KR20220062935A - Health functional food online marketing analysis system based on artificial intelligence - Google Patents

Abstract

The present invention relates to an artificial intelligence (AI)-based system for analyzing online marketing of healthcare food. According to the present invention, the AI-based system comprises: an information collection unit collecting healthcare food product information and marketing information circulating on the market; an input unit receiving healthcare food product information to be planned from a planner terminal; a similar product analysis unit using an AI algorithm to compare the healthcare food product information to be planned with the collected healthcare food product information to extract similar healthcare food and extracting an analysis result and recommended product information for the extracted similar healthcare food; and a marketing information analysis unit analyzing marketing information for the similar healthcare food to generate marketing strategy information when the marketing plan information based on the recommended product information is received from the planner terminal. Accordingly, online data about similar products or competitive products is collected and major channels, promotion methods, targets, responsiveness, and the like are analyzed on the basis of the acquired data so that a distribution strategy can be established from a planning stage of healthcare food, and thus the most efficient marketing and distribution strategy can be built within the planner's budget.

Description

AI-based healthcare food online marketing analysis system {Health functional food online marketing analysis system based on artificial intelligence}

The present invention relates to an AI-based healthcare food online marketing analysis system, and more particularly, generates distribution strategy information by analyzing information and contents of healthcare food intervened online, and among the generated distribution strategy information It is about a healthcare food online marketing analysis system that recommends the method with the greatest marketing effect to planners.

Recently, the importance of food is emerging in the field of smart healthcare. This is because, unlike pharmaceuticals, food has a low risk of toxicity and side effects, and the fact that proper food intake is an important factor in disease prevention because it lowers the risk of disease has been proven through numerous studies. In addition, in terms of personalized health care, diet is most closely connected with an individual's daily life, making it an essential factor in smart health care.

Healthcare food requires collaboration with professional outsourcing partners to carry out manufacturing, package design, import, export, business analysis, shopping mall construction, etc. Conventionally, in order to find a corresponding partner, company information was searched through a portal site, and a contract was concluded through face-to-face consultation with the searched company.

However, with the recent global epidemic of COVID-19, social distancing or daily quarantine has become a necessity rather than an option. Therefore, in the current health care food market, digital health care platform construction is being pursued for non-face-to-face collaboration.

On the other hand, in modern times, marketing for products is actively conducted through online as well as offline. Internet marketing requires the creative and technical aspects of the Internet, including design, development, advertising and sales. Therefore, if the professional knowledge is insufficient or the analysis and understanding of the online marketing market is not properly performed, the expected results may not be obtained or failure occurs.

The technology underlying the present invention is disclosed in Korean Patent Application Laid-Open No. 10-2013-0089969 (published on August 13, 2013).

As described above, according to the present invention, health care food online marketing that generates distribution strategy information by analyzing information and contents of health care food intervened online, and recommends a method with the greatest marketing effect among the generated distribution strategy information to a planner It is intended to provide an analysis system.

According to an embodiment of the present invention for achieving this technical task, in an AI-based healthcare food online marketing analysis system, an information collection unit that collects health care food product information and marketing information distributed in the market, a planner terminal By using an input unit for receiving the desired health care food product information from the AI algorithm, the health care food product information to be planned and the previously collected health care food product information are compared to extract similar health care food, and the extraction When receiving marketing plan information based on the recommended product information from the similar product analysis unit for deriving analysis results and recommended product information for the similar health care food, and the planner terminal, marketing information for the similar health care food and a marketing information analysis unit that analyzes to generate marketing strategy information.

The similar product analysis unit extracts a plurality of health care food distributed based on the health care food product information, and an average value of ingredients, an average value of ingredient content, a packaging unit and a capacity for the extracted plurality of health care food analysis information including at least one of an average value of , a market trend, a price per unit, a consumer rating, and a market competitiveness analysis result may be derived.

The similar product analysis unit may generate recommended product information on raw materials and content of raw materials based on the derived analysis information.

