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

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

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last updated:Sep 05, 2025

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

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  • Related Link - https://www.kansei-ai.com/post/drink-packagetest

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【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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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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感性AI

感性AI

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Our company was established on May 25, 2018, through joint investment by Keio Corporation and Professor Maki Sakamoto of the National University Corporation, University of Electro-Communications. We are a company that can commercially utilize the intellectual property from the Sakamoto Laboratory at the University of Electro-Communications, which has been certified as a venture originating from the university. By creating AI that understands the hidden senses within people and supports their expression, we aim to become a platform for the utilization of sensitivity.

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