**Data Management and Analytics in Industrial Supply Chains Using Artificial Intelligence
Theoretical Background of the Program
Data Management and Analytics in Industrial Supply Chains Using Artificial Intelligence aims to improve efficiency and transparency in the supply chain by analyzing big data accurately and quickly. Artificial intelligence is used to forecast demand, optimize inventory management, and identify potential logistical challenges in advance. It also helps make more precise decisions regarding operations and supplies, reducing costs and increasing responsiveness to market changes.
General Objective of the Training Program
1.Understanding how to use artificial intelligence to improve industrial supply chains.
2.Analyzing big data to enhance resource management.
3.Developing logistics strategies using predictive modeling.
Main Topics of the Training Program
Strategies to Improve Resource Management
Data Analytics in Supply Chains Using Artificial Intelligence
Demand Forecasting and Logistics Efficiency Improvement
Risk Management and Rapid Response
Target Audience for the Training Program
Storage and Logistics Personnel
Industrial Analysts
Supply Chain Managers