KR102576123B1 - Product marketing linkage system and method - Google Patents

Abstract

A system and method for linking product group purchases is provided. In an embodiment of the present invention, the product group purchase linkage system is connected to a user terminal and a shopping mall server, receives marketing request information from the user terminal, and provides marketing linkage for the product, wherein the marketing request information is provided. and an external information acquisition unit configured to acquire necessary indicators as external information. a marketing information pre-processing unit that generates a required marketing target index using the external information and selects a marketing type; and a group purchase linkage unit that obtains product inventory information for group purchase, selects a group purchase representative, and connects the group purchase to perform the group purchase, wherein the necessary indicators include shopping mall information and public indicators obtained from the shopping mall server. It is obtained using a product exposure algorithm created using .

Description

Product group purchase linkage system and method {Product marketing linkage system and method}

The present invention relates to a product group purchase linkage system and method. In particular, when a user requests marketing of his/her product registered in a shopping mall, marketing request information is analyzed and marketing linkage is established to perform marketing such as group purchase according to indicators. It relates to a system and method for linking product group purchasing.

Recently, online shopping malls have become widely distributed due to the rapid development of wired and wireless communication technology and the expansion of the communication network on which it is based. An online shopping mall is a representative form of e-commerce using the Internet. Off-line stores are implemented as virtual stores on the Internet, and visitors (buyers) access the Internet and analyze various types of products displayed in the online store. It allows you to conveniently purchase the product you want through product evaluation and comparative quotes with the same product from other stores.

In these online shopping malls, sellers may conduct group purchases if they wish. In group purchases, there is a representative, and when a certain number of group purchase applicants are recruited, they can purchase at a lower price or order the product to purchase the product they want. This is a way to make it happen. In the case of group purchasing, it mainly occurs due to the will of consumers who want to make a group purchase rather than the will of the seller.

For sellers, if the expiration date is approaching or there is a need for inventory management, marketing may be necessary to encourage inventory depletion through sales. However, in the case of online shopping malls, unlike existing offline stores, it is difficult to conduct offline sales. In addition, there is a problem that it is difficult to induce consumers to purchase even if there is a sale.

Korean Patent Publication No. 10-2020-0119746

In order to solve the problems of the prior art as described above, an embodiment of the present invention determines the type of marketing according to the user's request, generates information related to group purchasing using necessary indicators, performs group purchasing, and performs group purchasing. We aim to provide a product group purchase linkage system and method that allows users to update information related to group purchases by accumulating results.

According to one aspect of the present invention to solve the above problems, a product group purchase linkage system is provided that is connected to a user terminal and a shopping mall server, receives marketing request information from the user terminal, and provides marketing linkage for products.

The product group purchase linking system includes an external information acquisition unit configured to obtain the marketing request information and necessary indicators as external information; a marketing information pre-processing unit that generates a required marketing target index using the external information and selects a marketing type; and a group purchase linkage unit that obtains product inventory information for group purchase, selects a group purchase representative, and connects the group purchase to perform the group purchase, wherein the necessary indicators include shopping mall information and public indicators obtained from the shopping mall server. It is obtained using a product exposure algorithm created using .

The external information acquisition unit may include a marketing request information acquisition module configured to acquire the marketing request information; and a necessary indicator acquisition module configured to obtain the necessary indicator from the product exposure algorithm, wherein the marketing request information may include at least one of marketing request product information, marketing budget, and product inventory information.

The marketing information pre-processing unit includes a marketing target index generation module configured to generate a marketing target index by analyzing the marketing request information and the necessary index, respectively; And configured to compare the marketing target index and the marketing request information to select a requested marketing type included in the marketing request information, or to suggest a necessary marketing type to the user terminal to obtain the selected marketing type from the user terminal. It includes a marketing type selection module; the marketing type may be any one of advertising, purchasing experience group, and group purchasing.

The group purchase linkage unit includes a product inventory information acquisition module configured to acquire the product inventory information to perform the group purchase; a group purchase-related information selection module configured to select at least one of the group purchase representative, a promotional channel used, and a target sales volume through the group purchase as group purchase-related information for the group purchase of the product; and a group purchase result learning module configured to update information about the group purchase representative by evaluating group purchase results and accumulating learning when the group purchase is terminated.

The product inventory information includes at least one of product expiration date, remaining product quantity, and product quality status, and the group purchase-related information selection module proposes at least one discount rate for the product according to the product inventory information, and the user It can be formed to determine the discount rate according to the decision.

The group purchase-related information selection module induces product exhaustion by increasing the discount rate for products close to the expiration date when the product has an expiration date, and when the expiration date does not exist, the discount rate for products with a distant manufacturing date It can be formed to increase product exhaustion.

The group purchase-related information selection module uses existing cumulative learned data among a plurality of group purchase representative candidates included in the group purchase representative candidate pool to determine whether there is a past group purchase history for the product included in the marketing request information. The group purchasing representative is selected and obtained from preliminary group purchasing representative candidates, and if the marketing request information includes representative direct selection information, the preliminary group purchasing representative candidates, the past group purchasing history, and each representative candidate. After providing the group purchase evaluation result to the user terminal, the group purchase representative selected from the user terminal is obtained, and if the request information is not obtained from the user terminal, the marketing included in the marketing request information It may be configured to obtain the group purchasing representative candidate corresponding to the budget as the selected group purchasing representative.

The group purchase-related information selection module may be configured to further use a promotional channel further included in the marketing request information to obtain the selected group purchase representative.

The group purchase result learning module is configured to obtain and evaluate the group purchase result to generate and store the group purchase evaluation result, and the group purchase evaluation result includes the promotional channel utilization rate, group purchase goal achievement period, and group purchase end. It may be formed to include at least one of post-repurchase rate, discount rate compared to list price, sales volume, and representative commission.

According to one aspect of the present invention, a product group purchase linkage method is provided that is connected to a user terminal and a shopping mall server, receives marketing request information from the user terminal, and provides marketing linkage for products.

The product group purchase linkage method includes acquiring the marketing request information and necessary indicators as external information using an external information acquisition unit; Generating a required marketing target index using the external information through a marketing information preprocessor and selecting a marketing type; and obtaining product inventory information for group purchase using a group purchase linkage unit, and selecting a group purchase representative to perform the group purchase, wherein the necessary indicator is shopping mall information acquired from the shopping mall server. And it is obtained using a product exposure algorithm generated using public indicators.

Obtaining the marketing request information and necessary indicators as external information includes: acquiring the marketing request information; and obtaining the necessary indicator from the product exposure algorithm, wherein the marketing request information may include at least one of marketing request product information, marketing budget, and product inventory information.

The step of selecting the marketing type includes analyzing the marketing request information and the necessary index to generate a marketing target index; and comparing the marketing target index with the marketing request information to select a requested marketing type included in the marketing request information or proposing a necessary marketing type to the user terminal to obtain the selected marketing type from the user terminal. Includes, and the marketing type may be any one of advertising, purchase experience group, and group purchase.

The step of linking to perform the group purchase may include obtaining the product inventory information to perform the group purchase; For group purchasing of the product, selecting at least one of the group purchasing representative, the promotional channel used, and the target sales volume through the group purchasing as group purchase-related information; And when the group purchase is terminated, evaluating group purchase results and accumulating learning to update information about the group purchase representative.

The product inventory information includes at least one of product expiration date, remaining product quantity, and product quality status, and the group purchase-related information selection module proposes at least one discount rate for the product according to the product inventory information, and the user It can be formed to determine the discount rate according to the decision.

