Core Insights - The article emphasizes the importance of AI in optimizing fresh product clearance in the retail industry, combining demand forecasting with dynamic pricing to enhance both profit and efficiency [2][3][19] Group 1: Industry Challenges and AI Opportunities - Fresh product clearance is a critical yet challenging operational scenario in supermarkets, directly impacting product freshness and consumer experience [3][4] - Poorly designed discount strategies can lead to significant profit losses for stores, highlighting a persistent pain point for retailers [3][4] - AI's core value lies in its ability to integrate demand prediction with dynamic pricing, helping businesses ensure product sell-through while increasing the proportion of full-price sales [9][19] Group 2: Company Overview and Technological Advancements - Dmall Inc., established in 2015, is a leading provider of retail digital solutions in Asia, addressing the fresh product clearance challenge through advanced technology [3][4] - The company plans to upgrade its core system, Dmall OS, to version 3.0 in 2024, incorporating AI technology, and will prioritize generative AI in its strategy by 2025 [3][4] Group 3: AI Implementation and Operational Efficiency - Dmall's AI model utilizes large-scale data to optimize clearance strategies, balancing product freshness with store profitability [4][8] - The model aims to automate decision-making processes, reducing reliance on manual approval and enhancing operational efficiency [8][12] - The implementation of AI has shown to improve profit margins significantly, with examples indicating a daily profit increase of 3,000 yuan and a monthly profit increase exceeding 90,000 yuan for certain stores [12][19] Group 4: Feedback and Continuous Improvement - Continuous feedback from business personnel is crucial for refining the AI model, ensuring it aligns with real-world operational needs [11][17] - The model's design allows for autonomous learning, enabling it to adapt to various scenarios without being strictly bound by predefined rules [14][19] - The transition to AI-driven decision-making has led to a shift in employee roles, allowing staff to focus on higher-value tasks while the model handles repetitive processes [18][19]

Group 1 - The core viewpoint of the report indicates that the Asian retail market is experiencing significant growth driven by e-commerce penetration and the rise of cross-border e-commerce, with the market size expected to increase from 38.1 trillion yuan in 2019 to 46.0 trillion yuan by 2024, representing a compound annual growth rate (CAGR) of 3.9% [1] - By 2029, the Asian retail market is projected to reach 56.6 trillion yuan, with a CAGR of 4.2% from 2024 to 2029 [1] - China mainland accounts for 49.8% of the Asian retail market, followed by Japan at 8.7% and Southeast Asia at 7.4% [1] Group 2 - The retail industry is categorized into physical and non-physical retail formats, with physical retail still being the primary retail scenario, including supermarkets, convenience stores, and department stores [1] - The market size of the Asian physical retail industry is expected to grow from 30.3 trillion yuan in 2019 to 30.7 trillion yuan by 2024, with a CAGR of 0.3% [1] - By 2029, the Asian physical retail market is anticipated to reach 32.1 trillion yuan, with a CAGR of 0.9% from 2024 to 2029 [1] Group 3 - The report highlights the trend of digital transformation in the retail industry, driven by AI and IoT technologies, which are reshaping store operations and supply chain management [2] - Dmall has expanded its business overseas, integrating global best practices and signing long-term cooperation agreements with leading international retailers, with its Dmall OS system rapidly gaining functionality in various countries [2] - The Asian retail digitalization market is experiencing robust growth, with market size increasing from 11.1 billion yuan in 2019 to 34.4 billion yuan by 2024, reflecting a CAGR of 25.4% [2] Group 4 - The retail digitalization market in Asia is expected to reach 94.7 billion yuan by 2029, with a CAGR of 22.5% from 2024 to 2029, supported by advancements in cloud computing and IoT infrastructure [2]