Proceedings of Botho University International Research Conference (BUIRC 2025)

<Previous Article In Volume
Next Article In Volume>

Artificial Intelligence in Sustainable Fashion: A Data-Driven Approach to Waste Reduction and Resource Optimisation

Authors
Rumbidzai T. Machera1, *, Robert P. Machera2, Precious C. Machera3
1Positive Performance, Gaborone, Botswana
2Botho University, Gaborone, Botswana
3Association of Accounting Technicians (AAT), Gaborone, Botswana
*Corresponding author. Email: rumbidzaimachera@gmail.com
Corresponding Author
Rumbidzai T. Machera
Available Online 12 December 2025.
DOI
10.2991/978-94-6463-906-3_23How to use a DOI?
Keywords
Artificial Intelligence; Sustainability; Fashion Marketing; Predictive Analysis; Customer Engagement and Meta - Analysis
Abstract

In the 21st Century, the buzzword is “sustainability.“ In a constantly evolving realm of fashion, it has become very important for both customers and companies to embrace sustainability. This study examined how artificial intelligence (AI) is utilised to advance sustainable fashion and design innovative strategies for effective promotions. The study analysed and examined the potential of AI-driven marketing strategies that enhance customer engagement, reduce waste, and optimise resource utilisation in the fashion industry. The findings in this paper outlined innovative strategies, opportunities, and key factors for creating smart, sustainable campaigns amid rapid technological and environmental shifts. By highlighting the role of technology in achieving sustainability goals, the research contributes to both scholarly debates and practical implementations. The study’s limitations include its dependence on secondary data, which may not entirely reflect the nuances of primary data across various businesses. This study used the Meta - Analysis which is a statistical combination of quantitative studies that calculate pooled effect size.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of Botho University International Research Conference (BUIRC 2025)
Series
Atlantis Highlights in Sustainable Development
Publication Date
12 December 2025
ISBN
978-94-6463-906-3
ISSN
3005-155X
DOI
10.2991/978-94-6463-906-3_23How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Rumbidzai T. Machera
AU  - Robert P. Machera
AU  - Precious C. Machera
PY  - 2025
DA  - 2025/12/12
TI  - Artificial Intelligence in Sustainable Fashion: A Data-Driven Approach to Waste Reduction and Resource Optimisation
BT  - Proceedings of Botho University International Research Conference (BUIRC 2025)
PB  - Atlantis Press
SP  - 373
EP  - 397
SN  - 3005-155X
UR  - https://doi.org/10.2991/978-94-6463-906-3_23
DO  - 10.2991/978-94-6463-906-3_23
ID  - Machera2025
ER  -