Upon receiving the product information modified based on the recommended product information from the planner, the marketing information analysis unit generates marketing strategy information by analyzing marketing information of health care food similar to the input product information according to a plurality of marketing methods. can

The marketing method may include at least one marketing method from among online marketing channels, content for each channel, product response, major marketing companies, and major distribution companies.

It is possible to recommend strategy information for executing marketing through at least one online channel among SNS channels, open markets, social commerce, and portal sites.

As described above, according to the present invention, from the stage of planning health care food to distribution strategy by acquiring online data about a similar product or a competitive product, and analyzing major channels/publicity methods/targets/receptivity, etc. based on the acquired data It is possible to establish the most effective marketing and distribution strategy within the budget of the planner.

1 is a configuration diagram for explaining an online marketing analysis system according to an embodiment of the present invention.
FIG. 2 is a configuration diagram for explaining the marketing analysis server shown in FIG. 1 .
3 is a flowchart illustrating a marketing analysis method using an online marketing analysis system according to an embodiment of the present invention.

Hereinafter, preferred embodiments according to the present invention will be described in detail with reference to the accompanying drawings. In this process, the thickness of the lines or the size of the components shown in the drawings may be exaggerated for clarity and convenience of explanation.

In addition, the terms to be described later are terms defined in consideration of functions in the present invention, which may vary according to intentions or customs of users and operators. Therefore, definitions of these terms should be made based on the content throughout this specification.

Hereinafter, an online marketing analysis system according to an embodiment of the present invention will be described in more detail with reference to FIG. 1 .

1 is a configuration diagram for explaining an online marketing analysis system according to an embodiment of the present invention.

As shown in FIG. 1 , the online marketing analysis system according to an embodiment of the present invention includes a marketing analysis server 100 and a planner terminal 200 .

First, the marketing analysis server 100 generates big data by collecting information on health care food circulating in the market. Then, when receiving an analysis inquiry about health care food from the planner, the marketing analysis server 100 extracts similar health care food information from the generated big data, and uses the extracted health care food information to plan health Perform analysis on care food.

Next, the marketing analysis server 100 generates recommended product information on raw materials and raw material content based on the derived analysis information, and the generated recommended product information is transmitted to the planner terminal 200 .

Upon receiving the marketing plan information for the health care food from the planner, the marketing analysis server 100 generates marketing distribution analysis information corresponding to the received marketing plan information. The marketing analysis server 100 recommends a method with the greatest marketing effect.

The planner terminal 200 is a terminal used by a planner, and the planner plans health care food. In order to produce planned health care food, collaboration with multiple outsourcing companies is required. Accordingly, the planner accesses the marketing analysis server 100 through the terminal 200 and then enters information required by the marketing analysis server 100 to register as a member.

Next, the planner transmits the health care food information to be planned to the marketing analysis server 100 to receive the analysis result with the health care food distributed in the market.

Then, the planner may use the recommended product information received from the marketing analysis server 100 to supplement the raw materials, content, formulation, capacity, etc. of the product. Then, the planner inputs marketing plan information through the terminal 200 to receive information according to marketing and distribution analysis.

On the other hand, the planner terminal 200 in the embodiment of the present invention may be a variety of known means that can be connected to the network through the communication network. For example, a smart phone, a smart pad, various mobile devices, a laptop computer, etc. may correspond to this.

Hereinafter, the marketing analysis server 100 according to an embodiment of the present invention will be described in more detail with reference to FIG. 2 .

FIG. 2 is a configuration diagram for explaining the marketing analysis server shown in FIG. 1 .

As shown in FIG. 2 , the marketing analysis server 100 includes an information collection unit 110 , an input unit 120 , a similar product analysis unit 130 , and a marketing information analysis unit 140 .

First, the information collection unit 110 collects health care food information and marketing information distributed in the market.

In other words, the information collection unit 110 collects health care food information being posted on an online channel. The health care food information collected here includes product information and marketing information. First, the information about the product includes at least one of a manufacturer name, a brand name, a product image, a main ingredient, a function, a product form, a capacity, and a selling price. In addition, the marketing information includes at least one of posted online channels, content, product response, major marketing companies, and major distribution companies.

