System for ai-integrated brand strategy insights

Abstract

An AI-driven brand strategy insight system is presented. This system includes: an interview summary insight unit to compare an AI-generated interview summary with a human-generated interview summary to obtain similarities and differences; a market trend insight unit to compare an AI-generated market trend with a human-generated market trend to obtain similarities and differences; and a style focus unit to extract AI keywords from the interview summary and market trend similarities and differences to obtain AI brand keywords, and then generate a corresponding AI brand style contextual image from these AI brand keywords using AI text-to-image technology. This approach not only saves time in brand insight but also improves the quality of brand insight and design.

Description

Technical Field

[0001] This work is about an insight methodology and system, specifically an AI-driven approach and system for brand strategy insights. Prior Technology

[0002] Design is a specialized field that combines aesthetics and commercial applications, but traditionally, the design industry faces a vicious cycle of trading time and manpower for quality. Designers often need to invest a lot of time in preliminary research, brainstorming, and repeated revisions to meet client needs; however, this process is often accompanied by low returns, high pressure, and overwork. The pressure of time and resources forces designers to make trade-offs between quality and efficiency, resulting in works that may lack depth or creativity. This low-quality outcome further reduces market trust and expectations of design, creating a vicious cycle.

[0003] In order to meet market demands and to break the vicious cycle in the design industry where time and manpower are sacrificed for quality, the design industry is considering how to shift from brand design to brand strategy consulting, providing more comprehensive brand insights and corresponding solutions.

[0004] Prior art, such as Taiwan patent TWI856045B "Marketing Support System," addresses the problem that customer segmentation strategies and the associated segmentation analysis are difficult and time-consuming, by providing a tool that allows for easy execution of segmentation-based marketing campaigns. However, this prior art only facilitates segmentation analysis and does not provide comprehensive brand insights and corresponding solutions.

[0005] Furthermore, simply saving time without improving design quality cannot fundamentally solve the vicious cycle problem. Because merely saving time, or simply using AI to replace human labor, could lead to a situation where bad money drives out good. A large number of inferior AI designs will result in a lower-priced design ecosystem. This low-quality outcome, as mentioned above, will reduce market trust and expectations of design, thus creating a vicious cycle. Summary of the Invention

[0006] Therefore, the problems this work aims to solve include how to not only save design time, but also improve design quality.

[0007] To break the vicious cycle in the design industry where time and manpower are sacrificed for quality, this project utilizes AI tools to build a brand strategy insight system and style focus tools, maximizing design output.

[0008] For those transitioning from brand design to brand strategy consulting, this creation utilizes AI tools to provide more comprehensive brand insights and corresponding solutions.

[0009] To address the aforementioned and other issues, this work provides an AI-based method for importing brand strategy insights and an AI-based system for importing brand strategy insights.

[0010] To achieve the above and other objectives, one embodiment of this invention provides an AI-driven brand strategy insight method, comprising: an interview summary insight step, comparing an AI interview summary with a human interview summary to obtain a conclusion on similarities and differences in the interview summaries; a market trend insight step, comparing an AI market trend with a human market trend to obtain a conclusion on similarities and differences in the market trends; and a brand strategy insight step, conducting a brand strategy meeting with the client based on the conclusion on similarities and differences in the interview summaries and the conclusion on similarities and differences in the market trends.

[0011] In one embodiment, the interview summary insight step includes: conducting an interview meeting to obtain an interview recording; performing AI summarization on the interview recording to obtain an AI interview transcript and the AI ​​interview summary; performing human summarization on the interview recording to obtain the human interview summary; and comparing the AI ​​interview summary with the human interview summary to obtain a similarity / difference conclusion, wherein the similarity / difference conclusion includes similarities and differences between the two interview summaries.

[0012] In one embodiment, the market trend insight step includes: conducting a brand strategy questionnaire; and performing AI analysis on the brand strategy questionnaire to obtain an AI questionnaire analysis result. The AI ​​questionnaire analysis results are then subjected to AI analysis to obtain the AI ​​market trend; the AI ​​questionnaire analysis results are then subjected to human analysis to obtain the human market trend; and the AI ​​market trend and the human market trend are compared to obtain the conclusions of similarities and differences in the market trends, which include the similarities and differences between the market trend results.

