if Consumer B uses inductive information to send product tag codes to Consumers E and F, payment information for Consumer E can be generated.

[0067] In the above situation, the number of product purchases by Consumer A is 3, and Consumer A's product purchase rate can be calculated as 0.6 by dividing 3, the number of product purchases by Consumer A, by 5, the number of other consumers connected to Consumer A. In addition, the number of product purchases by Consumer B is 1, and Consumer B's product purchase rate can be calculated as 0.5 by dividing 1, the number of product purchases by Consumer B, by 2, the number of other consumers connected to Consumer B.

[0068] Additionally, the affiliate analysis unit (104) can generate sales consumer information based on consumer purchase conversion information. Here, sales consumer information refers to information about consumers who have consistently induced other consumers to purchase a product using a product tag code. This information can be used to identify consumers who can best serve as sellers for the product.

[0069] The affiliate analysis unit (104) can select consumers who exhibit relatively high values ​​in the number of product purchases and product purchase rates of consumer purchase conversion information as sales consumers and generate sales consumer information for the selected sales consumers. In particular, the affiliate analysis unit (104) can transmit the sales consumer information to the seller terminal (10). In addition, the affiliate analysis unit (104) can transmit the sales consumer information to another seller terminal (10) that wishes to sell the same type of product corresponding to the product tag code.

[0070] As described above, the affiliate analysis unit (104) can generate connection information, consumer purchase conversion information, and sales consumer information and include them in the analysis information. This affiliate analysis unit (104) can generate analysis information using various information generated from the product payment unit (102) and the affiliate induction unit (103) using artificial intelligence.

[0071] The affiliate marketing payment and AI viral marketing analysis system (100) according to this embodiment utilizes product tag codes to connect sellers and consumers, and among consumers, focusing on products. This system allows consumers to purchase products while providing the product tag codes to other consumers. Furthermore, other consumers can also purchase products using the product tag codes and provide the product tag codes to other consumers. Therefore, the affiliate marketing payment and AI viral marketing analysis system (100) according to this embodiment enables product marketing through product-centered connections.

[0072] Additionally, the affiliate marketing payment and AI viral marketing analysis system (100) according to this embodiment can apply compensation rates and rules between the seller and the consumer based on the payment method for the product. Therefore, the affiliate marketing payment and AI viral marketing analysis system (100) according to this embodiment can reliably provide compensation for product sales to both the seller and the consumer.

[0073] In addition, the affiliate marketing payment and AI viral marketing analysis system (100) according to the present embodiment can generate analysis information by analyzing consumer marketing activities based on information regarding the purchase and payment of a product by a consumer and information regarding the transmission of a product tag code. In particular, the affiliate analysis unit (104) can select a sales consumer based on the purchase count and purchase rate of purchase conversion information according to the purchase of a product among the analysis information, and generate sales consumer information about the selected sales consumer. Therefore, the affiliate marketing payment and AI viral marketing analysis system (100) according to the present embodiment selects a sales consumer for selling a specific product among consumers, thereby increasing sales of the product. In particular, the selected sales consumer can be introduced to the seller as the best verified person who can sell the product, so that the initial distribution market development costs of the selling company, especially small and medium-sized business, can be significantly reduced, and the national distribution economy market can be grown soundly.

[0074] Meanwhile, the affiliate marketing payment and AI viral marketing analysis system (100) according to the present embodiment may further include a login section.

[0075] The login section can receive seller login information from the seller terminal (10) and compare the seller login information with pre-registered seller login confirmation information to determine whether to allow the seller to log in.

[0076] Login information may include seller ID, sound input data, color input data, etc. Seller login verification information is information registered in advance by the seller and serves as a reference for determining whether it is identical to the login information, and may include seller ID, sound registration data, color registration data, etc.

[0077] The login section can perform the following tone-color display steps.

[0078] The login section displays eight contact areas arranged in sequence on the screen of the seller terminal (10) (for example, arranged in a row or in a ring), and eight different notes constituting one musical scale can be randomly assigned to the contact areas. The eight notes can be composed of do, re, mi, fa, sol, si, and do, and the contact areas can have any one shape among a triangle, a square, and a circle, and it is preferable that the eight contact areas have the same size.

[0079] After the seller inputs an ID through the seller terminal (10), the login section sequentially displays eight contact areas on the screen of the seller terminal (10), and when the seller touches one of the contact areas through the seller terminal (10), the sound assigned to the touched contact area is output through the earphone connected to the seller terminal (10), and at the same time, after the seller touches all eight contact areas and confirms the sound assigned to each contact area, the contact area touched again by the seller can start to display a plurality of different colors in random order at predetermined display time intervals.

