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  6. [Case Study of Implementing Emotional AI Analytics] Confectionery Manufacturer

[Case Study of Implementing Emotional AI Analytics] Confectionery Manufacturer

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last updated:Apr 21, 2025

感性AI
感性AI
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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.

    Business Intelligence and Data Analysis
お菓子メーカー.PNG

[Case Study of Implementing Emotional AI Analytics] Confectionery Manufacturer

お菓子メーカー.PNG
お菓子メーカー.PNG
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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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