[0013] In one embodiment, the market trend insight step further includes: performing AI analysis based on the AI ​​market trend, the artificial market trend, and the similarities and differences in the market trends to obtain an AI communication strategy result.

[0014] In one embodiment, the brand strategy insight step further includes: conducting manual analysis based on the AI ​​market trend, the human market trend, the similarities and differences in the market trend, and the results of the AI ​​communication strategy, and then holding a brand strategy meeting with the client.

[0015] In one embodiment, the AI-imported brand strategy insight method further includes a style focusing step, which includes: extracting AI keywords from the similarities and differences conclusions of the interview summary and the similarities and differences conclusions of the market trend to obtain an AI brand keyword; and obtaining an AI brand style context map based on the AI ​​brand keyword through AI text-to-image generation.

[0016] In one embodiment, the style-focusing step further includes: manually extracting keywords from the similarities and differences conclusions of the interview summary and the similarities and differences conclusions of the market trend to obtain a set of artificial brand keywords; Based on the AI ​​brand keywords, a human-designed image of the brand style is generated.

[0017] In one embodiment, the brand strategy insight step further includes: conducting a second brand strategy meeting with the client based on the AI ​​brand style scenario map and the human brand style scenario map.

[0018] To achieve the above and other objectives, one embodiment of this invention provides an AI-integrated brand strategy insight system, comprising: an interview summary insight unit for comparing an AI interview summary with a human interview summary to obtain a conclusion on similarities and differences in the interview summaries; and a brand strategy insight unit for comparing an AI market trend with a human market trend to obtain a conclusion on similarities and differences in the market trends.

[0019] In one embodiment, the AI-imported brand strategy insight system further includes: a style focusing unit, used to extract AI keywords from the similarities and differences conclusions of the interview summary and the similarities and differences conclusions of the market trend, to obtain an AI brand keyword, and then, based on the AI ​​brand keyword, to obtain an AI brand style context map through AI text-to-image generation.

[0020] In one embodiment, the interview summary insight unit performs AI summarization on an interview recording to obtain an AI interview transcript and the AI ​​interview summary. Then, it compares the AI ​​interview summary with a human interview summary to obtain a similarity and difference conclusion. The similarity and difference conclusion includes the similarities and differences between the two interview summaries.

[0021] In one embodiment, the market trend insight unit performs AI analysis on a brand strategy questionnaire to obtain an AI questionnaire analysis result. The AI ​​questionnaire analysis result is then subjected to AI analysis to obtain an AI market trend. The AI ​​market trend is then compared with a human market trend to obtain a conclusion on the similarities and differences between the two market trends. The conclusion on the similarities and differences between the two market trend results includes the similarities and differences between the two market trend results.

[0022] In one embodiment, the market trend insight unit further performs AI analysis based on the AI ​​market trend, the artificial market trend, and the similarities and differences in the market trends to obtain an AI communication strategy result.

[0023] In one embodiment, the style focus unit includes an automated image processing unit that extends the functionality of Adobe Creative Cloud through Adobe I / O Runtime to establish an automated workflow for image processing.

[0024] In one embodiment, the style focus unit includes a data tagging unit that imports the Google Cloud Vision API to automatically tag existing design resources, quickly classifies images, and provides visual suggestions based on the client's brand needs.

