AI-Powered Optimization for Multi-Tier Supply Chain Ordering

This research explores a practical application of AI in supply chain management, a critical area for efficiency and cost reduction. The combination of a Liquid Neural Network and Extreme Gradient Boosting model suggests an innovative approach, although the specifics of the implementation need further investigation.

• •The paper presents a hybrid AI model for supply chain optimization.
• •The model utilizes a Liquid Neural Network and Extreme Gradient Boosting.
• •The focus is on improving order management within complex supply chains.