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Course Outline
Overview of AI in Supply Chain and Logistics
- Emerging trends in smart logistics.
- Comparing AI with traditional analytics in supply chain management.
- Key technologies and platforms.
AI for Demand Forecasting
- Time-series forecasting using machine learning.
- Handling seasonality and trend components.
- Enhancing forecast accuracy with historical data.
Inventory Optimization and Replenishment
- AI-driven prediction of stock levels.
- Calculating safety stock and reorder points.
- Integrating AI with ERP and WMS systems.
Route Optimization and Fleet Intelligence
- Shortest path algorithms and delivery routing.
- Traffic-aware dynamic route planning.
- AI-enabled transport scheduling.
Warehouse Automation and Robotics
- AI applications in picking, sorting, and storage automation.
- Using computer vision for shelf monitoring.
- Coordinating with AGVs and robotic arms.
Real-Time Analytics and Dashboarding
- Creating live dashboards with Tableau and Python.
- Monitoring KPIs via real-time data streams.
- Generating alerts and managing exceptions.
Case Study and Capstone Project
- Analyzing a multi-node supply chain scenario.
- Applying forecasting and routing models.
- Presenting a data-driven logistics optimization plan.
Summary and Next Steps
Requirements
- A foundational understanding of supply chain or logistics operations.
- Experience using data analysis or business intelligence tools.
- Basic familiarity with programming or scripting languages.
Audience
- Supply chain analysts.
- Logistics managers.
- Industrial planners.
21 Hours
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 3900 € + VAT*
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