KR101838162B1 - Method for providing total brand management using brand identitiy for customer value and server for the same - Google Patents

Abstract

The present invention relates to an integrated brand management method based on big data applied with customer value-oriented brand identities wherein the integrated brand management method is executed in an integrated brand management server. The integrated brand management method based on big data applied with customer value-oriented brand identities comprises the following steps of: (a) receiving a brand request statement including brand information, product or service information, and brand-oriented information (hereinafter called as product information) from a brand request terminal; (b) determining one or more target customer groups related to a brand of an own company based on the brand request statement to determine customer values; (c) extracting brand identity properties through a big data analysis of brands of other companies when the determined customer values are a specific reference or higher to generate one or more candidate brand identities; (d) obtaining a preferred brand identity related to preferred brand information with regard to the one with the highest customer values among the one or more target customer groups (hereinafter called as leading customer groups), and updating trends related to the candidate brand identities to generate one or more latest trend brand identities; (e) applying the brand information to the latest trending brand identities to generate one or more candidate brands; and (f) determining the final brand among the one or more candidate brands through the brand request terminal.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention [0001] The present invention relates to a brand-integrated management method for a brand-

[0001] The present invention relates to a brand integrated management technology, and more particularly, to a brand-based management technology using brand identity based on customer value, which can provide a brand to which a brand identity based on a customer value is applied, An integrated management method, and an integrated management server performing the integrated management method.

Brands are collectively referred to as names, symbols and designs used to identify specific products and services. Brands can be used as a powerful tool to engage consumers in their products and services. Management through these brands is becoming a key management tool that determines the survival of the company in the recent management environment in which technological advancement of products has been remarkably reduced due to technological advancement.

Leading companies are working on branding in view of the importance of these brands and are using brand power to effectively engage their products with consumers. However, most companies are still in a disadvantage that they have to compete with domestic and foreign large corporations for product quality or price only because of lack of awareness of brand power and economic reasons.

The conventional branding technology suggests various methods for designing the brand and design through the sensory engineering measurement method for measuring the complex sensibility of the human being based on the Internet and the method for considering the design brand reputation index (DBRQ).

Korean Patent No. 10-1003474 (Dec. 16, 2010) discloses an emotional engineering measurement system and its survey method for diagnosis evaluation of brand, brand concept, design and naming through the Internet, image diagnosis evaluation of objects and people, The present invention relates to a recording medium in which a computer program for a method is stored, and is characterized by quantitatively measuring, analyzing and evaluating a human's complex emotion using a psychological experimental method survey by measuring an online questionnaire response time, Brand design and concept setting, and brand tracking for existing emotional engineering measurements. These images and emotions can be measured for objects and people listed above.

Korean Patent No. 10-2016-0025755 (2016.03.09) relates to a method of design innovation consulting. In connection with the ECS / CMF element technology supporting the design concept, which is considered to be the most important at the stage of design development, It is a design innovation consulting method that can support the circulation of utilization companies after completion of design development using VMD toolkit which is a support technology related to distribution of SMEs.

Korean Patent No. 10-1003474 (December 16, 2010) Korean Patent Laid-Open No. 10-2016-0025755 (Feb.

One embodiment of the present invention is to provide a brand-integrated management method of a big data-based brand with a customer-oriented brand identity that can provide a brand to which a customer identity-oriented brand identity is applied through a systematic analysis of a requested brand, Management server.

One embodiment of the present invention is to provide a brand-integrated management method of a big data-based brand using a brand identity based on a customer value that can generate brand value based on the latest trend by reflecting favorite brand information about a leading customer group, Server.

The big data-based brand integration management method using the brand identity based on the customer value management server performed in the brand integrated management server includes (a) the brand information, the product or service information (hereinafter, product information) and the brand-oriented information (B) determining at least one target customer group for the brand based on the brand request specification to determine a customer value; (c) determining the customer value based on the determined brand value, Extracting a brand identity characteristic through a big data analysis on a brand of a third party to generate at least one candidate brand identity; (d) selecting a target customer group having the highest customer value among the at least one target customer group Preferred customers with preferred branding information (E) acquiring at least one latest trend brand identity by applying the brand information to the at least one current trend brand identity to obtain at least one (F) determining a final brand among the at least one candidate brand through the brand request terminal.