The input unit 120 receives health care food product information from the planner terminal 200 . The planner inputs health care food product information to be planned through the terminal 200 . The health care food product information includes at least one information among raw material information, raw material content information, formulation, dose, and package design.

The similar product analysis unit 130 extracts similar health care food product information by comparing the health care food product information to be planned with the previously collected health care food product information using the AI algorithm. And the similar product analysis unit 130 derives an analysis result for the extracted similar health care food.

The marketing information analysis unit 140 generates marketing strategy information corresponding to the health care food product information and marketing plan information received from the planner terminal 200 . In other words, the planner inputs marketing plan information including supplemented health care food product information, marketing budget information, and target market information into the terminal 200 . Then, the marketing information analysis unit 140 generates marketing strategy information matching the marketing plan information input from the planner by using the previously collected marketing information. In addition, the marketing information analysis unit 140 provides, as recommendation information, a method determined to have the greatest marketing effect among the generated marketing strategy information.

Hereinafter, a marketing analysis method using an online marketing analysis system according to an embodiment of the present invention will be described in more detail with reference to FIG. 3 .

3 is a flowchart illustrating a marketing analysis method using an online marketing analysis system according to an embodiment of the present invention.

As shown in FIG. 3 , the information collection unit 110 according to an embodiment of the present invention collects health care food information distributed in the market (S310).

The information collection unit 110 collects health care food information that is posted through at least one online channel among SNS channels, open markets, social commerce, and portal sites. In detail, the information collection unit 110 collects product information and marketing information for health care food. The product information includes at least one of a manufacturer name, a brand name, a main part, a function, a product type, a capacity, a selling price, and a consumer rating. In addition, the marketing information includes at least one of an online channel in which healthcare food is posted, content for each channel, product response, major marketing companies, and major distributors.

In a state in which big data is formed using the collected health care food information, health care food product information is received from the planner terminal 200 (S320).

The planner accesses the marketing analysis server 100 through the terminal 200 and proceeds with membership registration. Next, the planner inputs health care food product information to be planned into the terminal 200 . In this case, the input health care food product information includes at least one of a main ingredient, a content, a product form, a dose/packaging unit, and a price per unit. For example, assuming that the health care food that the promoter wants to plan is lactic acid bacteria, the promoter inputs "Lactobacillus" as the main ingredient as the main ingredient and "Zinc" as the sub ingredient. In addition, the product form is "powder" and the dosage is "2,000 mg per pack".

Then, the similar product analysis unit 130 extracts the similar product by using the received health care food information (S330).

In other words, the similar product analysis unit 130 extracts information on “lactic acid bacteria” from the previously collected health care food information. Then, the similar product analysis unit 130 extracts health care food information similar to the information on the main ingredient, product shape and capacity input by the planner from among the plurality of extracted "lactic acid bacteria".

When step S330 is completed, the similar product analysis unit 130 derives analysis information from the extracted similar health care food (S340).

Here, the analysis information includes at least one of an average value of ingredients in a similar product group, an average value of ingredient content, an average value of packaging units and capacities, market trends, price per unit, consumer ratings, and market competitiveness analysis results.

The similar product analysis unit 130 extracts a product to which a consumer rating is given a certain score or more from among a plurality of similar health care foods by using the derived analysis information, or extracts a product having a sales destination in a certain number or more. Next, the similar product analysis unit 130 transmits the extracted health care food information and recommendation information to the planner terminal 200 . Here, the recommended information is information on raw materials and raw material content generated based on the derived analysis information.

For example, it is assumed that the main ingredient of the health care food received from the promoter is red ginseng, the auxiliary ingredients are vitamins A, B, and C, and the product has a capacity of 75 ml. The similar product analysis unit 130 extracts similar health care food information by using information on the main raw material, auxiliary raw material, and capacity. And, as a result of analyzing the extracted similar health care food information, when the main raw material of the health care food with the highest consumer rating is red ginseng, the auxiliary raw material is A, and the product capacity is 70 ml, the similar product analysis unit 130 determines that the main raw material is red ginseng , and the auxiliary ingredient is vitamin A, and the product has a capacity of 70ml.

