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  4. 【Release of New Features in Sensory AI Analytics】Started offering "Custom Sensory Scales" that allow users to analyze design impressions based on their unique evaluation criteria.
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  • Sep 05, 2025
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Sep 05, 2025

【Release of New Features in Sensory AI Analytics】Started offering "Custom Sensory Scales" that allow users to analyze design impressions based on their unique evaluation criteria.

感性AI 感性AI
The web service "Kansei AI Analytics," which analyzes and visualizes the impressions of images and texts using AI trained on consumer data, allows for the evaluation of package design, naming, and catchphrases based on various adjectives from a marketing research perspective. As a new feature, we have released the "Custom Kansei Scale," which enables users to create their own unique impression evaluation scales and analyze the impressions of images based on them. This feature was developed in response to numerous requests from our customers, such as "I want to evaluate using industry-specific terms" and "I want to measure whether it aligns with the image our brand aims for." By quantifying evaluation axes specific to industries and brands, such as "looks delicious" and "brand identity," we can identify differentiation points from competitors and delve deeper into consumer insights, contributing to more strategic creative design.
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Image Analysis AI Tool "Kansei AI Analytics"

Analyze naming, catchphrases, and packaging from the perspectives of phonetics, images, and text!

"Emotional AI Analytics" is an image analysis AI tool that instantly analyzes and visualizes the sound of names, the impression of catchphrases, and package designs using AI trained on consumer data. Without conducting surveys such as marketing research, it enables instant testing of names, catchphrases, and package designs. Additionally, it allows for easy text mining from your existing documents. 【Features】 ■ Impression evaluation analysis ■ Analysis by age and gender, and by product ■ Analysis results that are easy to understand intuitively ■ Project registration function ■ Display of average values ■ CSV download of data *For more details, please refer to the related links or feel free to contact us.

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Emotional AI Analytics Application: "Exploration of Consumer Needs"

When you are in charge of multiple products, we solve the problem of not being able to come up with ideas easily!

We would like to introduce the feature "Associative Word Brainstorm" of the image analysis AI tool "Kansei AI Analytics" for exploring consumer needs. By entering a keyword, a large number of words associated with that keyword are displayed. You can expand associative words based on popular snacks to consider the next hit product, or explore new flavors, allowing for various leaps in creativity. 【Features】 ■ By entering a keyword, a large number of words associated with that keyword are displayed. ■ You can expand associative words based on popular snacks to consider the next hit product or explore new flavors, enabling various leaps in creativity. *For more details, please refer to the related links or feel free to contact us.

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Emotional AI Analytics Application "Package Development"

Solving the problem of not having enough time to reach a package that realizes the concept!

We would like to introduce the feature "Package Analytics" in the development of the image analysis AI tool "Kansei AI Analytics." It instantly visualizes the impressions consumers have of packaging. Since it can quantify the impressions of packaging proposals without conducting surveys, the time for package development is significantly reduced. This solves the problem of "not having enough time to reach a package that realizes the concept." 【Features】 ■ Instantly visualizes the impressions consumers have of packaging ■ Since it can quantify the impressions of packaging proposals without conducting surveys, the time for package development is significantly reduced *For more details, please refer to the related links or feel free to contact us.

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Emotional AI Analytics Application "Catchphrase and Banner Test"

Solving the problem of having few opportunities for user testing of catchphrases and banners!

We would like to introduce the feature "Catchphrase/Package Analytics" in the AI tool "Kansei AI Analytics" for testing catchphrases and banners. Visualize the effectiveness of catchphrases and banners instantly. Even catchphrases and banners that are usually not subjected to research can be determined based on quantitative data using this tool. This can solve the problem of having few opportunities for user testing of catchphrases and banners. 【Features】 ■ Instantly visualize the effectiveness of catchphrases and banners ■ Even catchphrases and banners that are usually not researched can be determined based on quantitative data using this tool *For more details, please refer to the related links or feel free to contact us.

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[Case Study of Implementing Sensory AI Analytics] Daily Necessities Manufacturer

Examples of replacing research and analysis conducted by research companies or in-house.