Wherein the step (b) comprises the steps of: (b1) detecting at least one similar trademark based on the brand information; and (b2) determining a similar brand customer group for at least one similar trademark through a big data analysis, And determining a target customer group.

Wherein the step (b2) comprises the steps of: (b2-1) determining a customer group of the same or similar product related to at least one same or similar product based on the product information; and (b2-2) And determining the at least one target customer group.

Wherein the step (b2-2) comprises the steps of: (b2-2-1) determining the at least one target customer group by performing an AND operation on the similar-brand customer group and the same-like product customer group; and (b2-2-2 And calculating the customer value by performing a target customer value evaluation on each of the at least one target customer group.

The step (c) includes the steps of: (c1) detecting at least one image composition that is at least partially common with respect to the brand of the third party, and determining a top N (N is a natural number) can do.

The method of claim 1, wherein the step (c) further comprises the steps of: (c2) extracting fonts and colors for each of the other brands; (c3) analyzing the extracted fonts and colors based on the brand- Determining N fonts and colors; and (c4) generating the at least one candidate brand identity by combining the upper N fonts and colors in the determined upper N image compositions.

The step (d) may include (d1) extracting an image composition, a font, and a color of the preferred brand information through a big data analysis on the leading customer group to obtain the preferred brand identity.

The step (d) may include: (d2) performing the trend update by reflecting the preference brand identity to each of the at least one candidate brand identities.

Wherein the step (e) includes: generating at least one latest trend brand template by combining an image composition, a font, and a color in the at least one latest trend brand identity, and adding at least one latest trend brand template to the at least one latest trend brand template And applying the brand mark to generate the at least one candidate brand.

The disclosed technique may have the following effects. It is to be understood, however, that the scope of the disclosed technology is not to be construed as limited thereby, as it is not meant to imply that a particular embodiment should include all of the following effects or only the following effects.

The Big Data-based brand integrated management method applying the customer identity-based brand identity according to an embodiment of the present invention and the integrated management server performing the same provide systematic analysis of the brand, .

An embodiment of the present invention is a big data-based brand integrated management method applying a customer identity-oriented brand identity and an integrated management server performing the same, which can generate the latest trend-based brand value by reflecting the preferred brand information about the leader group have.

1 is a configuration diagram of a brand integrated management system according to an embodiment of the present invention.
2 is a block diagram showing the brand integrated management server shown in FIG.
Figure 3 is a block diagram illustrating the functional elements of the processor in Figure 2;
FIG. 4 is a flowchart illustrating a process of performing a big data-based brand integration management method in which the processor shown in FIG. 2 applies a customer identity-based brand identity.

The description of the present invention is merely an example for structural or functional explanation, and the scope of the present invention should not be construed as being limited by the embodiments described in the text. That is, the embodiments are to be construed as being variously embodied and having various forms, so that the scope of the present invention should be understood to include equivalents capable of realizing technical ideas. Also, the purpose or effect of the present invention should not be construed as limiting the scope of the present invention, since it does not mean that a specific embodiment should include all or only such effect.

Meanwhile, the meaning of the terms described in the present application should be understood as follows.

The terms "first "," second ", and the like are intended to distinguish one element from another, and the scope of the right should not be limited by these terms. For example, the first component may be referred to as a second component, and similarly, the second component may also be referred to as a first component.

It is to be understood that when an element is referred to as being "connected" to another element, it may be directly connected to the other element, but there may be other elements in between. On the other hand, when an element is referred to as being "directly connected" to another element, it should be understood that there are no other elements in between. On the other hand, other expressions that describe the relationship between components, such as "between" and "between" or "neighboring to" and "directly adjacent to" should be interpreted as well.

It is to be understood that the singular " include " or "have" are to be construed as including the stated feature, number, step, operation, It is to be understood that the combination is intended to specify that it does not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, or combinations thereof.

In each step, the identification code (e.g., a, b, c, etc.) is used for convenience of explanation, the identification code does not describe the order of each step, Unless otherwise stated, it may occur differently from the stated order. That is, each step may occur in the same order as described, may be performed substantially concurrently, or may be performed in reverse order.

The present invention can be embodied as computer-readable code on a computer-readable recording medium, and the computer-readable recording medium includes all kinds of recording devices for storing data that can be read by a computer system . Examples of the computer-readable recording medium include ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical data storage, and the like.

All terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs, unless otherwise defined. Commonly used predefined terms should be interpreted to be consistent with the meanings in the context of the related art and can not be interpreted as having ideal or overly formal meaning unless explicitly defined in the present application.

1 is a configuration diagram of a brand integrated management system according to an embodiment of the present invention.

1, the brand integrated management system 100 may include a brand integrated management server 110 and a brand request terminal 120, which may be interconnected via a network.

The brand integrated management server 110 corresponds to a computing device that is connected to the brand request terminal 120 and can provide a brand integrated management service. In one embodiment, the brand integrated management server 110 may be connected to the brand request terminal 120 via the brand integrated management agent. When the brand integration management agent is installed in the brand request terminal 120, the brand request terminal 120 and the brand integration management server 110 are connected to each other through a network and are linked with each other under the approval of the brand request terminal 120 It is equivalent to an agent program that can be software.

The brand integrated management server 110 may include a brand database 115 storing third party brands. In one embodiment, the brand database 115 may include a database of each of a plurality of third-party brands that may be classified through a classification code and at least one of product information and verbal and non-verbal data regarding the brand identity is defined . The brand integrated management server 110 may provide a brand integrated management service based on the brand database 115 upon receipt of a brand integrated management request from the brand request terminal 120.

The brand request terminal 120 may be a computing device that can be connected to the brand integrated management server 110, for example, a desktop, a notebook, a tablet PC, or a smart phone. The brand request terminal 120 can request the brand integrated management server 110 to receive the brand integrated management service and can receive and display the process and result of the brand integrated management service from the brand integrated management server 110.

2 is a block diagram showing the brand integrated management server shown in FIG.

2, the brand integrated management server 110 may include a processor 210, a memory 220, a user input / output unit 230, and a network input / output unit 240.

The processor 210 can provide a brand integrated management service by performing a procedure of a brand-integrated management method of a big data based brand identity (hereinafter referred to as a brand unified management method) applying the brand identity centered on customer value shown in FIG. 4, It is possible to manage the memory 220 that is read or created in the overall operation of the integrated management server 110 and can schedule the synchronization time between the volatile memory and the nonvolatile memory in the memory 220. The processor 210 may control the overall operation of the brand integrated management server 110 and may control the flow of data between the memory 220, the user input / output unit 230, and the network input / output unit 240. The processor 210 may be implemented as a central processing unit (CPU) of the brand integrated management server 110.

The memory 220 may include an auxiliary storage device implemented as a nonvolatile memory such as a solid state disk (SSD) or a hard disk drive (HDD) and used to store data required for the brand integrated management server 110 , And a RAM (Random Access Memory). As such, the memory 220 may be implemented as volatile and non-volatile memory, and may be implemented as a hyper-link if implemented as a non-volatile memory. The memory 220 may store user information that is associated with the brand request terminal 120 and includes corporate information or member information about the company. This user information can be used in the process of creating a brand centered on the customer value in the process of performing the brand integrated management method by the processor 210.

The user input / output unit 230 includes an environment for receiving user input and an environment for outputting specific information (for example, project evaluation data) to the user, and may include a mouse, a trackball, a touchpad, , An input device including an adapter such as a scanner, a touch screen, a keyboard or a pointing device, and an output device including an adapter such as a monitor or touch screen. In one embodiment, the user input and output unit 230 may correspond to a computing device connected via a remote connection, and in such a case, the brand integrated management server 110 may be implemented as a server.

The network input / output unit 240 includes an environment for connecting with the brand request terminal 120 and the brand identity project execution terminal 130 through a network and includes an adapter for LAN (Local Area Network) communication, for example. can do

Figure 3 is a block diagram illustrating the functional elements of the processor in Figure 2;

3, the processor 210 includes a branding request statement receiving unit 310, a customer value determining unit 320, a candidate brand identity generating unit 330, a latest trend brand identity generating unit 340, A final brand determination unit 360, a management service providing unit 370, and a control unit 380.

The brand request specification receiving unit 310 may receive a brand request specification including brand information, goods or service information (hereinafter referred to as product information) and brand-oriented information from the brand request terminal 120. Here, the brand information includes a brand mark, and in one embodiment, basic information about the referral company currently in use and basic information about the referral company including the name of the company, the location of the company, can do. The product information includes a product type, and in one embodiment, may further include at least one of a product name, a product characteristic, a major customer group, and a classification code according to Korean Standard Industrial Classification. The brand-oriented information may include at least one of a brand image (e.g., a bright and lively image) that the company is aiming for and a content of the request.

