Core Insights - The report highlights the accelerating digital transformation among global retail enterprises to enhance operational efficiency and competitiveness, creating significant opportunities for Chinese retail digital enterprises to expand internationally [2][3] - The demand for digital solutions in the global retail market is increasing, allowing Chinese companies to showcase their capabilities on the international stage and diversify their business [2] - Artificial Intelligence (AI) is expected to significantly improve the retail sector by enhancing customer experience, operational methods, and overall efficiency, with generative AI rapidly influencing retail operations [2][3] Industry Trends - The white paper indicates a high demand for digital transformation among retail enterprises due to rising consumer expectations and the need for further development, with the Asian retail digital market projected to reach 94.7 billion RMB by 2029, growing at a compound annual growth rate (CAGR) of 22.5% from 2024 to 2029 [3] - The retail digitalization industry possesses substantial growth potential, with companies like Multi-Point Intelligence actively exploring low-cost, reusable digital transformation solutions for retail businesses [3] Company Initiatives - Multi-Point Intelligence showcased its core product, Dmall OS, at the NRF APAC 2025 event, along with various AI products such as AI smart shopping guides and AI smart inspections, demonstrating the transformative impact of software and hardware integration on retail operations [4] - The company aims to leverage AI, cloud computing, and big data to deepen its presence in the Chinese market while expanding globally, accelerating the digital transformation of retail and supporting sustainable development in the AI era [4]

Group 1 - The essence of digital supply chains lies in building capabilities for end-to-end integration and innovation, rather than merely applying specific technologies or tasks [2] - Three key suggestions for AI application in supply chains include establishing a foundation for data and process integration, avoiding an exclusive focus on large models, and combining AI with operations research for better decision-making [2][4] - The evolution of China's supply chain has gone through four stages, from execution-focused to strategic integration, user-centric digital connections, and now to building supply chain ecosystems [3] Group 2 - Current trends in supply chain management emphasize rapid response, resilience, reconstruction, and green low-carbon initiatives, all of which are fundamentally supported by digitalization [4] - Future supply chain capabilities will depend on deeper data integration and analysis, merging operations research models with AI technology to enhance decision-making processes [5] - Successful logistics companies have transitioned from human management to system management, focusing on optimizing data usage to improve employee experience and customer value [5] Group 3 - The diversification of channels leads to order fragmentation, with many brands unaware of the full fulfillment path, resulting in high costs and inefficiencies [6] - AI and big data analytics play a crucial role in optimizing supply chain operations, such as determining warehouse locations and balancing inventory levels [6] - Multi-point intelligent supply chains utilize AI for efficient route planning and inventory management, significantly improving operational metrics like delivery efficiency and stock availability [7]