Use Cases

Despite DOASIS offering 60 types of bread, AI helps staff quickly identify each item, speeding up checkout and reducing staff training time.

Since its implementation in June 2024, Viscovery’s AI image recognition system has brought remarkable changes to Korea’s SO ALL TOO BAKERY. Let’s delve into the motivations behind their adoption and hear firsthand insights from their representative, Mr. Jo Joo-yong.

In NEIGHBORS BREAD, customers choose bread items from behind the glass for the staff to pick them up. It may seem unnecessary to use AI, but the bakery saw an opportunity to streamline operations with AI support.

In 2022, Heritage Hotel underwent a comprehensive upgrade of OH! PAL’s checkout equipment, swapping out outdated ECRs for iPad POS systems and integrating Viscovery AI image recognition technology. This move expedited the checkout process and reduced training time for staff.

Diners often lose their valuable break time waiting in lengthy checkout lines in employee cafeterias. To tackle this issue, a hospital cafeteria adopted AI in 2023.

Recently, OasisTime, a micro-market operator in Sendai, integrated AI into its self-checkout system to enhance the user experience and deployed it in a large, well-known department store in Sendai.

Hi Noodle, a dining brand by Haidilao in Singapore, improves its self-checkout system with AI to streamline and speed up the process.

AI helps Aroma Pastry increase checkout speed, reduce error rates, improve customer satisfaction, and streamline manpower.

Japanese Bakery “It’s so good” found that Viscovery’s AI system not only enhances checkout efficiency but also helps with workforce streamlining.

Ai Jia Nongzuo revamped operations with AI checkout to address workforce shortage, combining it with store renovation for future readiness.