[0080] Here, it is desirable that the tone-color display step only operates when the earphones are connected to the seller terminal (10).

[0081] The login section can perform a sound transmission step of receiving sound data corresponding to a sound assigned to the one contact area from the seller terminal (10) when the seller touches the one contact area once and then presses the one contact area again for a predetermined period of time after a predetermined pause has passed, and a color transmission step of receiving color data corresponding to a color displayed in the one contact area when the pressing for the predetermined period of time occurs from the seller terminal (10).

[0082] The login section can repeat the steps of sound-color display, sound transmission, and color transmission.

[0083] The login section can perform an input data formation step of sequentially connecting sound data transmitted from the seller terminal (10) through the sound transmission step to form sound input data, and sequentially connecting color data transmitted from the seller terminal (10) through the color transmission step to form color input data.

[0084] The login section can perform a sound data verification step to check whether the sound registration data included in the seller login verification information pre-registered by the seller matches the sound input data, and can perform a color data verification step to check whether the color registration data included in the seller login verification information pre-registered by the seller matches the color input data.

[0085] The login section can allow the seller to log in if the sound registration data and the sound input data match in the sound data verification step, and if the color registration data and the color input data match in the color data verification step. Here, the seller terminal (10) can be connected to the affiliate marketing payment and AI viral marketing analysis system (100).

[0086] For example, the login process through the login section is described as follows.

[0087] The seller can apply for "Resolmipasi" as sound registration data in advance in the login section through the seller terminal (10), and the login section sequentially stores the sound data corresponding to the first sound "Re", the sound data corresponding to the second sound "Sol", the sound data corresponding to the third sound "Mi", the sound data corresponding to the fourth sound "Pa", and the sound data corresponding to the fifth sound "Si" in the login section as sound registration data. Here, the sound data is data matching the corresponding sound, can be arbitrarily set, and can be data having a binary value, text, an image, etc.

[0088] In addition, the seller can pre-register a color for each note of "Resolmipasi". The seller can register white for "Re", white for "Sol", white for "Mi", green for "Pa", and yellow for "Si", and the login section will sequentially store the color data corresponding to white, the color data corresponding to white, the color data corresponding to white, the color data corresponding to green, and the color data corresponding to yellow as color registration data in the login section. Here, the color data is data matching the corresponding color, can be set arbitrarily, and can be data, text, images, etc. with binary values.

[0089] After the seller enters an ID through the seller terminal (10) and connects the earphones to the seller terminal (10), the login section sequentially displays eight contact areas on the screen of the seller terminal (10).

[0090] The seller can touch all eight contact areas and check the assigned note for each contact area. The seller can check that "Re" is assigned to the third contact area, "Sol" is assigned to the fifth contact area, "Mi" is assigned to the first contact area, "Pa" is assigned to the second contact area, and "Si" is assigned to the fourth contact area.

[0091] Next, the seller touches the third contact area through the seller terminal (10), and after a pause of 3 seconds, the colors displayed at 4-second intervals in the third contact area are viewed, and when the white color registered by the seller as the first sound “Re” is displayed, the third contact area is pressed and held for 3 seconds, and accordingly, the login section receives sound data corresponding to the sound assigned to the third contact area and color data corresponding to the color pressed and held in the third contact area from the seller terminal (10).

[0092] The login section can repeat the steps of the tone-color display stage, the tone transmission stage, and the color transmission stage. That is, eight different tones are randomly assigned to each of the eight contact areas on the screen of the seller terminal (10), and the seller contacts all eight contact areas to confirm the tones assigned to each contact area, repeats the above process, and completes contact for "Resolmiphasi."

[0093] The login section sequentially connects the transmitted sound data and color data each time sound data and color data are transmitted to form sound input data and color input data, and compares the sound registration data with the sound input data and compares the color registration data with the color input data to determine whether they match.

[0094] Login through the login section is a login method determined by the seller's hearing and sight, and even if someone is watching from the side, the seller will proceed while listening to the sound through earphones, so the login password cannot be known. Furthermore, even if someone around the seller only hears the sound, the login password cannot be known unless the color associated with the sound is known. Accordingly, the seller can safely and conveniently log in to the affiliate marketing payment and AI viral marketing analysis system (100) with a single login information. In other words, the affiliate marketing payment and AI viral marketing analysis system (100) according to the present embodiment can form login information through sound and color using the login section, thereby strengthening the seller login security procedure and further increasing convenience.

