A Novel Ai Framework for Personalisation and Customization of Product Prices through Bigdata Analytics

Sudharson D, Aman Kumar Dubey, Arun Kumar B, S. J, Neha F, Kavinaya S K
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引用次数: 1

Abstract

Businesses are looking for novel solutions to automate online shopping due to the worldwide rapid growth of online transactions which eventually results in Bigdata. The surviving retail operation of faring channels are not able to obtain a convenient successful collaboration between channels. Therefore, this article comes up with a novel solution of creating an Artificial Intelligence (AI) poweredshopbot. A shopbottracks the price of the product and compares it with the other E-commerce platforms and suggests customers the best platform to purchase the product that they desire to buy. This avoids wasting of additional time for looking up each retailer's price. By using this strategy customers may rapidly compare fares from several vendors for the same goods with the help of shopping bots through bigdata analysis.
通过大数据分析实现产品价格个性化和定制的新型Ai框架
由于全球范围内在线交易的快速增长,最终导致了大数据的产生,企业正在寻找新的解决方案来实现在线购物的自动化。幸存的零售运营的票价渠道无法在渠道之间获得便捷的成功协作。因此,本文提出了一个创建人工智能(AI)驱动的购物机器人的新颖解决方案。商店跟踪产品的价格,并将其与其他电子商务平台进行比较,并建议客户购买他们想要购买的产品的最佳平台。这避免了浪费额外的时间来查找每个零售商的价格。通过使用这种策略,消费者可以通过大数据分析,在购物机器人的帮助下,快速比较几家供应商相同商品的价格。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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