The branding request specification receiving unit 310 can store the received branding request specification in the memory 220 and update the branding database 115 based on the received branding request specification.

The customer value determination unit 320 may determine at least one target customer group related to the brand based on the brand request specification to determine the customer value. More specifically, the customer value determination unit 320 can determine a target customer group by analyzing a target customer group related to at least one third-party brand stored in the brand database 115 based on the brand request specification.

The customer value determination unit 320 can detect at least one similar trademark based on the brand information. More specifically, the customer value determining unit 320 can detect a similar trademark related to a third-party brand that is stored in the brand database 115 based on the brand information in the brand request specification and at least a part of the corresponding brand information is common For example, at least a part of the whole marks may be composed of the same letter, or may be analyzed as being the same syllable or similar syllable, so that a trademark of a third-party brand judged to have a similar mark can be detected as a similar trademark.

The customer value determination unit 320 may determine at least one target customer group by determining a similar brand customer group related to at least one similar brand through a big data analysis. More specifically, the customer value determination unit 320 analyzes the big data for the similar trademark customer group related to the similar trademark stored on the brand database 115, and analyzes the web data and the social data collected via the social network Lt; RTI ID = 0.0 > unstructured < / RTI > The customer value determination unit 320 includes a text mining system for extracting useful information using natural language processing technology in an unstructured text, a text mining system for applying user's opinion by applying natural language processing based emotional analysis technology to a text sentence of social media Based on at least one of Opinion Mining, which analyzes the network connection structure, and Social Network Analysis, which analyzes the network connection structure and the connection strength in the social network service.

The customer value determination unit 320 may extract at least one similar brand customer group through analysis of big data about similar brands. Herein, each of at least one similar trademark customer group can be defined through the customer characteristics of the customer group, and the customer characteristics include gender, age range, consumption propensity (for example, Familiarity may include at least one of an on-offline behavioral trait (e.g., offline passive, online activity), trend sensitivity, price sensitivity and income level.

The customer value determination unit 320 can determine the same similar product customer group for at least one same or similar product based on the product information. More specifically, the customer value determination unit 320 determines whether the price of the product stored in the brand database 115 is the same as the product code of the corresponding product type or within a specific reference code range, And can extract at least one customer group of the same similar product through the analysis of the big data regarding the detected brand of the third party. Herein, each of at least one same-like product group also includes at least one of the group of the customer, wherein the customer group has at least one of gender, age range, consumption propensity, product change cycle, IT-familiarity, on-offline behavior propensity, trend sensitivity, price sensitivity and income level ≪ / RTI > can be defined through < RTI ID = 0.0 > customer < / RTI >

The customer value determination unit 320 may determine at least one target customer group by combining the similar-brand customer group and the same-like product group. In one embodiment, the customer value determiner 320 may determine at least one target customer group by performing an AND operation on the similar-branded customer group and the same-like product customer group, for example, performing a logical AND operation The same similar product group as that of the similar brand customer group, and the same similar product group as the same customer family group having the same data of the customer characteristic element among all the customer group elements can be determined as the target customer group, It is possible to determine each of the similar-brand customer group and the same-like product customer group having the same data of the customer characteristic element as the target customer group. In another embodiment, the customer value determination unit 320 may determine at least one target customer group by performing a logical sum operation on the similar brand customer group and the same-like product customer group.

The customer value determination unit 320 may calculate the customer value by performing a target customer value evaluation on each of at least one target customer group. In one embodiment, the customer value determiner 320 may store and manage a customer property-value value matching table that matches a specific value value for each customer characteristic element defined in the customer characteristic, The customer value can be calculated by performing a target customer value evaluation in which a value of each of at least one customer characteristic element in a customer characteristic of each of at least one target customer group is calculated based on the matching table. In one embodiment, the customer value determination unit 320 may perform a target customer group value evaluation through a summation operation, an averaging operation, or a weighted average operation according to a weight previously given to a customer characteristic-value value matching table.

