KR102051982B1 - Artificial intelligence utilization information analysis support system of SNS marketing sales - Google Patents

Abstract

According to an embodiment of the present invention, a system for supporting analysis of information comprises: a server which forms a partnership with a specific partner selected upon a request for determination of a partnership from a user device, provides the user device with sales goods information provided from the partner, determines that purchase has occurred as a result of confirmation of a purchase request event and a payment event of a purchaser from the user device, and requests the delivery of sales goods from a partner device; the user device which transmits, to the server, information on the request for determination of a partnership and a request for goods purchase from the purchaser generated on the basis of SNS as a user inputs the information thereto; and the partner device which uploads, to the server, information on goods to be sold. Thus, the system can provide a seller with information on establishment of a marketing strategy by a simpler method.

Description

Artificial intelligence utilization information analysis support system of SNS marketing sales}

The present invention relates to an artificial intelligence utilization information analysis support system of SNS marketing sales.

Recently, marketing and sales activities on the web including SNS have been actively performed. As a result of this trend, interests in entrepreneurship using the Internet and marketing activities using SNS are also increasing.

The present invention has been devised to provide artificial intelligence based feedback information on sales of goods made on the web including SNS.

The present invention is designed to provide a method of automatically collecting the contents of the conversation with the buyer when selling the goods made on the web, including SNS, and processing the natural language to automatically extract the order information.

The information analysis support system according to an exemplary embodiment of the present invention concludes a partnership with a specific partner company selected according to a partnership conclusion request from a user device, and provides sales item information provided from the partner company to the user device, and purchases from the user device. A server requesting delivery of purchased items to a partner company's device, a partnership execution request, and a purchaser's purchase request generated on SNS based on the purchase request event and payment payment event of A user device for transmitting information to a server as a user inputs the information; And a partner company device for uploading information on an item to be sold to the server.

According to an embodiment of the present invention, feedback information on sales using SNS may be calculated based on artificial intelligence, and thus, the information on marketing strategy establishment may be provided to the seller in a simpler manner.

1 is a diagram illustrating a configuration of an information analysis support system according to an exemplary embodiment of the present invention.
2 is a diagram illustrating a configuration of the server according to an embodiment of the present invention.
3 is a flowchart illustrating the overall operation of the information analysis support system according to an embodiment of the present invention.
4 is a flowchart illustrating a procedure for partnering in accordance with an embodiment of the present invention.
5 is a flowchart illustrating a procedure of selling goods and feeding back by an information analysis supporting system according to an exemplary embodiment of the present invention.

As the present invention allows for various changes and numerous embodiments, particular embodiments will be illustrated in the drawings and described in detail in the written description.

However, this is not intended to limit the present invention to specific embodiments, it should be understood to include all modifications, equivalents, and substitutes included in the spirit and scope of the present invention. In describing the drawings, similar reference numerals are used for similar elements.

When a component is said to be 'connected' or 'connected' to another component, it may be directly connected to or connected to that other component, but it may be understood that another component may exist in between Should be. On the other hand, when a component is said to be 'directly connected' or 'directly connected' to another component, it should be understood that no other component exists in the middle.

The terminology used herein is for the purpose of describing particular example embodiments only and is not intended to be limiting of the present invention. Singular expressions include plural expressions unless the context clearly indicates otherwise. In this application, the terms 'comprise' or 'have' are intended to indicate that there is a feature, number, step, action, component, part, or combination thereof described in the specification, and one or more other features. It is to be understood that the present invention does not exclude the possibility of the presence or the addition of numbers, steps, operations, components, components, or a combination thereof.

1 is a diagram illustrating a configuration of an information analysis support system according to an exemplary embodiment of the present invention.

As shown in FIG. 1, the information analysis support system according to an exemplary embodiment of the present invention may include a server 100, a user device 200, and a partner company device 300.

The server 100 may serve to mediate a partnership between a user and a partner company. To this end, the server 100 may receive information on sales items that the user wants to sell and promote through SNS, and the server 100 may present a list of businesses corresponding to the sales items input by the user. For example, assuming that the user requested 'children's clothing' as an item to sell, the server 100 may present a list of partner companies in charge of selling children's clothing.

The server 100 may perform a partnership with a selected partner company according to a user's partner company selection. The server 100 may support a user to receive information on sellable items from a partner company after a partnership is concluded. The user may perform the sales and promotion activities by processing the information on the sale goods provided by the partner company with the user device 200 and uploading the information on the personal SNS.