In the step of selecting the group purchase-related information, if the product has an expiration date, the discount rate for products close to the expiration date is increased to induce product exhaustion, and if the expiration date does not exist, the product has a distant manufacturing date. It can be formed to induce product exhaustion by increasing the discount rate.

In the step of selecting the group purchase-related information, the past group purchase history for the product included in the marketing request information is performed using existing cumulative learned data among a plurality of group purchase representative candidates included in the group purchase representative candidate pool. The group purchasing representative is selected and obtained from existing preliminary group purchasing representative candidates, and if the marketing request information includes representative direct selection information, the preliminary group purchasing representative candidates, the past group purchasing history, and each representative. After providing the group purchase evaluation results for candidates to the user terminal, the group purchase representative selected from the user terminal is obtained, and if the request information is not obtained from the user terminal, it is included in the marketing request information. It may be configured to obtain the group purchasing representative candidate corresponding to the designated marketing budget as the selected group purchasing representative.

The step of selecting the group purchase-related information may be configured to further utilize a promotional channel further included in the marketing request information to acquire the selected group purchase representative.

The step of updating information about the group purchase representative is configured to obtain and evaluate the group purchase result to generate and store the group purchase evaluation result, wherein the group purchase evaluation result includes the promotional channel utilization rate and group purchase goal achievement. It may be formed to include at least one of the following: period, repurchase rate after group purchase ends, discount rate compared to list price, sales volume, and representative commission.

The product group purchase linkage system and method according to an embodiment of the present invention determines the type of marketing according to the user's request, and if the determined marketing type is group purchase, obtains group purchase-related information using necessary indicators, and group purchase There is an effect of learning the performance results and reflecting them in future group purchases.

Figure 1 is a block diagram briefly showing a product group purchase linkage system according to an embodiment of the present invention.
FIG. 2 is a block diagram showing the external information acquisition unit of FIG. 1.
Figure 3 is a block diagram showing the marketing information pre-processing unit of Figure 1.
Figure 4 is a block diagram showing the group purchase linkage unit of Figure 1.
Figure 5 is a flowchart showing a method of linking product group purchasing according to an embodiment of the present invention.
Figure 6 is a flowchart showing step S111 of Figure 5.
Figure 7 is a flowchart showing step S113 of Figure 5.
Figure 8 is a flowchart showing step S115 of Figure 5.

Hereinafter, with reference to the attached drawings, embodiments of the present invention will be described in detail so that those skilled in the art can easily implement the present invention. The present invention may be implemented in many different forms and is not limited to the embodiments described herein. In order to clearly explain the present invention in the drawings, parts not related to the description are omitted, and identical or similar components are given the same reference numerals throughout the specification.

1 to 4 show a product group purchase linking system 110 according to an embodiment of the present invention. Figure 1 is a block diagram briefly showing a product group purchase linking system according to an embodiment of the present invention, Figure 2 is a block diagram showing the external information acquisition unit of Figure 1, and Figure 3 is a block diagram showing the marketing information pre-processing unit of Figure 1. , and FIG. 4 is a block diagram showing the group purchase linkage of FIG. 1. Hereinafter, the product group purchase linking system 110 according to an embodiment of the present invention will be described in detail using FIGS. 1 to 4.

Referring to FIG. 1, the product group purchase linking system 110 according to an embodiment of the present invention is connected to the user terminal 120 and the shopping mall server 130, and receives marketing request information from the user terminal 120. It is formed to provide marketing linkage for products. At this time, a plurality of user terminals 120 and shopping mall servers 130 may be connected. Here, the user terminal 120 may be a terminal generally owned by a business operator that operates an Internet market, and the shopping mall server 130 may be a shopping mall server where Internet markets such as Amazon, G Market, 11th Street, and Coupang can be located.

To this end, the product group purchase linkage system 110 may be formed to include an external information acquisition unit 111, a marketing information pre-processing unit 113, and a group purchase linkage unit 115.

The external information acquisition unit 111 is configured to obtain marketing request information and necessary indicators as external information. To this end, the external information acquisition unit 111 may include a marketing request information acquisition module 211 and a necessary indicator acquisition module 212, as shown in FIG. 2 .

The marketing request information acquisition module 211 is configured to obtain marketing request information. The marketing request information acquisition module 211 receives marketing request information from the user terminal 120 as external information, where the marketing request information may include at least one of marketing request product information, marketing budget, and product inventory information.

The necessary indicator acquisition module 212 is configured to acquire the necessary indicator. Here, the necessary indicator is an indicator obtained through a product exposure algorithm, and the necessary indicator acquisition module 212 may directly generate the necessary indicator, but the necessary indicator acquisition module 212 may also acquire a necessary indicator already generated externally. there is.

The product exposure algorithm can be obtained for each shopping mall server 130. This is because the indicators disclosed by each shopping mall server 130 may be different. Additionally, the product exposure algorithm may be formed to obtain a reference value for each public index necessary for changing the ranking of a product for each shopping mall server 130.

The product exposure algorithm can present quantitative standard values for quantifiable public indicators, and can obtain public indicators that are difficult to quantify by analyzing commonalities that have a positive effect on ranking changes.

A public index may be obtained for at least one shopping mall server 130. Public indicators are indicators used in the product or market ranking arrangement algorithm disclosed by each shopping mall server 130, and differences may exist for each shopping mall server 130.

Public metrics may include relevance, popularity, and trustworthiness. Here, suitability, popularity, and reliability are groupings of detailed indicators for the convenience of explaining the present invention, and the detailed indicators described later may be grouped in a different way from the embodiments of the present invention, but can also be included in a similar concept. Self-explanatory.

Suitability is an indicator that determines whether the product is suitable for the consumer's search intent, popularity is an indicator that determines whether the product is frequently sought after by consumers and sold in large quantities, and reliability is an indicator that determines whether the product information registered in the shopping mall is trustworthy. It may be an indicator that

In more detail, relevance includes at least one of product name, category, manufacturer brand, and attribute tags, popularity includes at least one of sales performance, number of reviews, recency, star rating, and number of clicks, and trustworthiness includes product name SEO and Includes at least one of the shopping mall penalties. Here, the shopping mall penalty can be interpreted to mean a penalty applied to the relevant market or product by the shopping mall.

At this time, public indicators that are difficult to quantify may be product-related information such as product description content, product representative photos, and product categories, and such product-related information is extracted from keywords included in the information through keyword extraction and other product-related information. It is also possible to extract factors related to changes in ranking through methods such as applying weights for each keyword by comparing with .

Necessary index acquisition module 212 may obtain detailed product information from accumulated shopping mall information. Product details may include detailed information about the product from product information among shopping mall information and information corresponding to the public indicator of the product. Additionally, product details are product-related information exposed to the shopping mall server 130 and may include at least one of product description content, product representative photo, product category, and product title.

The necessary indicator acquisition module 212 can predict and generate a product exposure algorithm using the obtained product details and changes in product level. As described above, the product exposure algorithm can be obtained for each shopping mall server 130, and this is because the indicators disclosed for each shopping mall server 130 may be different.

The product exposure algorithm can present quantitative standard values for quantifiable public indicators, and can obtain public indicators that are difficult to quantify by analyzing commonalities that have a positive effect on ranking changes. At this time, public indicators that are difficult to quantify may be product-related information such as product description content, product representative photos, and product categories, and such product-related information is extracted from keywords included in the information through keyword extraction in the necessary indicator acquisition module 212. Factors related to ranking changes can also be extracted through methods such as extracting and comparing with other product-related information and applying weights to each keyword.