[0025] The directions or similar terms used throughout this work, such as front, back, left, right, top, bottom, inside, outside, and side, are primarily for reference to the directions in the diagrams. These directions or similar terms are used only to aid in the explanation and understanding of the embodiments of this work and are not intended to limit it. The articles used for elements and components described throughout this work, such as "one" or "the," are for convenience or to simplify description only and should be interpreted as including one or at least one, and a single concept also includes plural concepts, unless there is a clear difference in meaning. Simple Explanation of the Diagram

[0026] Figure 1 is a schematic diagram of the steps of the AI-imported brand strategy insight method in this creative embodiment. Figure 2 is a step-by-step diagram of the interview summary insight steps in this creative embodiment. Figure 3 is a step-by-step diagram illustrating the market trend insight process in this embodiment of the invention. Figure 4 is a schematic diagram of the AI-imported brand strategy insight system in this creative embodiment. Implementation

[0027] To make the above and other objectives, effects, and features more apparent and understandable, some preferred embodiments are described below, along with detailed descriptions in conjunction with the accompanying drawings. Without departing from the spirit of the invention, this invention has various implementation methods and is not limited to the specific details described in the following embodiments. Furthermore, the drawings are not necessarily drawn to scale and are provided only for illustrative purposes.

[0028] In the past, when brand planning was developing its initial brand strategy, it required extensive interaction with clients, including interviews and workshops, to understand their needs and the current state of the brand. Internal and external questionnaires were also used to gather information. However, compiling and analyzing interview and questionnaire results still required significant manpower and time. Therefore, this project utilizes AI tools to create a strategy support system that helps brand strategy departments systematize their initial research and analysis work more efficiently.

[0029] For example, in a scenario, the brand strategy department needs to conduct a workshop with the client for about two hours during an interview meeting to collect a large amount of Q&A content and use keyword cards to help the client define the brand personality. The process is time-consuming and tedious. In addition to spending extra time to sort out the data and formulate the brand direction, this approach is often limited by time and space. If it is not possible to communicate with the client face-to-face, the strategy workshop process cannot be carried out. In order to make the brand's preliminary research more comprehensive and complete, surveys and interviews will be conducted on brand stakeholders, including founders, senior executives, employees, customers, and manufacturers. This stage has previously taken 1 to 2 months.

[0030] To not only save time in brand insight but also improve the quality of brand insight and design, this invention provides an AI-integrated brand strategy insight method, comprising: an interview summary insight step (S11), comparing an AI-generated interview summary with a human-generated interview summary to obtain a conclusion on similarities and differences in the interview summaries; a market trend insight step (S21), comparing an AI-generated market trend with a human-generated market trend to obtain a conclusion on similarities and differences in market trends; and a brand strategy insight step (S31), conducting a brand strategy meeting with the client based on the interview summary similarities and differences conclusion and the market trend similarities and differences conclusion. Figure 1 is a schematic diagram of the steps of the AI-integrated brand strategy insight method of this invention.

[0031] Figure 2 is a schematic diagram of the interview summary insight step (S11) of this embodiment. Preferably, the interview summary insight step (S11) includes: (S111) conducting an interview meeting to obtain an interview recording; (S112) performing AI summarization on the interview recording to obtain an AI interview transcript and the AI ​​interview summary; (S113) performing human summarization on the interview recording to obtain the human interview summary; and (S114) comparing the AI ​​interview summary with the human interview summary to obtain a similarity / difference conclusion, wherein the similarity / difference conclusion includes the similarities and differences between the two interview summaries.

[0032] Accordingly, the interview summary insight step (S11) can be assisted by AI, or by combining AI and human intervention, to supplement any possible oversights by human intervention or to reinforce key points.

[0033] The following is an example of an interview recording, showing the results after AI summarization and human summarization.

