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Artificial intelligence in E-commerce fulfillment: A case study of resource orchestration at Alibaba’s Smart Warehouse
International Journal of Information Management ( IF 21.0 ) Pub Date : 2021-01-08 , DOI: 10.1016/j.ijinfomgt.2020.102304
Dan Zhang , L.G. Pee , Lili Cui

Despite heightened interest, integrating artificial intelligence (AI) into businesses remains challenging. Recent surveys show that up to 85 % of AI initiatives ultimately fail to deliver on their promises. Studies on successful AI applications that could provide invaluable lessons for organizations embarking on their AI journey are still lacking. Therefore, this study aims to understand how AI technology, people, and processes should be managed to successfully create value. Building on the resource orchestration perspective, this study analyzes the successful applications of AI at Alibaba's e-commerce fulfillment center. The findings indicate that the key AI resources include data, AI algorithms, and robots. These resources must be orchestrated (e.g., coordinated, leveraged, deployed) to work with other related resources, such as warehouse facilities and existing information systems, to generate strong AI capabilities. The key AI capabilities generated include forecasting, planning, and learning. More importantly, AI capabilities are not independent – they interact and coevolve with human capabilities to create business value in terms of efficiency (e.g., space optimization, labor productivity) and effectiveness (e.g., error reduction). The implications of understanding these social informatics of AI for research and practice are discussed.



中文翻译:

电子商务中的人工智能:以阿里巴巴智能仓库中的资源编排为例

尽管人们的兴趣日益浓厚,但将人工智能(AI)集成到企业中仍然充满挑战。最近的调查显示,多达85%的AI计划最终未能兑现其承诺。仍然缺乏关于成功的AI应用程序的研究,这些应用程序可以为从事AI之旅的组织提供宝贵的经验教训。因此,本研究旨在了解如何管理AI技术,人员和流程以成功创造价值。基于资源编排的观点,本研究分析了AI在阿里巴巴电子商务履行中心的成功应用。研究结果表明,关键的AI资源包括数据,AI算法和机器人。必须对这些资源进行协调(例如,协调,利用,部署)以与其他相关资源一起使用,例如仓库设施和现有信息系统,以产生强大的AI功能。生成的关键AI功能包括预测,计划和学习。更重要的是,人工智能功能不是独立的,它们在效率(例如,空间优化,劳动生产率)和有效性(例如,减少错误)方面与人类能力互动并共同发展,以创造业务价值。讨论了理解人工智能的这些社会信息学对研究和实践的意义。空间优化,劳动生产率)和有效性(例如减少错误)。讨论了理解人工智能的这些社会信息学对研究和实践的意义。空间优化,劳动生产率)和有效性(例如减少错误)。讨论了理解人工智能的这些社会信息学对研究和实践的意义。

更新日期:2021-01-08
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