Harish Venkatasubramanian
ABSTRACT
The domain of Supply chain has rapidly evolved with the ever-increasing need for managers to optimize the entire network for better customer service and profitability. This research article aims to understand the adoption of Machine learning in the arena of optimized supply chain. The paper starts with an introduction giving a background and context to the subject followed by literature review. The review of literature discusses the challenges of SCM and also gives an understanding on the topic of machine learning. The objectives of the paper are to understand the critical challenges of SCM and Analyse the diverse applications of machine learning in supply chain operations challenges and discuss the benefits and challenges of applying ML for optimized SC. The findings of the paper are the various potential areas of application of ML in optimized SC such as demand prediction, route optimization, inventory management etc. The paper concludes by presenting the various potential benefits that a firm could gain and the prominent challenges of Applying ML in SC optimization.
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