After that, the user uploads photos and articles for promotion and sales to his or her SNS based on the information on the items sold by the partner company through the server 100, so that the user can check the inquiries and purchase requests generated through the SNS. . According to various embodiments of the present disclosure, when the user confirms that a query and a purchase request received through the SNS of the user account are generated, the user may provide the generated purchase related information to the server 100. Accordingly, the server 100 may collect the purchase related information by monitoring while the user checks his or her SNS.

The server 100 not only collects purchase-related information by monitoring the operation of the user device 200 by the user for a preset time, but also the server 100 provides the user with an app or web supported by the server 100 through the user device 200. Relevant information may be collected through an operation of directly inputting purchase related information on the screen. The server 100 may analyze the user's purchase pattern and the preferred item related information based on artificial intelligence based on the collected purchase related information. The information calculated based on the artificial intelligence may be provided for feedback to the user device 200 and the partner company 300, so that the user and the partner company may refer to the feedback information when establishing a promotional strategy and a product purchase plan. Will be.

In addition, when the server 100 checks the purchase request event delivered by the user, the server 100 may transmit the same to the partner company to request that the partner company deliver the corresponding item. In addition, the server 100 may control to allocate to the user a commission calculated at a predetermined ratio (or a predetermined amount per sale) of the sales amount whenever the goods are sold.

According to various embodiments of the present disclosure, when the user becomes a 'recommended person', the server 100 may also allocate a predetermined commission to the user who becomes the recommender. According to an embodiment of the present invention, a user who has completed the start-up and marketer education provided by the server 100 may perform a full sale of paid education (start-up and marketer education provided by the server 100) to a specific person through an SNS account operated by the user. In this case, a user may be entitled to a commission. In this case, a user who has a right to receive the commission may be referred to as a 'recommended person'. Accordingly, the server 100 may distinguish a commission to be paid in response to the sale of goods to a user and a commission to be paid according to the 'recommended person' and perform commission payment.

2 is a diagram illustrating a configuration of the server 100 according to an embodiment of the present invention.

As illustrated in FIG. 2, the server 100 according to an embodiment of the present invention may include a communication unit 110, a storage unit 120, and a controller 130. The controller 130 may include a user education management unit 131, a partnership conclusion unit 132, a sales article information processing unit 133, a purchase information processing unit 134, an artificial intelligence analysis unit 135, and a commission management unit 136.

First, the communication unit 110 may use a network for data transmission and reception between a user device and a server, and the type of the network is not particularly limited. The network may be, for example, an IP (Internet Protocol) network providing a transmission / reception service of a large amount of data through an Internet protocol (IP), or an All IP network integrating different IP networks. The network may include a wired network, a wireless broadband network (WBRO), a mobile communication network including WCDMA, a mobile communication network including a high speed downlink packet access (HSDPA) network and a long term evolution (LTE) network, and an LTE advanced (LTE-A) network. ), Or one of a mobile communication network including 5G (Five Generation), a satellite communication network and a Wi-Fi network, or a combination of at least one of them.

The communication unit 110 according to an embodiment of the present invention may receive information related to a sale item from a partner company. The communicator 110 may receive information on a purchase request generated through SNS from the user side and information monitored through other user SNS through wireless communication.

In addition, the communication unit 110 may receive various data required for data mining based on artificial intelligence. For example, data required for AI-based analysis may include a user's (member's) SNS posts, comments, conversations with buyers, and the like. The data required for the AI-based analysis may include SNS account or SNS post information having topicality (eg, may be determined based on the number of views, the number of comments, the number of followers, etc.) above a predetermined reference value. In addition, the data required for AI-based analysis may include information such as real-time search terms, news articles, broadcast clips, etc. of the portal site. In addition, the data required for AI-based analysis may include information such as sales items and reviews of Internet shopping malls.

The storage unit 120 may include an internal memory or an external memory. The internal memory may be, for example, volatile memory (for example, dynamic RAM (DRAM), static RAM (SRAM), or synchronous dynamic RAM (SDRAM), etc.), non-volatile memory (for example, OTPROM (one). time programmable ROM (PROM), programmable ROM (PROM), erasable and programmable ROM (EPROM), electrically erasable and programmable ROM (EEPROM), mask ROM, flash ROM, flash memory (such as NAND flash or NOR flash), hard drives, Or it may include at least one of a solid state drive (SSD).

