With the advancement of the rural revitalization strategy, preventing poverty recurrence among previously impoverished populations has become a crucial social concern. The application of big data technology in poverty recurrence monitoring and agricultural product sales systems can effectively enhance precise identification and early warning capabilities, promoting the sustainable development of rural economies. This paper explores the application of big data technology in poverty recurrence monitoring, analyzes its innovative integration with agricultural product sales systems, and proposes an intelligent monitoring and sales platform model based on big data, aiming to provide a reference for relevant policy formulation.