Next, the marketing information analysis unit 140 receives health care food product information and marketing plan information from the planner (S350).

The planner may revise and supplement the corresponding health care food product information by using the analysis information and the recommendation information received from the similar product analysis unit 130 . Then, the planner inputs the modified health care food product information and marketing plan information through the terminal 200 .

Here, the marketing plan information includes marketing budget information and target market information.

Next, the marketing information analysis unit 140 generates marketing strategy information corresponding to the received healthcare food information and marketing plan information (S360).

In other words, the marketing information analysis unit 140 extracts marketing information of similar health care food corresponding to the input health care food information.

Then, the marketing information analysis unit 140 analyzes the extracted marketing information according to a plurality of marketing methods. Here, the marketing method includes at least one of an online marketing channel, content for each channel, product response, major marketing companies, and major distribution companies.

The online marketing channel includes at least one of an SNS channel, an open market, social commerce, and a portal site. Channel-specific content represents marketing means and includes card news, influencers, and the like. Product response is obtained by using product reviews for products posted on online marketing channels. A marketing company represents a company that acts as a marketing agent, and a distributor represents a company that does marketing through offline.

Next, the marketing information analysis unit 140 generates a method having the greatest marketing effect among a plurality of marketing methods as marketing recommendation information, and the generated marketing recommendation information is transmitted to the planner terminal 200 .

As such, the online marketing analysis system according to the present invention acquires online data about similar products or competitive products, and analyzes major channels/publicity methods/targets/receptivity, etc. based on the acquired data to plan health care food. Since you can establish a distribution strategy from the beginning, you can build the most efficient marketing and distribution strategy within the budget of the planner.

Although the present invention has been described with reference to the embodiments shown in the drawings, which are merely exemplary, those of ordinary skill in the art will understand that various modifications and equivalent other embodiments are possible therefrom. will be. Therefore, the true technical protection scope of the present invention should be determined by the technical spirit of the following claims.

100: marketing analytics server
110: information collection unit
120: input unit
130: similar product analysis unit
140: marketing information analysis unit
200: planner terminal

Claims (6)

In the healthcare food online marketing analysis system based on AI,
Information collection unit that collects health care food product information and marketing information distributed in the market;
An input unit for receiving health care food product information to be planned from the planner terminal;
By using AI algorithm, the health care food product information to be planned and the previously collected health care food product information are compared to extract similar health care food, and the analysis result and recommended product information for the extracted similar health care food A similar product analysis unit to derive, and
and a marketing information analysis unit configured to generate marketing strategy information by analyzing marketing information on the similar health care food when receiving marketing plan information based on the recommended product information from the planner terminal. According to claim 1,
The similar product analysis unit,
Extracting a plurality of health care food being distributed based on the health care food product information,
Deriving analysis information including at least one of the average value of ingredients, the average value of the ingredient content, the average value of the packaging unit and capacity, the market trend, the price per unit, the consumer rating and the market competitiveness analysis result for the plurality of extracted health care foods Online Marketing Analytics System. 3. The method of claim 2,
The similar product analysis unit,
An online marketing analysis system for generating recommended product information on raw materials and raw material content based on the derived analysis information. The method of claim 1,
When product information modified based on recommended product information is input from the planner,
The marketing information analysis unit,
An online marketing analysis system that generates marketing strategy information by analyzing input product information and similar marketing information of healthcare food according to a plurality of marketing methods. 5. The method of claim 4,
The marketing method is
Online marketing analysis system including at least one marketing method among online marketing channels, content by channel, product response, major marketing companies, and major distributors. According to claim 1,
An online marketing analysis system that recommends strategy information for executing marketing through at least one online channel among SNS channels, open markets, social commerce, and portal sites.

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