Abstract: This study investigates cost management mechanisms for supply chain collaboration in logistics enterprises amid digital transformation. Empirical analysis of leading firms reveals three core challenges: 1. Information silos exacerbate the bullwhip effect, causing >30% demand forecasting deviations and 22% resource mismatch rates; 2. Technical bottlenecks constrain collaborative efficiency, with cross-system interoperability below 40% and AI sorting error rates reaching 4.7%; 3. 73% of enterprises face data fragmentation due to absent benefit distribution mechanisms. A tri-dimensional optimization framework is proposed: Technology empowerment: AIoT-integrated systems reduce empty-load rates by 18 percentage points, while smart warehouses cut costs by 15.8%; Managerial innovation: Cross-enterprise collaboration committees accelerate inventory turnover by 28%; Policy adaptation: Multimodal transport platforms reduce per-container logistics costs by ¥1,000. Blockchain trust mechanisms shorten quality dispute resolution cycles by 60%, while resource sharing lowers trunk-line costs by 25%. Implementation demonstrates synergistic pathways to reduce China's social logistics costs from 14.1% toward the national target of 13.5% of GDP.