With socioeconomic development and population growth, demand rises steadily. Against the backdrop of global collaborative and intelligent supply chain development, issues like frequent bullwhip effect, low automated operation efficiency and scattered warehouse goods restrict overall supply chain performance and corporate core competitiveness, calling for targeted optimization. This study focuses on the field of supply chain management, aiming to mitigate the bullwhip effect, improve the efficiency of automated operations and enhance the density of goods storage. This study adopts the literature research method and case analysis method to verify the feasibility of optimization strategies. The study shows that promoting multi-enterprise cooperation can mitigate the bullwhip effect and reduce manual workload; constructing a three-dimensional best-selling index model with the entropy method to formulate storage location scheduling can enhance storage density. This study can provide references for supply chain management practices and help enterprises boost their core competitiveness in the supply chain.