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 aim to improve efficiency and transparency through the accurate and rapid analysis of big data. AI relies on demand forecasting, improved inventory management, and the proactive identification of potential logistical challenges. It also facilitates more accurate operational and supply decision-making, 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 improve resource management.
3. Developing logistics strategies using predictive modeling.
Main Topics of the Training Program
Risk management and rapid response
Strategies for improving resource management.
Analyzing data in supply chains using artificial intelligence.
Demand forecasting and improving logistics efficiency
Target Audience for the Training Program
Industrial analysts.
Supply chain managers.
Those working in the field of warehousing and logistics.