We would like to introduce a case study on the implementation of the image analysis AI tool "Kansei AI Analytics" at a daily goods manufacturer. The manufacturer wanted to conduct market research for naming a new fabric softener product using a new fragrance technology, but due to cost-cutting measures, the number of research instances was limited, resulting in a long wait for results and concerns about meeting deadlines. After implementation, the phonetic impressions felt by consumers were instantly visualized on-site. Since there was no need to wait for research results, the team could efficiently refine naming proposals without feeling rushed, all while reducing costs. [Case Overview] ■ Before Implementation - It was a project where failure was not an option, but research costs were being cut, and there was little time before the deadline. ■ After Implementation - It became easier to compare using a position map. - The impressions of each naming proposal could be visualized, making it easier to create internal documents. *For more details, please refer to the related links or feel free to contact us.

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[Case Study of Implementing Emotional AI Analytics] Confectionery Manufacturer

Examples of justifying design selection when outsourcing to a designer!

We would like to introduce a case study on the implementation of the image analysis AI tool "Kansei AI Analytics" at a confectionery manufacturer. At this manufacturer, the criteria for selecting packaging had become based on intuition, and they were struggling with how to choose designs that effectively conveyed their concept due to a lack of research funding. After implementation, they were able to visualize color impressions in graphs simply by uploading images. It became possible to select packaging with emotional value that they wanted to convey to consumers based on solid evidence from multiple ideas. [Case Overview] ■ Before Implementation - They were always selecting packaging ideas based on intuition, but they wanted to demonstrate internally that they could make selections based on evidence that would contribute to sales. ■ After Implementation - By using visually clear selection criteria, the level of agreement within the company increased, and they were able to showcase the presence of their department. *For more details, please refer to the related links or feel free to contact us.

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[Case Study of Implementing Emotional AI Analytics] Advertising Agency

Examples of cases when submitting as supporting materials for proposals to clients!

We would like to introduce a case study on the implementation of the image analysis AI tool "Kansei AI Analytics" at an advertising agency. As an advertising agency, we have been delivering catchphrase proposals for hand soap to clients, but since these proposals were created based on years of intuition and insights, it was difficult to provide evidence for them, making it challenging to gain client approval. After the implementation, the emotional impressions felt by consumers can be instantly visualized in graph form on the spot. Since evaluations can be conducted repeatedly, we are now able to assess all catchphrases from the stage of brainstorming ideas for delivery. [Case Overview] ■ Before Implementation - While we could understand the tendencies preferred by the persona from past data, we could not provide evidence for why this catchphrase resonates, as it was based on long-standing intuition. ■ After Implementation - By being able to provide evidence for intuitive insights, the delivery process has become smoother, and the number of requests has increased. *For more details, please refer to the related links or feel free to contact us.

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[Case Study of Utilizing Affective AI Analytics] Language Description of Images and Persona Setting

Efficiently verbalizing images and materializing persona settings! A case study on accelerating the construction of worldviews and concepts.

We would like to introduce a case study utilizing "Sensory AI Analytics" in the design of automobiles at automotive company B. By analyzing freely written documents from brainstorming meetings, target hearings, and surveys, we visually grasped frequently used words and the relationships between them. Additionally, we confirmed the words that the target associates through text and images in the expression of the worldview and the creation of mood boards, exploring vocabulary to express the image. 【Case Overview】 ■ Subject: Automobile design ■ Challenge: Verbalizing images and sourcing materials for persona setting ■ Effect: Accelerating the construction of worldview and concepts *For more details, please download the PDF or feel free to contact us.

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[Case Study of Utilizing Emotional AI Analytics] Efficient Advertising/Product Design

A case that can be analyzed as having the impression leading to attention and purchases is "youthfulness" and "vitality"!

