Traditionally, production and transportation planning processes are managed separately in organizations. In such arrangements, order processing, load planning, and transportation scheduling are often done sequentially, which can be time consuming. Establishing a proactive steady flow of products between two nodes of a supply chain can bypass this order-plan-ship process. A steady flow of products can reduce transportation costs, increase cross-dock productivity, and reduce bullwhip effect upstream in the supply chain. This thesis develops an analytical framework to calculate this steady flow. The determination of eligible SKUs in this approach is performed by analyzing each SKU’s historical and forecasted demand. The level of flow of each SKU is found using optimization with the objective of maximizing total savings. The methodology was tested on a plant-to-warehouse lane of a fast moving consumer goods company. The relationship between demand characteristics and optimal steady flow was studied. It was found that as the coefficient of variation decreases, the optimum steady flow moves closer to the mean of the non-zero demand and selected forecast over the model horizon. The methodology developed in the research, with its potential to reduce transportation cost and improve warehouse productivity, also presents the opportunity for new and innovative contract types with transportation providers.