Language model-based supply chain intelligent task optimization method and device

The invention discloses a supply chain intelligent task optimization method and system based on a language model. The method comprises the steps of obtaining task data of a supply chain, and performing identification and extraction processing to provide key information; analyzing and generating product demand prediction data of different task addresses based on the identified and extracted key information; based on the product demand prediction data, giving a product inventory distribution adjustment scheme including all task addresses; and confirming or modifying the product inventory distribution adjustment scheme, and giving a final product inventory distribution adjustment scheme. According to the method, through integration and intelligent processing of multi-source data, efficient and accurate demand prediction and inventory optimization are provided, user interaction and decision support are enhanced, and the overall performance and efficiency of supply chain management are greatly improved. 本发明公开了一种基于