Meanwhile, in another embodiment, the external information acquisition unit 111 may be formed to further include a product exposure algorithm enhancement module (not shown). The product exposure algorithm strengthening module may be included to strengthen the product exposure algorithm using, for example, a generative adversarial network (GAN). The product exposure algorithm is an algorithm predicted by the system of the present invention using published indicators because the accurate internal algorithm of each shopping mall server 130 cannot be obtained. Therefore, in order to increase the consistency between the predicted product exposure algorithm and the internal algorithm of the undisclosed shopping mall, the product exposure algorithm enhancement module can be formed to generate various virtual market and product data through a generative adversarial neural network.

In this case, the virtual market product data obtained through the product exposure algorithm is not linked to the shopping mall server 130, but is separated and stored together with the actual market and product data through an internal database that can be included in the system of the present invention, and product exposure The algorithm enhancement module uses data contained in the internal database to create a virtual product ranking for each shopping mall. Afterwards, when the product exposure algorithm enhancement module confirms that the same information as the virtual market product data has been created through the shopping mall information, it compares the ranking of the actual market and product data with the ranking of the virtual market product data and reports the comparison result. Through analysis, product exposure algorithms can be supplemented and strengthened.

The necessary indicator acquisition module 212 is configured to acquire keywords or tags from the user terminal. The necessary indicator acquisition module 212 recommends keywords that satisfy preset conditions to the user in order to suggest marketing information to the user in the marketing information pre-processing unit 113, which will be described later, and acquires the keyword selected by the user from among the recommended keywords. can do. Here, keywords recommended to the user may be customized to the user, and for example, may be keywords related to the user's market information and product information registered in the market.

Recommended keywords transmitted from the necessary index acquisition module 212 to the user terminal 120 are transmitted as recommended keyword information, and the recommended keyword information may include a keyword and marketing auxiliary information for the keyword. Marketing assistance information may include the search volume of the keyword, the number of products containing the keyword, the intensity of competition for the keyword, and the average number of reviews on page 1 for products containing the keyword, which allows users to analyze recommended keywords. Thus, a desired keyword can be selected through the user terminal 120, and the necessary index acquisition module 212 can acquire the keyword selected by the user.

Here, recommended keywords with preset conditions may be core keywords with a certain number of views or more, small and medium-sized keywords with a certain number of products or less, and tags used by products with a popularity of the corresponding shopping mall above a certain standard.

The necessary index calculation module 271 receives the selected keywords selected by the user, receives the selected keywords, applies the selected keywords to each shopping mall to obtain selected keyword search results, and analyzes the obtained selected keyword search results to provide the selected keyword analysis results. After being obtained, it is formed to calculate necessary indicators corresponding to the obtained selected keyword analysis results. When receiving the specific product information requested by the user and the selected keyword selected by the user, the necessary index calculation module 271 obtains the selected keyword search result from each shopping mall and then performs top exposure analysis and keyword analysis of the obtained selected keyword search result. By performing this, the selected keyword analysis results are obtained, and the necessary indicators for the product can be calculated by using the product exposure algorithm on the obtained selected keyword analysis results.

Here, the top exposure analysis may include the average monthly sales at rank 40 on page 1, average price at rank 40 on page 1, average sales at rank 40 on page 1, average monthly sales at rank 10 on page 1, average sales at rank 10 on page 1, and expected sales. , Keyword analysis may include competition intensity, brand relevance, monthly search volume (by device, age, gender), content volume (blog, cafe, intellectual), search placement, and related search words. The various analysis contents described above are specific analysis contents presented as examples of the present invention, and the present invention is not limited to the above-described analysis contents and can be formed to obtain a selection keyword analysis result using various analysis contents according to the user's settings. there is.

In addition, a necessary indicator refers to an indicator in which the current information of the product corresponding to the public indicator is less than the standard value obtained through the product exposure algorithm.

In other words, to explain it more simply, the necessary indicator acquisition module 212 applies user A's B moisturizing cream product to the product exposure algorithm, and the result of the application is 35 purchases, 20 text reviews, 15 photo reviews, and 10 favorites. , Q&A 2 (example), each value can be selected as a standard value for each required indicator.

In addition, in the case of a title or category that is not a quantitative result, the required index acquisition module 212 determines that the results applied to the product exposure algorithm may be selected as keywords and categories that should be included as the standard value of the required index or keywords and categories that should not be included. You can.

Furthermore, the necessary indicator acquisition module 212 may calculate the required value of a specific product to reach the standard value of the necessary indicator. The necessary indicator acquisition module 212 compares the current state of a specific product using the necessary indicators and reference values, and outputs the required values and conditions that the specific product must achieve as a result of the comparison as a result of the comparison.

Meanwhile, the product exposure algorithm, necessary indicators, and calculation results obtained from the necessary indicator acquisition module 212 are not obtained from the necessary indicator acquisition module 212 in other embodiments of the present invention, but externally generated necessary indicators are used to obtain the necessary indicators. It may also be passed to module 212.

The marketing information pre-processing unit 113 is configured to generate a required marketing target index using external information and select a marketing type. To this end, the marketing information pre-processing unit 113 may include a marketing target index creation module 231 and a marketing type selection module 232, as shown in FIG. 3 .

The marketing target index creation module 231 may be configured to generate a marketing target index by obtaining and analyzing marketing request information and necessary indicators, respectively. Here, the marketing goal index may be a calculation result obtained using necessary indicators, and more specifically, the necessary indicators to reach the marketing goal that the user included in the marketing request information ultimately wants to reach, and the calculation of the necessary indicators. It could be a result.

Additionally, the marketing request information may include the results of the selected keyword analysis described above. When the marketing target index generation module 231 receives the selected keyword analysis results, it may be configured to further output calculation results for top exposure using the received selected keyword analysis results and necessary indicators. Here, the calculation results may include the number of sales, reviews, favorites, and Q&A required for top exposure of the user's product using necessary indicators, selected keyword analysis results, and standard values. As an example, top exposure is the number of It may be a desired ranking, or it may basically mean being exposed on page 1 of search results.

The marketing type selection module 232 is configured to obtain a marketing type by selecting or proposing a marketing type. The marketing type selection module 232 acquires the marketing target index and marketing request information, compares the obtained target index and request information, and selects the requested marketing type included in the marketing request information, or uses the user terminal 120 to select the requested marketing type. It may be configured to obtain a selected marketing type from the user terminal 120 by suggesting a marketing type. Here, the marketing type may be any one of advertising, purchasing experience group, and group purchasing.

Additionally, the marketing type selection module 232 may generate marketing information including selected keyword analysis results and calculation results and transmit it to the user terminal. Here, the selected keyword analysis results included in the marketing information may be the analysis results of the product group containing the user's product, shopping competitiveness index, average number of sales, average price, and average sales, and the calculation result may be the number of sales, which is a required item for top exposure. , can include the number of text reviews, photo reviews, favorites, and Q&A. In addition, the marketing information may further include a summary result summarizing the two results, and the summary result may include the expected cost, the expected period, and the total number of products in progress.

The product group purchase linkage system 110 according to an embodiment of the present invention may include a group purchase linkage unit 115. Here, the group purchase linkage unit 115 is expressed as being used only for group purchase marketing, but since it uses similar or overlapping configurations depending on the type of marketing, it is not limited to group purchase and can be used additionally in other marketing types as needed. The contents used should be explained in additional description in the same structure.