[0034] Table 1 shows the transcript and summary of the AI ​​interview in the example. AI Interview Transcript AI Interview Summary Li: Thank you for taking the time to participate in this interview today. We would like to know about the marketing department's business progress this year. Wang: Our main goal for the first half of this year was to expand our online channels and promote our brand through diverse digital advertising. Overall, the market response was positive, with sales increasing by approximately 15%. Li: What challenges did you encounter during the promotion process? Wang: The biggest challenge is the intense competition, especially in digital advertising. Many competitors have increased their investment, leading to rising advertising costs. We need to more accurately target our audience while optimizing ad content to ensure the effective use of our funds. Li: It sounds like strategic adjustments are crucial. Do you have any specific action plans for the coming months? Wang: We plan to launch new brand collaborations in the fourth quarter and continue to optimize the online user experience. We will also strengthen data analytics to gain a more accurate understanding of market demands and adjust our product promotion strategies accordingly. plum:…… Key points of the meeting: Marketing Department Business Progress: The main objectives for the first half of the year were to expand online channels and promote the brand. Digital advertising performed well, with sales increasing by approximately 15%. Challenges faced: With rising advertising costs and intensifying competition, it is essential to accurately select target audiences and optimize advertising content to effectively utilize funds. Future Action Plan: We plan to launch new brand collaborations in the fourth quarter. We will enhance data analytics to gain insights into market demands and optimize the online user experience. Suggestions for improvement: Internal collaboration needs improvement, particularly the efficiency of information sharing and coordination between the marketing and sales departments. This interview highlighted the strengths and challenges of the marketing department in business development and outlined preliminary strategies for the coming months.

[0035] Table 2 shows the differences between the AI ​​interview summary, the human interview summary, and the interview summary in the embodiment. AI Interview Summary Human Interview Summary Differences in the interview summary Key points of the meeting: Marketing Department Business Progress: The main objectives for the first half of the year were to expand online channels and promote the brand. Digital advertising performed well, with sales increasing by approximately 15%. Challenges faced: With rising advertising costs and intensifying competition, it is essential to accurately select target audiences and optimize advertising content to effectively utilize funds. Future Action Plan: We plan to launch new brand collaborations in the fourth quarter. We will enhance data analytics to gain insights into market demands and optimize the online user experience. Suggestions for improvement: Internal collaboration needs improvement, particularly the efficiency of information sharing and coordination between the marketing and sales departments. This interview highlighted the strengths and challenges of the marketing department in business development and outlined preliminary strategies for the coming months. Business progress: Expanding online channels, digital advertising, and increasing sales by 15%. challenge: Targeted audience and optimized content Future Actions: New brand collaborations, data analysis Suggestions for improvement: Efficiency of internal collaboration and information sharing between the marketing and sales departments Future Action Plan: The fourth season will launch new brand collaboration projects; Understanding market demand; Optimize the online user experience.

[0036] Through the above examples, this work highlights the differences between the interview summary and the original human notes, such as "launching new brand collaboration projects in the fourth quarter; understanding market demand; and optimizing the online user experience," which were originally omitted. This makes up for the possible omissions in human notes and improves the design quality through the collaboration between AI and human.

[0037] In other words, during the interview process, this tool records the interview content and quickly summarizes and concludes, greatly reducing problems and situations such as inaccurate recording and inefficiency. Simultaneously, it assists the planning and strategy department in analyzing questionnaire results, providing relevant market information through big data collection and analysis, and accelerating the preliminary strategy research process.

[0038] In addition to summarizing interview content and collecting market information, AI technology is used to analyze and generate brand descriptions. This not only solves the pain point that previously could only be done through in-person interviews, but also avoids the tedious work of data collection and analysis, thus accurately and effectively assisting in the relevant work of brand strategy formulation.

[0039] The following detailed description will be provided in conjunction with the embodiments.

[0040] Figure 3 is a schematic diagram of the market trend insight step (S21) of this embodiment. Preferably, the market trend insight step (S21) includes: (S211) conducting a brand strategy questionnaire; (S212) performing AI analysis on the brand strategy questionnaire to obtain an AI questionnaire analysis result; (S213) performing AI analysis on the AI ​​questionnaire analysis result to obtain the AI ​​market trend; (S214) performing manual analysis on the AI ​​questionnaire analysis result to obtain the manual market trend; and (S215) comparing the AI ​​market trend with the manual market trend to obtain a conclusion on the similarities and differences in market trends, wherein the conclusion on the similarities and differences in market trend results includes similarities and differences in market trend results.

[0041] Preferably, the market trend insight step (S21) further includes: based on the AI ​​market trend, the artificial intelligence market trend, and the similarities and differences in the market trends, conducting AI analysis to obtain an AI communication strategy result.