The external memory may be a flash drive such as compact flash (CF), secure digital (SD), micro secure digital (Micro-SD), mini secure digital (mini-SD), extreme digital (XD), It may further include a multi-media card (MMC) or a memory stick. The external memory may be functionally and / or physically connected to the electronic device through various interfaces.

The storage unit 120 according to an embodiment of the present invention may store a result value calculated based on artificial intelligence. In addition, the storage unit 120 may store information collected from various portals and SNSs for data mining.

In addition, the storage unit 120 may store educational content related to the sale of goods by the user through SNS.

The storage unit 120 may store the sales goods related information received from the partner company.

The controller 130 may also be referred to as a processor, a controller, a microcontroller, a microprocessor, a microcomputer, or the like. On the other hand, the control unit may be implemented by hardware (hardware) or firmware (firmware), software, or a combination thereof.

In the case of implementation by firmware or software, an embodiment of the present invention may be implemented in the form of a module, procedure, function, etc. that performs the functions or operations described above. The software code may be stored in a memory and driven by the controller. The memory may be located inside or outside the user terminal and the server, and may exchange data with the controller by various known means.

According to an embodiment of the present disclosure, the controller 130 may include a user education manager 131, a partnership fastener 132, a sales item information processor 133, a purchase information processor 134, an artificial intelligence analyzer 135, and a commission manager 136.

First, the user education manager 131 may perform a series of operations for matching a mentor who can be educated 1: 1 in response to a user's education request. The user education manager 131 may receive information on a sales interest field, a main SNS type, etc. from the user, and may match an appropriate education program and an educator (mentor) in response thereto. In addition, if the user wants to set up a specific member he or she found through SNS as an educator, the user can enter a desired educator ID or identification number on the server 100, and the user education management unit 131 requests such a request. You can combine the mentors and mentees.

Thereafter, the user education management unit 131 may manage the progress of the training after the mentor and the mentee are connected in a 1: 1 manner, and the contents of training may relate to a method of operating a mall through entrepreneurship and SNS. Information related to the training may be made by using an instant messenger or a telephone. The user training manager 131 checks the number of times the training is carried out by these means, the type of content delivered from the mentor to the mentee, and determines whether the training is completed. can do. In addition, according to various embodiments of the present disclosure, the user education manager 131 may educate users who want to be directly trained on the basis of educational contents uploaded by mentors who have completed the training provided by the server 100. It can be treated as having completed training on mentees that meet the evaluation criteria. The user education management unit 131 may grant a right to train another user when a user who has completed the training provided by the server 100 satisfies an immediate or additional schedule standard (eg, product sales history, etc.). .

The training may be paid, and a part of the training fee obtained from the user who wants to complete the training may be paid as a commission for the implementation of the training to the mentor who performed the training and the recommender who invited the mentee. According to various embodiments of the present disclosure, the mentor and the recommender may be the same person, may not be the same person, and if the same person is not the same person, commissions for the mentor and the recommender may be set to different amounts.

On the other hand, if the user training management unit 131 entitles the user who has completed the training to perform the training to other users, the user may perform an activity for recruiting other users who will perform the marketer activity to receive the commission. According to various embodiments of the present disclosure, when a specific user for completing the training inputs the training request to the server 100, the recommender information may be registered together, and at the same time, the recommender may be designated as a mentor. In this manner, as soon as the mentee-mentor relationship is established, the user education management unit 131 may monitor the mentor's education activity on the mentee, or the mentor may report its education activity to the server 100 side. The user education management unit 131 may check the reported training activity, evaluate vulnerabilities and strengths of the mentee, and recommend additional training materials for supplementing the vulnerabilities.

If the user education management unit 131 confirms that the user has completed the training course, the user education management unit 131 may grant a qualification to execute a partnership with any company.

The partnership fastening unit 132 may provide a list of goods sellers corresponding to information related to the sales item field of the user, and may transmit a partnership conclusion request to the device of the corresponding company as the user selects a specific company. The partnership fastener 132 confirms that both the user and the company agree to the partnership, and in response, may perform an operation for establishing the partnership between them. For example, the partnership fastening unit 132 may provide sales-related information to the user device immediately after uploading sales-related information such as photographs, size information, and delivery information about sales items provided by a partner company or upon user's request. Can be.

In addition, the partnership execution unit 132 may determine the main visitor type of the user account based on the comments of other accounts registered on the SNS of the user account, the posted content, etc. according to various embodiments of the present disclosure. It may calculate matching products and types of matching partners, and provide recommended partner company information.

