Abstract: The focus of unmanned retail terminals for new retail is how to provide customers with a satisfactory shopping experience. At present, when providing services, unmanned retail terminals pay more attention to customers' demands for commodity types in different scenarios, and often ignore other differentiated demands such as price, quality and shopping time. However, the characteristic of unmanned retail terminals, such as unattended operation, the need for flexible replenishment and distribution of goods, determine that in providing differentiated services, it is inseparable from the effective support of the supply chain network, which requires the reasonable integration of various resources in the supply chain network. Based on the analysis of customer demand preference under different scenarios, the selection mechanism of supply chain members in the integration of unmanned retail terminal resources is discussed, and the mining and classification methods of key factors is put forward in this paper. On this basis, the corresponding integration optimization model and algorithm are constructed. Finally, based on the relevant data of an unmanned retail terminal enterprise in Beijing, the feasibility, effectiveness and operability of the integrated optimization model and the improved ant algorithm are verified. The research results show that the resource integration of the unmanned retail terminal supply chain network from the customer’s demand preference in different scenarios can effectively improve customer satisfaction in different scenarios. The ideas and methods of supply chain resource integration optimization proposed in this paper have important reference significance for unmanned retail terminal enterprises to meet customer needs and achieve long-term development.

Key words: unmanned retail terminals, demand preference, resource integration, key factors