Integrating AI and Sustainable Practices in the Supply Chain of the Garment Industry in Bangladesh
Pysyvä osoite
Kuvaus
Bangladesh’s garment sector is a key part of the country’s economy as this industry adding over
billions to GDP, employing millions, and accounting for 80% of the nation’s exports. But with
inefficiencies in supply chain management (SCM), wastage of resources and environmental is
sues plaguing the sector, it faces several hurdles in its sustainability journey. At the same time,
emerging technologies, for example, Artificial Intelligence (AI) promise a transformational po
tential for improving the efficiency of operations, as well as facilitating the adoption of sustain
ability in SCM. However, there is scarce utilization of AI for sustainability in the RMG industry of
Bangladesh.
This paper identifies the obstacles and possibilities of AI and sustainability integration in the SCM
in a Bangladeshi RMG sector. Based on qualitative interviews with industry experts and quanti
tative survey data from 31 respondents at 30 companies, this thesis analyses the status of AI
adoption in the context of sustainability, pinpoint main fields), e.g., energy efficiency (29%),
waste reduction (25%), ethical sourcing (25%), circular economy considerations (25%) and ex
plore barriers towards such adoption. The results indicate that AI adoption is in its infancy (with
only 32.3% of the firms using AI in SCM), but that there is a strong belief in its sustainability
potential.
The study proposes a conceptual framework linking AI-based decision-making tools (e.g., pre
dictive analytics, IoT monitoring) to sustainability dimensions (environmental, social, economic)
and supply chain integration. Cost (33%), privacy issues (29%) and lack of skilled workforce
(21%) are significant obstacles. To tackle these challenges, the thesis suggests a step-by-step
introduction of AI, upskilling of the workforce, policy which incentivises and knowledge-sharing
partnerships working collaboratively in industry.
By coupling AI innovation with sustainable SCM, the study offers practical implications to indus
try, policy, and global brands to future proof and leverage the operations of Bangladesh’s gar
ment supply chain for resilience, efficiency, and ethics. The results reinforce AI’s crucial role in
realizing the full potential of operational excellence and sustainable operation and enable the
industry to be competitive in a global environment.
