Supply Chain Management
BC/NAV Shared Sessions
How do you plan optimal inventory levels for thousands of items when demand is intermittent? Having seemingly random, sporadic demand is the worst case scenario for forecasting - it just doesn't work. We will discuss typical approaches, combining forecasts and rules of thumb, why they often fail, and how probabilistic modeling methods can make a big difference to your bottom line. We will demonstrate practical examples, working through a service level-driven methodology to manage risk and find the optimal balance between inventory investment and availability, and then send corresponding replenishment drivers to BC/NAV to make it so.