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  6. [Case Study] Retail/AI Function Person Attribute Analysis

[Case Study] Retail/AI Function Person Attribute Analysis

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last updated:Feb 01, 2023

Idein 本社
Idein 本社
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Introducing examples of understanding the behaviors and attributes of non-purchasing customers that cannot be captured through POS data.

We would like to introduce a case study that addresses the issue of having a high number of store visitors without corresponding sales. By implementing "Actcast" and installing AI cameras in the store to analyze the gender and age of visitors, it becomes possible to understand the differences between purchasing and non-purchasing customers. By cross-referencing the data of non-purchasing customers with POS data, it is possible to determine whether the targeted audience truly matches the customer demographic. Furthermore, based on these results, you can optimize the display shelves to fit the customer demographic, as well as review products, in-store displays, and promotional content. [Case Overview] ■ Challenge - High number of store visitors, but not translating into sales ■ Results - Understanding the differences between purchasing and non-purchasing customers - Optimizing display shelves based on the results to match the customer demographic - Ability to review products, in-store displays, and promotional content *For more details, please refer to the related links or feel free to contact us.

    DMPIoT
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[Case Study] Retail/AI Function Person Attribute Analysis

2022-10-21_17h31_06.png
2022-10-21_17h31_06.png
  • Related Link - https://www.idein.jp/ja/actcast

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"Actcast," the Edge AI platform, has been ranked No. 1 in domestic market share for two consecutive years. - It dramatically reduces device costs by enabling advanced AI analysis on small, inexpensive devices the size of a credit card (allowing the use of AI analysis typically performed on devices costing hundreds of thousands of yen on devices costing only a few thousand yen). - Our proprietary acceleration technology allows for cutting-edge AI analysis without the need to lighten AI models. - By using sensing devices equipped with cameras, microphones, and thermometers, it can collect and utilize diverse real-world information. - It enables remote management and operation of multiple devices. - Edge AI only sends the minimum necessary information to the cloud, allowing for use while considering privacy and confidential information. Regarding "No. 1 in domestic market share": Based on the survey results from Deloitte Tohmatsu Research Institute's "Actual Conditions and Future Outlook of the Edge AI Computing Market 2022 Edition" (https://mic-r.co.jp/mr/02530/) regarding "Vendor Share (Number of Units) of Edge AI Platforms." *For more details, please refer to the related links or feel free to contact us.

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Idein

Idein 本社

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We are a startup with unparalleled technological capabilities that has achieved the acceleration of deep learning inference on inexpensive general-purpose devices. We have developed the edge AI data collection platform "Actcast" using this technology, providing services to developers and businesses that develop, implement, and utilize practical AI/IoT systems. Moving forward, we will continue to contribute to the proliferation of AI/IoT systems in collaboration with our partner companies. Our mission is "to enable all information in the real world to be handled by software," and we have been selected as a J-Startup by the Ministry of Economy, Trade and Industry in Japan, as well as being recognized as a NEXT unicorn company by the Nikkei. We are also highly regarded internationally, becoming an AI Partner of Arm and an Inception Program Partner of NVIDIA.

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シスメット 本社/福岡県北九州市 ・東日本オフィス/埼玉県入間市 ・北日本オフィス/北海道札幌市

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