系统管理学报 ›› 2021, Vol. 30 ›› Issue (1): 180-190.DOI: 10.3969/j.issn.1005-2542.2021.01.017

• 行业研究 • 上一篇    下一篇

人工智能重塑零售行业的底层逻辑:综述及展望

周雨薇,吕巍   

  1. 上海交通大学 安泰经济与管理学院,上海 200030
  • 出版日期:2021-01-28 发布日期:2021-03-08
  • 作者简介:周雨薇(1991-),女,博士生。研究方向为人工智能与消费者行为、人工智能在营销中的应用。
  • 基金资助:
    国家自然科学基金资助项目(71972130)

Underlying Logic of Artificial Intelligence Reshaping the Retail Industry: Overview and Prospect

ZHOU Yuwei,LU Wei   

  1. Antai College of Economics and Management,Shanghai Jiao Tong University,Shanghai 200030,China
  • Online:2021-01-28 Published:2021-03-08

摘要: 人类正进阔步迈进智能时代、智能社会。人工智能作为一种应用场景广泛、开放性的技术深刻地改变着零售行业,对零售价值链持续优化,技术的突破覆盖每一个业务阶段,使它们相互叠加并彼此影响。人工智能对零售行业变革的核心内涵是以技术为核心驱动,通过提供价值触达供应端和需求端,直接造成人与企业的互动的颠覆性变化,促成了“AI+零售”的创新融合新格局。全面梳理了人工智能在零售行业的应用的具体实例,详细分析了人工智能处理任务的4种类型,归纳出人工智能在零售行业的应用和新零售场景的塑造。并且,深入剖析了人工智能应用场景落地引起零售行业变革升级的底层逻辑,将其归纳为有效性价值、效率性价值、体验性价值和增强性价值4大关键因素。最后,提出消费者和企业分别所面临的显性和隐性的挑战。

关键词: 人工智能, 零售, 任务自动化, 数值数据分析, 图像和文本分析, 上下文感知, 营销策略, 企业决策

Abstract: Human beings are stepping into an intelligent era and an intelligent society. As a technology with extensive and open application scenarios, artificial intelligence (AI) has profoundly changed the retail industry. AI continues to optimize the retail chain, and technological breakthroughs will overlay each business stage and make them influence each other. The core connotation of the transformation of the retail industry by AI is driven by technology. By providing value to the supply-side and consumption-side, AI directly causes the disruptive change of the interaction between consumers and companies and contributes to the new pattern of “AI+ retail”. In this paper, specific examples of the application of AI in the retail industry are comprehensively sorted out, four types of AI tasks are analyzed in detail, and the application of AI in the retail industry and the new retail scenarios are summarized. In addition, the underlying logic of the transformation and upgrading of retail industry caused by the landing of AI application scenario are analyzed in an in-depth manner and classified into the effectiveness value, the efficiency value, the experience value, and the enhancement value. Finally, explicit and implicit challenges faced by consumers and enterprises are proposed.

Key words: artificial intelligence, retail industry, task automation, numerical data analysis, image and text analysis, context awareness, marketing strategy, business decision

中图分类号: