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  • DOI:10.1109/ACCESS.2019.2928979
  • Corpus ID: 199013270
A Detailed Review of Artificial Intelligence Applied in the Fashion and Apparel Industry@article{Giri2019ADR, title={A Detailed Review of Artificial Intelligence Applied in the Fashion and Apparel Industry}, author={Chandadevi Giri and Sheenam Jain and Xianyi Zeng and Pascal Bruniaux}, journal={IEEE Access}, year={2019}, volume={7}, pages={95376-95396}, url={https://api.semanticscholar.org/CorpusID:199013270} }
  • Chandadevi GiriSheenam Jain+1 author P. Bruniaux
  • Published in IEEE Access 2019
  • Business, Computer Science
TLDRA systematic literature review of research articles associated with artificial intelligence in the fashion and apparel industry found research gaps were identified in the applications of AI techniques, at the supply chain stages and from a business (B2B/B2C) perspective.ExpandView on IEEEieeexplore.ieee.orgSave to LibrarySaveCreate AlertAlertCiteShare89 CitationsBackground Citations24 Methods Citations5 Results Citations1View All

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Topics

AI-GeneratedSupply Chain (opens in a new tab)Artificial Intelligence (opens in a new tab)Computer Vision (opens in a new tab)Web Of Science (opens in a new tab)Image Recognition (opens in a new tab)Optimization (opens in a new tab)Scopus (opens in a new tab)Machine Learning (opens in a new tab)Literature Review (opens in a new tab)

89 Citations

Citation TypeHas PDFAuthorMore FiltersMore FiltersFiltersSort by RelevanceSort by Most Influenced PapersSort by Citation CountSort by Recency

Systematic Literature Review on Artificial Intelligence and Sustainable Practices in the Apparel Industry

    Mr. Raghavan SanthanamDr. Ajit Kumar KhareResearch MethodologyEnvironmental Science, BusinessJournal of Informatics Education and Research
  • 2024
TLDRKey findings reveal that AI applications significantly enhance operational efficiency and sustainability in apparel manufacturing and supply chains and underscore the potential of AI to transform the apparel industry by integrating sustainable practices into core operations.Expand
  • 2
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Bibliometric Analysis of Artificial Intelligence in Textiles

    Habiba HalepotoT. GongS. NoorH. MemonComputer Science, Materials ScienceMaterials
  • 2022
TLDRThis study conducted the first descriptive bibliometric analysis to examine the most influential journals, institutions, and countries in the field of artificial intelligence in textiles to unfold new research domains for researchers in computer science, electronics, material science, imaging science, and optics.Expand
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Digital Intelligence as Prerequisite of Artificial Intelligence's Integration in the Clothing Industry 4.0

    Evangelia KampakakiE. PapahristouComputer Science, EngineeringSETN Workshops
  • 2020
TLDRThere is a gap in research that examines the required digital competency and intelligence of the future workforce in the apparel industry especially in the country, allowing educators to make necessary changes to their curricula to better prepare students with the required skillsets.Expand
  • 5
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  • 1 Excerpt
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The Critical Role of AI and Big Data in Revolutionizing Apparel Design

    Jubin LuoWisut KhunsiriBusiness, Computer ScienceInternational Journal of Sociologies and…
  • 2025
TLDRThe findings confirm that AI improves prediction accuracy by over 30% through integrating social media, sales data, and other real-time sources, while Big Data-driven "just-in-time production" models reduce inventory waste by 25%.Expand
  • 2 Excerpts
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Text Mining for Supply Chain Risk Management in the Apparel Industry

    Sayed Mehdi ShahM. LütjenM. FreitagBusiness, Computer ScienceApplied Sciences
  • 2021
TLDRThis study has identified a comprehensive list of various available data sources for text mining, methodologies and risks associated with outsourcing in the apparel industry, and classify the gaps in expanding the application of text mining in the clothing industry’s Supply Chain Risk Management.Expand
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Rhetoric and reality of artificial intelligence in apparel sector in Sri Lanka: comparative case study

    R.M.S. SandatharakaS.A.C.H. NandasiriV.H.K. NeranjaniP.N. GayashanT. LiyanageBusiness, Computer Science7th International Conference on Business Research…
  • 2024
TLDRThe rhetoric and reality insights of AI in case study organizations are described while extending the rhetoric institutionalism theory, how organizations develop specific rhetorical strategies when defining the organizational goals, and how organizations strategically use symbols like (words and signs) to empower the ability of practicality in the organizations.Expand
  • PDF
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Stitching Data Threads: Impact of Artificial Intelligence on Fashion Evolution