[0095] The functional operations described herein and the embodiments of the present subject matter can be implemented in digital electronic circuits, computer software, firmware, or hardware, or in a combination of one or more of these, including the structures disclosed herein and their structural equivalents.

[0096] Embodiments of the subject matter described herein may be implemented as one or more computer program products, i.e., one or more modules of computer program instructions encoded on a tangible program medium for execution by or controlling the operation of a data processing device. The tangible program medium may be a radio signal or a computer-readable medium. A radio signal is an artificially generated signal, such as a machine-generated electrical, optical, or electromagnetic signal, that is generated to encode information for transmission to a suitable receiver device for execution by a computer. The computer-readable medium may be a machine-readable storage device, a machine-readable storage substrate, a memory device, a combination of materials that affect a machine-readable radio signal, or a combination of one or more of these.

[0097] A computer program (also known as a program, software, software application, script or code) may be written in any programming language, including compiled or interpreted languages, a priori or procedural languages, and may be deployed in any form, including as a standalone program, a module, a component, a subroutine or other unit suitable for use in a computing environment.

[0098] Computer programs do not necessarily correspond to files in a file system. A program may be stored within a single file provided to the requested program, within multiple interacting files (e.g., a file storing one or more modules, subprograms, or portions of code), or within a file containing other programs or data (e.g., one or more scripts stored within a markup language document).

[0099] A computer program may be deployed to run on a single computer or on multiple computers located at a single site or distributed across multiple sites and interconnected by a communications network.

[0100] Additionally, the logical flow and structural block diagrams described herein describe corresponding functions and corresponding acts and / or specific methods supported by the disclosed structural means, and can also be used to construct corresponding software structures and algorithms and their equivalents.

[0101] The processes and logic flows described herein are executable by one or more programmable processors executing one or more computer programs to perform functions by operating on input data and generating output.

[0102] Processors suitable for executing computer programs include, for example, general-purpose and special-purpose microprocessors, as well as any one or more processors of any type of digital computer. Typically, the processor will receive instructions and data from read-only memory, random-access memory, or both.

[0103] The core elements of a computer are one or more memory devices for storing instructions and data, and a processor for executing instructions. Additionally, a computer will typically be coupled to or include one or more mass storage devices, such as magnetic, magneto-optical, or optical disks, to receive data from, transfer data to, or both of these operations. However, a computer need not include such devices.

[0104] This description presents the best mode of the invention and provides examples to illustrate the invention and to enable those skilled in the art to make and use the invention. The specification, as written, is not intended to limit the invention to the specific terms set forth.

[0105] Accordingly, while the present invention has been described in detail with reference to the examples described above, those skilled in the art will appreciate that modifications, variations, and variations can be made to the examples without departing from the scope of the present invention. In short, it is to be understood that to achieve the intended effects of the present invention, not all functional blocks depicted in the drawings must be separately included, nor must all sequences depicted in the drawings be followed in the exact order depicted. Even if this is not the case, the technical scope of the present invention as set forth in the claims may still be encompassed.

[0106] [Explanation of symbols]

[0107] 100: Affiliate Marketing Payment and AI Viral Marketing Analysis System

[0108] 101: Product Tag Code Generation Section

[0109] 102: Product Payment Department

[0110] 103: Affiliate Induction Department

[0111] 104: Affiliate Analysis Department

Claims

1. In an affiliate marketing payment and AI viral marketing analysis system that is connected to a seller terminal and a consumer terminal through a network, A product tag code generation unit that receives product information and payment method from the seller terminal and generates a product tag code; A product payment unit that receives purchase information for a product tag code from a consumer terminal and generates payment information corresponding to the purchase information; An affiliate induction unit that receives induction information from a consumer terminal and transmits a product tag code corresponding to the induction information to another consumer terminal; and An affiliate marketing payment and AI viral marketing analysis system characterized by including an affiliate analysis unit that generates analysis information based on payment information and induction information corresponding to a product tag code.

2. In paragraph 1, Product information includes product name, product image, product introduction, and product price, and payment method includes at least one of card payment, cash payment, seller payment, and consumer payment. An affiliate marketing payment and AI viral marketing analysis system characterized in that the purchase information includes consumer information, product tag code, and a selected payment method, and the selected payment method is one of card payment, cash payment, seller payment, and consumer payment, and the consumer information includes consumer name, consumer age, consumer gender, consumer residence, and consumer contact information.