[0042] The following is a summary of the results of the market trend insight step (S21) using a segment of a brand strategy questionnaire from one of the embodiments, and summarizes the AI ​​questionnaire analysis results, AI market trends, human market trends, and the final AI-assisted AI communication strategy results.

[0043] Table 3 shows the AI ​​questionnaire analysis results and AI market trends of the example. AI Questionnaire Analysis Results AI Market Trends Questionnaire Analysis Report Subject: 2024 Customer Satisfaction Survey Sample: 500 Time: August 1, 2024 - August 15, 2024 Objective: To understand customer satisfaction with products and services and identify areas for improvement. I. Customer Background Analysis Age distribution: 15-25 years old: 20% 26-35 years old: 40% 36-45 years old: 25% 46 years and older: 15% Gender distribution: Male: 52% Female: 48% Consumption frequency: ... Key points of the meeting: Market Trend Analysis Report According to the 2024 customer satisfaction survey, the following are some key trends for the future market: I. Age Distribution Trends: The survey shows that customers aged 26-35 account for the largest proportion, reaching 40%. This group is in the period of increasing spending power and places greater emphasis on product quality and personalized service. As this generation's purchasing power further increases, brands should strengthen targeted marketing to this age group and launch more customized and innovative products to meet their needs. II. Consumption Frequency Trends ...

[0044] Table 4 shows the results of the artificial intelligence market trends and communication strategies in the implementation examples. Artificial Market Trends AI communication strategy results Youthfulness and Modernization: For the primary customer group aged 26-35, brands should emphasize a youthful and modern image. They can build emotional connections with young consumers through innovative design and digital marketing. Customer orientation and personalization: With the rise in demand for personalization, brands need to further strengthen their customer orientation. Providing tailored products and services allows customers to feel cared for and valued by the brand, thereby enhancing customer brand loyalty. ... Digitalization and Social Media: Engage with your target customer base through social media platforms, creating creative content that showcases product usage scenarios and genuine customer reviews. Encourage user-generated content to increase brand exposure and engagement. Membership system and exclusive benefits: Establish a membership system to offer exclusive discounts and birthday gifts to loyal customers, enhancing their sense of belonging. Simultaneously, collect customer feedback through regular surveys, adjust products and services based on customer needs, and continuously improve customer satisfaction. ...

[0045] Preferably, the brand strategy insight step (S31) further includes: conducting a brand strategy meeting with the client after performing manual analysis based on the AI ​​market trend, the human market trend, the similarities and differences in the market trend, and the results of the AI ​​communication strategy.

[0046] Accordingly, through the introduction of AI technology and collaboration with humans, this project has successfully built a tool that effectively assists brands in focusing on their style. Based on a brand resource library and combined with AI's deep learning capabilities, this tool can extract key information from massive amounts of data and, through intelligent analysis, help brands accurately position their unique style.

[0047] This work currently has the following benefits: 1. Customized Brand Insights: The system can quickly generate customized brand insight reports based on the specific needs of clients, helping brands to gain a deeper understanding of their brand image. 2. Improve work efficiency: AI automates many tedious analysis tasks, significantly reducing the time required for brand strategy development. 3. Enhanced decision support: The data analysis results provided by the system offer a more scientific and objective basis for brand decision-making. 4. Precise Market Positioning: Through in-depth analysis of market trends, the system helps brands find more precise market positioning. Market positioning.

[0048] To continuously optimize this system and provide more comprehensive services, this invention will expand data sources, filter relevant information, and integrate more external data, such as social media and consumer reviews, to provide more comprehensive and reliable analysis. Furthermore, the following embodiments further deepen the application of AI technology, enhancing the system's capabilities in natural language processing, image recognition, and other areas to achieve more intelligent analysis.

[0049] In this embodiment, after conducting market research as described in the aforementioned preferred embodiment, the case will enter a more concrete style-focusing stage. This stage is crucial to the degree to which the subsequent design work is integrated with the brand spirit, encompassing style elements, brand tone, and mood boards. This stage aims to accurately define the brand direction and ensure that the core brand values ​​and market positioning are accurately conveyed.