The group purchasing linkage unit 115 can obtain product inventory information for group purchasing, select a group purchasing representative, and link it to perform group purchasing. If the marketing type is advertising, product inventory information is obtained for advertising. After selecting an advertising representative, it can be linked to perform advertising. When linking with a purchase experience group, similar operations can be performed except for the configuration of selecting a representative. To this end, as shown in FIG. 4, the group purchase linkage unit 115 includes a product inventory information acquisition module 251, a group purchase-related information selection module 252, a group purchase execution module 253, and a group purchase result learning module ( 254).

The product inventory information acquisition module 251 is configured to obtain product inventory information to perform group purchasing. The product inventory information acquisition module 251 may also acquire product inventory information in order to link with an advertisement or purchase experience group. This may be used to adjust the number of advertisements, exposure frequency, etc. according to product inventory during advertising, or it may be used to manage the purchase experience group according to product inventory in the process of linking with the purchase experience group. Additionally, product inventory information may include product expiration date, product production date, remaining product quantity, product quality status, etc.

The group purchase-related information selection module 252 is formed to select information necessary for group purchase of products as group purchase-related information and perform group purchase. The group purchase-related information selection module 252 may include the group purchase representative, promotional channel used, and target sales volume through group purchase as information required for group purchase of products, and may further include a product discount rate.

The group purchase-related information selection module 252 may be configured to determine a product discount rate using product inventory information. When determining a discount rate for a group purchase, the group purchase-related information selection module 252 may suggest a plurality of discount rates to the user and determine the discount rate according to the user's decision. At this time, there may be multiple discount rates determined. .

The group purchase-related information selection module 252 may determine the discount rate using product inventory information. For example, when the group purchase-related information selection module 252 determines the discount rate using the expiration date among product inventory information, the discount rate for products with a close expiration date, that is, the expiration date is not far away, is determined to be high, and the expiration date is determined to be high. By setting a low discount rate for products that have a long remaining shelf life, users can be guided to products with a short expiration date when making group purchases.

In addition, if there is no expiration date in the product inventory information, the group purchase-related information selection module 252 determines a high discount rate for products with an old manufacturing or production date and a low discount rate for products manufactured or produced more recently. It may be possible. Furthermore, the group purchase-related information selection module 252 may determine the discount rate using necessary indicators. Additionally, the group purchase-related information selection module 252 may be configured to divide necessary indicators into certain sections and adjust the discount rate according to the rate of reaching the necessary indicators.

When the marketing type is set to advertising or purchase experience group, the group purchase-related information selection module 252 may be configured to adjust the discount rate according to the required index arrival rate.

Additionally, the group purchase-related information selection module 252 may use a group purchase representative candidate pool (not shown) to select a group purchase representative. The group purchase-related information selection module 252 uses existing cumulative learned data among a plurality of group purchase representative candidates included in the group purchase representative candidate pool to select a group that has a group purchase history for the product included in the marketing request information. Purchasing representative candidates can be selected as preliminary group purchasing representative candidates, and group purchasing representatives can be obtained from the selected preliminary group purchasing representative candidates. This operation is applicable even when the marketing request is an advertisement rather than a group purchase, and in the case of a purchase experience group, this operation may not be performed because representativeness is not required.

The group purchase-related information selection module 252 analyzes marketing request information to obtain a group purchase representative. When the marketing request information includes representative direct selection information, the group purchase-related information selection module 252 transmits the preliminary group purchase representative candidates including the respective group purchase evaluation results to the user terminal 120, and ) You can obtain a joint purchasing representative from.

Additionally, if the marketing request information does not include representative direct selection information, the group purchase-related information selection module 252 may obtain a group purchase representative corresponding to the marketing budget further included in the marketing request information. In addition, the group purchase-related information selection module 252 may limit the promotional channels used to obtain group purchase representatives and allow the user to proceed with the group purchase using the desired promotional channel.

The group purchase execution module 253 may be configured to perform a group purchase using the group purchase-related information selected in the group purchase-related information selection module 252. In particular, the group purchase execution module 253 may be configured to adaptively manage group purchases to manage the user's market ranking. Hereinafter, for convenience of explanation, a method of managing the number of connected people to adaptively manage group purchases will be described. However, the group purchase performance module 253 of the present invention is not limited to this, and is a method of changing the discount rate in real time. Adaptive group purchasing management can also be performed indirectly.

For example, after obtaining information related to a group purchase, the group purchase execution module 253 may provide a market connection link that can connect the group purchase representative to the user market from the usage promotion channel. Through this, the group purchase execution module 253 can identify and distinguish users who access for group purchase.

In addition, the group purchase execution module 253 acquires adaptive group purchase information including target sales volume, total group purchase progress date, and basic daily number of people in order to adaptively manage group purchase, and obtains adaptive group purchase information. The information can be used to manage the number of joint purchasers. Here, adaptive group purchase information can be obtained using the above-described necessary indicator or calculation result.

The target sales volume is the sales volume selected as the goal of group purchase, and the total group purchase progress date may be the group purchase progress period selected by the user. In particular, the target sales volume may be linked to current product inventory information. The basic daily number of participants is the target sales volume divided by the total group purchase progress days, and refers to the number of group purchasers who participate in group purchases every day to reach the group purchase target sales volume.

The group purchase execution module 253 sets the target sales amount below the current product inventory information, and when the group purchase progress period is set according to the user's selection, the target sales amount can be divided by the group purchase progress period to set the basic daily number of people. . The group purchase performance module 253 can maintain the user's market ranking positively by using the number of sales or the number of purchasers of the previous day.

To explain in more detail, the group purchase execution module 253 first obtains the number of sales or the number of purchasers of the previous day. On the first day of group purchase, if the number of products sold or the number of people purchasing the previous day is n items/person, the group purchase execution module 253 compares it with the basic daily number of people k, and after obtaining the number of people k-n in group purchase, You can prevent an increase in the number of sales or purchases through group purchases by adjusting the discount rate or blocking access of group purchasers to the market.

The next day, on the second day of group purchase, the group purchase execution module 253 obtains the number of sales or the number of purchases per person, m, obtained on the first day of group purchase, compares it with the basic daily progress number k, and then collects the Once you obtain the number of purchasers or sales volume, you can prevent an increase in the number of sales or purchasers through group purchases by adjusting the discount rate or blocking the access of group purchasers to the market.

At this time, preferably, the group purchase performance module 253 is adaptive so that the number of sales or the number of people purchasing on the previous day is smaller than the number of sales or the number of people purchasing on the day, that is, the number of sales or the number of people purchasing gradually increases as the group purchase progresses. You can manage group purchases.

To explain more simply, assume that the group purchase performance module 253 must sell 500 products in 10 days. At this time, the group purchase execution module 253 must acquire 50 people as the basic daily processing number.

The group purchase execution module 253 predicts the expected sales volume on the first day of the group purchase as 10 people or 10 if the sales result on the day before the group purchase (D-1) obtained on the first day is 10 people or 10, and 50 people or 50 To achieve sales performance, the number or number of group purchases can be limited to 50-10=40. In order to sell this, the group purchase performance module 253 can change the discount rate and limit the number of group purchasers to 40 through a link.

Next, the group purchase execution module 253 determines that if the sales result on the first day (D-day) of the group purchase acquired on the second day is 60 or 60, there are 20 genuine customers excluding 40 on the first day. , the expected sales volume for the second day can be set to 20 people. Therefore, unlike on the first day, the group purchase execution module 253 can limit the number or number of group purchases to a value excluding genuine customers who have acquired them, change the discount rate the same as on the first day, or limit the number of group purchases through the link. It may be possible. The group purchase performance module 253 can adaptively manage the group purchase by repeating the above-described operation during the group purchase period. In the case of the above-mentioned limit on the number of group purchasers, the final sales volume must increase from the previous day, so it may be limited to 65-20=45. In the present invention, for convenience of explanation, the target sales volume, which is the final sales volume increasing on the second day, is set to 65. However, this can be arbitrarily set according to the user's request, the system administrator's settings, or the ranking change index of each shopping mall.

