Abstract: Inventory management is the core of supply chain management. In order to fully adapt to the pull supply chain guided under"customer order-driven real-time industry-to-commerce transactions"in the tobacco industry, and to improve the turnover efficiency of finished cigarette inventory management under the"comprehensive front-loading"mode, the models for input-output, inventory forecast and inventory transfer optimization were developed with the Model Predictive Control(MPC)theory on the basis of comprehensive front-loading operation mode of industrial and commercial enterprises. Targeting the "one-time front-loading + hub-and-spoke front-loading", a distributed inventory control optimization strategy was proposed, and an empirical study was conducted by taking a single logistics hub along with several distribution centers as an example. The results showed that the said inventory control strategy decreased the average inventory, the number of transportation trips and the standard deviation of the in-stock volume at a city level warehouse by 24.21%, 36.84% and 9.93%, respectively. This strategy improves inventory turnover efficiency, enables economical batch transportation, and balances warehousing workload, providing both a theoretical basis and innovative insights for the tobacco industry to further strengthen inventory management and reduce logistics costs.