Group 1 - The company announced a share repurchase plan with a maximum amount of RMB 500 million, intending to buy back up to 10% of its issued H shares, which equates to 18,026,633 shares, reflecting management's confidence in the company's future prospects and long-term investment value [1] - The company is a leading industrial internet platform in China that empowers rural family stores through digital technology and supply chain capabilities, focusing on the "AI+ strategy" to enhance its operations [1] - The company aims to deepen its efforts in three main areas: "AI+ industrial platform," "AI+ SaaS," and "AI+ smart terminals," to achieve a digital upgrade across the entire supply chain from factories to member stores [1] Group 2 - In February, the company was the first in the industry to integrate mainstream large models like DeepSeek and launched "AI employees" [2] - In April, the company officially released its AI+ strategy and product matrix, including the self-developed "Qiancheng Cloud AI Smart Model" and "Qiancheng AI Super Store Manager" app [2] - The new version of the "Qiancheng AI Super Store Manager" was released on June 5, enhancing AI capabilities and supporting conversational interactions for more efficient store management [2]

Core Insights - The company is enhancing its retail operations through the introduction of smart delivery lockers in its mobile digital member stores, improving delivery efficiency and customer satisfaction [1] - The implementation of AI tools, such as the "Qiancheng Cloud AI Intelligent Model," is streamlining inventory management and marketing strategies for member store owners, significantly increasing operational efficiency [3] - The company is deepening partnerships with leading brands like Apple and Oulin, resulting in increased customer traffic and sales during promotional events, with a notable 20% increase in store repurchase rates compared to the previous year [4] Group 1: AI Integration - The company launched the "Qiancheng Cloud AI Intelligent Model" in April, which has been actively utilized in various operational aspects, including intelligent product selection and marketing [3] - Member store owners are now using AI as a daily operational tool, allowing for streamlined ordering processes based on specific requirements [3] - The average service volume for member stores has exceeded 2000 interactions per day since the AI model's release [3] Group 2: Supply Chain and Partnerships - The company is enhancing its supply chain by collaborating with top brands, which has positively impacted customer engagement and sales performance [4] - The integration of online, offline, and community-based strategies has led to significant improvements in customer traffic and sales during major promotional events [4] - The company plans to deploy over 10,000 member stores across 15 key provinces, focusing on smart home products and promotional activities [4]

Core Insights - Jiangsu province has registered 28 large models, ranking fifth in the country, but there is significant room for improvement in both quantity and quality [1] - The development of large models in Jiangsu is seen as having great potential, especially in aligning with its manufacturing industry [1][10] Group 1: Current Status and Applications - The five newly registered large models target specific niches, including agricultural and intelligent manufacturing applications [1] - The "Qiancheng Cloud AI Intelligent Model" has been launched to enhance operational efficiency in rural e-commerce, providing services 1,000 to 2,000 times daily and supporting monthly orders of 100,000 yuan [2] - The "Changgan Model," the first cultural heritage model in the country, has been integrated into a digital museum platform, achieving over 35 million views and 850,000 registered users [3] - Jiangsu has over 100 typical application scenarios for large models across various sectors, including industry, finance, and healthcare, leading the nation [4] Group 2: Government Support and Infrastructure - Local governments and industrial parks are prioritizing large model enterprises and projects for development [5] - The "Suan Shu Space" in Nanjing aims to foster an AI innovation community, providing services for model registration and evaluation [6] - Suzhou has launched measures to support the development of large models, including financial incentives for models with over 100 billion parameters [8] Group 3: Challenges and Opportunities - The lack of talent who understand both large models and specific industries is a significant challenge for development [9] - Despite the challenges, Jiangsu's data resources and computing power are growing, with a total computing power of 33.8 EFlops, of which 19.4 EFlops is dedicated to large models, marking a 118% increase from last year [10] - The province's rich industrial data can support the training of vertical large models, and there is a call for stronger collaboration between academia and industry to cultivate talent [10][11]