[0050] In the past, during the design requirements communication stage, consensus with the front-end brand strategy was often reached by searching online image libraries or hand-drawing sketches. This not only took a long time, but the images in the image library may also have copyright issues.

[0051] Therefore, preferably, the AI-introduced brand strategy insight method also includes a style focusing step (S41), which includes: extracting AI keywords from the similarities and differences conclusions of the interview summary and the similarities and differences conclusions of the market trend to obtain an AI brand keyword; and obtaining an AI brand style context map through AI text image generation based on the AI ​​brand keyword.

[0052] In one embodiment, the style focusing step (S41) further includes: manually extracting keywords from the similarities and differences conclusions of the interview summary and the similarities and differences conclusions of the market trends to obtain a set of artificial brand keywords; Based on the AI ​​brand keywords, a human-designed image of the brand style is generated.

[0053] In one embodiment, the brand strategy insight step (S31) further includes: conducting a second brand strategy meeting with the client based on the AI ​​brand style scenario map and the artificial brand style scenario map.

[0054] Compared to manual methods, in the early stages of design, we use divergent thinking techniques such as the nine-square grid method and the water droplet method to extensively explore and test various possibilities. This creation utilizes AI assistance to more efficiently support this stage of the work.

[0055] This creation helps clients expand the possibilities of this stage, preventing them from being limited by past experience and avoiding the use of images with copyright concerns, thus laying a more efficient foundation for the subsequent convergence stage.

[0056] To improve design efficiency, the style focus step in this embodiment utilizes AI technology to convert brand strategy descriptions into relevant style images and mood boards. Combining the results of the preceding interview summary insight step (S11) and market trend insight step (S21), it generates contextual diagrams or style images that align with the brand's tone, thereby helping clients to more clearly visualize their brand vision while saving designers' time and communication costs. The introduction of this system will significantly enhance the diversity and accuracy of design proposals, avoiding the problems caused by past environmental or time constraints.

[0057] For subsequent applications, this creative style focus step (S41) is combined with keyword import: the system combines the text descriptions produced by the interview summary insight step (S11) and the market trend insight step (S21), and uses the AI ​​imported into the brand strategy insight system (described later) to transform the brand strategy into a style scenario diagram that matches the brand tone. This helps brand planners, designers, and clients to communicate more clearly and accurately, avoiding the uncertainty of relying on text descriptions in the past and improving the clarity of the diagram type.

[0058] This embodiment can also utilize automated image processing, such as extending the functionality of Adobe Creative Cloud through Adobe I / O Runtime, to establish automated workflows for image processing, aiming to reduce manual operation time and improve overall work efficiency.

[0059] This embodiment can also tag data, such as importing Google Cloud Vision API to automatically tag existing design resources, quickly classify images, and provide more accurate visual suggestions based on the customer's brand needs.

[0060] The following describes the AI-introduced brand strategy insight system in conjunction with the above-mentioned AI-introduced brand strategy insight method.

[0061] Figure 4 is a schematic diagram of the AI-introduced brand strategy insight system in this embodiment. Another AI-introduced brand strategy insight system in this embodiment includes: an interview summary insight unit (11) for comparing an AI interview summary with a human interview summary to obtain a conclusion on the similarities and differences of the interview summaries; and a brand strategy insight unit (21) for comparing an AI market trend with a human market trend to obtain a conclusion on the similarities and differences of the market trends.

[0062] Preferably, the AI-integrated brand strategy insight system also includes: a style focus unit (41) to extract AI keywords from the similarities and differences in the interview summary and the similarities and differences in the market trend, to obtain an AI brand keyword, and then to obtain an AI brand style context map based on the AI ​​brand keyword through AI text image generation.

[0063] Preferably, the interview summary insight unit (11) performs AI summary on an interview recording to obtain an AI interview transcript and the AI ​​interview summary. Then, it compares the AI ​​interview summary with a human interview summary to obtain the similarities and differences of the interview summary. The similarities and differences of the interview summary include the similarities and differences of the interview summary.

