MayI Supplys ‘mAsh’ to Seobuk Stores... “Visitor Data Analysis Time Cut by 90%”
TECHWORLD ·
✦ AI Summary
MayI has signed a supply deal with Seobuk for its store analytics AI solution, mAsh.
Seobuk operates Waku Waku, Photoism, and Getcha, and decided to introduce mAsh from the planning stage for the opening of its Waku Waku and Getcha stores.
Seobuk is using mAsh to collect and analyze visitor data in an effort to improve the accuracy of sales analysis and store operations.
MayI has signed a supply deal with Seobuk, an offline brand operator, for its store analytics AI solution, mAsh. Seobuk operates the “Waku Waku,” “Photoism,” and “Getcha” brands.
Rather than the usual approach in which store operation data is gradually accumulated after a store opens, Seobuk decided to introduce mAsh during the planning stage for the opening of its Waku Waku and Getcha stores. Aiming for data-driven store operations, Seobuk sought to secure objective visitor data from the moment of opening.
Using objective visitor data, Seobuk is pursuing greater accuracy in sales analysis and systematic improvements in store operations. According to MayI, Seobuk has cut the time needed to collect, analyze, and report visitor data by about 90% since introducing mAsh.
Seobuk is using mAsh to analyze foot traffic and visitor trends in front of its stores by day, week, month, and hour. According to Seobuk, at large stores such as the Waku Waku outlet in Busan, it is also using customer dwell-time heat maps and sales data by device to gain a more three-dimensional understanding of traffic flow and sales patterns inside large stores.
Seobuk described mAsh as a solution based on MayI’s proprietary deep-learning algorithm. mAsh analyzes visitor data based on existing CCTV footage and provides key performance indicators (KPIs) and insights. It also complies with domestic and international privacy laws and does not require the installation of separate cameras, allowing existing CCTV systems to be used as is, which was a major factor in Seobuk’s decision to adopt it.
At Seobuk, strategy planning staff and on-site operations leaders are using mAsh data. Based on the data, they are changing store layouts and optimizing product placement. In addition, the data is being used to establish short-term operational strategies and long-term visual merchandising (VMD) plans.
Kim Min-seok, CEO of Seobuk, said that quantifying store conditions made it possible to clearly analyze the causes of sales. He also said that data now serves as a common language in team decision-making, strengthening the objectivity of communication. Kim said Seobuk plans to expand the use of mAsh to additional new stores and to other brands it operates, with the goal of building a standardized operating model and realizing integrated online and offline data management.
Kim Chan-gyu, CEO of MayI, cited Waku Waku as a case in which data-driven operations were designed from the store planning stage, saying it was a meaningful collaboration that showed how such proactive adoption contributes to improved store efficiency and faster decision-making. He added that, based on this partnership, MayI will lead efforts to support data-driven operational innovation across Seobuk’s various lifestyle brands.
Source: TECHWORLD · Ikwang-jae Lee
Original: https://www.epnc.co.kr/news/articleView.html?idxno=408353
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Source: TECHWORLD
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