Lesson 3.3 — AI Safety Stock Optimisation
Lesson 3.3 — AI Safety Stock Optimisation
Safety stock protects organisations against uncertainty.
Traditional safety stock calculations often rely on simple formulas and static assumptions.
AI improves safety stock by analysing:
- Demand variability
- Lead-time variability
- Supplier performance
- Seasonal volatility
- Operational disruption patterns
Traditional Safety Stock Problems
Traditional methods may:
- Overestimate inventory requirements
- Underestimate operational risk
- Ignore changing demand behaviour
- Fail to adapt quickly
This creates either:
- Excess inventory
or - Insufficient resilience
AI Dynamic Safety Stock
AI systems dynamically adjust safety stock levels based on:
- Real-time demand changes
- Supplier reliability
- Forecast confidence
- Operational risk exposure
This creates:
- Better availability
- Lower waste
- Improved resilience
- Reduced inventory holding cost