Impact of AI and Machine Learning on Supply Chain Optimization in Developing Economies

Background: Emerging economies face various unsolved issues that limit supply chain development, such as inefficiency and unhealthy competition, lack of transparency, and an underdeveloped technological infrastructure.

Purpose: This paper describes how Artificial Intelligence and Machine Learning can solve these problems with the help of supply chain management in various areas. In developing economies, Artificial Intelligence and Machine Learning are transforming supply chain management, offering exceptional opportunities for optimization. In this paper, the innovative potential of AI and Ml is explored, as how this technology enhances supply chain efficiency, minimizing operational cost and optimizing decision-making in resource bottleneck environments. There are so many unique challenges in developing economies that impact supply chain performance such as gaps in infrastructures, partial access to data, and irregular market conditions.

Methods: A literature review of recent studies and reports on AI and ML applications. This paper discusses the concept of the supply chain, artificial intelligence, and machine learning, and recent applications of Artificial Intelligence and Machine Learning in the processes of the supply chain, it analyses critical constraints to adoption, skill gaps, investment hurdles as well as technological readiness.

Results: AI and Machine learning-driven technologies are strengthening organizations in various fields to better presume trends in the market such as decreasing the lead time, enhancing the level of inventory, probabilistic analytics, and market forecasting. This paper studies the continuous with a discussion of how supply chain optimization using AI and ML might promote long-term economic growth in developing nations and policy recommendations to encourage wider usage of these technologies.

Conclusion: In the end, Artificial Intelligence and Machine learning are critical instruments for enhancing supply chain competitiveness and resilience in the face of external economic challenges. Even though there are some hurdles such as technological adaptation and infrastructural requirements, the implementation of AI and ML can help improve supply chain efficiency and enable economic growth in emerging economies.