基于人工智能特征和数据科学工具的电子商务网站实证研究

J. Jesy, J.Santoshi Kumari, Aniket Singh Dr, A. R.Ch., Naidu, R. Sri, M. A. Prof
{"title":"基于人工智能特征和数据科学工具的电子商务网站实证研究","authors":"J. Jesy, J.Santoshi Kumari, Aniket Singh Dr, A. R.Ch., Naidu, R. Sri, M. A. Prof","doi":"10.1109/ICESC57686.2023.10193110","DOIUrl":null,"url":null,"abstract":"With the advancement of modern-day techniques in the field of Information Technology, the way of shopping through E-Commerce site is becoming outdated. There are two ways through which an individual can do shopping first is the online method and second is the offline one in today’s world online shopping by having more variety of products available on individual platform with easy way of shopping because of this day by day the retailers with offline method are facing challenges to increase their sales and obtaining data of demanding products that are available in the market, now with the growth of artificial intelligence, they can use lot of beneficiary tools to boost their business. If a giant next generation E-Commerce site is made with which we can connect all the wholesalers, retailers and customers with their own point of profits, then it can bring a new revolution in the market where there will be different layers will be available with separate user friendly graphic user interface for all wholesalers, retailers and customers, where they will be allowed to access their own layers accordingly with several unique features and benefits to save time and making shopping more amazing for customers and selling their products and boosting daily sales for the retailers with the influence of top wholesalers available to help them with the unique kind of trading system and daily analytics and progress report using data science.","PeriodicalId":235381,"journal":{"name":"2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Empirical Study on E-Commerce Site using Unique AI based Features and Data Science Tools\",\"authors\":\"J. Jesy, J.Santoshi Kumari, Aniket Singh Dr, A. R.Ch., Naidu, R. Sri, M. A. Prof\",\"doi\":\"10.1109/ICESC57686.2023.10193110\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the advancement of modern-day techniques in the field of Information Technology, the way of shopping through E-Commerce site is becoming outdated. There are two ways through which an individual can do shopping first is the online method and second is the offline one in today’s world online shopping by having more variety of products available on individual platform with easy way of shopping because of this day by day the retailers with offline method are facing challenges to increase their sales and obtaining data of demanding products that are available in the market, now with the growth of artificial intelligence, they can use lot of beneficiary tools to boost their business. If a giant next generation E-Commerce site is made with which we can connect all the wholesalers, retailers and customers with their own point of profits, then it can bring a new revolution in the market where there will be different layers will be available with separate user friendly graphic user interface for all wholesalers, retailers and customers, where they will be allowed to access their own layers accordingly with several unique features and benefits to save time and making shopping more amazing for customers and selling their products and boosting daily sales for the retailers with the influence of top wholesalers available to help them with the unique kind of trading system and daily analytics and progress report using data science.\",\"PeriodicalId\":235381,\"journal\":{\"name\":\"2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICESC57686.2023.10193110\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICESC57686.2023.10193110","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

随着现代技术在信息技术领域的进步,通过电子商务网站购物的方式已经过时了。个人可以通过两种方式进行购物,第一种是在线方式,第二种是线下方式,在当今世界,在线购物通过在个人平台上提供更多种类的产品,方便的购物方式,因为这一天,线下方式的零售商面临着增加销售和获取市场上可用的需求产品数据的挑战,现在随着人工智能的发展,他们可以使用很多有利的工具来促进他们的业务。如果有一个巨大的下一代电子商务网站,我们可以通过它将所有的批发商、零售商和客户与他们自己的利润点连接起来,那么它可以在市场上带来新的革命,将有不同的层次,将为所有批发商、零售商和客户提供单独的用户友好的图形用户界面。在那里,他们将被允许访问他们自己的层,这些层有几个独特的功能和好处,可以节省时间,让顾客购物更神奇,销售他们的产品,提高零售商的日常销售额,顶级批发商的影响力可以帮助他们使用独特的交易系统和使用数据科学的日常分析和进度报告。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Empirical Study on E-Commerce Site using Unique AI based Features and Data Science Tools
With the advancement of modern-day techniques in the field of Information Technology, the way of shopping through E-Commerce site is becoming outdated. There are two ways through which an individual can do shopping first is the online method and second is the offline one in today’s world online shopping by having more variety of products available on individual platform with easy way of shopping because of this day by day the retailers with offline method are facing challenges to increase their sales and obtaining data of demanding products that are available in the market, now with the growth of artificial intelligence, they can use lot of beneficiary tools to boost their business. If a giant next generation E-Commerce site is made with which we can connect all the wholesalers, retailers and customers with their own point of profits, then it can bring a new revolution in the market where there will be different layers will be available with separate user friendly graphic user interface for all wholesalers, retailers and customers, where they will be allowed to access their own layers accordingly with several unique features and benefits to save time and making shopping more amazing for customers and selling their products and boosting daily sales for the retailers with the influence of top wholesalers available to help them with the unique kind of trading system and daily analytics and progress report using data science.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信