Meanwhile, the group purchase execution module 253 can adaptively manage purchases even when the marketing type is a purchase experience group rather than a group purchase. In this case, the number of purchases is not limited, but the number of genuine customers of the previous day can be confirmed, and a preset number of purchase experience groups can be conducted so that the number of purchases on that day increases compared to the number of purchases on the previous day. At this time, if the number of genuine customers from the previous day is greater than the target number of purchases for that day, the number of purchases may be adjusted flexibly without conducting a purchase experience group on that day.

Lastly, the group purchase result learning module 254 is formed to accumulate learning by evaluating the group purchase results after the group purchase ends and to update the group purchase evaluation results for the group purchase representative. At this time, the group purchase evaluation results may include promotional channel usage rate, group purchase goal achievement period, participant's product repurchase rate after group purchase ends, discount rate compared to list price, product sales volume, representative commission, etc.

Meanwhile, Figures 5 to 8 show a method for linking product group purchase and a method for providing exposure information on shopping mall products related thereto according to an embodiment of the present invention.

Figure 5 is a flow chart showing a product group purchase linking method according to an embodiment of the present invention, Figure 6 is a flow chart showing step S111 of Figure 5, Figure 7 is a flow chart showing step S113 of Figure 5, and Figure 8 is a flow chart showing step S113 of Figure 5. This is a flowchart showing step S115 of 5. Hereinafter, for convenience of explanation, an embodiment of the present invention will be described using the system shown in FIGS. 1 to 4 described above, but the present invention is not necessarily limited thereto.

The marketing linkage method 500 according to an embodiment of the present invention receives request information from a user terminal, provides results corresponding to the requested information to the user terminal, and obtains and processes related information from a plurality of shopping mall servers. is formed Referring to FIG. 9, the product group purchase linkage method 500 may be formed to include a step of acquiring external information (S111), a step of preprocessing marketing information (S113), and a step of linking to group purchase (S115). there is.

The step of acquiring external information (S111) is formed to obtain marketing request information and necessary indicators as external information using an external information acquisition unit. To this end, step S111 may include a step of obtaining marketing request information (S211) and a step of obtaining necessary indicators (S212), as shown in FIG. 10.

The step of acquiring marketing request information (S211) is configured to obtain marketing request information. Step S211 receives marketing request information from the user terminal as external information, where the marketing request information may include at least one of marketing request product information, marketing budget, and product inventory information.

The step of acquiring the necessary indicator (S212) is designed to obtain the necessary indicator. Here, the necessary indicator is an indicator obtained through a product exposure algorithm, and step S212 may directly generate the necessary indicator, but a necessary indicator already generated externally may be obtained in step S212.

Product exposure algorithms can be obtained for each shopping mall server. This is because the indicators released by each shopping mall server may be different. Additionally, the product exposure algorithm can be formed to obtain a reference value for each public index necessary for changing the ranking of products for each shopping mall server.

The product exposure algorithm can present quantitative standard values for quantifiable public indicators, and can obtain public indicators that are difficult to quantify by analyzing commonalities that have a positive effect on ranking changes.

A public index can be obtained for at least one shopping mall server. Public indicators are indicators used in the product or market ranking algorithm disclosed by each shopping mall server, and differences may exist for each shopping mall server.

Public metrics may include relevance, popularity, and trustworthiness. Here, suitability, popularity, and reliability are groupings of detailed indicators for the convenience of explaining the present invention, and the detailed indicators described later may be grouped in a different way from the embodiments of the present invention, but can also be included in a similar concept. Self-explanatory.

Suitability is an indicator that determines whether the product is suitable for the consumer's search intent, popularity is an indicator that determines whether the product is frequently sought after by consumers and sold in large quantities, and reliability is an indicator that determines whether the product information registered in the shopping mall is trustworthy. It may be an indicator that

In more detail, relevance includes at least one of product name, category, manufacturer brand, and attribute tags, popularity includes at least one of sales performance, number of reviews, recency, star rating, and number of clicks, and trustworthiness includes product name SEO and Includes at least one of the shopping mall penalties. Here, the shopping mall penalty can be interpreted to mean a penalty applied to the relevant market or product by the shopping mall.

At this time, public indicators that are difficult to quantify may be product-related information such as product description content, product representative photos, and product categories, and such product-related information is extracted from keywords included in the information through keyword extraction and other product-related information. It is also possible to extract factors related to changes in ranking through methods such as applying weights for each keyword by comparing with .

Step S212 may obtain detailed product information from accumulated shopping mall information. Product details may include detailed information about the product from product information among shopping mall information and information corresponding to the public indicator of the product. Additionally, product details are product-related information exposed on the shopping mall server and may include at least one of product description content, product representative photo, product category, and product title.

Step S212 can predict and generate a product exposure algorithm using the obtained product details and changes in product level. As described above, the product exposure algorithm can be obtained for each shopping mall server, and this is because the indicators disclosed for each shopping mall server may be different.

The product exposure algorithm can present quantitative standard values for quantifiable public indicators, and can obtain public indicators that are difficult to quantify by analyzing commonalities that have a positive effect on ranking changes. At this time, public indicators that are difficult to quantify may be product-related information such as product description content, product representative photos, and product categories, and such product-related information is extracted from keywords included in the information through keyword extraction in step S212, and other products Factors related to changes in rankings can also be extracted through methods such as comparing relevant information and applying weights to each keyword.

Meanwhile, in another embodiment, step S111 may be formed to further include a step (not shown) of strengthening the product exposure algorithm. The step of strengthening the product exposure algorithm may be included to strengthen the product exposure algorithm, for example, using a generative adversarial network (GAN). The product exposure algorithm is an algorithm predicted by the system of the present invention using publicly available indicators because the accurate internal algorithm of each shopping mall server cannot be obtained. Therefore, in order to increase the consistency between the predicted product exposure algorithm and the internal algorithm of the undisclosed shopping mall, the product exposure algorithm enhancement module can be formed to generate various virtual market and product data through a generative adversarial neural network.

In this case, the virtual market product data obtained through the product exposure algorithm is not linked to the shopping mall server, but is separated and stored together with the actual market and product data through an internal database that can be included in the system of the present invention, strengthening the product exposure algorithm. The step is to create a virtual product ranking for each shopping mall using data contained in the internal database. Afterwards, in the step of strengthening the product exposure algorithm, when it is confirmed that the same information as the virtual market product data is generated through the shopping mall information, the ranking of the actual market and product data is compared with the ranking of the virtual market product data, and the comparison is made. By analyzing the results, you can also supplement and strengthen the product exposure algorithm.

The step of acquiring necessary indicators (S212) is designed to obtain keywords or tags from the user terminal. Step S212 recommends keywords that satisfy preset conditions to the user in order to suggest marketing information to the user in the marketing information preprocessing step (S113), which will be described later, and obtains the keyword selected by the user from among the recommended keywords. . Here, keywords recommended to the user may be customized to the user, and for example, may be keywords related to the user's market information and product information registered in the market.

