New Way Now: Cainz is renovating the customer experience with Google Cloud

𝗦𝘂𝗺𝗺𝗮𝗿𝘆: Kunie Aoyama, lead of the next-generation store product management at Cainz, shares how Google Cloud is helping the Japanese home improvement chain construct its autonomous, next generation store. Using Google Cloud, Cainz is using advanced AI technologies, including generative AI, to merge the best of online and offline shopping to deliver a faster, seamless consumer experience. 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲: Cainz wanted to drive even more innovative shopping experiences in its next-generation store, where customers simply scan and go — without having to wait in lines to check out. 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻: Google Cloud sits at the heart of Cainz’s digital initiatives, powering many of its core applications on planet-scale infrastructure with the latest data and AI technologies. With BigQuery and Vertex AI, Cainz can drive powerful AI insights, helping to forecast product demand and guide more accurate, personalized recommendations. The company is also exploring gen AI to help lighten the load on its employees, piloting its first use case with Google’s multimodal model Gemini to eliminate repetitive marketing tasks like writing product descriptions. 𝗥𝗲𝘀𝘂𝗹𝘁𝘀: Cainz has created a strong foundation to shape new experiences that make everyday life better for customers. They’re also empowering employees to spend more time on meaningful work that delivers more value. 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗵𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀 𝗮𝗻𝗱 𝗸𝗲𝘆 𝘁𝗮𝗸𝗲𝗮𝘄𝗮𝘆𝘀: → “We use BigQuery and Vertex AI for data analytics. For example, we use it for product demand forecasting. We are using Gemini for product description. They are easy to use, and we are very excited about the high quality. ” - Kunie Aoyama, Lead of the Next Generation Store Product Management, Cainz → “Generative AI can bring changes to the retail world because customer experience can be changed a lot. Online and offline can be merged together, and from the associates' perspective, they are doing repetitive work, the heav