The sales item information processing unit 133 may perform an operation of confirming that information about sales items is uploaded to the server 100 from a plurality of partner companies. In this case, the information on the sales items provided by the partner companies may be in a form in which only essential information (eg, size, price, color, etc.) is described, not processed in order to satisfy actual purchasers' purchase needs. Accordingly, the user may perform the promotion and sales promotion activities by receiving the information on the goods to be sold by the information transferring operation performed by the goods to be sold information processing unit 133 and then processing them and uploading them on their SNS. .

Thereafter, on the SNS of the user, a purchase request for a specific product may occur after the promotion and sales promotion activity is performed. Accordingly, the user may check a purchase request (eg, a purchase request message received through an SNS messenger) made on his SNS, and input a purchase request to the server. In this case, the purchase information processor 134 may confirm that information on a purchase request input by the user is input, and may perform a subsequent operation corresponding thereto. For example, the purchase information processing unit 134 may check information (eg, size, quantity, etc.) about a product requested to be purchased, a vendor of the product requested to be purchased, and the like based on the purchase request information input by the user. In addition, the purchase information processing unit 134 may support payment for the item requested to be purchased, for example, may support virtual account information for each company, a payment link, and the like. Accordingly, the user can provide payment information so that the sales amount corresponding to the item to be purchased can be paid to the customers who make a purchase request through their SNS.

According to various embodiments of the present disclosure, the purchase information processing unit 134 may check contact information such as a message or a comment received through the user's SNS by a user's request, collect the contents of the received contact information, and naturalize the collected content. It can be classified into items such as purchase request and product inquiry. In order to perform the monitoring and information collection function, the purchase information processing unit 134 may activate the monitoring function according to the selection of the monitoring function on the app or the web supported by the server 100 according to a user request. When the user performs an operation of checking the SNS comments and messages while the monitoring function is activated, the purchase information processing unit 134 automatically checks the contents of the comments and messages to extract only inquiry information (message or comment) related to the purchase request. can do. Further, the purchase information processing unit 134 may analyze the contents of the inquiry information related to the purchase request and extract detailed information such as item information, quantity, delivery time, etc., which are requested for purchase based on the result. According to various embodiments of the present disclosure, the purchase information processing unit 134 may reconfirm the extracted detail information to the user, and if the user processes the approval, the purchase information processing unit 134 may be immediately delivered to the partner company device 300 to request delivery.

Typically, an alarm signal may be provided in response to an event such as a chat message and a comment registration received in association with the user's SNS. According to various embodiments of the present disclosure, when the alarm event for the inquiry information is confirmed, the purchase information processing unit 134 may support to automatically provide an answer to the inquiry information. For example, the purchase information processing unit 134 interoperates with the user's SNS account at the user's request and automatically selects the corresponding notification contents as soon as a notification indicating that a new comment registration and message receiving event occurs has occurred, and the corresponding contact information (comments and Message) can be displayed on the screen. Accordingly, the purchase information processing unit 134 may check the contents displayed on the screen with respect to the inquiry information delivered to the user SNS account in real time, and collect and analyze the contents of the inquiry information. Thereafter, the purchase information processing unit 134 may input and provide an answer content corresponding to the analyzed inquiry content.

In addition, the purchase information processing unit 134 may distinguish between the case of automatically inputting the answer content corresponding to the inquiry content and the case where the purchase information processing unit 134 does not. For example, the user may be configured not to directly reply to a comment including the word 'price'. Accordingly, the purchase information processing unit 134 responds to a comment including the word 'price' in response to the 'price as a message'. You can enter a preset phrase, such as 'Please.' Meanwhile, the purchase information processing unit 134 may confirm that the customer inputs a comment such as 'what is the size of the L size' for the specific product image uploaded to the user's SNS (eg, Instagram). Among the registered size information (eg, S, M, L, XL, etc.), only size information corresponding to L may be automatically input as a comment.

According to various embodiments, the purchase information processor 134 analyzes the monitored comment and message information, and when it is determined that the purchase request is a purchase request, the purchase information processor 134 automatically transmits a message to the purchased user account, but includes payment related information (eg, payment link information, Bank account transfer information). In addition, the purchase information processor 134 may check whether payment is completed. The purchase information processing unit 134 may automatically transmit the completion message to the inquiry user account when the payment request and the payment are completed by the user message or comment. When the payment is completed, the purchase information processing unit 134 may deliver the purchase related information to the partner company. Accordingly, when the partner company receives the purchase related information by the purchase information processing unit 134, the partner company may proceed with the subsequent procedures such as the purchase of goods and the delivery of goods.

