How difficult is inventory optimisation for someone with limited statistics experience?
Inventory optimisation can be moderately challenging with limited statistics experience, but it is generally learnable with basic algebra, probability, and spreadsheet or software skills. The difficulty increases when the work involves demand forecasting, uncertainty, and mathematical optimisation. Introductory courses may provide the required statistical foundations, and practice with real examples can help.
Key points
- Core topics may include demand variability, safety stock, service levels, forecasting, and reorder policies.
- You may need to interpret data and assumptions rather than perform advanced statistical research.
- Reviewing basic probability, descriptive statistics, and spreadsheet modelling beforehand can reduce the initial difficulty.
Things to check
- The level depends on the course, assessment methods, and how much mathematics or programming it includes. Check the specific module description and prerequisites.