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Belle Fashion Group and DeepTech have collaborated to create Li Ying, an AI-driven platform that optimizes retail operations. This platform utilizes over 200 data dimensions to enhance inventory management and restocking processes. The partnership aims to revolutionize retail by integrating AI into product lifecycle management, improving efficiency and decision-making.
The development of Li Ying marks a significant shift in how retail data is processed and utilized. By adopting a Lakehouse architecture, Belle Fashion has unified its data services, allowing for real-time insights and streamlined operations. This collaboration not only addresses existing data challenges but also sets a new standard for AI applications in the retail sector.
• Li Ying processes terabytes of data for real-time retail insights.
• DeepTech pivoted from middle platforms to AI-driven solutions for retail.
Li Ying serves as an AI-driven platform that enhances retail operations through data analysis.
Belle Fashion adopted Lakehouse architecture to unify data services and improve operational efficiency.
Li Ying provides process visualization, revealing the entire product lifecycle for better decision-making.
Belle Fashion utilizes AI through Li Ying to optimize inventory management and enhance retail efficiency.
DeepTech focuses on AI-driven solutions, partnering with Belle Fashion to develop innovative retail technologies.
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