We will introduce case studies of utilizing "Emotional AI Analytics" for efficient advertising/product design. A certain company faced the challenge of not clearly understanding what kind of creative would attract attention and lead to sales. By combining the viewing and purchasing data of their own creatives with emotional evaluations of the creatives, they were able to identify impressions that are believed to lead to attention and sales. [Case Overview] ■ Challenge - They wanted to create creatives efficiently with minimal variation. ■ Solution - By combining their own creatives' viewing and purchasing data with emotional evaluations, they were able to identify impressions that are believed to lead to attention and sales. *For more details, please download the PDF or feel free to contact us.

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[Case Study on the Use of Emotional AI Analytics] Selection of Packages that Fit the Concept

An example of being able to use visually clear selection criteria!

We would like to introduce a case study utilizing "Emotional AI Analytics" in the selection of packaging at advertising agency A. The company faced a challenge where designers typically selected product packaging based on intuition, but ideally wanted to make selections based on evidence. By utilizing this tool, it became possible to choose packaging that conveys the desired emotions to consumers, backed by solid reasoning from multiple ideas. 【Case Overview】 ■Challenge - The product concept itself is "cheerfulness" and "fun," so they wanted to select packaging ideas that align with this concept. ■Solution - By using visually clear selection criteria, it became an effective persuasive tool during internal submissions. *For more details, please download the PDF or feel free to contact us.

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[Case Study of Utilizing Emotional AI Analytics] "Keio Corporation" Introduction of New Train Models

Examples of using "text mining" for survey analysis and word extraction!

We would like to introduce a case study utilizing "sensitivity AI analytics" for the new 2000 series train of Keio Corporation. In the concept development phase, we utilized "text mining" for survey analysis and word extraction. From multiple proposals by designers, we analyzed consumer perceptions using "image impression analysis" to determine the final design that matches the concept. [Case Overview] ■ Target: Keio Corporation New 2000 Series Train ■ Utilized Functions: Text Mining, Image Impression Analysis *For more details, please download the PDF or feel free to contact us.

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AI that supports package research and the establishment of naming rationale.

Instantly generate 'convincing selection criteria'! Supporting the foundation of consumer research with AI insights.

"There are multiple design proposals, but there is no objective basis for deciding which one to choose." "I cannot provide a convincing explanation to my superiors and stakeholders beyond just a vague sense of goodness." "When compiling a report on panel surveys, simply listing numbers is not satisfying." These are challenges that every marketing professional faces. In particular, there are many situations where a clear rationale for "why this proposal was chosen" is required within limited budgets and time. Whether it's package design, product naming, or catchphrases—despite conducting consumer research, it often takes a lot of time to interpret and explain the evaluation results, and even then, it is difficult to make them sufficiently persuasive. To address these challenges, we introduce the new features "AI Insights" and "AI Chat" added to "Kansei AI Analytics." *For more details on the column, please refer to the related link. For further inquiries, feel free to contact us.*

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Case study of AI utilization in package research: Public disclosure of the design process for beverage cans.

Introducing deep dives into concepts, market research, package testing, and the extraction of improvement measures!

The strategy of package design that is essential for attracting consumers' attention and prompting them to pick up products among the countless items lined up on the shelves of supermarkets and convenience stores. Especially in the case of beverages, packaging serves as the "face" of the product, not only shaping the brand image but also directly appealing to consumers' visual senses and emotions, significantly influencing the repeat purchase rate. Therefore, rather than relying on vague impressions, it becomes extremely important to evaluate packaging from multiple perspectives and scientifically analyze consumers' sensibilities through "packaging research." This article focuses on the package design of beverage cans and introduces effective case studies of packaging research using the AI tool "Kansei AI Analytics," which has learned from consumer survey data. *For more details, please refer to the related links. Feel free to contact us for further information.

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Aluminum casting repair: Metal crack repair without applying heat.

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The "Mechanical Stitching Method" by Nichinichisui Road Machinery Co., Ltd. is a new technique that allows for the repair of metal cracks without the application of heat. By using special bolts and reinforcement plates, cracks are physically removed, and repairs are made without causing any thermal impact on the base material. Repairs can be carried out in environments where open flames cannot be used. Since no heat is applied, the disassembly of equipment is minimized. ◎ For more details, please contact us. ◎ If a detailed technical explanation is needed, please contact us.

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