Overcoming Supply Chain Challenges with Advanced Machine Learning: Exploring the Potential of Deep Meta-Learning and Multi-Task Learning
Beilei Zhu, Chandrasekar Vuppalapati · 2023
Artificial intelligence and machine learning can significantly enhance supply chain businesses, boosting profit, reducing cost, and improving customer service. They utilize large data volumes to automate tasks and improve decision-making. However, their widespread adoption faces challenges, including shifts in business climate and the requirement of deep industry knowledge for successful application. This paper explores deep meta-learning and multi-task learning as a solution to these challenges. With advanced machine learning techniques, we can overcome traditional limitations and create adaptable supply chain models. We aim to highlight how meta-learning can optimize supply chain operations and enhance business performance utilizing existing shared domain knowledge.