On March 17, 2025, DingTalk officially released a revolutionary AI technology - AI customer service assistant. This function can seamlessly connect to the company's official website, WeChat official account and other platforms, and directly provide efficient services to consumers and corporate customers. Since its launch, AI customer service assistants have quickly gained wide recognition in the market, attracting more than 700 companies including Yunshenzhong Technology, Rokid, Redelin, Aiwei Electronics, Precision Science, etc. to access and use it.
DingTalk AI customer service assistant can accurately capture the real needs of users and effectively deal with complex problems, such as "product parameter comparison" and other in-depth consultation content. When a user asks a question, the AI customer service assistant will first search for relevant information in the knowledge base, and then combine the understanding ability of the big model to provide professional and accurate replies. This function not only realizes 7×24-hour online service, but also can respond in seconds, completely breaking away from the limitations of traditional mechanical speech and becoming the "strongest brain" to deeply digest product manuals, technical parameters and service processes.
In addition, DingTalk has also opened up the ability to deploy AI assistants to external platforms such as WeChat service accounts, subscription accounts, mini programs and enterprise official websites, allowing enterprises to provide users with convenient services through more channels. This means that whether users are consulting on WeChat official accounts, corporate official websites or other platforms, the customer service they talk to may come from DingTalk AI assistant, which greatly improves service coverage and user experience.
Since the launch of AI Assistant in January 2024, DingTalk AI has built a complete product system from general capabilities to vertical scenarios. The AI customer service assistant launched this time can be quickly launched in just three steps, with three core advantages: First, the product manuals, technical documents or official website product links accumulated by the company in the past can be quickly converted into training materials for AI assistants, without building a knowledge system from scratch, and even adapting to more external knowledge base training needs through secondary development; second, enterprises do not need to build from scratch based on big models, but can complete the entire process of creating, training and deployment of AI customer service assistants within Dingding. Users can not only choose multiple bottom models themselves, but also combine workflow capabilities to achieve multi-person collaboration and continuous service. AI assistants can also synchronize user feedback information to Dingding applications such as multi-dimensional tables and Yidai to achieve automatic synchronization of customer suggestions and technical issues; finally, Dingding freely opens the multi-platform deployment capabilities of AI assistants, which can be published to web pages, public accounts, mini programs, etc. in one click, allowing enterprises to quickly have a customer service AI intelligent body that understands business and products.