
Client Interview(成功事例ご紹介)
By optimizing shifts based on the store's entry rate,
the number of members increased by 200%.
AEON RETAIL Co., Ltd.

事業内容
総合小売業
Webサイト
インタビュー
衣料商品企画本部ダブルフォーカス事業部 事業部長 寺脇様 衣料商品企画本部コーディネーター部 オムニチャネル推進リーダー 竹中様
導入店舗
MUDILAF SHIBUYA 109店
assignment
While we previously verified purchase data, we lacked a detailed analysis of the process from store visit to purchase.
Our data collection was limited to temporary, visual observations of foot traffic, making it urgent to develop business and product plans based on continuous data and to digitize purchasing behavior.
Furthermore, a mismatch between customer numbers and staffing levels resulted in a low conversion rate, which was another challenge.
Solution through implementation
Visualizing store data has allowed us to accurately grasp the effectiveness of our initiatives numerically, such as a 5.2% increase in store entry rates due to new product launches.
By optimizing staffing based on this data, we achieved dramatic results, including improved customer service during weekday evenings and a 200% increase in membership compared to the previous month.
Currently, we are able to create more precise plans using a common language.
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Understand ABEJA Insight for Retail in 3 Minutes! Find out why AI cameras are transforming retail stores and discover concrete steps for improvement, available now.
[Document Contents]
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What Insight for Retail can do
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Results and case studies from our clients
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Why we are chosen
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The optimal pricing plan for your business
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[Common Inquiries]
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