Applying AI for Future Business Models in the Textile and Fashion Value Chain

This paper aims to elaborate on the past, present and future application of Artificial Intelligence (AI) in global textile production. For this purpose, leading companies along the entire production chain will be interviewed on the topic using the World Café method at the joint conference of the International Apparel Federation (IAF) and the International Textile Manufacturers Federation (ITMF) 2024 in Samarkand, Uzbekistan. Based on the results, the biggest obstacles to the implementation of AI methods in textile production, the most promising technologies and suitable methods for supporting companies in the implementation of AI methods are empirically derived.

Authors

Institutions

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-03-07
DOI
https://doi.org/10.22214/ijraset.2025.67255
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Applying AI for Future Business Models in the Textile and Fashion Value Chain

Cedric Heyen
International Journal for Research in Applied Science and Engineering Technology
Digital Transformation in Industry
article

Applying AI for Future Business Models in the Textile and Fashion Value Chain

Cedric Heyen
article en

Abstract

This paper aims to elaborate on the past, present and future application of Artificial Intelligence (AI) in global textile production. For this purpose, leading companies along the entire production chain will be interviewed on the topic using the World Café method at the joint conference of the International Apparel Federation (IAF) and the International Textile Manufacturers Federation (ITMF) 2024 in Samarkand, Uzbekistan. Based on the results, the biggest obstacles to the implementation of AI methods in textile production, the most promising technologies and suitable methods for supporting companies in the implementation of AI methods are empirically derived.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(3)
FEG Textiltechnik (Germany) (DE)
Openalex Percentile: Top 95%
Digital Transformation in Industry
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.