The research is devoted to the formation of innovative models for the implementation of goods flow process provided that various transport modes are involved. The “supplier - transport - consumer” interaction algorithm is an effective tool for logistics management to ensure goods flow optimization. It allows to minimize the transportation, storage costs and to ensure timely delivery of goods to final consumers. The process begins with collecting data on suppliers, consumers and transport, including volumes of goods, location, demand, availability of transport, as well as time requirements. The offered algorithm makes it possible to calculate transportation time and distances between different points, which allows to determine optimal routes. An important step is the estimation of transportation costs considering the distance, transportation cost per unit of goods, and the carrying capacity of vehicles. The model takes into account the processes of stock optimization, including the warehouse resources management, to avoid shortages or surpluses, as well as possible risks and unpredictable factors, such as delays or changes in demand, suggesting alternative scenarios to ensure supply flexibility. As a result of the proposed algorithm implementation, the total costs of transportation, storage and possible fines due to delays have been calculated, an optimized delivery plan has been formed, including the transport schedule, routes and realization control. This model provides an effective logistics chain management, reduces costs and improves customer service quality, at the same time making the transportation process flexible and adaptable to external conditions.