On June 19th, the Tencent Cloud Industry Large Model and Intelligent Application Technology Summit was grandly held in Beijing, and DMALL was invited to attend. At the meeting, Tencent Cloud, in conjunction with dozens of partners, officially launched the Industry Large Model Co-construction Plan. As a retail cloud solution service provider serving the physical retail industry, DMALL will jointly build a retail-exclusive industry large model with Tencent Cloud, actively promoting the application of the large model in the retail field.

The AI large model drives the "emergence of wisdom", bringing new development opportunities to thousands of industries. "The industry large model has very significant advantages in the accuracy, adaptability in industry scenarios, and the threshold for landing applications. It can bring more intelligent decision-making and predictive capabilities, more personalized services and supports, as well as more efficient innovation and R & D capabilities." Zhang Feng, the president of DMALL, expressed his recognition of the prospects and value of the industry large model.

The application of the large model and the industrial scenario have become a crucial battleground. Choosing partners with vertical in-depth experience and capabilities in the industry has become the established strategy for the landing of Tencent Cloud's industry large model. Tang Daosheng, the Senior Executive Vice President of Tencent Group and CEO of the Cloud and Smart Industries Group, also said: "Ecological co-construction is an effective path for the development of AI. Tencent will adhere to ecological openness and accelerate the innovative exploration of the large model in industrial scenarios."

Without a high level of digitalization, the application of the industry large model can only be a castle in the air. Taking the physical retail industry as an example, it has a long chain and many links, as well as many professional business scenarios. Only by deconstructing and reconstructing all the complex business links in the industry into a data-driven process to achieve the penetration and efficient circulation of underlying data, can the industry large model deeply understand the characteristics of the retail industry, quickly analyze and solve complex and professional problems, and provide more accurate solutions in optimizing customer experience and reducing costs and improving efficiency for enterprises. In addition, the industry large model needs to learn and calculate a large amount of industry data. This process also relies on the digitalization level of the retail industry to make the collection, processing, and application of massive industry data more efficient, so as to ensure that the industry large model can provide more intelligent decisions and more real-time services for retail enterprises.

Since its establishment in 2015, DMALL has been committed to changing the retail industry with digital technologies such as AI, big data, and cloud computing, providing a cloud-based one-stop, end-to-end digital retail SaaS platform for the local retail industry to help retail enterprises achieve digital transformation. At the same time, as a strategic partner of Tencent, DMALL is also a pioneer and practitioner in the field of physical retail digitalization in Tencent Cloud's ecosystem. It has rich practical experience in the digital transformation of various retail formats, and the system operates and carries a massive amount of industry data. The scenarios cover the entire retail chain from zero-supply collaboration, supply chain management, store management, headquarters management, omni-channel operation, and member management. It can be said that DMALL's eight-year exploration has laid a solid foundation for the digitalization of the industry for the landing of the industry large model in the physical retail industry and provided a wide range of retail application scenarios.

For example, through voice recognition and the processing and understanding of natural language, the large language model can assist intelligent customer service and intelligent shopping assistants to provide customers with more intelligent and efficient immediate answers, suggestions, and supports, improving customer experience and satisfaction, and reducing enterprise costs. Through capabilities such as text generation and AI painting, the industry large model also has a great imagination space in optimizing member management and marketing effects. The industry large model can also make more valuable use of massive customer interaction content and data, such as automatically generating product detail pages. At the same time, retail enterprises can also efficiently complete store training and other work by using the knowledge output capability of the industry large model.

Tencent Cloud is one of the important cloud service providers in China, with very deep technical precipitation in algorithms, platforms, ecosystems, etc. At the same time, Tencent Cloud also has rich experience in deeply cultivating the industrial Internet. In the process of integrating the landing experience of industry benchmark cases, it continuously accumulates high-quality Chinese data. Its pragmatic attitude coincides with DMALL's concept of using technology to assist the digital transformation of the retail industry.

The explosive development of the industry large model is an important opportunity for physical retail enterprises to carry out digital transformation, and it also indicates an increasingly urgent time window. In the future, DMALL and Tencent Cloud will give full play to the advantages of Tencent Cloud's industry large model high-performance computing cluster, as well as DMALL's profound industry insights and mature digital infrastructure in the retail industry, to jointly build a retail industry large model, provide customers with a better shopping experience, and also help more retail enterprises share the dividends of digitalization and intelligence.