SCOPE把供应链各环节的决策打通了，在叮咚和京东的真实数据上验证过，比各自单独优化效果更好，做供应链的可以看看。
供应链补货计划中的品类选择、货源分配、补货频率和配送路线相互关联，传统分部门独立优化易导致缺货和运输浪费。SCOPE将供应链实体表示为token，通过共享运营表示和决策接口实现跨环节耦合规划。在城市生鲜补货场景中，SCOPE在叮咚买菜和京东两个不同梯级的真实运营数据上进行了评估。相比分阶段优化基线，SCOPE在两个数据集上均取得更优的端到端运营效果。
SCOPE: Supply-Chain Operations through Coupled Policies for End-to-End Coordination
Can supply-chain AI move beyond isolated decision modules toward unified operational planning? A complete replenishment plan specifies which products each location carries, which upstream facility supplies it, how often it is replenished, and how deliveries are routed. These decisions are operationally coupled: the selected assortment changes the demand and load passed to later stages; source assignment and replenishment frequency reshape the delivery requests; and route feasibility and cost, in turn, determine the system value of the earlier choices. Yet in modern supply chains, these decisions are often handled by separate departments and optimized through separate systems, which can lead to stockouts, inventory exposure, and avoidable transportation. We propose SCOPE: Supply-Chain Operations through Coupled Policies for End-to-End Coordination, a composite policy model that represents supply-chain entities as tokens, contextualizes them through a shared operational representation, and maps each token type to the corresponding decision interface. Each decision builds on the partial plan formed by earlier decisions while the completed plan is evaluated using a shared system-level utility. We instantiate this framework in urban fresh-retail replenishment, where service frequency, assortment, capacity pressure, and road-network routing interact strongly, and evaluate it on real operational data from Dingdong and JD.com, two large-scale supply chains operating at different replenishment echelons. Across both settings, SCOPE consistently outperforms methods that optimize each decision stage separately, as well as practice-oriented baselines commonly used in supply-chain operations. These results show that learning and coordinating cross-department operational couplings lead to more effective end-to-end supply-chain decisions.