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Coresight Research&英特尔:2025年零售技术十大趋势报告(中译版)(21页).pdf

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1、January 6,2025Copyright 2025 Coresight Research.All rights reserved.Retail 2025:10 Trends in Retail TechnologySponsored byExecutive SummaryIn-StoreE-CommerceOperations1.Retail Computing:On the Edge and in the CloudThe center of computing has become decentralized,taking place both in the cloud and on

2、-premisesi.e.,on“the edge”of the networkdriven by an explosion of data,the proliferation of in-store devices and the requirements of computer vision(CV).2.Computer Vision:The In-Store Swiss Army KnifeCV is fundamental to easing friction for consumers and enabling many loss-prevention and inventory-t

3、racking applications.The number of CV applications is likely to increase further in 2025 due to the ubiquity of in-store cameras and the growing number of capabilities and applications powered by AI(artificial intelligence)and CV.3.Mobile Devices Empower Frontline WorkersRetailers face challenges fr

4、om a high turnover rate and growing competition for associates from other sectors.Mobile devices provide one possible solution as these devices help train associates,make them more efficient and assist them in providing better customer service,creating a better work environment.4.The Store:Retail Me

5、dias Final FrontierExpanding retail media into the store presents a large and lucrative opportunity that retailers should consider now in order to stay ahead of the competition.5.Shopping Nirvana:Images,Voice and Natural LanguageCurrently,various technologies for image,voice and natural-language sea

6、rch exist.In 2025,these technologies will be increasingly combined,with AI integration leading to superior customer experiences and more sophisticated and seamless offers.6.Personalization at Scale Could Finally Be HereToday,customer data platforms(CDPs)can identify unknown customers and enhance seg

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本文主要讨论了2025年零售技术的前景,包括10个关键趋势: 1. 边缘计算和云计算:零售计算中心已变得去中心化,在云和本地(即网络的“边缘”)进行,由爆炸性数据增长、店内设备激增和计算机视觉(CV)需求推动。 2. 计算机视觉:CV是减轻消费者摩擦和实现许多防损和库存跟踪应用的基础,2025年CV应用数量可能会进一步增加。 3. 移动设备赋能前线员工:零售商面临员工高流动率和来自其他行业的竞争挑战,移动设备提供了一种可能的解决方案。 4. 零售媒体:将零售媒体扩展到店内提供了巨大的机会,零售商应考虑现在就采取行动,以保持领先地位。 5. 购物天堂:图像、语音和自然语言:2025年,这些技术将越来越多地结合在一起,AI集成将引领更先进和无缝的优惠。 6. 规模化的个性化:CDP可以识别未知客户并增强细分和定位,但未来,GenAI将能够根据CDP提供的客户配置文件创建个性化的相关消息和沟通。 7. 民主化数据访问和分析:GenAI使用自然语言接口,使企业中的每个人都能访问被困在孤岛中的数据。 8. 代理AI已经到来:2025年及以后,AI代理有望得到主流部署。 9. GenAI可以解锁供应链:GenAI可以从整个供应链中获取非结构化数据,并允许用户使用自然语言提出问题。 10. 需求预测3.0:GenAI提供将非结构化数据纳入预测并使用自然语言查询预测的能力。
边缘计算和云计算如何影响零售业? 如何通过AI和CV技术提升零售体验? 如何帮助零售前线员工提高效率和客户服务?
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