3. In paragraph 2, If the selected payment method is seller payment, the product payment department creates payment request information based on the purchase information corresponding to the product tag code, the selected payment method, and product information, and the payment request information consists of seller request information and consumer request information. An affiliate marketing payment and AI viral marketing analysis system characterized in that the product payment unit transmits seller request information to the seller terminal, the seller terminal receives a payment amount and transmits seller notification information including the payment amount to the product payment unit, the product payment unit generates consumer request information corresponding to the seller notification information and transmits the information to the consumer terminal, the consumer terminal transmits payment confirmation information corresponding to the consumer request information to the product payment unit, and the product payment unit generates payment information corresponding to the payment confirmation information.

4. In paragraph 2, If the selected payment method is consumer payment, the product payment department creates payment request information based on the purchase information corresponding to the product tag code, the selected payment method, and product information. An affiliate marketing payment and AI viral marketing analysis system characterized in that the product payment unit transmits payment request information to the consumer terminal, the consumer terminal receives the payment amount, and transmits payment confirmation information corresponding to the payment request information including the payment amount to the product payment unit, and the product payment unit generates payment information corresponding to the payment confirmation information.

5. In paragraph 3 or 4, An affiliate marketing payment and AI viral marketing analysis system characterized by payment information including consumer information, product name, product image, payment amount, and payment time.

6. In paragraph 2, The derived information includes the product tag code and other consumer information stored in the consumer terminal, and the other consumer information includes the other consumer name, other consumer age, other consumer gender, other consumer residence, and other consumer contact information. An affiliate marketing payment and AI viral marketing analysis system characterized in that the affiliate induction unit transmits the product tag code of the received induction information to a consumer terminal corresponding to other consumer information.

7. In paragraph 6, An affiliate marketing payment and AI viral marketing analysis system characterized in that the affiliate analysis unit connects consumer terminals that have received product tag codes to each other to create connection information, creates consumer purchase conversion information based on the connection information and payment information, and creates sales consumer information based on the consumer purchase conversion information.

8. In paragraph 7, Consumer purchase conversion information includes the number of product purchases and product purchase rates. The number of product purchases refers to the number of purchases by other consumers connected to one consumer through the transmission of the product tag code, and the product purchase rate is calculated by dividing the number of purchases by other consumers connected to one consumer through the transmission of the product tag code by the number of other consumers connected to one consumer. An affiliate marketing payment and AI viral marketing analysis system characterized in that the affiliate analysis unit selects consumers who show relatively high values ​​in the number of product purchases and product purchase rates of consumer purchase conversion information as sales consumers and generates sales consumer information based on the consumer information of the selected sales consumers.

9. In paragraph 7, An affiliate marketing payment and AI viral marketing analysis system characterized in that the affiliate analysis unit transmits sales consumer information to a seller terminal and transmits the sales consumer information to another seller terminal that wishes to sell the same type of product corresponding to the product tag code.

10. In paragraph 1, the affiliate marketing payment and AI viral marketing analysis system, Further including a login section that receives seller login information from the seller terminal, compares the seller login information with the pre-registered seller login confirmation information, and determines whether to allow the seller to log in. The login section sequentially displays eight contact areas on the screen of the seller's terminal, randomly assigns eight different notes constituting one musical scale to each of the contact areas, and when the seller touches a contact area through the seller's terminal, the note assigned to the touched contact area is output only through the earphone connected to the seller's terminal. At the same time, after the seller touches all eight contact areas and confirms the note assigned to each contact area, a tone-color display step is performed in which a plurality of different colors are displayed in random order at predetermined display time intervals in the contact area touched again by the seller. The login section performs a sound transmission step of receiving sound data corresponding to a sound assigned to the one contact area from the seller terminal when the seller touches the one contact area once and then presses the one contact area again for a predetermined period of time after a predetermined pause has passed, and a color transmission step of receiving color data corresponding to a color displayed in the one contact area when the pressing for the predetermined period of time occurs from the seller terminal. The login section repeats the above-mentioned sound-color display step, the sound transmission step, and the color transmission step. The login section performs an input data formation step of sequentially connecting sound data transmitted from the seller terminal through the sound transmission step to form sound input data, and sequentially connecting color data transmitted from the seller terminal through the color transmission step to form color input data. The login section performs a sound data verification step to check whether the sound registration data included in the seller login verification information pre-registered by the seller matches the sound input data, and performs a color data verification step to check whether the color registration data included in the seller login verification information pre-registered by the seller matches the color input data. An affiliate marketing payment and AI viral marketing analysis system characterized in that the login section allows the seller to log in when the sound registration data and the sound input data match in the sound data verification step, and when the color registration data and the color input data match in the color data verification step.

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