The recommended keyword transmitted to the user terminal in step S212 is transmitted as recommended keyword information, and the recommended keyword information may include the keyword and marketing auxiliary information for the keyword. Marketing assistance information may include the search volume of the keyword, the number of products containing the keyword, the intensity of competition for the keyword, and the average number of reviews on page 1 for products containing the keyword, which allows users to analyze recommended keywords. Thus, a desired keyword can be selected through the user terminal, and step S212 may acquire the keyword selected by the user.

Here, recommended keywords with preset conditions may be core keywords with a certain number of views or more, small and medium-sized keywords with a certain number of products or less, and tags used by products with a popularity of the corresponding shopping mall above a certain standard.

In step S212, the selected keyword selected by the user is received, the selected keyword is received, the selected keyword is applied to each shopping mall to obtain a selected keyword search result, and the obtained selected keyword search result is analyzed to obtain a selected keyword analysis result. A selected keyword is formed to calculate the necessary indicators corresponding to the analysis results. In step S212, upon receiving the specific product information requested by the user and the selected keyword selected by the user, the selected keyword search result is obtained from each shopping mall, and then the selected keyword is analyzed by performing top exposure analysis and keyword analysis of the obtained selected keyword search result. The results are obtained, and the necessary indicators for the product can be calculated using the product exposure algorithm based on the obtained selected keyword analysis results.

Here, the top exposure analysis may include the average monthly sales at rank 40 on page 1, average price at rank 40 on page 1, average sales at rank 40 on page 1, average monthly sales at rank 10 on page 1, average sales at rank 10 on page 1, and expected sales. , Keyword analysis may include competition intensity, brand relevance, monthly search volume (by device, age, gender), content volume (blog, cafe, intellectual), search placement, and related search words. The various analysis contents described above are specific analysis contents presented as examples of the present invention, and the present invention is not limited to the above-described analysis contents and can be formed to obtain a selection keyword analysis result using various analysis contents according to the user's settings. there is.

In addition, a necessary indicator refers to an indicator in which the current information of the product corresponding to the public indicator is less than the standard value obtained through the product exposure algorithm.

In other words, to explain it more easily, step S212 applies user A's B moisture cream product to the product exposure algorithm, and the result of the application is 35 purchases, 20 text reviews, 15 photo reviews, 10 favorites, and 2 Q&As ( Example), each value can be selected as a reference value for each necessary indicator.

In addition, in the case of a title or category that is not a quantitative result, the results of step S212 applied to the product exposure algorithm may be selected as keywords and categories that should be included or keywords and categories that should not be included as the standard value of the necessary index.

Furthermore, step S212 may calculate the required value of a specific product to reach the reference value of the required index. Step S212 compares the current state of a specific product using necessary indicators and reference values, and as a result of the comparison, required values and conditions that the specific product must achieve can be output as calculation results.

Meanwhile, the product exposure algorithm, necessary indicators, and calculation results obtained in the step of acquiring necessary indicators (S212) may not be generated in step S212 in another embodiment of the present invention, but externally generated necessary indicators may be obtained in step S212. there is.

The marketing information preprocessing step (S113) is formed to generate a required marketing target index using external information through the marketing information preprocessing unit and to select the type of marketing. To this end, the step of preprocessing the marketing information (S113) may be formed to include a step of generating a marketing target index (S231) and a step of selecting a marketing type (S232), as shown in FIG. 11.

The step of generating a marketing target index (S231) may be formed to generate a marketing target index by obtaining and analyzing marketing request information and necessary indicators, respectively. Here, the marketing goal index may be a calculation result obtained using necessary indicators, and more specifically, the necessary indicators to reach the marketing goal that the user included in the marketing request information ultimately wants to reach, and the calculation of the necessary indicators. It could be a result.

Additionally, the marketing request information may include the results of the selected keyword analysis described above. Step S231 may be configured to further output a calculation result for top exposure using the selected keyword analysis result and necessary indicators upon receiving the selected keyword analysis result. Here, the calculation results may include the number of sales, reviews, favorites, and Q&A required for top exposure of the user's product using necessary indicators, selected keyword analysis results, and standard values. As an example, top exposure is the number of It may be a desired ranking, or it may basically mean being exposed on page 1 of search results.

The step of selecting a marketing type (S232) is formed to obtain a marketing type by selecting or proposing a marketing type. Step S232 acquires the marketing target index and marketing request information, compares the obtained target index and request information to select the requested marketing type included in the marketing request information, or proposes the required marketing type to the user terminal and sends it to the user terminal. It can be configured to obtain selected types of marketing. Here, the type of marketing may be any one of advertising, purchasing experience group, and group purchasing.

In addition, step S232 may generate marketing information including selected keyword analysis results and calculation results and transmit it to the user terminal. Here, the selected keyword analysis results included in the marketing information may be the analysis results of the product group containing the user's product, shopping competitiveness index, average number of sales, average price, and average sales, and the calculation result may be the number of sales, which is a required item for top exposure. , can include the number of text reviews, photo reviews, favorites, and Q&A. In addition, the marketing information may further include a summary result summarizing the two results, and the summary result may include the expected cost, the expected period, and the total number of products in progress.

The product group purchase linkage method 500 may include a step (S115) of linkage with group purchase. Here, the step of linking with group purchasing (S115) is expressed as performing only group purchasing marketing using the group purchasing linkage, but since similar or overlapping configurations are used depending on the type of marketing, it is not limited to group purchasing and is not necessary. Accordingly, additional information used in other types of marketing should be explained in additional description in the same structure.

In step S115, product inventory information can be obtained for group purchasing using the group purchasing linkage unit, and a group purchasing representative can be selected to perform group purchasing. If the marketing type is advertising, product inventory information can be collected for advertising. After acquiring and selecting an advertising representative, it can be linked to perform advertising. When linking with a purchase experience group, similar operations can be performed except for the configuration of selecting a representative. To this end, step S115 includes obtaining product inventory information (S251), selecting group purchase-related information (S252), performing group purchase (S253), and learning group purchase results, as shown in FIG. 12. It may be configured to include a step (S254).

The step of acquiring product inventory information (S251) is designed to obtain product inventory information to perform group purchasing. Step S251 may also obtain product inventory information in order to link with advertisements or purchase experience groups. This may be used to adjust the number of advertisements, exposure frequency, etc. according to product inventory during advertising, or it may be used to manage the purchase experience group according to product inventory in the process of linking with the purchase experience group. Additionally, product inventory information may include product expiration date, product production date, remaining product quantity, product quality status, etc.

The step of selecting group purchase-related information (S252) is formed to select information necessary for group purchase of products as group purchase-related information and perform group purchase. Step S252 may include information required for group purchasing of products, such as a group purchasing representative, promotional channel used, and target sales volume through group purchasing, and may further include a product discount rate.

Step S252 may be configured to determine a product discount rate using product inventory information. When determining a discount rate for group purchase, step S252 may suggest a plurality of discount rates to the user and determine the discount rate according to the user's decision. At this time, there may be multiple discount rates determined.

Step S252 may determine the discount rate using product inventory information. For example, in step S252, when the discount rate is determined using the expiration date among the product inventory information, the discount rate for products with a close expiration date, that is, the expiration date is near, is determined to be high, and the discount rate for products with a long expiration date remaining is determined to be high. By deciding on a low price, you can lead users to products that are nearing their expiration date when making group purchases.

In addition, step S252 may determine a higher discount rate for products with an older manufacturing or production date if there is no expiration date among the product inventory information, and may determine a lower discount rate for products manufactured or produced more recently. Furthermore, step S252 may determine the discount rate using a necessary indicator. Additionally, step S252 may be configured to divide the necessary indicators into certain sections and adjust the discount rate according to the rate of reaching the necessary indicators.

