Order intelligent warehouse allocation optimization method, device and equipment and storage medium

By constructing a multi-source data integration database for warehouse allocation decisions and utilizing the XGBoost prediction model and genetic ant colony algorithm for optimization, multi-objective optimization and adaptive adjustment for abnormal scenarios in e-commerce order warehouse allocation have been achieved. This solves the problems of single data and insufficient real-time performance in existing technologies, thereby improving order fulfillment efficiency and customer satisfaction.

CN122414976APending Publication Date: 2026-07-17SHANGHAI YUNDA HIGH TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHANGHAI YUNDA HIGH TECH CO LTD
Filing Date
2026-03-26
Publication Date
2026-07-17

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Abstract

本发明涉及信息处理技术领域，尤其涉及一种订单智能分仓优化方法、装置、设备及存储介质，通过根据多源数据构建分仓决策数据库，基于分仓决策数据库，对各区域未来短时间内的订单总量、各品类商品需求数量进行预测，根据多目标优化问题和预设的约束条件，求解预测结果的分仓决策全局最优解，根据分仓决策全局最优解执行第一分仓策略，并对分仓决策数据库的实时数据进行持续监测，当监测结果为判断异常时，则触发重新求解机制，基于实时数据生成第二分仓策略，并执行策略切换，能够实现多维度数据整合、多目标优化求解、异常场景自适应调整，进而提升分仓决策的精准度和实时性，优化仓储资源和物流运力配置，提高订单履约效率和客户满意度。
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