AI-Powered Optimization of Industrial Supply Chains: A Data Science Approach
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Abstract
Background: AI adoption in global supply chains has productively directed to inefficiencies, reduced costs, and improved agenda. In Bangladesh, AI adoption rose from 2% in 2015 to 35% in 2024, with increased efficiency and cost reductions. Initiatives such as the Bangladesh National Digital Framework and AI in Logistics have encouraged an understanding ecosystem. However, further research is needed to identify the chance for scalability and deeper improvements. Objective: This learning prospects AI's impact on industrial supply chains in Bangladesh, computing cost savings and efficiency enhancements over period. It prioritizes the role of government initiatives and the potential of AI in building efficient, sustainable supply chains. Methodology: The research engages in descriptive and statistical techniques to determine trends in AI adoption and affiliated benefits. Historical data from 2015-2024 on adoption rates, cost savings, and efficiency improvements are determined using explicative inspection and trend findings. Correlation examines the relationship between AI adoption and functioning benefits. Data resources include industry reports and policy research by Light Castle Partners and ResearchGate. Key metrics—cost savings and efficiency improvements—are derived for useful findings. Results: Findings reveal important enhancements, with cost savings increasing from 2% in 2015 to 20% in 2024, and efficiency gains increasing from 5% to 25%. Sectors like RMG, FMCG, and logistics advantages most from AI technologies such as automation and differential response. Government initiatives like the Bangladesh National Digital Framework played a critical role. Strong correlations exist between AI adoption and cost savings (0.89) and efficiency improvements (0.92). Conclusion: AI is altering supply chains in Bangladesh, operating inexpensive gains. Challenges like skill gaps and high implementation costs remain. Addressing these problems through policies and collaborations can unlock AI's full potential in supply chain optimization.
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Publication Details
- Type of Publication: Conference
- Conference Name: International Conference on Emerging Technologies for Sustainable Development (ICETSD 2025)
- Date of Conference: 22/02/2025 - 22/02/2025
- Venue: Jashore University of Science and Technology (JUST), Bangladesh
- Organizer: Jashore University of Science and Technology (JUST), Bangladesh