When the marketing type is set to advertising or purchase experience group, step S252 may be configured to adjust the discount rate according to the required index arrival rate.

Additionally, step S252 may use a group purchasing representative candidate pool (not shown) to select a group purchasing representative. Step S252 is a preliminary group purchase of group purchase representative candidates who have a group purchase history for the product included in the marketing request information using existing cumulative learned data among a plurality of group purchase representative candidates included in the group purchase representative candidate pool. Representative candidates can be selected, and group purchasing representatives can be obtained from the selected preliminary group purchasing representative candidates. This operation is applicable even when the marketing request is an advertisement rather than a group purchase, and in the case of a purchase experience group, this operation may not be performed because representativeness is not required.

Step S252 analyzes marketing request information to obtain a group purchasing representative. When the marketing request information includes representative direct selection information, step S252 transmits preliminary group purchase representative candidates, including their respective group purchase evaluation results, to the user terminal, and obtains a group purchase representative from the user terminal.

Additionally, if the marketing request information does not include representative direct selection information, step S252 may obtain a joint purchasing representative corresponding to the marketing budget further included in the marketing request information. In addition, in step S252, the promotional channels to be used may be limited to obtain a group purchase representative, allowing the user to proceed with the group purchase using the desired promotional channel.

The step of performing a group purchase (S253) may be configured to perform a group purchase using the group purchase-related information selected in step S252. In particular, step S253 may be configured to adaptively manage group purchases to manage the user's market ranking. Hereinafter, for convenience of explanation, a method of managing the number of connected people to manage group purchases in an adaptive manner will be described. However, step S253 of the present invention is not limited to this, and is indirectly adaptive by changing the discount rate in real time. Joint purchasing management can also be performed.

For example, in step S253, after obtaining information related to the group purchase, a market connection link that can connect the group purchase representative to the user market in the usage promotion channel may be provided. Through this, step S253 can identify and distinguish connecters who connect for joint purchase.

In addition, step S253 acquires adaptive group purchase information including target sales volume, total group purchase progress days, and basic daily number of people in order to adaptively manage group purchase, and uses the acquired adaptive group purchase information to manage group purchase adaptively. You can manage the number of purchasers. Here, adaptive group purchase information can be obtained using the above-described necessary indicator or calculation result.

The target sales volume is the sales volume selected as the goal of group purchase, and the total group purchase progress date may be the group purchase progress period selected by the user. In particular, the target sales volume may be linked to current product inventory information. The basic daily number of participants is the target sales volume divided by the total group purchase progress days, and refers to the number of group purchasers who participate in group purchases every day to reach the group purchase target sales volume.

In step S253, when the target sales volume is set below the current product inventory information and the group purchase progress period is set according to the user's selection, the basic daily number of people can be set by dividing the target sales volume by the group purchase progress period. Step S253 can maintain the user's market ranking positively by using the number of sales or the number of purchasers of the previous day.

In more detail, step S253 first obtains the number of sales or the number of people purchasing the previous day. If, on the first day of group purchase, the number of products sold or the number of people purchasing the previous day is obtained as n items/person, step S253 compares it with the basic daily number of people k, and after obtaining the number of people k-n in group purchase, the discount rate is adjusted or the market You can prevent an increase in the number of sales or the number of buyers through group purchasing by blocking the access of those wishing to make a group purchase.

The next day, on the second day of group purchasing, step S253 obtains the number of sales or the number of purchases per person, m, obtained on the first day of group purchasing, compares it with the basic daily progress number k, and obtains the number of group purchases equal to k-m. Or, if sales volume is obtained, the discount rate can be adjusted equally or the access of group purchasers to the market can be blocked to prevent an increase in the number of sales or number of buyers through group purchases.

At this time, step S253 preferably manages the group purchase adaptively so that the number of sales or the number of people purchasing on the previous day is smaller than the number of sales or the number of people purchasing on the day, that is, the number of sales or the number of people purchasing gradually increases as the group purchase progresses. can do.

To put it more simply, assume that step S253 requires 500 products to be sold in 10 days. At this time, step S253 requires 50 people as the basic daily progress.

In step S253, if the sales result on the day before the group purchase (D-1) obtained on the first day is 10 people or 10, the expected sales volume on the first day of the group purchase is predicted to be 10 people or 10, and the sales performance of 50 people or 50 is obtained. For this reason, the number or number of group purchases can be limited to 50-10=40. To sell it, step S253 can change the discount rate and limit the number of group purchases through the link to 40 people.

Next, in step S253, if the sales result on the first day (D-day) of group purchase acquired on the second day is 60 or 60, it is determined that there are 20 genuine customers excluding the 40 on the first day, and the expected number on the second day is The sales volume can be set to 20 people. Accordingly, in step S253, unlike the first day, the number or number of group purchases can be limited to a value excluding genuine customers who have acquired the group purchase, and the discount rate can be changed the same as the first day or the number of group purchases through the link can be limited. In step S253, the group purchase can be adaptively managed by repeating the above-described operation during the group purchase period. In the case of the above-mentioned limit on the number of group purchasers, the final sales volume must increase from the previous day, so it may be limited to 65-20=45. In the present invention, for convenience of explanation, the target sales volume, which is the final sales volume increasing on the second day, is set to 65. However, this can be arbitrarily set according to the user's request, the system administrator's settings, or the ranking change index of each shopping mall.

Meanwhile, step S253 can manage purchases adaptively even when the marketing type is a purchase experience group rather than a group purchase. In this case, the number of purchases is not limited, but the number of genuine customers of the previous day can be confirmed, and a preset number of purchase experience groups can be conducted so that the number of purchases on that day increases compared to the number of purchases on the previous day. At this time, if the number of genuine customers from the previous day is greater than the target number of purchases for that day, the number of purchases may be adjusted flexibly without conducting a purchase experience group on that day.

Lastly, the step of learning the group purchase results (S254) is formed to evaluate the group purchase results after the group purchase ends, accumulate learning, and update the group purchase evaluation results for the group purchase representative. At this time, the group purchase evaluation results may include promotional channel usage rate, group purchase goal achievement period, participant's product repurchase rate after group purchase ends, discount rate compared to list price, product sales volume, representative commission, etc.

Although one embodiment of the present invention has been described above, the spirit of the present invention is not limited to the embodiment presented in the present specification, and those skilled in the art who understand the spirit of the present invention can add components within the scope of the same spirit. , other embodiments can be easily proposed by change, deletion, addition, etc., but this will also be said to be within the scope of the present invention.

