Transforming ERP systems with collaborative AI: Paving the path to strategic growth and sustainability

IF 4.5 Q2 COMPUTER SCIENCE, THEORY & METHODS
Array Pub Date : 2025-09-16 DOI:10.1016/j.array.2025.100517
Muhammad Adeel Mannan , Abdul Khalique Shaikh , Abdullah Ayub Khan , Kaamran Raahemifar , Mohamad Afendee Mohamed
{"title":"Transforming ERP systems with collaborative AI: Paving the path to strategic growth and sustainability","authors":"Muhammad Adeel Mannan ,&nbsp;Abdul Khalique Shaikh ,&nbsp;Abdullah Ayub Khan ,&nbsp;Kaamran Raahemifar ,&nbsp;Mohamad Afendee Mohamed","doi":"10.1016/j.array.2025.100517","DOIUrl":null,"url":null,"abstract":"<div><div>Collaborative AI is one of the essential part of any system now a days for sustainability of any system especially ERP. Tis research study investigates the collaborative AI integration to ERP systems implementation and its impact on it while business growth and long term organizational sustainability. For any businesses encounter critical issues with digitalization, compliance and optimization in today's innovative and intelligent society. Recent advancements in the suggested collaborative AI-ERP frameworks are investigate in this article, predictive analytics for long-term sustainability in decision-making, natural language based interfaces for user engagement, and machine learning implementation for process improvement. We analyze key areas of implementation problems and potential future paths that could impact both scholarly facts and commercial uses. By strategically formalize these resources, and enabling the circular economy, AI-enhanced system ERP implementation may support growth and sustainability goals and increase te operational efficiency.</div></div>","PeriodicalId":8417,"journal":{"name":"Array","volume":"28 ","pages":"Article 100517"},"PeriodicalIF":4.5000,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Array","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590005625001444","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
引用次数: 0

Abstract

Collaborative AI is one of the essential part of any system now a days for sustainability of any system especially ERP. Tis research study investigates the collaborative AI integration to ERP systems implementation and its impact on it while business growth and long term organizational sustainability. For any businesses encounter critical issues with digitalization, compliance and optimization in today's innovative and intelligent society. Recent advancements in the suggested collaborative AI-ERP frameworks are investigate in this article, predictive analytics for long-term sustainability in decision-making, natural language based interfaces for user engagement, and machine learning implementation for process improvement. We analyze key areas of implementation problems and potential future paths that could impact both scholarly facts and commercial uses. By strategically formalize these resources, and enabling the circular economy, AI-enhanced system ERP implementation may support growth and sustainability goals and increase te operational efficiency.
用协作人工智能改造ERP系统:为战略增长和可持续性铺平道路
协作人工智能是任何系统的重要组成部分之一,现在任何系统的可持续性,特别是ERP。本研究探讨了协同人工智能集成到ERP系统的实施及其对业务增长和长期组织可持续性的影响。在当今创新和智能的社会中,任何企业都遇到了数字化、合规性和优化的关键问题。本文研究了建议的协作式AI-ERP框架的最新进展、用于决策长期可持续性的预测分析、用于用户参与的基于自然语言的界面以及用于流程改进的机器学习实施。我们分析了实现问题的关键领域以及可能影响学术事实和商业用途的潜在未来路径。通过战略性地使这些资源正规化,并实现循环经济,人工智能增强的系统ERP实施可以支持增长和可持续性目标,并提高运营效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Array
Array Computer Science-General Computer Science
CiteScore
4.40
自引率
0.00%
发文量
93
审稿时长
45 days
×
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:604180095
Book学术官方微信