The order and sales process through SNS may be generally performed by the purchase information processor 134 as described above. However, the server 100 according to an embodiment of the present invention may perform the operation of calculating the feedback information using the artificial intelligence through the artificial intelligence analysis unit 135.

The artificial intelligence analysis unit 135 provides a user who sells and promotes the goods to be sold through his or her SNS, and provides information of the goods to be sold to the user, and purchases and manages the goods and delivers the items requested for purchase. It is possible to provide feedback information calculated based on artificial intelligence to all partner companies. In addition, the artificial intelligence analysis unit 135 may present decisions regarding the establishment of a sales strategy, selection of a main selling item, etc. to the user and partner companies in response to the feedback information analyzed based on the artificial intelligence. For example, the AI analyzing unit 135 may check the textual conversation data between the user 200 and the purchaser provided from the user device, and may perform AI-based analysis on the conversation data on the SNS.

The artificial intelligence analysis unit 135 mainly asks customers who purchased a specific product based on artificial intelligence, the age of consumption of the specific product, the reason for purchasing the specific product (gift, group order, etc.), and the product of interest of the specific customer. Information such as type, questions of inquiries that have increased above the threshold (eg radon), major complaint types, major returns or exchange request types can be calculated. Accordingly, the artificial intelligence analysis unit 135 may present a sales strategy based on the calculated feedback information. When the inquiry keyword increased by a predetermined percentage or more is determined to be 'fluorescent material,' the 'fluorescent material' is included. Analyzing the main questions, it can be judged that the question of the detection of the fluorescent substance has increased. In addition, the artificial intelligence analysis unit 135 may calculate a strategy for uploading a test result for detecting a fluorescent substance of a specific sales item, and may present this as feedback to a partner company. In addition, the artificial intelligence analysis unit 135 may calculate a sales strategy for emphasizing that no fluorescent substance is detected for a specific sales item, and may provide feedback of the contents to the user.

In more detail, the artificial intelligence analysis unit 135 may operate based on data mining when analyzing data and calculating feedback information. The artificial intelligence analysis unit 135, as well as inquiries and complaints received through the SNS account of the members already registered on the server 100, inquiries, complaints, etc. for each product type of the public SNS, shopping mall web page, etc. Collect information In addition, the artificial intelligence analysis unit 135 may collect the content of the posts and comments, the posts and comments of the celebrity SNS account based on the number of views, the response (for example, the number of likes, the number of comments, etc.) on the SNS. The AI analysis unit 135 may perform data mining and AI-based analysis operations for calculating result values related to major interests, purchase trends, etc. of real-time SNS users.

First, the artificial intelligence analysis unit 135 may collect SNS information that is determined that the topicality is more than a predetermined value (for example, based on the number of views and comments) among a plurality of published SNS information. Thereafter, the AI analyzing unit 135 may perform an operation of sampling information to be used for data mining among the collected SNS information. Sampling may be, for example, an operation of extracting only SNS information (eg, children's wear photos, children's photos, etc.) determined to be related to a sales field of users or a sales goods field (eg, children's clothing) of a pre-registered partner company. .

Thereafter, the artificial intelligence analysis unit 135 may perform a data conversion operation on the extracted data. At this time, the artificial intelligence analysis unit 135 may perform an operation such as deleting duplicate SNS information, and may code according to the characteristics of the collected information. For example, the artificial intelligence analysis unit 135 may assign a code according to a color of a children's clothing, a tag keyword, or the like to the sampled children's clothing images.

The artificial intelligence analysis unit 135 may perform a modeling operation for performing correlation analysis and cluster analysis on SNS information that has undergone data collection, sampling, and data conversion according to topicality. Similarly, the artificial intelligence analysis unit 135 may collect posts (eg, broadcasts, news articles, etc.) determined to be topical from general web pages other than SNS, and perform sampling, data conversion, and modeling processes through them. Can be.

