Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
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
AI for Demand Forecasting
- Time-series forecasting using machine learning
- Managing seasonality and trend components
- Enhancing forecast accuracy with historical data
Inventory Optimization and Replenishment
- Predicting stock levels using AI
- 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
- Applying AI to picking, sorting, and storage automation
- Using computer vision for shelf monitoring
- Coordinating with AGVs and robotic arms
Real-Time Analytics and Dashboarding
- Building live dashboards with Tableau and Python
- Monitoring KPIs through real-time data streams
- Generating alerts and handling 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 Future Steps
Requirements
- A solid grasp of supply chain or logistics operations
- Experience with data analysis or business intelligence tools
- Basic familiarity with programming or scripting
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
