Examensarbete - AI-driven S&OP inom global industri
Core
Explore how AI and advanced analytics can strengthen the Sales & Operations Planning (S&OP) process to improve forecasting accuracy and decision-making.
Role type
Student research project (Thesis) - AI & Supply Chain
Builds
Insights and recommendations for a more data-driven, flexible, and accurate planning process
Domain
Industrial manufacturing / Supply Chain Management
Deliverable
research
Required skills
Statistical analysis, Data analysis, Machine learning concepts, Forecasting, Process improvement
Preferred skills
Knowledge of S&OP, Industrial economics, Logistics, AI/ML frameworks
Technologies
Office suite, Data analysis tools
Responsibilities
Identify patterns and trends in demand, Explore AI/ML applications for improved forecasting, Analyze data for better decision support, Identify improvement areas in the current S&OP process, Develop recommendations for process development