[0064] Preferably, the market trend insight unit (21) performs AI analysis on a brand strategy questionnaire to obtain an AI questionnaire analysis result, performs AI analysis on the AI ​​questionnaire analysis result to obtain the AI ​​market trend, and then compares the AI ​​market trend with a human market trend to obtain the market trend similarity and difference conclusion. The market trend similarity and difference conclusion includes the similarities and differences between the market trend results.

[0065] Preferably, the market trend insight unit (21) further performs AI analysis based on the AI ​​market trend, the artificial market trend, and the similarities and differences in the market trends to obtain an AI communication strategy result.

[0066] Preferably, the style focus unit (41) includes an automated image processing unit (411) that extends the functionality of Adobe Creative Cloud through Adobe I / O Runtime to establish an automated workflow for image processing.

[0067] Preferably, the style focus unit (41) includes a data tagging group (412) that imports Google Cloud Vision API to automatically tag existing design resources, quickly classifies images, and provides more accurate visual suggestions based on the client's brand needs.

[0068] Therefore, this creation brings new possibilities to brand management. Through this creation, industry peers can not only help brands to understand the market more deeply, but also help brands to make wiser decisions and accurately seize market opportunities to cope with rapid market changes, providing new ideas for future brand management.

[0069] In summary, this work aims to address the challenge of not only saving design time but also improving design quality. Therefore, by incorporating AI tools, this project assists brand strategy departments in systematizing preliminary research and analysis in a more efficient manner, while simultaneously combining human expertise with AI tools to further enhance design quality.

[0070] The present invention has been disclosed using the preferred embodiments described above, but is not intended to limit the invention. Those skilled in the art will clearly understand that the invention is not limited to the details of the illustrative embodiments described above. The embodiments are merely illustrative and not restrictive of the invention, which is based on the claims, not the foregoing description. The wording and equivalents of the claims are within the scope of the patent rights of this invention.

[0071] S11~S215: Steps (11): Interview Summary Insight Unit (21): Market Trend Insight Unit (41): Style Focus Unit (411): Automated Image Processing Department (412): Data Tagging Department

Claims

1. An AI-driven brand strategy insight system, comprising: an interview summary insight unit (11) for comparing an AI-generated interview summary with a human-generated interview summary to obtain conclusions on the similarities and differences between the interview summaries; wherein, The AI ​​interview summary is generated by the interview summary insight unit (11) summarizing the content of an interview recording from an interview meeting; the human interview summary is generated by a human summarizing the content of the interview recording; both the AI ​​interview summary and the human interview summary contain the content of business progress, challenges faced, and future action plans; the interview summary similarities and differences conclusions include the similarities and differences between the interview summary. A market trend insight unit (21) is used to compare an AI market trend with a human market trend to obtain a conclusion on the similarities and differences of market trends. The AI ​​market trend is generated by the market trend insight unit (21) analyzing the results of an AI questionnaire, and the AI ​​questionnaire analysis results are generated by a computer analyzing the brand strategy questionnaire. The human market trend is generated by a human summarizing the content of the AI ​​questionnaire analysis results. Both the AI ​​market trend and the human market trend include age distribution trends and consumption frequency trends. The conclusion on the similarities and differences of market trends includes the similarities and differences of market trend results. A style focus unit (41) is used to extract AI keywords from the similarities and differences of the interview summary and the similarities and differences of the market trends to obtain an AI brand keyword, and generate a corresponding AI brand style scenario diagram from the AI ​​brand keyword through AI text image generation technology.

2. As described in Request 1, the AI-integrated brand strategy insight system, wherein, The Style Focus Unit (41) includes an automated image processing unit (411) that extends the capabilities of Adobe Creative Cloud through Adobe I / O Runtime to establish automated workflows for image processing.

3. As described in request item 1, the AI-integrated brand strategy insight system, wherein, The style focus unit (41) includes a data tagging unit (412) that imports the Google Cloud Vision API to automatically tag existing design resources, quickly classify images, and provide visual suggestions based on the client's brand needs.

Images