The candidate brand identity generator 330 may generate at least one candidate brand identity by extracting the brand identity characteristic through analysis of the big data about the brand of the other company when the determined customer value is not less than a specific standard. In one embodiment, if the determined customer value is greater than or equal to a specific reference value value set by the designer or the user, the candidate brand identity generator 330 determines that the setting of the target customer group is appropriate and performs a big data analysis It is possible to proceed with the extraction of the brand identity characteristic, and if it is less than the specific reference value value, the target customer group can be reset through the repetition of the previous steps.

Here, the brand identity characteristic is for constituting a brand identity for effectively expressing the unique corporate ideology, purpose and activity of the corresponding brand. The brand identity, the logo, and the image symbolized by the color, You can represent an identity. In one embodiment, the brand identity characteristic may be defined through a semantic characteristic comprising at least one of a visual characteristic, a keyword, and a slogan, including at least one of an image composition, a color, a font and a signature. In one embodiment, the image composition may be defined through a primitive graphic motif or pattern and a utility graphic motif or pattern, and the color may be defined through primary color, auxiliary color, highlight color, and utilization color, Can be defined through a designated typeface, an Arabic numeral typeface and a used font, and a signature can be defined through a combination method and a usage rule. In one embodiment, the visual characteristics of the brand identity characteristic may further include a symbol, a logo type, and a private pattern.

The candidate brand identity generator 330 may generate the visual characteristics of the brand identity characteristics by performing the first big data analysis for analyzing the visual characteristics of the brands of other companies. More specifically, the candidate brand identity generator 330 extracts the image composition, typographic characteristics, and layout characteristics of the brand of the third party detected on the brand database 115 and the social network as the visual characteristics of the brand, . In one embodiment, the visual characteristics of the brand can be extracted from an image composition including font, color, and layout, and based on the typographic characteristics including the type of characters, the type of font and the number of characters, the HSB color model Color characteristics including color, saturation, and brightness, and layout characteristics including types of shapes, symmetries, and ratios.

The candidate brand identity generator 330 may generate a semantic characteristic of the brand identity characteristic by performing a second big data analysis for analyzing the semantic characteristic of the brand of the other company. In one embodiment, the candidate brand identity generation unit 330 generates a candidate brand identity by using the textual mining, natural language processing, and information extraction analysis on the social networking service, At least one of the keywords may be extracted as a semantic characteristic of the brand and included in the brand identity characteristic.

In one embodiment, the candidate brand identity generator 330 may collect information about brands of other companies from the current time point through the social network to the past Y days (Y is a natural number), and Y may be calculated by the following equation 1 ≪ / RTI > For example, if the trend sensitivity index s of the product type is 4 and the number of brands of the third party related to similar or similar products is 35 on the brand database 115 with respect to the requested brand, the candidate brand identity generating unit 330 Assuming the case, Y = 66 can be calculated, and third-party brands from the present time through 66 days can be collected through the social network. Here, the trend sensitivity index (s) can be set to a natural number of 1 or more and less than 5 for each product type by the designer. Accordingly, the candidate brand creation unit 350 collects information about the third-party brands until more recent past days as the product is more sensitive to the trend, and the older the brand name is, The number of days to collect the data can be calculated in consideration of the degree of sensitivity of the product to the trend and the number of competitors in the process of executing the big data.

[Equation 1]

은 내부의 값에 대해 소수점 이하를 반올림하여 절사하는 연산을 나타냄)(Where b _DB represents the number of brands in the same industry detected from the brand database 115, s represents the trend sensitivity index for the product type,

Represents an operation for truncating and truncating decimals for an internal value)

The candidate brand identity generator 330 may generate at least one candidate brand identity by combining the visual characteristic and the semantic characteristic in the extracted brand identity characteristic. In one embodiment, the candidate brand identity generator 330 generates the candidate brand identity If the benchmarking target company is included in the brand request specification, the brand identity characteristic can be extracted through the big data analysis of the third party brand including the benchmarking target company. In the process of generating at least one candidate brand identity, At least one of the visual characteristic and the semantic characteristic associated with the business can be weighted and combined.

