Commodity cross-region supply chain management method and device based on big data and medium

The invention discloses a commodity cross-region supply chain management method and device based on big data and a medium, and the method comprises the steps: obtaining various historical sales data of each sales region of a commodity, and determining the level of the corresponding sales region according to the priority and value weight of each historical sales data; obtaining inventory data of each sales area, and judging whether the inventory data is matched with a preset inventory of the sales area; and if not, obtaining total inventory data of each sales area, and deploying inventory supply of the sales area based on a supply management model according to the level and inventory condition of each sales area. According to the invention, the level of the region is determined through the historical sales data of each sales region, the corresponding preset inventory is set based on the level, and the inventory of the sales region is allocated based on the supply management model, so that all the sales regions