    Sandeep PrabhuP. AshokRutuja NandanwarGiri. G. HallurComputer Science, Business2024 4th International Conference on Innovative…
  • 2024
TLDRIt has been observed that people regardless of their age use recommendation systems while shopping online, and this study focuses on how Artificial Intelligence can be used as a recommendation system.Expand
  • 11
  • 1 Excerpt
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University of Birmingham Artificial intelligence in business-to-business marketing

    Yuanzhu ZhanYichuan DwivediTanKim HuaBusiness, Computer Science
  • 2021
TLDRThis study investigates the approaches that AI can be used for enabling B2B marketing innovation and categorises the use of AI for innovation in B2B marketing into five domains, identified the main trends in the literature, and suggest directions for future research.Expand
  • PDF
  • 3 Excerpts
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Artificial-Intelligence-Enabled Innovation Ecosystems: A Novel Triple-Layer Framework for Micro, Small, and Medium-Sized Enterprises in the Chinese Apparel-Manufacturing Industry

    Chen QuEunyoung KimEngineering, BusinessSustainability
  • 2025
TLDRThis study qualitatively analyzes interviews with representatives from enterprises, universities, and apparel associations to determine the required AI capabilities and barriers to adopting AI and proposes 13 propositions within a theoretical framework that addresses barriers and aligns multi-actor collaborations, ultimately forming a sustainable AI-enabled Triple-Layer Innovation Ecosystem Framework.Expand
  • 4
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THE INFLUENCE OF ARTIFICIAL INTELLIGENCE ON THE FASHION INDUSTRY: CREATIVITY, SUSTAINABILITY, AND INNOVATION

    Michelle Lins De LimaBusiness, Environmental ScienceInternational Seven Journal of Multidisciplinary
  • 2023
TLDRResearch highlights that AI can enhance creativity but also presents challenges that require careful integration and continuous adaptation to the creative process, reflecting a digital future where collaboration between humans and machines is essential.ExpandSave...12345...

192 References

Citation TypeHas PDFAuthorMore FiltersMore FiltersFiltersSort by RelevanceSort by Most Influenced PapersSort by Citation CountSort by Recency

Applications of artificial intelligence in the apparel industry: a review

    Z. X. GuoW. WongS. LeungMin LiBusiness, Computer Science
  • 2011
TLDRIt is shown that research on AI applications in the apparel industry is still limited by analyzing the limitations of previous studies and research challenges, and suggestions for further studies are offered.Expand
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Decision support and intelligent systems in the textile and apparel supply chain: An academic review of research articles

    E. NgaiS. PengP. AlexanderK. MoonBusiness, EngineeringExpert Syst. Appl.
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Artificial intelligence and its application in the apparel industry

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Fuzzy association rule mining for fashion product development

    C.K.H. LeeY. K. TseG. HoK. ChoyBusinessInd. Manag. Data Syst.
  • 2015
TLDRThe results reveal that the FARM approach can provide knowledge support to the fashion industry during NPD, shorten the NPD cycle time, and increase customer satisfaction.Expand
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An expert system to improve the functioning of the clothing industry

    K. Santiago-SantiagoA. Laureano-CrucesJorge Manuel Alejandro Antuñano-BarrancoO. Domínguez-PérezE. Sarmiento-BustosEngineering, Business
  • 2015
Purpose – Today the garment industry in Mexico is vulnerable to complex problems. This type of industry is subject to influences which over time, modify the perceptions of those involved in the… Expand
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RECOT: an expert system for the reduction of environmental cost in the textile industry

    K. MetaxiotisEnvironmental ScienceInf. Manag. Comput. Secur.
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TLDRThis paper presents an expert system for a priori economic evaluation of potential interventions in the textile manufacturing processes and equipment, designed and implemented in four stages, and proposes a unified information system that supports the decision‐making process in the management of textile enterprises.Expand
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Data mining to improve industrial standards and enhance production and marketing: An empirical study in apparel industry

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An intelligent fast sales forecasting model for fashion products

    Yong YuT. ChoiC. HuiBusiness, Computer ScienceExpert Syst. Appl.
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An empirical study of intelligent expert systems on forecasting of fashion color trend

    Yong YuC. HuiT. ChoiBusiness, Computer ScienceExpert Syst. Appl.
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Association Rules as a Decision Making Model in the Textile Industry

    Visnja IstratNenad LalicBusiness, Computer Science
  • 2017
TLDRIt has been shown using a real-life dataset containing 2000 transactions from the textile industry of the South East Europe region that the approach proposed is useful in discovering effective knowledge in data associated with sales.Expand
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