The candidate brand identity generator 330 may detect at least one image composition that is at least partially common to brands of other companies to determine the top N common image structures. More specifically, the candidate brand identity generator 330 may detect a plurality of image compositions of a brand of a third party on the brand database 115 and the social network, and determine whether there are certain forms, forms, or types of the image compositions The commonality of each pattern can be determined based on whether or not there is an image format at least partially common among the patterns of the analyzed image compositions, and it is possible to determine commonality among the plurality of image compositions It is possible to detect the top N image composition having the in-pattern. Here, N is a natural number and can be set by a designer or a user.

The candidate brand identity creator 330 extracts the font and color of each of the other brands and the candidate brand identity generator 330 analyzes the extracted font and color based on the brand orientation information to obtain the highest matching degree ≪ / RTI > can be determined. In one embodiment, the candidate brand identity generator 330 may extract the font and color as the visual characteristics of the brand identity characteristic through the first big data analysis, and the brand-oriented information in the brand's request specification and the extracted font And the degree of matching between colors can be analyzed. The candidate brand identity generator 330 calculates the matching degree based on the matching degree table in which matching values for each of the typeface and the color type are defined for each element of the brand-oriented information, and determines the typeface and color in order of the highest matching degree For example, if the brand-oriented information is [bright, warm, spring], then the fonts and colors in the extracted fonts and colors [Gothic, Blue, Cursive, Red, Matching for each can be decided by the top one font and color [wood body, orange color] which has the highest sum. In another embodiment, the candidate brand identity generator 330 may determine a font and a color suitable for expressing the brand tendency based on the keyword in the brand-oriented information.

The candidate brand identity generator 330 may generate the at least one candidate brand identity by combining upper N fonts and colors in the determined upper N image compositions. For example, the candidate brand identity generator 330 generates the first candidate brand identity by applying the visual characteristics of the Korean Gothic font and the blue color to the first image composition including the 2: 1 ratio rectangular layout, : ≪ / RTI > ratio of elliptical layout, the second candidate brand identity can be generated by applying the visual characteristics of the English handwriting and the red color to the second image composition.

The latest trend brand identity creator 340 may acquire a preferred brand identity related to the preference brand information regarding the target customer group having the highest customer value among the at least one target customer group (hereinafter referred to as the leading customer group). Here, the preferred brand identity may be created based on the linguistic characteristics of the brand identity and defined through the trend characteristics including the user preference image and the keyword, and in one embodiment, the first trend characteristic And second trend characteristics across the domestic and international markets.

The latest trend brand identity creator 340 can determine the leading customer group based on the calculated customer value and extract the preferred brand identity characteristic of the preferred brand information through analysis of big data about the leading customer group, It is possible to acquire the preferred brand identity by combining the brand identity characteristics. In one embodiment, the latest trend brand identity generator 340 may extract the image composition, font and color of the preferred brand information through the analysis of the big data regarding the leading customer group to obtain the preferred brand identity.

In one embodiment, the latest trend brand identity generator 340 performs text mining on unstructured data generated on a social networking service such as Twitter or Facebook in association with a leading customer group through a big data analysis, The context can be analyzed and analyzed, and natural language processing and information extraction technology can be applied to analyze the preferred brand information. More specifically, the latest trend brand identity generator 340 can analyze trend information, change frequency, novelty, and power of the same or similar products of the leading customer group, and based on the analysis result, Can be extracted.

The latest trend brand identity creator 340 may perform trend update on at least one candidate brand identity to generate at least one latest trend brand identity. In one embodiment, the latest trend brand identity generator 340 may update the trend by reflecting the preference brand identity into each of at least one candidate brand identity. For example, the latest trend brand identity creator 340 may combine the image composition, font, and color in the preferred brand identity with the candidate brand identity to generate the latest trend brand identity. In another embodiment, the latest trend brand identity creator 340 may reflect the preference brand identity in the candidate brand identity to adjust at least one of the image composition, font, and hue in the candidate brand identity within a limited specific range, For example, in a candidate brand identity, image composition, fonts and colors are preset within a certain limit set by the designer, preferably by increasing or decreasing the value in the direction of decreasing the difference between the image composition, typeface and color in the brand identity .

The candidate brand generating unit 350 may generate at least one candidate brand by applying the brand information to at least one latest trend brand identity. The candidate brand creation unit 350 can generate a candidate brand by applying an image composition, a font, and a color in the latest trend brand identity to the corresponding brand information. For example, the candidate brand creation unit 350 can generate an image composition, font, Candidate brands can be created by applying the visual characteristics of black, gothic, and hangeul in color and the image composition of rectangle to the referent brand name.