As described above, the AI analysis unit 135 may perform an AI analysis operation, and thus may derive a result value for a purchase trend, an issue keyword, and the like. For example, the artificial intelligence analysis unit 135 may derive the 'fluorescent material' as a keyword related to children's clothing having increased topicality for a predetermined period of time, and the artificial intelligence analysis unit 135 may respond to the buyer's interest in the 'fluorescent material'. Can be increased and the information about this can be posted on the app and the web supported by the server 100. Accordingly, the artificial intelligence analysis unit 135 may help the user and the partner company to check the issue information related to their sale products and establish a sales strategy.

According to various embodiments of the present disclosure, the artificial intelligence analysis unit 135 may calculate main questions and additional information required by consumers about a specific product based on information collected about user inquiries and complaints. For example, if the artificial intelligence analysis unit 135 determines that a material inquiry about a specific product has occurred more than a predetermined number of times based on real-time input comment information monitored by the purchase information processing unit 134, it is determined that the material information of the corresponding product is missing. can do. In addition, the AI analyzer 135 may request a partner company to additionally provide material related information about the corresponding product. In this case, the request for providing additional information may be made through a push notification.

The commission management unit 136 may pay the user 200 the commission of a certain percentage of the sale proceeds for the completion of the purchase. In addition, the commission management unit 136 may perform an operation of calculating a commission to be allocated to a mentor and a recommender who trained the specific user when the user education management unit 131 completes payment and training for paid training of the specific user.

3 is a flowchart illustrating the overall operation of the information analysis support system according to an embodiment of the present invention.

As shown in FIG. 3, the information analysis support system may proceed to step 310 where a user's training with a partner company is concluded after step 305 of performing SNS marketing education of the user. Thereafter, the information analysis support system may proceed to step 315 in which the user acquires the product information from the partner company. Thereafter, the user goes through step 320 of promoting and selling the goods on his SNS based on the acquired goods information. When the goods are sold by the user, the information analysis support system performs step 325 of paying a user a certain commission on the sales revenue of the partner company.

4 is a flowchart illustrating a procedure for partnering in accordance with an embodiment of the present invention.

The information analysis support system according to an embodiment of the present invention may include a server 100, a user device 200, and a partner company device 300.

First, the user 200 may access the server 100 and perform operation 405 for requesting paid training. Accordingly, the server 100 may perform operation 410 for providing training material. In this case, the operation 410 includes an operation of providing training materials, an operation of confirming whether 1: 1 training with a mentor has been performed, an operation of confirming whether a report of training of a specific item has been performed by the set mentor, or the like. It may include.

Thereafter, the user 200 may perform an operation 415 for completing an education process, which may include, for example, an operation of confirming completion of an operation such as viewing and playing the provided education content. Accordingly, the user device 200 may perform operation 420 of transmitting the training completion to the server 100. When the server 100 confirms that the user has completed the training, the server 100 may perform operation 425 requesting the partner company 300 for partner information. In response, the partner company 300 may perform operation 430 of providing the company information to the server 100. Thereafter, the server 100 may perform operation 435 of providing the received partner company information to the user 200.

The operations 425 to 435 may be replaced by providing the registered partner company information in the server 100 to the user 200.

Thereafter, the user may perform operation 440 to select a feature company that wants to enter into a partnership among the partner company information provided, and when the selection information is transmitted from the user 200 to the server 100, the server 100 performs operation 450 to enter into a partnership. And performing the operation 455 of transmitting the partnership conclusion information to the partner company 300.

According to various embodiments of the present disclosure, the server 100 may analyze a user's SNS activity type and recommend appropriate sales items and partner companies in response to the analyzed type information. For example, the server 100 may calculate seller-related information, such as a user's main visitor type and interest, based on a user's age group, main tag items of SNS posts, SNS post content classification, and comment content. The server 100 may recommend suitable sales goods and partner companies based on the calculated seller related information.

5 is a flowchart illustrating a procedure of selling goods and feeding back by an information analysis supporting system according to an exemplary embodiment of the present invention.

The server 100 of the information analysis support system according to an embodiment of the present invention may perform operation 505 of signing a partnership between a user and a company by a user request. In this case, the company may be a subject who actually purchases a product to be sold to a consumer from a wholesaler, a factory, and the like, and receives a payment paid by the consumer. In addition, through the partnership with the company, the user promotes goods that are not actually purchased directly, and recruits buyers and leads actual purchases through customer response activities such as product guidance and inquiries to buyers. If these items are sold according to these activities, you can be paid commission.

