Core Viewpoint - HanShuo Technology (301275.SZ) is a well-known provider of digital solutions for retail stores, focusing on electronic price tag systems as part of its smart retail comprehensive solutions [1] Group 1: Company Overview - The company offers a complete digital store solution product portfolio, which includes AI cameras, inspection robots, and smart shopping carts, built around the electronic price tag system [1] - HanShuo Technology emphasizes its investment and layout in the field of artificial intelligence, aiming to enhance the digitalization level of retail stores through technologies like machine vision [1] Group 2: Market Strategy - The company will continue to monitor the application of cutting-edge technologies such as robots (including humanoid robots) and artificial intelligence in retail stores [1] - HanShuo Technology maintains an open attitude towards market opportunities, planning to expand through self-research or collaboration with outstanding enterprises in the field [1]

Group 1 - The company, Hanshu Technology (301275), provides smart retail comprehensive solutions centered around electronic price tag systems for clients in the pan-retail sector [1] - The company offers multiple product series and models of smart terminal electronic price tags, with varying price ranges [1] - According to the company's public information, the average unit price of multiple product series in the first half of 2024 is 42.10 yuan [1]

Core Insights - The seventh China Smart Retail Conference was successfully held in Shenzhen, focusing on the theme "Gathering AI, Co-initiating a New Ecology of Smart Retail" [1] - The conference aimed to explore the integration of AI technology with the retail industry, providing strong momentum for high-quality development in smart retail [1][3] Group 1: Conference Highlights - The conference featured six core segments, including the launch of the "Smart Retail Laboratory," the authoritative release of the "Smart Retail Ecological First Report," and the presentation of annual innovative case studies [1][3] - The "Smart Retail Ecological First Report" analyzed the current state of smart retail development and predicted future trends, offering important references for enterprises [3] - Three major "Smart Retail Innovation Achievements" were announced, recognizing nearly 30 companies for their outstanding contributions in technology innovation and industry impact [3] Group 2: Smart Retail Laboratory - The "Smart Retail Laboratory" was launched to explore paths for digital, intelligent, and smart upgrades for enterprises, aiming to reduce trial and error costs and foster innovation [5] - The laboratory seeks to establish a collaborative ecosystem for smart retail, promoting structural reforms in supply-side and supporting high-quality development in the retail sector [5] Group 3: Expert Insights - Experts shared insights on organizational, technological, ecological, and scenario dimensions, emphasizing the shift from traditional retail structures to customer-centric agile networks [7][8] - AI's role in enhancing efficiency and precision in retail operations was highlighted, with applications in areas such as franchise review, site selection, and marketing strategies [8] - The concept of "AI Smart Code" was introduced as a second-generation ID for products, enabling full lifecycle data integration and improving supply chain efficiency [10] Group 4: AI Solutions and Applications - The conference included a session on eight innovative AI solutions, with representatives from various companies presenting core solutions for digital upgrades in retail [11] - AI's potential to empower retail chains and enhance operational efficiency was discussed, with examples of successful AI applications in the retail sector [12] - A panel discussion addressed the challenges and future directions of AI in the retail industry, providing strategic insights for decision-making [13]

Core Insights - The article highlights the significant role of digital industries in enhancing productivity and integrating the real economy with the digital economy [1] Group 1: Digital Industry Development - The Yangtze River Delta's digital industry is evolving, with companies like Huitongda Network showcasing advancements in AI and digital solutions for local businesses [1][2] - Huitongda has launched five AI products aimed at improving retail operations and enhancing customer engagement in local stores [2] Group 2: AI Integration in Retail - Huitongda's collaboration with Alibaba Cloud focuses on creating comprehensive digital solutions for smart retail and supply chain management, particularly in lower-tier markets [2] - The introduction of the "AI Store Manager" app exemplifies how AI can streamline operations from procurement to sales, significantly benefiting local shop owners [1][2] Group 3: AI Model Development - The establishment of the Xuanwu Large Model Factory is pivotal for AI innovation, providing a platform for developing and deploying large models across various industries [3] - The factory has successfully launched multiple industry-specific models, demonstrating the effectiveness of a factory-like approach to AI development [3][4] Group 4: Future Prospects - The potential for embodied intelligent robots powered by large models to enter homes and production environments within the next three to five years is a promising outlook for the industry [5]

Core Insights - The retail industry is undergoing a profound transformation driven by the digital economy and consumer upgrades, redefining the "people-goods-space" relationship [1] Group 1: Data Intelligence - Traditional retail faces challenges of data fragmentation, which innovators are addressing through self-developed intelligent management systems that create a closed loop from data collection to decision-making [2] - The intelligent management system features three core capabilities: dynamic product selection algorithms, intelligent site selection systems, and precise marketing engines [2] - The implementation of this system has led to significant improvements in single-point efficiency, with some terminals experiencing annual revenue growth rates exceeding the industry average [2] Group 2: Virtual-Real Integration - Modern smart vending devices have evolved beyond mere product sales to become multi-functional platforms that include brand communication and user experience [3] - Innovations include virtual product services through O2O models, customizable brand spaces, and media matrix functions that link screen advertising with mobile platforms [3] - This transformation allows individual terminals to serve multiple roles, enhancing commercial value through a multiplicative effect [3] Group 3: Ecological Development Trends - Leading companies are focusing on building intelligent device ecosystems to meet community and scenario-based consumer demands [4] - Key strategies include service extension into areas like laundry and coffee, data sharing through cross-industry analysis models, and strategic partnerships with infrastructure companies [4] - Companies that develop ecological systems see device usage frequency increase by over 40% compared to single-function devices [4] - The next phase of smart retail will focus on deep applications of AI decision systems, traceable carbon footprints in green retail, and experience optimization based on emotional computing [4]

