Core Insights - The collaboration between Cainiao and Mixue Group aims to enhance supply chain management through AI-driven sales forecasting and intelligent replenishment systems [1][2] Group 1: Partnership Details - Cainiao will develop a supply chain management system for Mixue Group that integrates sales forecasting, intelligent replenishment, and full-chain raw material supply [1][2] - The new system is designed to transition Mixue Group's supply chain from experience-based to AI-driven, improving efficiency while controlling costs [1] Group 2: Company Background - Mixue Group operates two major brands, Mixue Ice City and Lucky Coffee, with over 53,000 stores across 13 countries and regions [2] - The AI supply chain product provided by Cainiao will enhance raw material supply efficiency and address business growth challenges for Mixue Group, minimizing waste and ineffective capital use [2] Group 3: Cainiao's Global Strategy - Cainiao is focusing on digitalization and automation, increasing investments in overseas markets, and has established local logistics technology teams in regions including the Americas, Asia-Pacific, Middle East, and Europe [2] - As of now, Cainiao's logistics technology products have been implemented in 27 countries and regions globally, with over 800 international cooperation projects [2]

Core Insights - Recently, Cainiao and Mixue Group have reached a technology cooperation agreement, where Cainiao will develop a supply chain management system for Mixue Group, focusing on sales forecasting and integrating intelligent replenishment and raw material supply chain management [1] Group 1: Supply Chain Management - The new system aims to transition Mixue Group's supply chain management from experience-driven to AI-driven, addressing the complexities of raw material procurement, storage, and transportation [1] - Mixue Group's product offerings, including popular items like fresh lemon water and fresh orange juice, involve short shelf-life products, increasing the difficulty of supply chain management [1] Group 2: Market Challenges - With intensifying market competition, ensuring product supply during frequent promotional activities has become a new challenge for chain enterprises in supply chain management [1] - The AI supply chain product provided by Cainiao will utilize AI to predict sales and intelligently generate replenishment plans, enhancing the efficiency of procurement, warehousing, and transportation [1] Group 3: Operational Efficiency - The new system is designed to support Mixue Group's rapid business growth, helping to avoid raw material waste and ineffective capital occupation while maintaining cost control [1]

Core Insights - The collaboration between Cainiao and Mixue Group focuses on developing an AI-driven supply chain management system that enhances sales forecasting and inventory replenishment efficiency [1] - Mixue Group operates over 50,000 stores across 13 countries, with brands including Mixue Ice City and Lucky Coffee, facing challenges in managing complex supply chains for perishable products [1] - The new AI supply chain product aims to streamline procurement, warehousing, and logistics, addressing the challenges posed by increased promotional activities and market competition [1] Group 1 - Cainiao will create a supply chain management system for Mixue Group that integrates sales forecasting and full-link supply of raw materials [1] - The AI system will improve supply chain efficiency and cost control while supporting Mixue Group's rapid business growth [1] - Unlike many supply chain technology companies, Cainiao has extensive supply chain operations and practical experience, ensuring a tailored solution for Mixue Group [1] Group 2 - Cainiao is expanding its digital and automated research and development efforts, investing in overseas markets with local logistics technology teams in regions such as the Americas, Asia-Pacific, Middle East, and Europe [2] - The logistics technology products of Cainiao have been implemented in 27 countries and regions globally, with over 800 collaborative projects [2]