After operation 505, the server 100 may perform operation 510 of confirming the item information request from the user. Accordingly, the server 100 may perform operation 515 of providing item information provided by a partner company to the user. The goods information provided by the partner company may be stored and managed in the storage unit of the server 100, and the server 100 may provide the goods information of the partner company only to users who have entered into a partnership.

Thereafter, the server 100 may perform operation 520 for determining whether a purchase of an item has occurred through the user SNS. When a buyer who has contacted via SNS has made a purchase intention, the user needs to input information about the occurrence of the buyer to the server 100 to deliver the goods. For this reason, the server 100 may determine whether a purchase request is generated through the SNS by the user. In addition, the server 100 may determine whether the purchase of the goods occurs as the payment of the sales price can be confirmed on the account and the payment system managed by the server 100.

If it is determined that the purchase of goods does not occur, the server 100 may end the process of FIG. 5. On the other hand, when the server 100 confirms that the purchase of the goods has occurred as the purchase request of the goods and the payment of the payment of the goods is confirmed, the operation 525 of acquiring the purchase related information and requesting delivery of the purchased goods to the partner company is performed. can do.

In addition, according to the purchase occurrence, the server 100 may perform operation 530 of analyzing characteristics of the buyer and the purchased item based on the acquired purchase related information. The operation 530 may be performed by the artificial intelligence analysis unit 135, and may be performed based on a purchaser's pre-purchase inquiry and other goods information purchased by the buyer.

Thereafter, the server 100 may perform operation 535 for calculating analysis information and providing feedback to a company and a user.

Although the present invention has been described in detail with reference to the above examples, those skilled in the art can make modifications, changes, and variations to the examples without departing from the scope of the invention. In short, in order to achieve the intended effect of the present invention, it is not necessary to separately include all the functional blocks shown in the drawings or to follow all the orders shown in the drawings in the order shown; Note that it may fall within the scope.

100: server
110: communication unit
120: storage unit
130: control unit
131: User Education Management Department
132: Partnership Connection
133: sales article information processing unit
134: Purchase Information Processing Unit
135: artificial intelligence analysis unit
136: Commission Management
200: user device
300: partner vendor devices

Claims (1)

In the information analysis support system including a server, a user device and a partner company device,
The server is
In accordance with the request for a partnership from the user device, the company enters into a partnership with a specific selected partner company, provides the sales item information provided from the partner company to the user device, and confirms the purchase request event and payment payment event of the buyer from the user device. Determine that a purchase has occurred and request delivery of the purchase to the partner device,
The user device
As a user enters information about a partnership conclusion request and a purchaser's request to purchase goods based on SNS, the server is transmitted to the server.
The third party device
Upload information about the goods to be sold to the server,
The server is
A communication unit for collecting information required to perform data mining based on artificial intelligence;
A storage unit which stores a result value calculated based on artificial intelligence and data mining performance data collected by the communication unit; And
In accordance with the request of the user device side, a partnership is concluded with at least one of the pre-registered partner companies, the sales goods information uploaded by the partnered partner company is provided to the user device side, and a purchase request event is received from the user device side. And a controller for requesting delivery of the item requested for purchase to a partner company device according to the confirmation and confirming a payment event of the sale amount, and controlling a portion of the sale amount to be allocated to the user device as a commission.
The control unit
In response to a user request, a partnership with a specific merchandise vendor may be established, and the visitor type is determined based on the comments and pre-registered posted contents of other accounts registered on the SNS of the user account, and is matched with the visitor type. A partnership conclusion unit for calculating and recommending a product for sale and a suitable partner type;
It collects the contents included in the messages and comments received through the user's SNS account, and classifies the collected contents into purchase requests and product inquiry items. A purchase information processing unit which extracts the detailed information to be delivered to the partner company device;
Collects SNS posts whose topicality is determined to be greater than or equal to a preset value based on at least one of the number of views and comments, and samples only the posts of the collected SNS posts that are related to the field of sale of registered partners. , Derive purchase trends and issue keywords by assigning codes based on the color of the sampled posts and tag keywords.
Based on the real-time input comment information, if the customer's specific question about the product is determined to have occurred more than a predetermined number of times, the artificial intelligence that requests the partner device through the push notification to provide additional information corresponding to the question An analysis unit;
In response to the user's training request, the user training management to match the user mentors 1: 1 with the user, and confirms that the training course for the user has been completed by the mentor, the user education management unit for granting the partnership qualification for the user; includes; Artificial intelligence utilization information analysis support system of SNS marketing sales, characterized in that.

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