Sebastian Krolo
Digital Twin Engineering Intern · BMW
AI & Machine Learning · Cloud & DevOps
AI Training
AI for Supply Chain & Logistics
Demand forecasting, route optimization, and intelligent inventory systems.
Overview
Supply chains generate massive data but underuse predictive intelligence. Learn demand forecasting, inventory optimization, route planning, supplier risk scoring, and digital twin concepts — with case studies from manufacturing and logistics networks.
Curriculum
Week 1 — Supply Chain AI Foundations
- Data readiness
- Forecasting basics
- KPI frameworks
Week 2 — Demand & Inventory Intelligence
- Demand sensing
- Safety stock optimization
- SKU prioritization
Week 3 — Logistics & Network Optimization
- Route optimization
- Warehouse automation
- Supplier risk models
Week 4 — Capstone: Supply Chain AI Roadmap
- Pilot design
- ROI estimation
- Integration plan
Learning Outcomes
- Supply chain AI opportunity map
- Forecasting prototype with documented assumptions
- Operations KPI dashboard specification
- Verified AI Capability Certificate
Skills Covered
Demand Forecasting
Inventory Optimization
Logistics AI
Operations Analytics
Expert Instructors
Learn from verified industry practitioners and professors from the Praktix expert network.
Francisco Duarte
Head of Innovation · Siemens
Industry Expert
Prof.Dr.Ing. Ahmed Ebada
Senior Producr Manager · BMW Group
Industry Expert
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