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Course Outline
Introduction to AI in Supply Chain and Logistics
- Emerging trends in smart logistics
- Comparing AI with traditional analytics in supply chain management
- Key technologies and platforms driving innovation
AI-Driven Demand Forecasting
- Implementing time-series forecasting using machine learning
- Managing seasonality and trend components effectively
- Enhancing forecast accuracy through historical data analysis
Inventory Optimization and Replenishment Strategies
- Predicting optimal stock levels using AI
- Calculating safety stock and reorder points
- Integrating AI solutions with ERP and WMS systems
Route Optimization and Fleet Intelligence
- Utilizing shortest path algorithms for efficient delivery routing
- Implementing traffic-aware dynamic route planning
- Scheduling transport operations with AI assistance
Warehouse Automation and Robotics
- Applying AI to automate picking, sorting, and storage
- Using computer vision for real-time shelf monitoring
- Coordinating operations with AGVs and robotic arms
Real-Time Analytics and Dashboarding
- Creating live dashboards using Tableau and Python
- Monitoring KPIs via real-time data streams
- Configuring alerts and exception handling mechanisms
Case Study and Capstone Project
- Analyzing complex multi-node supply chain scenarios
- Applying developed forecasting and routing models
- Presenting a comprehensive, data-driven logistics optimization plan
Summary and Next Steps
Requirements
- Solid understanding of supply chain or logistics operations
- Proficiency with data analysis or business intelligence tools
- Basic familiarity with programming or scripting languages
Target Audience
- Supply chain analysts
- Logistics managers
- Industrial planners
21 Hours
Testimonials (2)
The input fm other industries through the trainer.
Lars Schacht - Scandlines Danmark ApS
Course - Advanced Sales and Operations Planning (S&OP) for Demand Forecasting
I liked the most that the trainer was professional, highly skilled in his domain of activity and very friendly towards us. 10/10