In one embodiment, the candidate brand generator 350 generates at least one latest trend brand template by combining the image composition, font and color in at least one of the latest trend brand identities, and generates at least one latest trend brand template At least one candidate brand can be created by applying a brand mark in the brand information. Here, the latest trend brand templates can correspond to template combinations that are formatted through image composition, fonts and colors in the latest trend brand identity.

In one embodiment, the candidate brand creation unit 350 may generate a brand story based on the semantic characteristic of the corresponding brand based on the corresponding brand information, and may include the brand story in each of the candidate brands. For example, in the process of creating a candidate brand, the candidate brand generating unit 350 may classify the brand mark into texts, combine semantic characteristics in the brand identity characteristic in each of them, or combine the plurality of keywords extracted from the brand- And the semantic characteristics in the brand identity characteristic can be combined to generate a brand story within a certain number of characters. The candidate brand creation unit 350 may exclude the semantic characteristic associated with the negative semantic characteristic in the brand identity characteristic. The candidate brand generating unit 350 may further include a brand story focused on a semantic characteristic in a candidate brand centered on the visual characteristic so that a stronger impact can be delivered in the process of representing the corresponding brand as an image.

The final brand determination unit 360 may determine the final brand among the at least one candidate brand through the brand request terminal 120. [ More specifically, the final brand determination unit 360 provides the generated at least one candidate brand to the brand request terminal 120, and when a specific candidate brand among a plurality of candidate brands is selected by the user, It can be decided as the final brand.

In one embodiment, when the final brand is determined, the final brand determination unit 360 recommends a guideline including guide information for maintaining brand uniformity with respect to the final brand, and recommends changing or adding the detailed components of the final brand To the brand requesting terminal 120. [0213] When the logo and emblem creation request is received from the brand request terminal 120, the final brand determination unit 360 can immediately generate and provide the logo and emblem based on the final brand of the company, Upon receipt of an amendment request, the logo and emblem may be regenerated based on the guidelines and recommendation components.

The management service provider 370 can provide a brand sustainability service for maintaining brand consistency with respect to a specific brand in which a final brand is determined and a brand identity is formed. In one embodiment, the management service provider 370 receives a management request from the brand request terminal 120 at a specific period (for example, one month) set through the management contract, It is possible to re-acquire the preferred brand identity related to the preferred brand information of the leading customer of the corresponding brand and to perform the trend update reflecting the preferred brand identity again acquired in the predetermined final brand, It is possible to update at least a part of the visual characteristic and the semantic characteristic of the brand and to provide an update recommendation message and an update report recommending the use of the updated final brand to the brand request terminal 120. In one embodiment, the management service provider 370 updates the final brand only when the final brand updated based on the current point of time is different from the existing final brand in terms of image composition, font, and color, The use of brands may be encouraged.

Accordingly, the final brand decision unit 360 can provide a new brand to which a brand identity based on customer value suitable for the company is applied for a new brand requiring a new management, As a result, it is possible to provide a brand integrated management service that considers both the pre- and post-service, by managing the brand identity to be continuously supplemented while reflecting the trend while maintaining the unity of the brand.

The control unit 380 can control the entire operation of the processor 210 and includes a brand request specification receiving unit 310, a customer value determining unit 320, a candidate brand identity generating unit 330, a latest trend brand identity generating unit 340, the candidate brand creation unit 350, the final brand determination unit 360, and the management service provider 370.

FIG. 4 is a flowchart illustrating a process of performing a big data-based brand integration management method in which the processor shown in FIG. 2 applies a customer identity-based brand identity.

4, the brand request specification receiving unit 310 can receive a brand request specification including brand information, goods or service information (hereinafter, product information) and brand-oriented information from the brand request terminal 120 (step S410 ). The customer value determination unit 320 may determine the customer value by determining at least one target customer group related to the brand based on the brand request specification (step S420). If the determined customer value is greater than or equal to a specific criterion, the candidate brand identity generator 330 may extract at least one candidate brand identity by analyzing the brand identity of the third-party brand (step S430). The latest trend brand identity creator 340 can acquire the preferred brand identity related to the favorite brand information about the target customer group having the highest customer value among the at least one target customer group At least one latest trend brand identity may be generated by performing a trend update on the brand identity (step S440). The candidate brand creation unit 350 may generate at least one candidate brand by applying the brand information to at least one latest trend brand identity (step S450). The final brand determination unit 360 may determine the final brand among at least one candidate brand through the brand request terminal 120 (step S460). In one embodiment, after step S460, the management service provider 370 may provide a brand continuity management service for maintaining a brand uniformity with respect to a specific brand in which a final brand is determined and a brand identity is formed.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it will be understood by those of ordinary skill in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the following claims And changes may be made without departing from the spirit and scope of the invention.

