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TECHS THAT ARE TRANSFORMING FASHION RETAIL

机译:改变时尚零售的技术

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Indian fashion retail market is set to grow to US $115 billion by 2027. However, understanding customers' ever-changing demands and to speed up time to market have been arduous tasks even for a big apparel retailer, but the situation is taking a positive turn due to rise in technology use in fashion retail. Year 2019 proved to be a significantly good year when apparel retailers in India tried their hands out in 4.0 technologies to pace up with the rapidly changing retail landscape. Use of Artificial Intelligence (AI), Machine Learning (ML) and data analytics has increased which are being used in functions like 'Buy Online, Pickup in Store'(BOPIS), Click & Collect, Self-Kiosk. Exciting in-store experiences, combating online shopping challenges, personalized shopping experience and better data-driven decisions are some of the benefits that the retailers have been able to deliver with the help of these technologies.
机译:印度时尚零售市场将于2027年的增长到1150亿美元。然而,了解客户不断变化的需求,并加快推向市场的时间甚至是一个大型服装零售商的艰巨任务,但情况正在持续正交由于技术零售业的技术上升。 2019年被证明是一年明显的年份,当时印度的服装零售商试图用4.0科技进行双手以快速变化的零售景观。使用人工智能(AI),机器学习(ML)和数据分析增加,在“在网上购买”(Bopis)(Bopis)(Bopis),点击&收集,自助性亭。令人兴奋的店内经验,打击在线购物挑战,个性化购物体验和更好的数据驱动的决策是零售商能够在这些技术的帮助下提供的一些好处。

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  • 来源
    《PC Quest》 |2020年第2期|57-59|共3页
  • 作者

    Deepak Mohindra;

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  • 正文语种 eng
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  • 入库时间 2022-08-18 21:31:14

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