Key stats:
Lessons
4
Study Mode
100% Online
Speed
Self-Paced
Location
UK Institution
About this programme
Supply chains do not usually break at the warehouse. They break at the forecast, weeks earlier, and everything downstream is just the consequence arriving. This AI for Supply Chain course from Royale Business College shows operations and logistics professionals how machine learning improves demand sensing, inventory positioning, and routing, and why most of the benefit is lost when the planning behaviour around it does not change.
What will you learn
- Why supply chains break upstream, and how forecast error amplifies through the network
- Building demand sensing that reads real signals rather than repeating last year
- Optimising inventory, warehouse routing, and transit with machine learning models
- Implementing predictive systems so planners actually use them
Programme lessons
- Where Supply Chains Actually Break Demand signal distortion, the bullwhip effect, and the cost of being confidently wrong early.
- Demand Sensing and Predictive Forecasting Reading external signals, seasonality, and shocks rather than extrapolating history.
- Inventory, Routing and Warehouse Optimisation Stock positioning, dynamic routing, and the trade-off between service and working capital.
- Implementation and Planner Behaviour Why good models get overridden, and how to make prediction stick in the planning cycle.
