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印孚瑟斯(Infosys):2025消费者、零售与物流研究报告:AI塑造未来(英文版)(32页).pdf

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1、INFOSYSCONSUMER,RETAIL,AND LOGISTICS JOURNAL:SHAPING TOMORROW WITH AIKnowledge InstituteKnowledge Institute2Infosys Consumer,Retail,And Logistics Journal:Shaping Tomorrow With AI|External Document 2025 Infosys LimitedKnowledge InstituteTable of contentsForeword 4Executive summary 5Trend 1:AI-powered

2、 revenue growth management delivers accurate insights 7Trend 2:AI solutions help manage retail shrink across the organization 11Trend 3:Consumers bring online expectations into physical stores 15Trend 4:MACH flexibility helps enterprises navigate constant disruption 19Trend 5:Use AI to drive transfo

3、rmation and collaboration 23Trend 6:The rise of AI agents that are smart,proactive,and autonomous 27Knowledge Institute3Infosys Consumer,Retail,And Logistics Journal:Shaping Tomorrow With AI|External Document 2025 Infosys Limited4Infosys Consumer,Retail,And Logistics Journal:Shaping Tomorrow With AI

4、|External Document 2025 Infosys LimitedKnowledge InstituteKnowledge InstituteForewordKarmesh VaswaniExecutive vice president and head,consumer goods and tech,retail,and logistics Infosys chairman Infosys BPM,Infosys Consulting,EdgeVerve(Finacle)Welcome to our 2025 Consumer,Retail,and Logistics Journ

5、al.Over the past few years,we have witnessed an incredible and interdependent revolution in the technology landscape across semiconductors,data technology,and artificial intelligence(AI)technology.This revolution is led by AI and machine learning,which in the coming years holds the promise of signif

6、icant leaps in human productivity compared to the revolutions of the past 100 years.But AI is not merely an enhancement to existing processes,systems,and people.It is a catalyst for renaissance and renewal.It requires businesses to critically examine enterprise performance on the five fundamental ve

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根据《INFOSYSCONSUMER, RETAIL, AND LOGISTICS JOURNAL: SHAPING TOMORROW WITH AI》的内容,以下是全文关键点的概括: 1. **AI革命**:AI和机器学习正在推动技术革命,预计将显著提高人类生产力。 2. **AI应用**:AI在消费者、零售和物流行业的多个方面得到应用,包括: - **收入增长管理**:AI帮助CPG公司通过数据分析优化定价和促销策略。 - **减少零售损耗**:AI用于识别和减少企业、仓库和店铺层面的损耗。 - **提升购物体验**:AI和数字技术帮助零售商提供无缝的线上线下购物体验。 - **MACH架构**:MACH(微服务、API优先、云原生和无头)架构帮助企业适应不断变化的市场。 - **AI转型**:企业需要建立AI战略,并培训员工以利用AI技术。 - **智能代理AI**:自主AI系统将改变工作流程,提高效率和创新能力。 3. **核心数据**: - 全球零售销售在2023年增长了10%,但部分原因是价格上涨。 - 2022年,零售盗窃损失达1120亿美元。 - 2025年,预计实体店将占全球零售销售的近80%。
"AI如何助零售业降本增效?" "AI时代,企业如何实现数字化转型?" "AI赋能,未来零售业将走向何方?"
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