To enhance the efficiency of real-time meteorological data access for local disaster prevention and mitigation authorities, the Jiangsu Meteorological Bureau spearheads the development of a specialised Decision-Meteorological Service Mobile Application (APP). The APP, driven by user needs, adopts a strategic approach to prioritise key decision-making factors while enhancing the user experience. The APP integrates multi-source meteorological data, expertise, and diverse application scenarios to provide comprehensive and scenario-based meteorological services. By deploying behaviour-driven and weather-integrated recommendation algorithms, it enables personalised service customisation for different user groups. Leveraging the “DeepSeek-R1-Distill-Qwen-32B” large language model and integrating speech recognition and dynamic dialogue state tracking technologies, the meteorological conversation robot “Su Xiaoce” is developed to support intelligent question-and-answer and function navigation to deliver conversational services. Given its precision-tailored and operationally effective service, the APP is fully implemented across key disaster prevention departments in Jiangsu Province. The system provides preemptive early warnings, real-time emergency alerts, and sustained operational support during disaster weather prevention and mitigation, offering a replicable and promotable technical path for the construction of decision meteorological service capabilities.