AI-Powered Transformation in Home Textiles: Efficiency, Sustainability, and Consumer Experience
- Title
- AI-Powered Transformation in Home Textiles: Efficiency, Sustainability, and Consumer Experience
- Creator
- Gurusamy, M.; Seranmadevi, R.; Barani, D.; Iswarya, M.
- Description
- Background The home textile sector, including bed linens, towels, and curtains, is under pressure from rising consumer expectations, stricter sustainability standards, and supply chain uncertainties. Artificial intelligence (AI) is emerging as a strategic enabler, offering innovative solutions across design, production, quality control, logistics, and customer interaction. Methods The scope includes a scoping review (20152025) of peer-reviewed literature and reputable industry reports, supplemented by documented corporate cases in home textiles. Inclusion required explicit metrics (e.g., yield %, energy or water usage, forecast error) or reproducible descriptions of AI workflows. Results Analysis shows that AI improves efficiency and competitiveness through multiple pathways: (i) trend forecasting and generative design tools; (ii) optimized color matching and dyeing via machine learning and spectral systems; (iii) automated defect detection and predictive maintenance using computer vision and IoT; (iv) cutting-room efficiency through AI nesting algorithms; (v) supply chain resilience with demand sensing and drone-assisted inventory checks; and (vi) blockchain-based platforms that ensure cotton traceability. On the consumer side, AI enhances personalization and supports the growth of smart bedding products. These applications reduce waste, improve product quality, and reinforce sustainability initiatives. Conclusion AI complements rather than replaces human creativity and craftsmanship. Organizations in the home textile industry that embrace AI strategically across design studios, mill operations, and retail channels can achieve measurable improvements in productivity, sustainability, and consumer trust, positioning themselves for long-term competitive advantage. 2025, Textile Association (India). All rights reserved.
- Source
- Journal of the Textile Association;Volume;86;Issue;4;pp.376-381
- Date
- 01-01-2025
- Publisher
- Textile Association (India)
- Subject
- Artificial Intelligence; Home Textile Industry; Smart Manufacturing; Supply Chain Optimization; Sustainability
- Coverage
- Gurusamy M., Department of MBA, Adarsh Institute of Management and Information Technology, Karnataka, Bengaluru, India; Seranmadevi R., Department of Professional Studies, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Barani D., Sharda School of Business Studies, Sharda University, Uttar Pradesh, Greater Noida, India; Iswarya M., Department of Management Sciences, Hindusthan College of Engineering and Technology, Tamil Nadu, Coimbatore, India
- Rights
- Restricted Access; Hardcopy may be available in the library
- Relation
- ISSN: 3684636;
- Format
- online
- Language
- English
- Type
- Article
Collection
Citation
Gurusamy, M.; Seranmadevi, R.; Barani, D.; Iswarya, M., “AI-Powered Transformation in Home Textiles: Efficiency, Sustainability, and Consumer Experience,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 19, 2026, https://archives.christuniversity.in/items/show/23748.