"虚实"兼得：一台机器背后的双重价值 新世纪以来，信息技术的迅猛发展，为零售业提供了高效的销售渠道与营销手段，但也令整个行业日渐 陷入"销量增长"与"品牌建设"难以兼顾的困境。在中粮集团关于"强化智慧零售业务在集团全产业链协 同与赋能"的部署要求下，中粮智尚与集团其他板块联合制定专项协同方案，利用中粮智尚的智慧零售 平台覆盖高质量人流，驱动中粮集团整体智慧零售业务实现增长，同时有效宣传中粮集团品牌及产 品，"中粮良品会"智慧零售生态平台成功落地。 与传统意义上的无人贩卖机不同，"中粮良品会"可根据品牌需求，量身定制个性化促销活动。尤为突出 的是，"中粮良品会"终端突破传统自动售货机仅售实体商品的局限，创新引入虚拟商品，实现线上线下 无缝融合。以"中粮良品会"为载体，打造"销售增长+品牌展示"的融合平台，截至目前，已完成北京、 广州、深圳、成都等十余个城市的落地投放。"中粮良品会"的造型设计，体现了集团视觉形象。中粮智 尚总经理魏星表示，公司将积极发挥智慧零售平台的"链长"作用，深度整合集团内部资源，通过产品创 新、渠道融合、数据驱动与精细化消费者运营，打造中粮智慧零售新生态，将其建设为集团的宣传新阵 地。 近 ...

Investment Rating - The report does not explicitly provide an investment rating for the smart retail industry Core Insights - The smart retail industry is characterized by the integration of AI, big data, and IoT technologies to enhance consumer experience and operational efficiency, shifting from a product-centric to a consumer-centric model [12][13][27] - The future development trends of smart retail include internal system integration, instant delivery services, personalized recommendations, and catering to the aging population [6][18] Summary by Sections Research Purpose & Summary - The report aims to systematically outline the practical paths, development history, policy environment, application scenarios, and future trends of smart retail [2] Smart Retail Practice Path - The core principle of smart retail is to utilize emerging technologies to gain insights into consumer habits, predict consumption trends, and guide production, focusing on demand forecasting and store analysis [4][15] - Key applications include smart stores and instant retail, which aim to optimize supply chains and enhance consumer experiences through data integration [4][6] Smart Retail Industry Overview - Smart retail is defined as the reconstruction of the retail industry through AI, big data, and IoT, focusing on consumer experience rather than just products [12][13] - The evolution of China's retail industry has progressed through traditional retail, e-commerce, new retail, and now smart retail, with significant technological integration [18][19] Policy Environment - Since 2020, the government has introduced various policies to encourage the smart transformation of retail facilities and the application of technological achievements in consumer sectors, aiming to establish a modern retail system by 2029 [21] Application of Smart Retail - Smart stores serve as the core carriers of smart retail, utilizing technologies like facial recognition and AI to enhance customer interaction and operational efficiency [25][27] - Instant retail, as a significant branch of smart retail, leverages technology and local supply to provide rapid delivery services, with a strong growth trend in lower-tier markets [28][32] Industry Application by Sector - The report highlights various sectors such as supermarkets and restaurants, emphasizing the need for data-driven consumer insights and the integration of online and offline channels to enhance customer engagement and operational efficiency [34][35]

Core Insights - The digital economy is becoming a new driving force for economic and social development, with smart retail expected to exceed 1 trillion RMB by 2025 due to various factors including policy support and technological innovation [1][5] - Heng Life, a smart retail service platform, recently held its 2025 National Agent Conference, marking a significant milestone in its development and providing insights into the future direction of the smart retail industry [1][8] Industry Overview - Smart retail has transitioned from a trend to reality, with advancements such as intelligent cabinets and facial recognition payment systems [2] - The Chinese government is actively promoting digital economy and new consumption models, with policies supporting the digital transformation of retail [2] Company Strategy - Heng Life has expanded its services to over 340 cities, offering around 500 different service scenarios and serving 2 billion people since its establishment in 2020 [2][3] - The company utilizes a "IoT + Internet + Smart Life" model, focusing on optimizing product and service experiences while exploring future interactive fields [5][6] Product and Market Development - Heng Life's product line includes smart retail terminals, entertainment devices, and electric vehicle charging stations, aligning with national strategies for new energy and green travel [3][5] - The company is actively developing innovative payment solutions and collaborating with popular IPs to cater to younger consumers [6] Ecosystem and Collaboration - Heng Life emphasizes building a strong, open, and collaborative ecosystem as a core business philosophy, investing over tens of millions annually in R&D to support its agents [7] - The company is fostering cross-industry collaborations to enhance operational efficiency and improve user experience [7][8]