通过综合需求预测、库存管理、价格优化和产品推荐,阿里巴巴实现了数百万美元的成本节约

IF 1.1 4区 管理学 Q4 MANAGEMENT Informs Journal on Applied Analytics Pub Date : 2023-01-01 DOI:10.1287/inte.2022.1145
Yuming Deng, Xinhui Zhang, Tong Wang, Lung-Chuang Wang, Yidong Zhang, Xiaoqing Wang, Su Zhao, Yunwei Qi, Guangyao Yang, Xuezheng Peng
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引用次数: 4

摘要

阿里巴巴开发了一系列模型和算法,包括用于需求预测的深度学习算法、用于库存管理的基于模拟优化的模型、用于促销的价格优化以及用于产品推荐的降价优化。这些模型和算法在过去三年中已在其多个零售业务子公司的全渠道零售基础设施中实施,并产生了每年超过1亿美元的成本降低和利润增加。
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Alibaba Realizes Millions in Cost Savings Through Integrated Demand Forecasting, Inventory Management, Price Optimization, and Product Recommendations
Alibaba has developed a series of models and algorithms that include deep-learning algorithms for demand forecasting, simulation-optimization-based models for inventory management, price optimization for promotions, and markdown optimization for product recommendations. These models and algorithms have been implemented in its omnichannel retail infrastructure of several retail business subsidiaries over the past three years, and have generated more than 100 million dollars in annual cost reductions in cost and increases in profit.
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