110: Product group purchase linkage system
111: External information acquisition unit 113: Marketing information pre-processing unit
115: Group purchasing linkage unit 211: Marketing request information acquisition module
212: Necessary index acquisition module 231: Marketing target index creation module
232: Marketing type selection module 251: Product inventory information acquisition module
252: Group purchase-related information selection module
253: Group purchase performance module 254: Group purchase result learning module

Claims (18)

In a product group purchase linkage system that is connected to a user terminal and a shopping mall server, receives marketing request information from the user terminal, and provides marketing linkage for products,
an external information acquisition unit configured to obtain necessary indicators using a product exposure algorithm that inputs external information including the marketing request information, shopping mall information obtained from a shopping mall server, and public indicators;
a marketing information pre-processing unit that generates a required marketing target index using the external information and selects a marketing type; and
It includes a group purchase linkage unit that acquires product inventory information for group purchase, selects a group purchase representative, and connects to perform the group purchase;
The external information acquisition unit,
It includes a product exposure algorithm strengthening module that strengthens the product exposure algorithm using a generative adversarial network (GAN),
The product exposure algorithm enhancement module is,
Generate virtual market and product data through the Generative Adversarial Network (GAN) to generate virtual product rankings for each shopping mall,
A product collaboration characterized in that the virtual product ranking for each shopping mall and the product ranking for each actual shopping mall are compared and analyzed to supplement and strengthen the product exposure algorithm, thereby increasing the degree of consistency between the product exposure algorithm and the internal algorithm of the undisclosed shopping mall. Purchase linkage system. According to clause 1,
The external information acquisition unit,
a marketing request information acquisition module configured to obtain the marketing request information; and
It includes a necessary indicator acquisition module configured to obtain the necessary indicator from the product exposure algorithm,
A product group purchase linkage system wherein the marketing request information includes at least one of marketing request product information, marketing budget, and product inventory information. According to clause 1,
The marketing information pre-processing unit,
a marketing target index generation module configured to generate a marketing target index by analyzing each of the marketing request information and the necessary index; and
Marketing configured to compare the marketing target index and the marketing request information to select the requested marketing type included in the marketing request information, or to suggest the necessary marketing type to the user terminal to obtain the selected marketing type from the user terminal. Includes a type selection module;
The above marketing type is a product group purchase linkage system that is one of advertising, purchase experience group, and group purchase. According to clause 1,
The group purchasing linkage department,
a product inventory information acquisition module configured to obtain the product inventory information to perform the group purchase;
a group purchase-related information selection module configured to select at least one of the group purchase representative, a promotional channel used, and a target sales volume through the group purchase as group purchase-related information for the group purchase of the product; and
When the group purchase is terminated, a group purchase result learning module configured to update information about the group purchase representative by evaluating group purchase results and accumulating learning. According to clause 4,
The product inventory information includes at least one of product expiration date, remaining product quantity, and product quality status,
The group purchase-related information selection module is configured to suggest at least one discount rate for the product according to the product inventory information and determine the discount rate according to the user's decision. According to clause 5,
The group purchase-related information selection module is,
If the product has an expiration date, the discount rate for products close to the expiration date is increased to induce product exhaustion. If the expiration date does not exist, the discount rate for products with a distant manufacturing date is increased to induce product exhaustion. A product group purchase linkage system. According to clause 6,
The group purchase-related information selection module is,
Among the plurality of group purchasing representative candidates included in the group purchasing representative candidate pool, the above information is collected from preliminary group purchasing representative candidates who have a past group purchasing history for the product included in the marketing request information using existing accumulated learned data. Obtained by selecting a joint purchasing representative,
If the marketing request information includes representative direct selection information, the preliminary group purchase representative candidates, the past group purchase history, and the group purchase evaluation results for each representative candidate are provided to the user terminal, and then the user Obtaining the group purchasing representative selected from the terminal, and if the request information is not obtained from the user terminal, acquiring the group purchasing representative candidate corresponding to the marketing budget included in the marketing request information as the selected group purchasing representative. A product group purchasing linkage system formed to do so. According to clause 7,
The group purchase-related information selection module is,
A product group purchase linkage system configured to further utilize a promotional channel further included in the marketing request information to obtain the selected group purchase representative. According to clause 8,
The group purchase result learning module is,
The group purchase results are obtained and evaluated to generate and store the group purchase evaluation results, and the group purchase evaluation results include the promotional channel utilization rate, group purchase goal achievement period, repurchase rate after group purchase end, discount rate compared to list price, A product group purchase linkage system formed to include at least one of sales volume and representative commission. In the product group purchase linkage method that connects the user terminal and the shopping mall server to receive marketing request information from the user terminal and provides marketing linkage for the product,
Obtaining necessary indicators using a product exposure algorithm that inputs external information including the marketing request information, shopping mall information acquired from a shopping mall server, and public indicators through an external information acquisition unit;
Generating a required marketing target index using the external information through a marketing information preprocessor and selecting a marketing type; and
It includes obtaining product inventory information for group purchasing using a group purchasing linkage unit, selecting a group purchasing representative, and linking to perform the group purchasing;
The external information acquisition unit,
It includes a product exposure algorithm strengthening module that strengthens the product exposure algorithm using a generative adversarial network (GAN),
The product exposure algorithm enhancement module is,
Generate virtual market and product data through the Generative Adversarial Network (GAN) to generate virtual product rankings for each shopping mall,
Product collaboration is characterized by comparing and analyzing the virtual product rankings for each shopping mall and the product rankings for each actual shopping mall, supplementing and strengthening the product exposure algorithm, and increasing the degree of consistency between the product exposure algorithm and the internal algorithm of the undisclosed shopping mall. How to link purchases. According to clause 10,
The step of obtaining the marketing request information and necessary indicators as external information,
Obtaining the marketing request information; and
It includes; obtaining the necessary indicator from the product exposure algorithm,
The marketing request information includes at least one of marketing request product information, marketing budget, and product inventory information. According to clause 11,
The step of selecting the marketing type is,
generating a marketing target index by analyzing each of the marketing request information and the necessary indicators; and
Comparing the marketing target index and the marketing request information to select a requested marketing type included in the marketing request information, or proposing a necessary marketing type to the user terminal to obtain the selected marketing type from the user terminal; Includes,
The above marketing type is a product group purchase linkage method that is one of advertising, purchase experience group, and group purchase. According to clause 12,
The step of linking to perform the joint purchase is,
Obtaining the product inventory information to perform the group purchase;
For group purchasing of the product, selecting at least one of the group purchasing representative, the promotional channel used, and the target sales volume through the group purchasing as group purchase-related information; and
When the group purchase is terminated, evaluating group purchase results and accumulating learning to update information about the group purchase representative. According to clause 13,
The product inventory information includes at least one of product expiration date, remaining product quantity, and product quality status,
The group purchase-related information selection module is configured to propose at least one discount rate for a product according to the product inventory information and determine the discount rate according to the user's decision. According to clause 14,
The step of selecting the group purchase-related information is,
If the product has an expiration date, the discount rate for products close to the expiration date is increased to induce product exhaustion. If the expiration date does not exist, the discount rate for products with a distant manufacturing date is increased to induce product exhaustion. How to link product group purchases. According to clause 15,
The step of selecting the group purchase-related information is,
Among the plurality of group purchasing representative candidates included in the group purchasing representative candidate pool, the above information is collected from preliminary group purchasing representative candidates who have a past group purchasing history for the product included in the marketing request information using existing accumulated learned data. Obtained by selecting a joint purchasing representative,
If the marketing request information includes representative direct selection information, the preliminary group purchase representative candidates, the past group purchase history, and the group purchase evaluation results for each representative candidate are provided to the user terminal, and then the user Obtaining the group purchasing representative selected from the terminal, and if the request information is not obtained from the user terminal, acquiring the group purchasing representative candidate corresponding to the marketing budget included in the marketing request information as the selected group purchasing representative. A product group purchase linking method formed to do so. According to clause 16,
The step of selecting the group purchase-related information is,
A product group purchase linkage method configured to further utilize a promotional channel further included in the marketing request information to obtain the selected group purchase representative. According to clause 17,
The step of updating information about the group purchasing representative is,
The group purchase results are obtained and evaluated to generate and store the group purchase evaluation results, and the group purchase evaluation results include the promotional channel utilization rate, group purchase goal achievement period, repurchase rate after group purchase end, discount rate compared to list price, A product group purchase linking method formed to include at least one of sales volume and representative commission.