100: Brand Identity Integrated Management Service System
110: Brand Integrated Management Server
120: brand agent terminal
115: Brand database
210: Processor
310: Brand Referral Receiver
320: Customer Value Determination Department
330: candidate brand identity generation unit
340: Trend Brand Identity Generation Unit
350: candidate brand creation unit 360: final brand decision unit
370: Providing management service 380:

Claims (9)

A method for integrating and managing a brand-based brand-based brand identity in a brand-integrated management server, the method comprising:
(a) receiving a branding request statement including brand information, goods or service information (hereinafter referred to as product information) and brand-oriented information from a branding request terminal;
(b) determining at least one target customer group for the brand based on the brand name specification and determining a customer value;
(c) a meaning including at least one of a visual characteristic including at least one of an image composition, a color, a font and a signature, and a keyword and a slogan through a big data analysis of a brand of a third party when the determined customer value is not less than a specific criterion Extracting a brand identity characteristic including at least one candidate brand identity to generate at least one candidate brand identity and attempting to reset a target customer group if the determined customer value is less than the specified criterion;
(d) acquiring a preferred brand identity related to the preferred brand information regarding the target customer group having the highest customer value among the at least one target customer group (hereinafter, referred to as the leading customer group) and transmitting the preferred brand identity to the at least one candidate brand identity To at least one candidate brand identity to adjust at least one of an image composition, a font, and a color in the candidate brand identity within a limited specific range to generate at least one latest trend brand identity step;
(e) generating at least one candidate brand by applying the brand information to the at least one latest trend brand identity; And
(f) determining a final brand among the at least one candidate brand through the brand requesting terminal, wherein the brand identity is based on a customer value.
2. The method of claim 1, wherein step (b)
(b1) detecting at least one similar trademark based on the brand information; And
(b2) determining the at least one target customer group by determining a similar brand customer group related to at least one similar brand through analysis of the big data, and determining the at least one target customer group based on the big data base Brand Integrated Management Method.
3. The method of claim 2, wherein step (b2)
(b2-1) determining a customer group of the same similar product related to at least one same or similar product based on the product information; And
(b2-2) determining the at least one target customer group by combining the similar brand customer group and the same-like product customer group, and determining the at least one target customer group based on the brand-based brand identity Way.
4. The method of claim 3, wherein the step (b2-2)
(b2-2-1) determining the at least one target customer group by performing an AND operation on the similar-brand customer group and the same-like product customer group; And
(b2-2-2) calculating the customer value by performing a target customer value evaluation on each of the at least one target customer group, and calculating the customer value based on the customer value brand identity Integrated management method.
2. The method of claim 1, wherein step (c)
(c1) detecting at least one image composition that is at least partially common to the third-party brand to determine a top N (N is a natural number) image composition that is common to the largest number of customers. A Big Data-based Brand Integrated Management Method Applying Value-based Brand Identity.
6. The method of claim 5, wherein step (c)
(c2) extracting a font and color of each of the brands of the other companies;
(c3) analyzing the extracted font and color based on the brand-oriented information to determine the upper N fonts and hues having the highest matching degree; And
(c4) generating the at least one candidate brand identity by combining the upper N fonts and colors in the determined upper N image compositions. How to manage brand integration.
2. The method of claim 1, wherein step (d)
(d1) extracting an image composition, a font, and a color of the preferred brand information through big data analysis on the leading customer group to obtain the preferred brand identity. Big data based brand integration management method applied.
delete 2. The method of claim 1, wherein step (e)
At least one latest trend brand template is generated by combining an image composition, a font and a color in the at least one latest trend brand identity, and a brand mark in the brand information is applied to the at least one latest trend brand template, And generating at least one candidate brand. The method of claim 1, wherein the brand identity is a customer-value-based brand identity.

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